NeurIPS 2024 Thursday 12/12

Timezone: America/Vancouver

Full Schedule Tue 12/10 Wed 12/11 Thu 12/12 Fri 12/13 Sat 12/14 Sun 12/15

Registration Desk

Registration (East & West)

7:30 AM - 6:00 PM

Invited Talk

A Match Made in Silicon: The Co-Evolution of Systems and AI

Lidong Zhou

8:30 AM - 9:30 AM

To ask a question remotely, visit Slido and enter #neurips2024?

In a world where rapid innovation fuels our greatest ambitions, systems and AI have found themselves in a dynamic and transformative partnership. The systems community has worked tirelessly in the background, building the foundation that enabled AI’s meteoric rise. But now, AI’s exponential progress threatens to outpace the very systems supporting it. At this critical juncture, we propose a bold “marriage”—one that allows systems and AI to co-evolve in ways that push each beyond its current boundaries.

In this keynote, we will examine the role of systems in accelerating AI advancements, the strains AI’s unprecedented growth places on current infrastructures, and the emerging ways AI can reciprocate by transforming the systems landscape. Through systems thinking and core principles, we will outline the grand challenges that arise from this union, envisioning a future where systems and AI reshape each other, charting a path forward that calls on the AI community to foster a future of symbiotic growth.

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Speaker Bio

Dr. Lidong Zhou is a Corporate Vice President at Microsoft, Chief Scientist of the Microsoft Asia Pacific R&D Group, and Managing Director of Microsoft Research Asia. With a Ph.D. in Computer Science from Cornell University, Dr. Zhou’s career at Microsoft began in 2002. His journey has spanned across Microsoft's Research labs, including the Silicon Valley lab as a researcher, the Redmond lab as a principal researcher and Research Manager of the Systems Research Group, and the Asia lab where he currently serves as the Managing Director since 2021. Dr. Zhou's expertise lies in the field of computer systems research, particularly in developing scalable, reliable, and trustworthy distributed systems, with best papers at the ACM Symposium on Operating Systems Principles (SOSP), the USENIX Symposium on Operating Systems Design and Implementation (OSDI), and the USENIX Annual Technical Conference (ATC). He has played a pivotal role in the design and development of large-scale distributed systems, which are integral to various Microsoft products and services, from search engines and big data infrastructure to cloud systems and AI infrastructure. Dr. Zhou is both an ACM Fellow and an IEEE Fellow. He has served on the editorial boards of ACM Transactions on Computer Systems, ACM Transactions on Storage, and IEEE Transactions on Computers. In 2023, he chaired the ACM Software System Award Committee and currently chairs the steering committee of SOSP. He was the general Co-Chair of SOSP 2017 and will serve as the PC Co-Chair of OSDI 2025.

Zhenghao Lin · Zhibin Gou · Yeyun Gong · Xiao Liu · yelong shen · Ruochen Xu · Chen Lin · Yujiu Yang · Jian Jiao · Nan Duan · Weizhu Chen

Return of Unconditional Generation: A Self-supervised Representation Generation Method

Tianhong Li · Dina Katabi · Kaiming He

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Chunlin Tian · Zhan Shi · Zhijiang Guo · Li Li · Cheng-Zhong Xu

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Oral

Oral Session 3B: Natural Language Processing

10:00 AM - 11:00 AM

3 Events in this session

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions

Zhe Hu · Tuo Liang · Jing Li · Yiren Lu · Yunlai Zhou · Yiran Qiao · Jing Ma · Yu Yin

Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle

Shangzi Xue · Zhenya Huang · Jiayu Liu · Xin Lin · Yuting Ning · Binbin Jin · Xin Li · Qi Liu

Questioning the Survey Responses of Large Language Models

Ricardo Dominguez-Olmedo · Moritz Hardt · Celestine Mendler-Dünner

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Oral

Oral Session 3D: Natural Language Processing

10:00 AM - 11:00 AM

3 Events in this session

Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation

Jingchang Chen · Hongxuan Tang · Zheng Chu · Qianglong Chen · Zekun Wang · Ming Liu · Bing Qin

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs

Haokun Lin · Haobo Xu · Yichen WU · Jingzhi Cui · Yingtao Zhang · Linzhan Mou · Linqi Song · Zhenan Sun · Ying Wei

Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models

Sangwoong Yoon · Himchan Hwang · Dohyun Kwon · Yung-Kyun Noh · Frank Park

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Oral

Oral Session 3C: Natural Language Processing

10:00 AM - 11:00 AM

3 Events in this session

PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression

Vladimir Malinovskii · Denis Mazur · Ivan Ilin · Denis Kuznedelev · Konstantin Burlachenko · Kai Yi · Dan Alistarh · Peter Richtarik

LLM Evaluators Recognize and Favor Their Own Generations

Arjun Panickssery · Samuel Bowman · Shi Feng

Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought

Qiguang Chen · Libo Qin · Jiaqi Wang · Jingxuan Zhou · Wanxiang Che

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Session

Overflow for Oral Session 3C: Natural Language Processing

10:00 AM - 11:00 AM

Session

Overflow for Oral Session 3B: Natural Language Processing

10:00 AM - 11:00 AM

Creative AI Session 5

Jean Oh · Marcelo Coelho · Lia Coleman · Yingtao Tian

11:00 AM - 2:00 PM

16 Events in this session

Autonoetic Intelligence: A Human-AI System for Being with the Time Being

Peggy Yin · Pat Pataranutaporn · Kavin Winson · Auttasak Lapapirojn · Pichayoot Ouppaphan · Monchai Lertsutthiwong · Patricia Maes · Hal Hershfield

Be the Beat: AI-Powered Boombox for Music Generation from Freestyle Dance

Zhixing Chen · Ethan Chang

Dialogue with the Machine and Dialogue with the Art World: A Method for Evaluating AI as a Tool for Creativity

Rida Qadri · Piotr Mirowski · Aroussiak Gabriellan · Farbod Mehr · Huma Gupta · Pamela Karimi · Remi Denton

DreamLLM-3D: Affective Dream Reliving using Large Language Model and 3D Generative AI

Pinyao Liu · Keon Ju M. Lee · Alexander Steinmaurer · Claudia Picard-Deland · Michelle Carr · Alexandra Kitson

E(*)star, navigating the landscape of emotion language

Ferdinand Kok · Marieke M. M. Peeters · Stefan Leijnen

Exposed to AI: The Paradox of Trust and Vulnerability in Human-Machine Interactions

Zoe Zhiqiu Jiang

For All Mankind

Rishabh Chakrabarty

Memoroscope

Keunwook Kim

Navigating Ambiguity: Investigative gameplay with a Large Language Object in "A Mystery for You"

Haoheng Tang · Mrinalini Singha

Neural Artefact Black

Immanuel Koh

Neural MONOBLOC Black

Immanuel Koh

Neural Tides: Oceanic Neural Granular Synthesizer

Sabina Hyoju Ahn · Ryan Millett · Seyeon Park

Poespin-Wherever your body reach, there is a poetry

Yiqing Li · Yihua Li · Yetong Xin · Allison Parrish · Hongyue Chen

RECITYGEN Interactive and Generative Participatory Urban Design Tool with Latent Diffusion and Segment Anything

mo di · Mingyang Sun · Chengxiu Yin · Runjia Tian · wu yanhong

Symbiosis

Runjia Tian

Text2Tradition: From Epistemological Tensions to AI-Mediated Cultural Co-Creation

Pat Pataranutaporn · Chayapatr Archiwaranguprok · Phoomparin Mano · Piyaporn Bhongse-tong · Patricia Maes · Pichet Klunchun

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Poster

Poster Session 3 West

11:00 AM - 2:00 PM

264 Events in this session

Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference

Yonghan Jung · Min Woo Park · Sanghack Lee

Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing

Yixin Ren · Yewei Xia · Hao Zhang · Jihong Guan · Shuigeng Zhou

Structured Learning of Compositional Sequential Interventions

Jialin Yu · Andreas Koukorinis · Nicolo Colombo · Yuchen Zhu · Ricardo Silva

Smoke and Mirrors in Causal Downstream Tasks

Riccardo Cadei · Lukas Lindorfer · Sylvia Cremer · Cordelia Schmid · Francesco Locatello

Covariate Shift Corrected Conditional Randomization Test

Bowen Xu · Yiwen Huang · Chuan Hong · Shuangning Li · Molei Liu

Efficient Policy Evaluation Across Multiple Different Experimental Datasets

Yonghan Jung · Alexis Bellot

Qualitative Mechanism Independence

Oliver Richardson · Spencer J Peters · Joseph Halpern

Causal Contrastive Learning for Counterfactual Regression Over Time

Mouad EL Bouchattaoui · Myriam Tami · BENOIT LEPETIT · Paul-Henry Cournède

Learning Discrete Concepts in Latent Hierarchical Models

Lingjing Kong · Guangyi Chen · Biwei Huang · Eric Xing · Yuejie Chi · Kun Zhang

Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization

Wei Liu · Zhiying Deng · Zhongyu Niu · Jun Wang · Haozhao Wang · YuanKai Zhang · Ruixuan Li

The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding

Kenneth Enevoldsen · Márton Kardos · Niklas Muennighoff · Kristoffer Nielbo

T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition

Chen Yeh · You-Ming Chang · Wei-Chen Chiu · Ning Yu

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning

Ruben Ohana · Michael McCabe · Lucas Meyer · Rudy Morel · Fruzsina Agocs · Miguel Beneitez · Marsha Berger · Blakesly Burkhart · Stuart Dalziel · Drummond Fielding · Daniel Fortunato · Jared Goldberg · Keiya Hirashima · Yan-Fei Jiang · Rich Kerswell · Suryanarayana Maddu · Jonah Miller · Payel Mukhopadhyay · Stefan Nixon · Jeff Shen · Romain Watteaux · Bruno Régaldo-Saint Blancard · François Rozet · Liam Parker · Miles Cranmer · Shirley Ho

Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

Md Musfiqur Rahman · Matt Jordan · Murat Kocaoglu

Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits

Muhammad Qasim Elahi · Mahsa Ghasemi · Murat Kocaoglu

Disentangled Representation Learning in Non-Markovian Causal Systems

Adam Li · Yushu Pan · Elias Bareinboim

When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding

Marah Ghoummaid · Uri Shalit

From Causal to Concept-Based Representation Learning

Goutham Rajendran · Simon Buchholz · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar

Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators

Yiyan Huang · Cheuk Hang LEUNG · Siyi WANG · YIJUN LI · Qi WU

Identifying General Mechanism Shifts in Linear Causal Representations

Tianyu Chen · Kevin Bello · Francesco Locatello · Bryon Aragam · Pradeep Ravikumar

End-To-End Causal Effect Estimation from Unstructured Natural Language Data

Nikita Dhawan · Leonardo Cotta · Karen Ullrich · Rahul Krishnan · Chris Maddison

Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm

R. Teal Witter · Christopher Musco

Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge

Weihua Du · Qiushi Lyu · Jiaming Shan · Zhenting Qi · Hongxin Zhang · Sunli Chen · Andi Peng · Tianmin Shu · Kwonjoon Lee · Behzad Dariush · Chuang Gan

OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset

Allen Roush · Yusuf Shabazz · Arvind Balaji · Peter Zhang · Stefano Mezza · Markus Zhang · Sanjay Basu · Sriram Vishwanath · Ravid Shwartz-Ziv

ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos

JR-JEN CHEN · Yu-Chien Liao · Hsi-Che Lin · Yu-Chu Yu · Yen-Chun Chen · Frank Wang

SciCode: A Research Coding Benchmark Curated by Scientists

Minyang Tian · Luyu Gao · Shizhuo Zhang · Xinan Chen · Cunwei Fan · Xuefei Guo · Roland Haas · Pan Ji · Kittithat Krongchon · Yao Li · Shengyan Liu · Di Luo · Yutao Ma · HAO TONG · Kha Trinh · Chenyu Tian · Zihan Wang · Bohao Wu · Shengzhu Yin · Minhui Zhu · Kilian Lieret · Yanxin Lu · Genglin Liu · Yufeng Du · Tianhua Tao · Ofir Press · Jamie Callan · Eliu Huerta · Hao Peng

cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers

Anirudh Sundar · Jin Xu · William Gay · Christopher Richardson · Larry Heck

Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire

Yanzhi Li · Keqiu Li · LI GUOHUI · zumin wang · Chanqing Ji · Lubo Wang · Die Zuo · Qing Guo · Feng Zhang · Manyu Wang · Di Lin

Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline

qi jia · baoyu · Cong Xu · Lu Liu · Liang Jin · Guoguang Du · Zhenhua Guo · Yaqian Zhao · Xuanjing Huang · Rengang Li

Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations

David Schneider · Simon Reiß · Marco Kugler · Alexander Jaus · Kunyu Peng · Susanne Sutschet · M. Saquib Sarfraz · Sven Matthiesen · Rainer Stiefelhagen

Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models

Matthew Zheng · Enis Simsar · Hidir Yesiltepe · Federico Tombari · Joel Simon · Pinar Yanardag Delul

Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark

Brianna Karpowicz · Joel Ye · Chaofei Fan · Pablo Tostado-Marcos · Fabio Rizzoglio · Clayton Washington · Thiago Scodeler · Diogo de Lucena · Samuel Nason-Tomaszewski · Matthew Mender · Xuan Ma · Ezequiel Arneodo · Leigh Hochberg · Cynthia Chestek · Jaimie Henderson · Timothy Gentner · Vikash Gilja · Lee Miller · Adam Rouse · Robert Gaunt · Jennifer Collinger · Chethan Pandarinath

OAM-TCD: A globally diverse dataset of high-resolution tree cover maps

Josh Veitch-Michaelis · Andrew Cottam · Daniella Schweizer · Eben Broadbent · David Dao · Ce Zhang · Angelica Almeyda Zambrano · Simeon Max

Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation

Chang Liu · Xiwei Wu · Yuan Feng · Qinxiang Cao · Junchi Yan

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Ruisheng Cao · Fangyu Lei · Haoyuan Wu · Jixuan Chen · Yeqiao Fu · Hongcheng Gao · Xinzhuang Xiong · Hanchong Zhang · Wenjing Hu · Yuchen Mao · Tianbao Xie · Hongshen Xu · Danyang Zhang · Sida Wang · Ruoxi Sun · Pengcheng Yin · Caiming Xiong · Ansong Ni · Qian Liu · Victor Zhong · Lu Chen · Kai Yu · Tao Yu

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era

Yohann PERRON · Vladyslav Sydorov · Adam P. Wijker · Damian Evans · Christophe Pottier · Loic Landrieu

SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark

Sithursan Sivasubramaniam · Cedric E. Osei-Akoto · Yi Zhang · Kurt Stockinger · Jonathan Fuerst

DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation

Xueqing Wu · Rui Zheng · Jingzhen Sha · Te-Lin Wu · Hanyu Zhou · Tang Mohan · Kai-Wei Chang · Nanyun Peng · Haoran Huang

The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track

Eshta Bhardwaj · Harshit Gujral · Siyi Wu · Ciara Zogheib · Tegan Maharaj · Christoph Becker

AFBench: A Large-scale Benchmark for Airfoil Design

Jian Liu · Jianyu Wu · Hairun Xie · Guoqing zhang · Jing Wang · Liu Wei · Wanli Ouyang · Junjun Jiang · Xianming Liu · SHIXIANG TANG · Miao Zhang

APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets

Zuxin Liu · Thai Hoang · Jianguo Zhang · Ming Zhu · Tian Lan · Shirley kokane · Juntao Tan · Weiran Yao · Zhiwei Liu · Yihao Feng · Rithesh R N · Liangwei Yang · Silvio Savarese · Juan Carlos Niebles · Huan Wang · Shelby Heinecke · Caiming Xiong

When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models

Yinghui Li · Qingyu Zhou · Yuanzhen Luo · Shirong Ma · Yangning Li · Hai-Tao Zheng · Xuming Hu · Philip S Yu

AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries

Irina Saparina · Mirella Lapata

$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning

Filip Granqvist · Congzheng Song · Áine Cahill · Rogier van Dalen · Martin Pelikan · Yi Sheng Chan · Xiaojun Feng · Natarajan Krishnaswami · Vojta Jina · Mona Chitnis

Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting

Brandon Victor · Mathilde Letard · Peter Naylor · Karim Douch · Nicolas Longepe · Zhen He · Patrick Ebel

WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

Liane Vogel · Jan-Micha Bodensohn · Carsten Binnig

Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes

Qi Ma · Danda Pani Paudel · Ender Konukoglu · Luc V Gool

TaskBench: Benchmarking Large Language Models for Task Automation

Yongliang Shen · Kaitao Song · Xu Tan · Wenqi Zhang · Kan Ren · Siyu Yuan · Weiming Lu · Dongsheng Li · Yueting Zhuang

Assemblage: Automatic Binary Dataset Construction for Machine Learning

Chang Liu · Rebecca Saul · Yihao Sun · Edward Raff · Maya Fuchs · Townsend Southard Pantano · James Holt · Kristopher Micinski

Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding

Alejandro Lozano · Jeffrey Nirschl · James Burgess · Sanket Rajan Gupte · Yuhui Zhang · Alyssa Unell · Serena Yeung

ViLCo-Bench: VIdeo Language COntinual learning Benchmark

Tianqi Tang · Shohreh Deldari · Hao Xue · Celso de Melo · Flora Salim

APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs

Felix Koehler · Simon Niedermayr · rüdiger westermann · Nils Thuerey

MARPLE: A Benchmark for Long-Horizon Inference

Emily Jin · Zhuoyi Huang · Jan-Philipp Fraenken · Weiyu Liu · Hannah Cha · Erik Brockbank · Sarah Wu · Ruohan Zhang · Jiajun Wu · Tobias Gerstenberg

MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset

Xin Shen · Heming Du · Hongwei Sheng · Shuyun Wang · Hui Chen · Huiqiang Chen · Zhuojie Wu · Xiaobiao Du · Jiaying Ying · Ruihan Lu · Qingzheng Xu · Xin Yu

User-item fairness tradeoffs in recommendations

Sophie Greenwood · Sudalakshmee Chiniah · Nikhil Garg

Adaptive Experimentation When You Can't Experiment

Yao Zhao · Kwang-Sung Jun · Tanner Fiez · Lalit Jain

Multi-Group Proportional Representation in Retrieval

Alex Oesterling · Claudio Mayrink Verdun · Alexander Glynn · Carol Long · Lucas Monteiro Paes · Sajani Vithana · Martina Cardone · Flavio Calmon

Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency

Yiran Liu · Ke Yang · Zehan Qi · Xiao Liu · Yang Yu · Cheng Xiang Zhai

Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"

Daniel Gallo Fernández · Răzvan-Andrei Matișan · Alejandro Monroy · Janusz Partyka

Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact

Berkay Chakar · Amina Izbassar · Mina Janićijević · Jakub Tomaszewski

Deep Learning in Medical Image Registration: Magic or Mirage?

Rohit Jena · Deeksha Sethi · Pratik Chaudhari · James Gee

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions

Zhe Hu · Tuo Liang · Jing Li · Yiren Lu · Yunlai Zhou · Yiran Qiao · Jing Ma · Yu Yin

Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking

Gabriel Rioux · Apoorva Nitsure · Mattia Rigotti · Kristjan Greenewald · Youssef Mroueh

Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

Bálint Mucsányi · Michael Kirchhof · Seong Joon Oh

Mercury: A Code Efficiency Benchmark for Code Large Language Models

Mingzhe Du · Anh Tuan Luu · Bin Ji · Qian Liu · See-Kiong Ng

Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior

Madeline Navarro · Samuel Rey · Andrei Buciulea · Antonio G. Marques · Santiago Segarra

Interpolating Item and User Fairness in Multi-Sided Recommendations

Qinyi Chen · Jason Cheuk Nam Liang · Negin Golrezaei · Djallel Bouneffouf

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting

Xiufeng Huang · Ruiqi Li · Yiu-ming Cheung · Ka Chun Cheung · Simon See · Renjie Wan

Tight Bounds for Learning RUMs from Small Slates

Flavio Chierichetti · Mirko Giacchini · Ravi Kumar · Alessandro Panconesi · Andrew Tomkins

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms

Rayna Andreeva · Benjamin Dupuis · Rik Sarkar · Tolga Birdal · Umut Simsekli

Fast Rates for Bandit PAC Multiclass Classification

Liad Erez · Alon Peled-Cohen · Tomer Koren · Yishay Mansour · Shay Moran

Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game

Xiyuan Li · Weiwei Liu

Dimension-free deterministic equivalents and scaling laws for random feature regression

Leonardo Defilippis · Bruno Loureiro · Theodor Misiakiewicz

Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization

Jiarui Jiang · Wei Huang · Miao Zhang · Taiji Suzuki · Liqiang Nie

Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training

Yanlai Yang · Matt Jones · Michael Mozer · Mengye Ren

Tolerant Algorithms for Learning with Arbitrary Covariate Shift

Surbhi Goel · Abhishek Shetty · Konstantinos Stavropoulos · Arsen Vasilyan

Continual Learning with Global Alignment

Xueying Bai · Jinghuan Shang · Yifan Sun · Niranjan Balasubramanian

Adversarially Robust Multi-task Representation Learning

Austin Watkins · Thanh Nguyen-Tang · Enayat Ullah · Raman Arora

Sample-Efficient Agnostic Boosting

Udaya Ghai · Karan Singh

Optimal Algorithms for Augmented Testing of Discrete Distributions

Maryam Aliakbarpour · Piotr Indyk · Ronitt Rubinfeld · Sandeep Silwal

Generalization Bounds via Conditional $f$-Information

Ziqiao Wang · Yongyi Mao

Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees

Negin Musavi · Ziyao Guo · Geir Dullerud · Yingying Li

Soft ascent-descent as a stable and flexible alternative to flooding

Matthew Holland · Kosuke Nakatani

Cardinality-Aware Set Prediction and Top-$k$ Classification

Corinna Cortes · Anqi Mao · Christopher Mohri · Mehryar Mohri · Yutao Zhong

Cryptographic Hardness of Score Estimation

Min Jae Song

Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms

Dimitri Meunier · Zikai Shen · Mattes Mollenhauer · Arthur Gretton · Zhu Li

Trade-Offs of Diagonal Fisher Information Matrix Estimators

Alexander Soen · Ke Sun

Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning

Grzegorz Rypeść · Sebastian Cygert · Tomasz Trzcinski · Bartłomiej Twardowski

Local and Adaptive Mirror Descents in Extensive-Form Games

Côme Fiegel · Pierre Ménard · Tadashi Kozuno · Remi Munos · Vianney Perchet · Michal Valko

Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints

Guanyu Nie · Vaneet Aggarwal · Christopher Quinn

When is Multicalibration Post-Processing Necessary?

Dutch Hansen · Siddartha Devic · Preetum Nakkiran · Vatsal Sharan

Optimal Top-Two Method for Best Arm Identification and Fluid Analysis

Agniv Bandyopadhyay · Sandeep Juneja · Shubhada Agrawal

Optimal Multi-Fidelity Best-Arm Identification

Riccardo Poiani · Rémy Degenne · Emilie Kaufmann · Alberto Maria Metelli · Marcello Restelli

Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints

Martino Bernasconi · Matteo Castiglioni · Andrea Celli · Federico Fusco

Improved Algorithms for Contextual Dynamic Pricing

Matilde Tullii · Solenne Gaucher · Nadav Merlis · Vianney Perchet

Regret Minimization in Stackelberg Games with Side Information

Keegan Harris · Steven Wu · Maria-Florina Balcan

Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations

Yasutoshi Ida · Sekitoshi Kanai · Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara

Binary Search with Distributional Predictions

Michael Dinitz · Sungjin Im · Thomas Lavastida · Ben Moseley · Aidin Niaparast · Sergei Vassilvitskii

Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering

Anna Arutyunova · Jan Eube · Heiko Röglin · Melanie Schmidt · Sarah Sturm · Julian Wargalla

Accelerating Matroid Optimization through Fast Imprecise Oracles

Franziska Eberle · Felix Hommelsheim · Alexander Lindermayr · Zhenwei Liu · Nicole Megow · Jens Schlöter

John Ellipsoids via Lazy Updates

David Woodruff · Taisuke Yasuda

S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization

Licheng Zhu · Mathias Oster · Yuehaw Khoo

Functional Bilevel Optimization for Machine Learning

Ieva Petrulionytė · Julien Mairal · Michael Arbel

Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach

Guillaume Wang · Alireza Mousavi-Hosseini · Lénaïc Chizat

First-Order Minimax Bilevel Optimization

Yifan Yang · Zhaofeng Si · Siwei Lyu · Kaiyi Ji

Unveiling LoRA Intrinsic Ranks via Salience Analysis

Wenjun Ke · Jiahao Wang · Peng Wang · Jiajun Liu · Dong Nie · Guozheng Li · Yining Li

Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds

Pengyu Chen · Xu Shi · Rujun Jiang · Jiulin Wang

Weight decay induces low-rank attention layers

Seijin Kobayashi · Yassir Akram · Johannes von Oswald

Boundary Decomposition for Nadir Objective Vector Estimation

Ruihao Zheng · Zhenkun Wang

Mirror and Preconditioned Gradient Descent in Wasserstein Space

Clément Bonet · Théo Uscidda · Adam David · Pierre-Cyril Aubin-Frankowski · Anna Korba

Online Budgeted Matching with General Bids

Jianyi Yang · Pengfei Li · Adam Wierman · Shaolei Ren

HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation

Joseph Cotnareanu · Zhanguang Zhang · Hui-Ling Zhen · Yingxue Zhang · Mark Coates

Learning-Augmented Dynamic Submodular Maximization

Arpit Agarwal · Eric Balkanski

Controlling Continuous Relaxation for Combinatorial Optimization

Yuma Ichikawa

Sketching for Distributed Deep Learning: A Sharper Analysis

Mayank Shrivastava · Berivan Isik · Qiaobo Li · Sanmi Koyejo · Arindam Banerjee

Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy

Shima Adeli · Mojtaba Tefagh · Gourav Jhanwar · Masoud Zarepisheh

Implicit Regularization of Decentralized Gradient Descent for Sparse Regression

Tongle Wu · Ying Sun

Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity

Alexander Tyurin · Marta Pozzi · Ivan Ilin · Peter Richtarik

Rethinking LLM Memorization through the Lens of Adversarial Compression

Avi Schwarzschild · Zhili Feng · Pratyush Maini · Zachary Lipton · J. Zico Kolter

Stabilized Proximal-Point Methods for Federated Optimization

Xiaowen Jiang · Anton Rodomanov · Sebastian Stich

Dual Lagrangian Learning for Conic Optimization

Mathieu Tanneau · Pascal Van Hentenryck

FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning

Lisha Chen · A Saif · Yanning Shen · Tianyi Chen

Ordered Momentum for Asynchronous SGD

Chang-Wei Shi · Yi-Rui Yang · Wu-Jun Li

Instance-Optimal Private Density Estimation in the Wasserstein Distance

Vitaly Feldman · Audra McMillan · Satchit Sivakumar · Kunal Talwar

Noise-Aware Differentially Private Regression via Meta-Learning

Ossi Räisä · Stratis Markou · Matthew Ashman · Wessel Bruinsma · Marlon Tobaben · Antti Honkela · Richard Turner

Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning

Eli Chien · Haoyu Wang · Ziang Chen · Pan Li

PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action

Yijia Shao · Tianshi Li · Weiyan Shi · Yanchen Liu · Diyi Yang

A Synthetic Dataset for Personal Attribute Inference

Hanna Yukhymenko · Robin Staab · Mark Vero · Martin Vechev

This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization

Anthony Bardou · Patrick Thiran · Giovanni Ranieri

Random Function Descent

Felix Benning · Leif Döring

Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions

Wenjing YAN · Xuanyu Cao

On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions

Yusu Hong · Junhong Lin

Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks

Zhenghao Xu · Yuqing Wang · Tuo Zhao · Rachel Ward · Molei Tao

Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization

Zhuanghua Liu · Luo Luo · Bryan Kian Hsiang Low

Fast Encoder-Based 3D from Casual Videos via Point Track Processing

Yoni Kasten · Wuyue Lu · Haggai Maron

DAGER: Exact Gradient Inversion for Large Language Models

Ivo Petrov · Dimitar I. Dimitrov · Maximilian Baader · Mark Müller · Martin Vechev

On provable privacy vulnerabilities of graph representations

Ruofan Wu · Guanhua Fang · Mingyang Zhang · Qiying Pan · Tengfei LIU · Weiqiang Wang

Continual Counting with Gradual Privacy Expiration

Joel Daniel Andersson · Monika Henzinger · Rasmus Pagh · Teresa Steiner · Jalaj Upadhyay

Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable

Martin Bertran · Shuai Tang · Michael Kearns · Jamie Morgenstern · Aaron Roth · Steven Wu

Efficient and Private Marginal Reconstruction with Local Non-Negativity

Brett Mullins · Miguel Fuentes · Yingtai Xiao · Daniel Kifer · Cameron Musco · Daniel Sheldon

How to Solve Contextual Goal-Oriented Problems with Offline Datasets?

Ying Fan · Jingling Li · Adith Swaminathan · Aditya Modi · Ching-An Cheng

Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning

Abdullah Akgül · Manuel Haussmann · Melih Kandemir

Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage

Haobo Zhang · Xiyue Peng · Honghao Wei · Xin Liu

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression

Yixiu Mao · Qi Wang · Chen Chen · Yun Qu · Xiangyang Ji

Explaining RL Decisions with Trajectories': A Reproducibility Study

Karim Abdel Sadek · Matteo Nulli · Joan Velja · Jort Vincenti

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration

Borja G. Leon · Francesco Riccio · Kaushik Subramanian · Peter Wurman · Peter Stone

Can Learned Optimization Make Reinforcement Learning Less Difficult?

Alexander D. Goldie · Chris Lu · Matthew T Jackson · Shimon Whiteson · Jakob Foerster

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning

David Yunis · Justin Jung · Falcon Dai · Matthew Walter

Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning

Aneesh Muppidi · Zhiyu Zhang · Heng Yang

Reinforcing LLM Agents via Policy Optimization with Action Decomposition

Muning Wen · Ziyu Wan · Jun Wang · Weinan Zhang · Ying Wen

Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation

Haoqi Yuan · Yuhui Fu · Feiyang Xie · Zongqing Lu

Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees

Dohyeong Kim · Taehyun Cho · Seungyub Han · Hojun Chung · Kyungjae Lee · Songhwai Oh

Diffusion Imitation from Observation

Bo-Ruei Huang · Chun-Kai Yang · Chun-Mao Lai · Dai-Jie Wu · Shao-Hua Sun

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers

Kai Yan · Alex Schwing · Yu-Xiong Wang

e-COP : Episodic Constrained Optimization of Policies

Akhil Agnihotri · Rahul Jain · Deepak Ramachandran · Sahil Singla

Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control

Seongwoong Cho · Donggyun Kim · Jinwoo Lee · Seunghoon Hong

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps

Benjamin Ellis · Matthew T Jackson · Andrei Lupu · Alexander D. Goldie · Mattie Fellows · Shimon Whiteson · Jakob Foerster

Optimizing Automatic Differentiation with Deep Reinforcement Learning

Jamie Lohoff · Emre Neftci

QGFN: Controllable Greediness with Action Values

Elaine Lau · Stephen Lu · Ling Pan · Doina Precup · Emmanuel Bengio

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

Chen-Hao Chao · Chien Feng · Wei-Fang Sun · Cheng-Kuang Lee · Simon See · Chun-Yi Lee

Recurrent Reinforcement Learning with Memoroids

Steven Morad · Chris Lu · Ryan Kortvelesy · Stephan Liwicki · Jakob Foerster · Amanda Prorok

Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments

Sid Nayak · Adelmo Morrison Orozco · Marina Have · Jackson Zhang · Vittal Thirumalai · Darren Chen · Aditya Kapoor · Eric Robinson · Karthik Gopalakrishnan · James Harrison · Anuj Mahajan · Brian Ichter · Hamsa Balakrishnan

Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient

Steven Li · Rickmer Krohn · Tao Chen · Anurag Ajay · Pulkit Agrawal · Georgia Chalvatzaki

Achieving Constant Regret in Linear Markov Decision Processes

Weitong Zhang · Zhiyuan Fan · Jiafan He · Quanquan Gu

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought

Gabriel Sarch · Lawrence Jang · Michael Tarr · William Cohen · Kenneth Marino · Katerina Fragkiadaki

Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models

Lujun Li · Peijie Dong · Zhenheng Tang · Xiang Liu · Qiang Wang · Wenhan Luo · Wei Xue · Qifeng Liu · Xiaowen Chu · Yike Guo

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation

Arvind Vepa · Zukang Yang · Andrew Choi · Jungseock Joo · Fabien Scalzo · Yizhou Sun

Statistical Multicriteria Benchmarking via the GSD-Front

Christoph Jansen · Georg Schollmeyer · Julian Rodemann · Hannah Blocher · Thomas Augustin

Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning

Arko Banerjee · Kia Rahmani · Joydeep Biswas · Isil Dillig

KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts

Jing-Cheng Pang · Si-Hang Yang · Kaiyuan Li · Jiaji Zhang · Xiong-Hui Chen · Nan Tang · Yang Yu

Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs

Rui Yang · Ruomeng Ding · Yong Lin · Huan Zhang · Tong Zhang

Contextual Bilevel Reinforcement Learning for Incentive Alignment

Vinzenz Thoma · Barna Pásztor · Andreas Krause · Giorgia Ramponi · Yifan Hu

DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning

Anthony Liang · Guy Tennenholtz · Chih-wei Hsu · Yinlam Chow · Erdem Bıyık · Craig Boutilier

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL

Andrew Wagenmaker · Kevin Huang · Liyiming Ke · Kevin Jamieson · Abhishek Gupta

Using Unity to Help Solve Reinforcement Learning

Connor Brennan · Andrew Williams · Omar G. Younis · Vedant Vyas · Daria Yasafova · Irina Rish

Thought of Search: Planning with Language Models Through The Lens of Efficiency

Michael Katz · Harsha Kokel · Kavitha Srinivas · Shirin Sohrabi Araghi

Predicting Future Actions of Reinforcement Learning Agents

Stephen Chung · Scott Niekum · David Krueger

Label Alignment Regularization for Distribution Shift

Ehsan Imani · Guojun Zhang · Runjia Li · Jun Luo · Pascal Poupart · Philip Torr · Yangchen Pan

Beyond task diversity: provable representation transfer for sequential multitask linear bandits

Thang Duong · Zhi Wang · Chicheng Zhang

L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer

Jin Shin · Hyun Kim

Extensive-Form Game Solving via Blackwell Approachability on Treeplexes

Darshan Chakrabarti · Julien Grand-Clément · Christian Kroer

No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests

Davide Legacci · Panayotis Mertikopoulos · Christos Papadimitriou · Georgios Piliouras · Bary Pradelski

MAC Advice for facility location mechanism design

Zohar Barak · Anupam Gupta · Inbal Talgam-Cohen

Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling

Wei Tang · Haifeng Xu · Ruimin Zhang · Derek Zhu

Honor Among Bandits: No-Regret Learning for Online Fair Division

Ariel Procaccia · Ben Schiffer · Shirley Zhang

Learning Optimal Tax Design in Nonatomic Congestion Games

Qiwen Cui · Maryam Fazel · Simon Du

Understanding Model Selection for Learning in Strategic Environments

Tinashe Handina · Eric Mazumdar

Randomized Strategic Facility Location with Predictions

Eric Balkanski · Vasilis Gkatzelis · Golnoosh Shahkarami

Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games

Brian Zhang · Ioannis Anagnostides · Gabriele Farina · Tuomas Sandholm

Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play

Qi Ju · Falin Hei · Ting Feng · Dengbing Yi · Zhemei Fang · YunFeng Luo

Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit

Seok-Jin Kim · Min-hwan Oh

Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates

Jincheng Mei · Bo Dai · Alekh Agarwal · Sharan Vaswani · Anant Raj · Csaba Szepesvari · Dale Schuurmans

State-free Reinforcement Learning

Mingyu Chen · Aldo Pacchiano · Xuezhou Zhang

Reinforcement Learning with LTL and $\omega$-Regular Objectives via Optimality-Preserving Translation to Average Rewards

Xuan Bach Le · Dominik Wagner · Leon Witzman · Alexander Rabinovich · Luke Ong

Foundations of Multivariate Distributional Reinforcement Learning

Harley Wiltzer · Jesse Farebrother · Arthur Gretton · Mark Rowland

Risk-sensitive control as inference with Rényi divergence

Kaito Ito · Kenji Kashima

Periodic agent-state based Q-learning for POMDPs

Amit Sinha · Matthieu Geist · Aditya Mahajan

Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback

Haolin Liu · Zak Mhammedi · Chen-Yu Wei · Julian Zimmert

Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes

Asaf Cassel · Aviv Rosenberg

An Analysis of Elo Rating Systems via Markov Chains

Sam Olesker-Taylor · Luca Zanetti

Accelerating Relative Entropy Coding with Space Partitioning

Jiajun He · Gergely Flamich · José Miguel Hernández-Lobato

On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation

Yuheng Zhang · Nan Jiang

Statistical Inference for Fairness Auditing

John Cherian · Emmanuel Candes

A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits

Junghyun Lee · Se-Young Yun · Kwang-Sung Jun

Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods

Yihan Zhang · Marco Mondelli

Community Detection Guarantees using Embeddings Learned by Node2Vec

Andrew Davison · S. Carlyle Morgan · Owen G. Ward

Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability

Fan Chen · Dylan J Foster · Yanjun Han · Jian Qian · Alexander Rakhlin · Yunbei Xu

On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models

Aditya Bhaskara · Agastya Jha · Michael Kapralov · Naren Manoj · Davide Mazzali · Weronika Wrzos-Kaminska

Learning-Augmented Priority Queues

Ziyad Benomar · Christian Coester

Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits

Haya Diwan · Jinrui Gou · Cameron Musco · Christopher Musco · Torsten Suel

Aligning Model Properties via Conformal Risk Control

William Overman · Jacqueline Vallon · Mohsen Bayati

Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training

Anchit Jain · Rozhin Nobahari · Aristide Baratin · Stefano Sarao Mannelli

RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models

Shuhao Chen · Weisen Jiang · Baijiong Lin · James Kwok · Yu Zhang

Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View

Anlan Yu · Shusen Jing · Ning Lyu · Wujie Wen · Zhiyuan Yan

CogVLM: Visual Expert for Pretrained Language Models

Weihan Wang · Qingsong Lv · Wenmeng Yu · Wenyi Hong · Ji Qi · Yan Wang · Junhui Ji · Zhuoyi Yang · Lei Zhao · Song XiXuan · Jiazheng Xu · Keqin Chen · Bin Xu · Juanzi Li · Yuxiao Dong · Ming Ding · Jie Tang

Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities

Zaiwei Chen · Eric Mazumdar

Hierarchical and Density-based Causal Clustering

Kwangho Kim · Jisu Kim · Larry Wasserman · Edward Kennedy

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment

Teng Xiao · Yige Yuan · Huaisheng Zhu · Mingxiao Li · Vasant Honavar

Recurrent neural networks: vanishing and exploding gradients are not the end of the story

Nicolas Zucchet · Antonio Orvieto

Theoretical Foundations of Deep Selective State-Space Models

Nicola Muca Cirone · Antonio Orvieto · Benjamin Walker · Cristopher Salvi · Terry Lyons

Can Models Learn Skill Composition from Examples?

Haoyu Zhao · Simran Kaur · Dingli Yu · Anirudh Goyal · Sanjeev Arora

ODRL: A Benchmark for Off-Dynamics Reinforcement Learning

Jiafei Lyu · Kang Xu · Jiacheng Xu · yan · Jing-Wen Yang · Zongzhang Zhang · Chenjia Bai · Zongqing Lu · Xiu Li

Metrizing Weak Convergence with Maximum Mean Discrepancies

Carl-Johann Simon-Gabriel · Alessandro Barp · Bernhard Schölkopf · Lester Mackey

Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

Yichong Huang · Xiaocheng Feng · Baohang Li · Yang Xiang · Hui Wang · Ting Liu · Bing Qin

Conformalized Multiple Testing after Data-dependent Selection

Xiaoning Wang · Yuyang Huo · Liuhua Peng · Changliang Zou

Autonomous Driving with Spiking Neural Networks

Rui-Jie Zhu · Ziqing Wang · Leilani Gilpin · Jason Eshraghian

VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions

Guangyan Chen · Meiling Wang · Te Cui · Yao Mu · Haoyang Lu · Tianxing Zhou · Zicai Peng · Mengxiao Hu · Haizhou Li · Li Yuan · Yi Yang · Yufeng Yue

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs

Zhiyuan Hu · Chumin Liu · Xidong Feng · Yilun Zhao · See-Kiong Ng · Anh Tuan Luu · Junxian He · Pang Wei Koh · Bryan Hooi

3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization

Rui Jiao · Xiangzhe Kong · Wenbing Huang · Yang Liu

Improving Gloss-free Sign Language Translation by Reducing Representation Density

Jinhui Ye · Xing Wang · Wenxiang Jiao · Junwei Liang · Hui Xiong

FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?

Marco Bornstein · Amrit Singh Bedi · Abdirisak Mohamed · Furong Huang

Cross-Modality Perturbation Synergy Attack for Person Re-identification

Yunpeng Gong · Zhun Zhong · Yansong Qu · Zhiming Luo · Rongrong Ji · Min JIANG

You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection

Mingbo Hong · Shen Cheng · Haibin Huang · Haoqiang Fan · Shuaicheng Liu

AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning

Shirley Wu · Shiyu Zhao · Qian Huang · Kexin Huang · Michihiro Yasunaga · Kaidi Cao · Vassilis Ioannidis · Karthik Subbian · Jure Leskovec · James Zou

MemVLT: Vision-Language Tracking with Adaptive Memory-based Prompts

Xiaokun Feng · Xuchen Li · Shiyu Hu · Dailing Zhang · wu meiqi · Jing Zhang · Xiaotang Chen · Kaiqi Huang

Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing

Haonan Lin · Yan Chen · Jiahao Wang · Wenbin An · Mengmeng Wang · Feng Tian · Yong Liu · Guang Dai · Jingdong Wang · QianYing Wang

TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing

Junxi Xiao · Qinliang Su

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models

Jiaqi Li · Qianshan Wei · Chuanyi Zhang · Guilin Qi · Miaozeng Du · Yongrui Chen · Sheng Bi · Fan Liu

A Tractable Inference Perspective of Offline RL

Xuejie Liu · Anji Liu · Guy Van den Broeck · Yitao Liang

Exocentric-to-Egocentric Video Generation

Jia-Wei Liu · Weijia Mao · Zhongcong XU · Jussi Keppo · Mike Zheng Shou

Targeted Sequential Indirect Experiment Design

Elisabeth Ailer · Niclas Dern · Jason Hartford · Niki Kilbertus

Diffusion-Inspired Truncated Sampler for Text-Video Retrieval

JIAMIAN WANG · Pichao WANG · Dongfang Liu · Qiang Guan · Sohail Dianat · MAJID RABBANI · Raghuveer Rao · Zhiqiang Tao

Mixture of In-Context Experts Enhance LLMs' Long Context Awareness

Hongzhan Lin · Ang Lv · yuhan chen · chen zhu · Yang Song · Hengshu Zhu · Rui Yan

Improved Sample Complexity Bounds for Diffusion Model Training

Shivam Gupta · Aditya Parulekar · Eric Price · Zhiyang Xun

Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning

Seonghyun Ban · Heesan Kong · Kee-Eung Kim

Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution

Ian Covert · Chanwoo Kim · Su-In Lee · James Zou · Tatsunori Hashimoto

ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Zihan Liu · Wei Ping · Rajarshi Roy · Peng Xu · Chankyu Lee · Mohammad Shoeybi · Bryan Catanzaro

Secret Collusion among AI Agents: Multi-Agent Deception via Steganography

Sumeet Motwani · Mikhail Baranchuk · Martin Strohmeier · Vijay Bolina · Philip Torr · Lewis Hammond · Christian Schroeder de Witt

Causal language modeling can elicit search and reasoning capabilities on logic puzzles

Kulin Shah · Nishanth Dikkala · Xin Wang · Rina Panigrahy

Rethinking 3D Convolution in $\ell_p$-norm Space

Li Zhang · Yan Zhong · Jianan Wang · Zhe Min · RujingWang · Liu Liu

Time-Reversal Provides Unsupervised Feedback to LLMs

Yerram Varun · Rahul Madhavan · Sravanti Addepalli · Arun Suggala · Karthikeyan Shanmugam · Prateek Jain

Cost-efficient Knowledge-based Question Answering with Large Language Models

Junnan Dong · Qinggang Zhang · Chuang Zhou · Hao Chen · Daochen Zha · Xiao Huang

Monomial Matrix Group Equivariant Neural Functional Networks

Hoang Tran · Thieu Vo · Tho Huu · An Nguyen The · Tan Nguyen

Explaining Datasets in Words: Statistical Models with Natural Language Parameters

Ruiqi Zhong · Heng Wang · Dan Klein · Jacob Steinhardt

RoPINN: Region Optimized Physics-Informed Neural Networks

Haixu Wu · Huakun Luo · Yuezhou Ma · Jianmin Wang · Mingsheng Long

DDK: Distilling Domain Knowledge for Efficient Large Language Models

Jiaheng Liu · Chenchen Zhang · Jinyang Guo · Yuanxing Zhang · Haoran Que · Ken Deng · ZhiqiBai zhiqi · Jie Liu · Ge Zhang · JiakaiWang · Yanan Wu · Congnan Liu · Jiamang Wang · Lin Qu · Wenbo Su · Bo Zheng

Monoculture in Matching Markets

Kenny Peng · Nikhil Garg

Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime

Lasse Vuursteen

Quantitative Convergences of Lie Group Momentum Optimizers

Lingkai Kong · Molei Tao

The Space Complexity of Approximating Logistic Loss

Gregory Dexter · Petros Drineas · Rajiv Khanna

WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks

Michael Wornow · Avanika Narayan · Ben Viggiano · Ishan Khare · Tathagat Verma · Tibor Thompson · Miguel Hernandez · Sudharsan Sundar · Chloe Trujillo · Krrish Chawla · Rongfei Lu · Justin Shen · Divya Nagaraj · Joshua Martinez · Vardhan Agrawal · Althea Hudson · Nigam Shah · Christopher Ré

Towards Exact Gradient-based Training on Analog In-memory Computing

Zhaoxian Wu · Tayfun Gokmen · Malte Rasch · Tianyi Chen

MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling

Weihao Yuan · Yisheng HE · Weichao Shen · Yuan Dong · Xiaodong Gu · Zilong Dong · Liefeng Bo · Qixing Huang

Color-Oriented Redundancy Reduction in Dataset Distillation

Bowen Yuan · Zijian Wang · Mahsa Baktashmotlagh · Yadan Luo · Zi Huang

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Poster

Poster Session 3 East

11:00 AM - 2:00 PM

475 Events in this session

Propensity Score Alignment of Unpaired Multimodal Data

Johnny Xi · Jana Osea · Zuheng Xu · Jason Hartford

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

Julius Hense · Mina Jamshidi Idaji · Oliver Eberle · Thomas Schnake · Jonas Dippel · Laure Ciernik · Oliver Buchstab · Andreas Mock · Frederick Klauschen · Klaus-Robert Müller

Exploring Molecular Pretraining Model at Scale

xiaohong ji · Zhen Wang · Zhifeng Gao · Hang Zheng · Linfeng Zhang · Guolin Ke · Weinan E

PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics

Wassim Gabriel · Omar Shouman · Eva Ayla Schröder · Florian Bößl · Mathias Wilhelm

A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types

Artur Szałata · Andrew Benz · Robrecht Cannoodt · Mauricio Cortes · Jason Fong · Sunil Kuppasani · Richard Lieberman · Tianyu Liu · Javier Mas-Rosario · Rico Meinl · Jalil Nourisa · Jared Tumiel · Tin M. Tunjic · Mengbo Wang · Noah Weber · Hongyu Zhao · Benedict Anchang · Fabian Theis · Malte Luecken · Daniel Burkhardt

Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning

Keying Kuang · Frances Dean · Jack B. Jedlicki · David Ouyang · Anthony Philippakis · David Sontag · Ahmed Alaa

Blind Image Restoration via Fast Diffusion Inversion

Hamadi Chihaoui · Abdelhak Lemkhenter · Paolo Favaro

Sharing Key Semantics in Transformer Makes Efficient Image Restoration

Bin Ren · Yawei Li · Jingyun Liang · Rakesh Ranjan · Mengyuan Liu · Rita Cucchiara · Luc V Gool · Ming-Hsuan Yang · Nicu Sebe

Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning

Brian Zhang · Zhuo Zhang

RGFN: Synthesizable Molecular Generation Using GFlowNets

Michał Koziarski · Andrei Rekesh · Dmytro Shevchuk · Almer van der Sloot · Piotr Gaiński · Yoshua Bengio · Chenghao Liu · Mike Tyers · Robert Batey

MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training

Bo Chen · Zhilei Bei · Xingyi Cheng · Pan Li · Jie Tang · Le Song

Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions

Rawal Khirodkar · Jyun-Ting Song · Jinkun Cao · Zhengyi Luo · Kris Kitani

A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions

Hoonhee Cho · Taewoo Kim · Yuhwan Jeong · Kuk-Jin Yoon

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding

Wufei Ma · Guofeng Zhang · Qihao Liu · Guanning Zeng · Adam Kortylewski · Yaoyao Liu · Alan Yuille

ScaleKD: Strong Vision Transformers Could Be Excellent Teachers

Jiawei Fan · Chao Li · Xiaolong Liu · Anbang Yao

Not Just Object, But State: Compositional Incremental Learning without Forgetting

Yanyi Zhang · Binglin Qiu · Qi Jia · Yu Liu · Ran He

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

Xiang Zhang · Bingxin Ke · Hayko Riemenschneider · Nando Metzger · Anton Obukhov · Markus Gross · Konrad Schindler · Christopher Schroers

Learning to Decouple the Lights for 3D Face Texture Modeling

Tianxin Huang · Zhenyu Zhang · Ying Tai · Gim Hee Lee

D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup

Joanna Waczynska · Piotr Borycki · Joanna Kaleta · Slawomir Tadeja · Przemysław Spurek

LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS

Zhiwen Fan · Kevin Wang · Kairun Wen · Zehao Zhu · Dejia Xu · Zhangyang "Atlas" Wang

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features

Letian Wang · Seung Wook Kim · Jiawei Yang · Cunjun Yu · Boris Ivanovic · Steven Waslander · Yue Wang · Sanja Fidler · Marco Pavone · Peter Karkus

End-to-End Ontology Learning with Large Language Models

Andy Lo · Albert Q. Jiang · Wenda Li · Mateja Jamnik

Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization

Ziyu Shan · Yujie Zhang · Yipeng Liu · YILING XU

ChatCam: Empowering Camera Control through Conversational AI

Xinhang Liu · Yu-Wing Tai · Chi-Keung Tang

bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction

Yehe Liu · Alexander Krull · Hector Basevi · Ales Leonardis · Michael Jenkins

Animate3D: Animating Any 3D Model with Multi-view Video Diffusion

Yanqin Jiang · Chaohui Yu · Chenjie Cao · Fan Wang · Weiming Hu · Jin Gao

CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection

Jisong Kim · Minjae Seong · Jun Won Choi

Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers

Chau Pham · Bryan Plummer

HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting

Qiankun Gao · Jiarui Meng · Chengxiang Wen · Jie Chen · Jian Zhang

Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars

Xuan Huang · Hanhui Li · Wanquan Liu · Xiaodan Liang · Yiqiang Yan · Yuhao Cheng · CHENQIANG GAO

Causal Context Adjustment Loss for Learned Image Compression

Minghao Han · Shiyin Jiang · Shengxi Li · Xin Deng · Mai Xu · Ce Zhu · Shuhang Gu

Learning Transferable Features for Implicit Neural Representations

Kushal Kardam Vyas · Imtiaz Humayun · Aniket Dashpute · Richard Baraniuk · Ashok Veeraraghavan · Guha Balakrishnan

Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification

Rui Li · Tingting Ren · Jie Wen · Jinxing Li

Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis

Jianning Deng · Kartic Subr · Hakan Bilen

PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging

Xin Cai · Zhiyuan You · Hailong Zhang · Jinwei Gu · Wentao Liu · Tianfan Xue

DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection

Jia S Lim · Zhuoxiao Chen · Zhi Chen · Mahsa Baktashmotlagh · Xin Yu · Zi Huang · Yadan Luo

Dual-Diffusion for Binocular 3D Human Pose Estimation

Xiaoyue Wan · Zhuo Chen · Bingzhi Duan · Xu Zhao

When does perceptual alignment benefit vision representations?

Shobhita Sundaram · Stephanie Fu · Lukas Muttenthaler · Netanel Tamir · Lucy Chai · Simon Kornblith · Trevor Darrell · Phillip Isola

GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting

Umangi Jain · Ashkan Mirzaei · Igor Gilitschenski

Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation

István Sárándi · Gerard Pons-Moll

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Jiayu Wang · Yifei Ming · Zhenmei Shi · Vibhav Vineet · Xin Wang · Sharon Li · Neel Joshi

SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection

Yuxuan Li · Xiang Li · Weijie Li · Qibin Hou · Li Liu · Ming-Ming Cheng · Jian Yang

SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition

Feng Lu · Xinyao Zhang · Canming Ye · Shuting Dong · Lijun Zhang · Xiangyuan Lan · Chun Yuan

Multistable Shape from Shading Emerges from Patch Diffusion

Xinran Han · Todd Zickler · Ko Nishino

A Unified Framework for 3D Scene Understanding

Wei Xu · Chunsheng Shi · Sifan Tu · Xin Zhou · Dingkang Liang · Xiang Bai

GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation

Chubin Zhang · Hongliang Song · Yi Wei · Chen Yu · Jiwen Lu · Yansong Tang

R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction

Ruyi Zha · Tao Jun Lin · Yuanhao Cai · Jiwen Cao · Yanhao Zhang · Hongdong Li

FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion

Xing Han · Huy Nguyen · Carl Harris · Nhat Ho · Suchi Saria

Toward Approaches to Scalability in 3D Human Pose Estimation

Jun-Hui Kim · Seong-Whan Lee

Learning to Edit Visual Programs with Self-Supervision

R. Kenny Jones · Renhao Zhang · Aditya Ganeshan · Daniel Ritchie

Prune and Repaint: Content-Aware Image Retargeting for any Ratio

Feihong Shen · Chao Li · Yifeng Geng · Yongjian Deng · Hao Chen

Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers

Dong Hoon Lee · Seunghoon Hong

Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba

Haoye Dong · Aviral Chharia · Wenbo Gou · Francisco Vicente Carrasco · Fernando D De la Torre

LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate

Anthony Fuller · Daniel Kyrollos · Yousef Yassin · James Green

DiffSF: Diffusion Models for Scene Flow Estimation

Yushan Zhang · Bastian Wandt · Maria Magnusson · Michael Felsberg

Rad-NeRF: Ray-decoupled Training of Neural Radiance Field

Lidong Guo · Xuefei Ning · Yonggan Fu · Tianchen Zhao · Zhuoliang Kang · Jincheng Yu · Yingyan (Celine) Lin · Yu Wang

FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training

Ruihong Yin · Vladimir Yugay · Yue Li · Sezer Karaoglu · Theo Gevers

UDON: Universal Dynamic Online distillatioN for generic image representations

Nikolaos-Antonios Ypsilantis · Kaifeng Chen · Andre Araujo · Ondrej Chum

Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis

Zhiyuan Min · Yawei Luo · Jianwen Sun · Yi Yang

ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation

Cédric ROMMEL · Victor Letzelter · Nermin Samet · Renaud Marlet · Matthieu Cord · Patrick Perez · Eduardo Valle

Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization

Sanghyeob Song · Jaihyun Lew · Hyemi Jang · Sungroh Yoon

TrAct: Making First-layer Pre-Activations Trainable

Felix Petersen · Christian Borgelt · Stefano Ermon

Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation

Xin Yuan · Michael Maire

ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

Luca Eyring · Shyamgopal Karthik · Karsten Roth · Alexey Dosovitskiy · Zeynep Akata

Autoregressive Image Generation without Vector Quantization

Tianhong Li · Yonglong Tian · He Li · Mingyang Deng · Kaiming He

Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference

Senmao Li · Taihang Hu · Joost van de Weijer · Fahad Shahbaz Khan · Tao Liu · Linxuan Li · Shiqi Yang · Yaxing Wang · Ming-Ming Cheng · jian Yang

Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models

Ziyi Wu · Yulia Rubanova · Rishabh Kabra · Drew Hudson · Igor Gilitschenski · Yusuf Aytar · Sjoerd van Steenkiste · Kelsey Allen · Thomas Kipf

HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation

Bocheng · Yuhang Ma · wuliebucha · Shanyuan Liu · Ao Ma · Xiaoyu Wu · Dawei Leng · Yuhui Yin

Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models

Cong Wan · Yuhang He · Xiang Song · Yihong Gong

PromptFix: You Prompt and We Fix the Photo

yongsheng yu · Ziyun Zeng · Hang Hua · Jianlong Fu · Jiebo Luo

NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation

Yifei Li · Yuchen Sun · Pingchuan Ma · Eftychios Sifakis · Tao Du · Bo Zhu · Wojciech Matusik

Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting

Ruiqi Li · Yiu-ming Cheung

CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics

Jiawei Gao · Ziqin Wang · Zeqi Xiao · Jingbo Wang · Tai WANG · Jinkun Cao · Xiaolin Hu · Si Liu · Jifeng Dai · Jiangmiao Pang

Model Sensitivity Aware Continual Learning

Zhenyi Wang · Heng Huang

Learning Segmentation from Point Trajectories

Laurynas Karazija · Iro Laina · Christian Rupprecht · Andrea Vedaldi

A Simple Image Segmentation Framework via In-Context Examples

Yang Liu · Chenchen Jing · Hengtao Li · Muzhi Zhu · Hao Chen · Xinlong Wang · Chunhua Shen

Geometric Exploitation for Indoor Panoramic Semantic Segmentation

Duc Cao Dinh · Seok Joon Kim · Kyusung Cho

UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior

Yao Wu · Mingwei Xing · Yachao Zhang · Xiaotong Luo · Yuan Xie · Yanyun Qu

MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps

Yating Xu · Chen Li · Gim Hee Lee

Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models

Yifan Zhang · Junhui Hou

Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation

sagi eppel · Jolina Li · Manuel Drehwald · Alan Aspuru-Guzik

Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model

Mingyang Yi · Aoxue Li · Yi Xin · Zhenguo Li

LG-VQ: Language-Guided Codebook Learning

Liang Guotao · Baoquan Zhang · Yaowei Wang · Yunming Ye · Xutao Li · Wanghuaibin · Luo Chuyao · kolaye · luolinfeng

HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation

Zhenzhi Wang · Yixuan Li · Yanhong Zeng · Youqing Fang · Yuwei Guo · Wenran Liu · Jing Tan · Kai Chen · Tianfan Xue · Bo Dai · Dahua Lin

CV-VAE: A Compatible Video VAE for Latent Generative Video Models

Sijie Zhao · Yong Zhang · Xiaodong Cun · Shaoshu Yang · Muyao Niu · Xiaoyu Li · Wenbo HU · Ying Shan

HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness

Zihui (Sherry) Xue · Romy Luo · Changan Chen · Kristen Grauman

SF-V: Single Forward Video Generation Model

Zhixing Zhang · Yanyu Li · Yushu Wu · yanwu xu · Anil Kag · Ivan Skorokhodov · Willi Menapace · Aliaksandr Siarohin · Junli Cao · Dimitris Metaxas · Sergey Tulyakov · Jian Ren

Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models

HANWEN LIANG · Yuyang Yin · Dejia Xu · hanxue liang · Zhangyang "Atlas" Wang · Konstantinos N Plataniotis · Yao Zhao · Yunchao Wei

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference

Zheng Zhan · Yushu Wu · Yifan Gong · Zichong Meng · Zhenglun Kong · Changdi Yang · Geng Yuan · Pu Zhao · Wei Niu · Yanzhi Wang

MotionCraft: Physics-Based Zero-Shot Video Generation

Antonio Montanaro · Luca Savant Aira · Emanuele Aiello · Diego Valsesia · Enrico Magli

ReVideo: Remake a Video with Motion and Content Control

Chong Mou · Mingdeng Cao · Xintao Wang · Zhaoyang Zhang · Ying Shan · Jian Zhang

TAPVid-3D: A Benchmark for Tracking Any Point in 3D

Skanda Koppula · Ignacio Rocco · Yi Yang · joseph heyward · Joao Carreira · Andrew Zisserman · Gabriel Brostow · Carl Doersch

CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

Paritosh Parmar · Eric Peh · Ruirui Chen · Ting En Lam · Yuhan Chen · Elston Tan · Basura Fernando

OPEL: Optimal Transport Guided ProcedurE Learning

Sayeed Shafayet Chowdhury · Soumyadeep Chandra · Kaushik Roy

Biomedical Visual Instruction Tuning with Clinician Preference Alignment

Hejie Cui · Lingjun Mao · Xin Liang · Jieyu Zhang · Hui Ren · Quanzheng Li · Xiang Li · Carl Yang

Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning

Minghui Chen · Meirui Jiang · Xin Zhang · DOU QI · Zehua Wang · Xiaoxiao Li

Data curation via joint example selection further accelerates multimodal learning

Talfan Evans · Nikhil Parthasarathy · Hamza Merzic · Olivier Henaff

Intrinsic Self-Supervision for Data Quality Audits

Fabian Gröger · Simone Lionetti · Philippe Gottfrois · Alvaro Gonzalez-Jimenez · Ludovic Amruthalingam · Matthew Groh · Alexander Navarini · Marc Pouly

IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation

Fan Lin · Shuyi Xie · Yong Dai · Wenlin Yao · TianJiao Lang · Yu Zhang

DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers

Chandramouli Shama Sastry · Sri Harsha Dumpala · Sageev Oore

Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale

Tianyue Ou · Frank F. Xu · Aman Madaan · Jiarui Liu · Robert Lo · Abishek Sridhar · Sudipta Sengupta · Dan Roth · Graham Neubig · Shuyan Zhou

Right this way: Can VLMs Guide Us to See More to Answer Questions?

Li Liu · Diji Yang · Sijia Zhong · Kalyana Suma Sree Tholeti · Lei Ding · Yi Zhang · Leilani Gilpin

Elucidating the Design Space of Dataset Condensation

Shitong Shao · Zikai Zhou · Huanran Chen · Zhiqiang Shen

Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem

Mincheol Chang · Siyeong Lee · Jinkyu Kim · Namil Kim

Offline Behavior Distillation

Shiye Lei · Sen Zhang · Dacheng Tao

EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning

Pragya Singh · Ritvik Budhiraja · Ankush Gupta · Anshul Goswami · Mohan Kumar · Pushpendra Singh

On the Inductive Bias of Stacking Towards Improving Reasoning

Nikunj Saunshi · Stefani Karp · Shankar Krishnan · Sobhan Miryoosefi · Sashank Jakkam Reddi · Sanjiv Kumar

BOLD: Boolean Logic Deep Learning

Van Minh NGUYEN · Cristian Ocampo-Blandon · Aymen Askri · Louis Leconte · Ba-Hien Tran

Simulation-Free Training of Neural ODEs on Paired Data

Semin Kim · Jaehoon Yoo · Jinwoo Kim · Yeonwoo Cha · Saehoon Kim · Seunghoon Hong

Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning

Chia-Hsiang Kao · Bharath Hariharan

Adaptive Depth Networks with Skippable Sub-Paths

Woochul Kang · HYUNGSEOP LEE

Stepping on the Edge: Curvature Aware Learning Rate Tuners

Vincent Roulet · Atish Agarwala · Jean-Bastien Grill · Grzegorz Swirszcz · Mathieu Blondel · Fabian Pedregosa

Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming

Lorenzo Orecchia · Jiawei Hu · Xue He · Wang Mark · Xulei Yang · Min Wu · Xue Geng

Alias-Free Mamba Neural Operator

Jianwei Zheng · Wei Li · Ni Xu · Junwei Zhu · XiaoxuLin · Xiaoqin Zhang

Learn To be Efficient: Build Structured Sparsity in Large Language Models

Haizhong Zheng · Xiaoyan Bai · Xueshen Liu · Zhuoqing Morley Mao · Beidi Chen · Fan Lai · Atul Prakash

MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search

Yuming Zhang · Jun Hsieh · Xin Li · Ming-Ching Chang · Chun-Chieh Lee · Kuo-Chin Fan

Compressing Large Language Models using Low Rank and Low Precision Decomposition

Rajarshi Saha · Naomi Sagan · Varun Srivastava · Andrea Goldsmith · Mert Pilanci

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs

Haokun Lin · Haobo Xu · Yichen WU · Jingzhi Cui · Yingtao Zhang · Linzhan Mou · Linqi Song · Zhenan Sun · Ying Wei

PLIP: Language-Image Pre-training for Person Representation Learning

Jialong Zuo · Jiahao Hong · Feng Zhang · Changqian Yu · Hanyu Zhou · Changxin Gao · Nong Sang · Jingdong Wang

Discrete Dictionary-based Decomposition Layer for Structured Representation Learning

Taewon Park · Hyun-Chul Kim · Minho Lee

Learning Low-Rank Feature for Thorax Disease Classification

Yancheng Wang · Rajeev Goel · Utkarsh Nath · Alvin Silva · Teresa Wu · Yingzhen Yang

Linguistic Collapse: Neural Collapse in (Large) Language Models

Robert Wu · Vardan Papyan

Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery

Yue Yu · Ning Liu · Fei Lu · Tian Gao · Siavash Jafarzadeh · Stewart A Silling

In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness

Liam Collins · Advait Parulekar · Aryan Mokhtari · Sujay Sanghavi · Sanjay Shakkottai

Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching

Fernando Moreno-Pino · Alvaro Arroyo · Harrison Waldon · Xiaowen Dong · Alvaro Cartea

SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

Robert Csordas · Piotr Piękos · Kazuki Irie · Jürgen Schmidhuber

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Coleman Hooper · Sehoon Kim · Hiva Mohammadzadeh · Michael Mahoney · Sophia Shao · Kurt Keutzer · Amir Gholami

Scaling White-Box Transformers for Vision

Jinrui Yang · Xianhang Li · Druv Pai · Yuyin Zhou · Yi Ma · Yaodong Yu · Cihang Xie

Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery

Yongwei Nie · Mingxian Fan · Chengjiang Long · Qing Zhang · Jian Zhu · Xuemiao Xu

Convergence Analysis of Split Federated Learning on Heterogeneous Data

Pengchao Han · Chao Huang · Geng Tian · Ming Tang · Xin Liu

Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge

Fang Dong · Mengyi Chen · Jixian Zhou · Yubin Shi · Yixuan Chen · Mingzhi Dong · Yujiang Wang · Dongsheng Li · Xiaochen Yang · Rui Zhu · Robert Dick · Qin Lv · Fan Yang · Tun Lu · Ning Gu · Li Shang

Neural Experts: Mixture of Experts for Implicit Neural Representations

Yizhak Ben-Shabat · Chamin Hewa Koneputugodage · Sameera Ramasinghe · Stephen Gould

Neural Concept Binder

Wolfgang Stammer · Antonia Wüst · David Steinmann · Kristian Kersting

Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers

Fatemeh Nourilenjan Nokabadi · Christian Gagné · Jean-Francois Lalonde

ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks

Yuezhu Xu · S Sivaranjani

HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning

Momin Ahmad Khan · Yasra Chandio · Fatima Anwar

AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer

Yitao Xu · Tong Zhang · Sabine Süsstrunk

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms

Oryan Yehezkel · Alon Zolfi · Amit Baras · Yuval Elovici · Asaf Shabtai

On the Scalability of Certified Adversarial Robustness with Generated Data

Thomas Altstidl · David Dobre · Arthur Kosmala · Bjoern Eskofier · Gauthier Gidel · Leo Schwinn

ProTransformer: Robustify Transformers via Plug-and-Play Paradigm

Zhichao Hou · Weizhi Gao · Yuchen Shen · Feiyi Wang · Xiaorui Liu

Energy-based Hopfield Boosting for Out-of-Distribution Detection

Claus Hofmann · Simon Schmid · Bernhard Lehner · Daniel Klotz · Sepp Hochreiter

Learning and Transferring Sparse Contextual Bigrams with Linear Transformers

Yunwei Ren · Zixuan Wang · Jason Lee

How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective

Qiaozhe Zhang · Ruijie Zhang · Jun Sun · Yingzhuang Liu

No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations

Walter Simoncini · Andrei Bursuc · Spyridon Gidaris · Yuki Asano

Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT

Thomas Yerxa · Jenelle Feather · Eero Simoncelli · SueYeon Chung

Learning from Pattern Completion: Self-supervised Controllable Generation

Zhiqiang Chen · Guofan Fan · Jinying Gao · Lei Ma · Bo Lei · Tiejun Huang · Shan Yu

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Fanxu Meng · Zhaohui Wang · Muhan Zhang

RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness

Enyi Jiang · Gagandeep Singh

A theoretical design of concept sets: improving the predictability of concept bottleneck models

Max Ruiz Luyten · Mihaela van der Schaar

NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes

Hao-Lun Sun · Lei Hsiung · Nandhini Chandramoorthy · Pin-Yu Chen · Tsung-Yi Ho

Wormhole Loss for Partial Shape Matching

Amit Bracha · Thomas Dagès · Ron Kimmel

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective

Yeonsung Jung · Jaeyun Song · June Yong Yang · Jin-Hwa Kim · Sung-Yub Kim · Eunho Yang

Improving Adaptivity via Over-Parameterization in Sequence Models

Yicheng Li · Qian Lin

The Prevalence of Neural Collapse in Neural Multivariate Regression

George Andriopoulos · Zixuan Dong · Li Guo · Zifan Zhao · Keith Ross

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs

Jingtong Su · Julia Kempe · Karen Ullrich

Optimal deep learning of holomorphic operators between Banach spaces

Ben Adcock · Nick Dexter · Sebastian Moraga Scheuermann

SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining

Andi Han · Jiaxiang Li · Wei Huang · Mingyi Hong · Akiko Takeda · Pratik Kumar Jawanpuria · Bamdev Mishra

Cross-model Control: Improving Multiple Large Language Models in One-time Training

Jiayi Wu · Hao Sun · Hengyi Cai · Lixin Su · Shuaiqiang Wang · Dawei Yin · Xiang Li · Ming Gao

Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints

Jay Bear · Adam Prugel-Bennett · Jonathon Hare

Sparse High Rank Adapters

Kartikeya Bhardwaj · Nilesh Pandey · Sweta Priyadarshi · Viswanath Ganapathy · Shreya Kadambi · Rafael Esteves · Shubhankar Borse · Paul Whatmough · Risheek Garrepalli · Mart van Baalen · Harris Teague · Markus Nagel

Instruction Tuning With Loss Over Instructions

Zhengxiang Shi · Adam Yang · Bin Wu · Laurence Aitchison · Emine Yilmaz · Aldo Lipani

Adversarial Schrödinger Bridge Matching

Nikita Gushchin · Daniil Selikhanovych · Sergei Kholkin · Evgeny Burnaev · Aleksandr Korotin

Transcendence: Generative Models Can Outperform The Experts That Train Them

Edwin Zhang · Vincent Zhu · Naomi Saphra · Anat Kleiman · Benjamin Edelman · Milind Tambe · Sham Kakade · Eran Malach

InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint

Zhenzhi Wang · Jingbo Wang · Yixuan Li · Dahua Lin · Bo Dai

Graph Diffusion Policy Optimization

Yijing Liu · Chao Du · Tianyu Pang · Chongxuan LI · Min Lin · Wei Chen

Score Distillation via Reparametrized DDIM

Artem Lukoianov · Haitz Sáez de Ocáriz Borde · Kristjan Greenewald · Vitor Guizilini · Timur Bagautdinov · Vincent Sitzmann · Justin Solomon

Equivariant Neural Diffusion for Molecule Generation

François Cornet · Grigory Bartosh · Mikkel Schmidt · Christian Andersson Naesseth

Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering

Ido Sobol · Chenfeng Xu · Or Litany

IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model

Xiaoxuan Gong · Jie Ma

Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention

Avinash Kori · Francesco Locatello · Ainkaran Santhirasekaram · Francesca Toni · Ben Glocker · Fabio De Sousa Ribeiro

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Chunlin Tian · Zhan Shi · Zhijiang Guo · Li Li · Cheng-Zhong Xu

Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems

Lingjiao Chen · Jared Quincy Davis · Boris Hanin · Peter Bailis · Ion Stoica · Matei A Zaharia · James Zou

Physically Compatible 3D Object Modeling from a Single Image

Minghao Guo · Bohan Wang · Pingchuan Ma · Tianyuan Zhang · Crystal Owens · Chuang Gan · Josh Tenenbaum · Kaiming He · Wojciech Matusik

Harmonizing Visual Text Comprehension and Generation

Zhen Zhao · Jingqun Tang · Binghong Wu · Chunhui Lin · Shu Wei · Hao Liu · Xin Tan · zhizhong zhang · Can Huang · Yuan Xie

Metric Flow Matching for Smooth Interpolations on the Data Manifold

Kacper Kapusniak · Peter Potaptchik · Teodora Reu · Leo Zhang · Alexander Tong · Michael Bronstein · Joey Bose · Francesco Di Giovanni

DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform

Alexander Denker · Francisco Vargas · Shreyas Padhy · Kieran Didi · Simon Mathis · Riccardo Barbano · Vincent Dutordoir · Emile Mathieu · Urszula Julia Komorowska · Pietro Lió

Interpreting the Weight Space of Customized Diffusion Models

Amil Dravid · Yossi Gandelsman · Kuan-Chieh Wang · Rameen Abdal · Gordon Wetzstein · Alexei Efros · Kfir Aberman

Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization

Siyi Gu · Minkai Xu · Alexander Powers · Weili Nie · Tomas Geffner · Karsten Kreis · Jure Leskovec · Arash Vahdat · Stefano Ermon

Constrained Synthesis with Projected Diffusion Models

Jacob K Christopher · Stephen Baek · Nando Fioretto

Provable and Efficient Dataset Distillation for Kernel Ridge Regression

Yilan Chen · Wei Huang · Lily Weng

Simple and Effective Masked Diffusion Language Models

Subham Sahoo · Marianne Arriola · Yair Schiff · Aaron Gokaslan · Edgar Marroquin · Justin Chiu · Alexander Rush · Volodymyr Kuleshov

TFG: Unified Training-Free Guidance for Diffusion Models

Haotian Ye · Haowei Lin · Jiaqi Han · Minkai Xu · Sheng Liu · Yitao Liang · Jianzhu Ma · James Zou · Stefano Ermon

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

DONGZHI JIANG · Guanglu Song · Xiaoshi Wu · Renrui Zhang · Dazhong Shen · ZHUOFAN ZONG · Yu Liu · Hongsheng Li

DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models

Zhengyang Yu · Zhaoyuan Yang · Jing Zhang

Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models

Sangwoong Yoon · Himchan Hwang · Dohyun Kwon · Yung-Kyun Noh · Frank Park

Stochastic Optimal Control for Diffusion Bridges in Function Spaces

Byoungwoo Park · Jungwon Choi · Sungbin Lim · Juho Lee

Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations

Nikil Selvam · Amil Merchant · Stefano Ermon

Diffusion Models are Certifiably Robust Classifiers

Huanran Chen · Yinpeng Dong · Shitong Shao · Hao Zhongkai · Xiao Yang · Hang Su · Jun Zhu

Towards Global Optimal Visual In-Context Learning Prompt Selection

Chengming Xu · Chen Liu · Yikai Wang · Yuan Yao · Yanwei Fu

Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis

Deepak Sridhar · Abhishek Peri · Rohith Rachala · Nuno Vasconcelos

Fast samplers for Inverse Problems in Iterative Refinement models

Kushagra Pandey · Ruihan Yang · Stephan Mandt

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models

Seyedmorteza Sadat · Jakob Buhmann · Derek Bradley · Otmar Hilliges · Romann M Weber

Improving the Training of Rectified Flows

Sangyun Lee · Zinan Lin · Giulia Fanti

Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment

Yiheng Li · Heyang Jiang · Akio Kodaira · Masayoshi TOMIZUKA · Kurt Keutzer · Chenfeng Xu

AdjointDEIS: Efficient Gradients for Diffusion Models

Zander W. Blasingame · Chen Liu

Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models

Ruofeng Yang · Zhijie Wang · Bo Jiang · Shuai Li

Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy

Hancheng Ye · Jiakang Yuan · Renqiu Xia · Xiangchao Yan · Tao Chen · Junchi Yan · Botian Shi · Bo Zhang

Discrete-state Continuous-time Diffusion for Graph Generation

Zhe Xu · Ruizhong Qiu · Yuzhong Chen · Huiyuan Chen · Xiran Fan · Menghai Pan · Zhichen Zeng · Mahashweta Das · Hanghang Tong

MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts

Jie Zhu · Yixiong Chen · Mingyu Ding · Ping Luo · Leye Wang · Jingdong Wang

Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation

Lingxiao Zhao · Xueying Ding · Leman Akoglu

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Boyuan Chen · Diego Martí Monsó · Yilun Du · Max Simchowitz · Russ Tedrake · Vincent Sitzmann

On the Noise Robustness of In-Context Learning for Text Generation

hongfu gao · Feipeng Zhang · Wenyu Jiang · Jun Shu · Feng Zheng · Hongxin Wei

BERTs are Generative In-Context Learners

David Samuel

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

Aniket Didolkar · Anirudh Goyal · Nan Rosemary Ke · Siyuan Guo · Michal Valko · Timothy Lillicrap · Danilo Jimenez Rezende · Yoshua Bengio · Michael Mozer · Sanjeev Arora

Universal In-Context Approximation By Prompting Fully Recurrent Models

Aleksandar Petrov · Tom Lamb · Alasdair Paren · Philip Torr · Adel Bibi

Alignment at Pre-training! Towards Native Alignment for Arabic LLMs

Juhao Liang · Zhenyang Cai · Jianqing Zhu · Huang Huang · Kewei Zong · Bang An · Mosen Alharthi · Juncai He · Lian Zhang · Haizhou Li · Benyou Wang · Jinchao Xu

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Jinjie Ni · Fuzhao Xue · Xiang Yue · Yuntian Deng · Mahir Shah · Kabir Jain · Graham Neubig · Yang You

Questioning the Survey Responses of Large Language Models

Ricardo Dominguez-Olmedo · Moritz Hardt · Celestine Mendler-Dünner

Cascade Speculative Drafting for Even Faster LLM Inference

Ziyi Chen · Xiaocong Yang · Jiacheng Lin · Chenkai Sun · Kevin Chang · Jie Huang

Learning Distributions on Manifolds with Free-Form Flows

Peter Sorrenson · Felix Draxler · Armand Rousselot · Sander Hummerich · Ullrich Köthe

Learning Goal-Conditioned Representations for Language Reward Models

Vaskar Nath · Dylan Slack · Jeff Da · Yuntao Ma · Hugh Zhang · Spencer Whitehead · Sean Hendryx

Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought

Qiguang Chen · Libo Qin · Jiaqi Wang · Jingxuan Zhou · Wanxiang Che

AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback

Jian Guan · Wei Wu · zujie wen · Peng Xu · Hongning Wang · Minlie Huang

Learning Better Representations From Less Data For Propositional Satisfiability

Mohamed Ghanem · Frederik Schmitt · Julian Siber · Bernd Finkbeiner

Improving Deep Learning Optimization through Constrained Parameter Regularization

Jörg Franke · Michael Hefenbrock · Gregor Koehler · Frank Hutter

Chain of Agents: Large Language Models Collaborating on Long-Context Tasks

Yusen Zhang · Ruoxi Sun · Yanfei Chen · Tomas Pfister · Rui Zhang · Sercan Arik

Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Yuxiao Qu · Tianjun Zhang · Naman Garg · Aviral Kumar

Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models

Wenshan Wu · Shaoguang Mao · Yadong Zhang · Yan Xia · Li Dong · Lei Cui · Furu Wei

Iterative Reasoning Preference Optimization

Richard Yuanzhe Pang · Weizhe Yuan · He He · Kyunghyun Cho · Sainbayar Sukhbaatar · Jason Weston

TableRAG: Million-Token Table Understanding with Language Models

Si-An Chen · Lesly Miculicich · Julian Eisenschlos · Zifeng Wang · Zilong Wang · Yanfei Chen · YASUHISA FUJII · Hsuan-Tien Lin · Chen-Yu Lee · Tomas Pfister

TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools

Avi Caciularu · Alon Jacovi · Eyal Ben-David · Sasha Goldshtein · Tal Schuster · Jonathan Herzig · Gal Elidan · Amir Globerson

Boosting Text-to-Video Generative Model with MLLMs Feedback

Xun Wu · Shaohan Huang · Guolong Wang · Jing Xiong · Furu Wei

Generative Forests

Richard Nock · Mathieu Guillame-Bert

Can Language Models Learn to Skip Steps?

Tengxiao Liu · Qipeng Guo · Xiangkun Hu · Cheng Jiayang · Yue Zhang · Xipeng Qiu · Zheng Zhang

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models

Xin Li · Weize Chen · Qizhi Chu · Haopeng Li · Zhaojun Sun · Ran Li · Chen Qian · Yiwei Wei · Chuan Shi · Zhiyuan Liu · Maosong Sun · Cheng Yang

GFT: Graph Foundation Model with Transferable Tree Vocabulary

Zehong Wang · Zheyuan Zhang · Nitesh Chawla · Chuxu Zhang · Yanfang Ye

Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures

YADONG SUN · Xiaofeng Cao · Yu Wang · Wei Ye · Jingcai Guo · Qing Guo

Towards Dynamic Message Passing on Graphs

Junshu Sun · Chenxue Yang · Xiangyang Ji · Qingming Huang · Shuhui Wang

Graph neural networks and non-commuting operators

Mauricio Velasco · Kaiying O'Hare · Bernardo Rychtenberg · Soledad Villar

Energy-based Epistemic Uncertainty for Graph Neural Networks

Dominik Fuchsgruber · Tom Wollschläger · Stephan Günnemann

Dissecting the Failure of Invariant Learning on Graphs

Qixun Wang · Yifei Wang · Yisen Wang · Xianghua Ying

Enhancing Chess Reinforcement Learning with Graph Representation

Tomas Rigaux · Hisashi Kashima

Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach

Chaoxi Niu · Guansong Pang · Ling Chen · Bing Liu

What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks

Yilun Zheng · Sitao Luan · Lihui Chen

GRANOLA: Adaptive Normalization for Graph Neural Networks

Moshe Eliasof · Beatrice Bevilacqua · Carola-Bibiane Schönlieb · Haggai Maron

Learning on Large Graphs using Intersecting Communities

Ben Finkelshtein · Ismail Ceylan · Michael Bronstein · Ron Levie

Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level

Runlin Lei · Yuwei Hu · Yuchen Ren · Zhewei Wei

Deep Graph Mating

Yongcheng Jing · Seok-Hee Hong · Dacheng Tao

Unifying Generation and Prediction on Graphs with Latent Graph Diffusion

Cai Zhou · Xiyuan Wang · Muhan Zhang

Distributed-Order Fractional Graph Operating Network

Kai Zhao · Xuhao Li · Qiyu Kang · Feng Ji · Qinxu Ding · Yanan Zhao · Wenfei Liang · Wee Peng Tay

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning

Lu Bai · Zhuo Xu · Lixin Cui · Ming Li · Yue Wang · Edwin Hancock

Pure Message Passing Can Estimate Common Neighbor for Link Prediction

Kaiwen Dong · Zhichun Guo · Nitesh Chawla

Boosting Graph Pooling with Persistent Homology

Chaolong Ying · Xinjian Zhao · Tianshu Yu

Deep Equilibrium Algorithmic Reasoning

Dobrik Georgiev · Joseph Wilson · Davide Buffelli · Pietro Lió

Even Sparser Graph Transformers

Hamed Shirzad · Honghao Lin · Balaji Venkatachalam · Ameya Velingker · David Woodruff · Danica J. Sutherland

A Foundation Model for Zero-shot Logical Query Reasoning

Michael Galkin · Jincheng Zhou · Bruno Ribeiro · Jian Tang · Zhaocheng Zhu

Graph Coarsening with Message-Passing Guarantees

Antonin Joly · Nicolas Keriven

Supra-Laplacian Encoding for Transformer on Dynamic Graphs

Yannis Karmim · Marc Lafon · Raphael Fournier-S'niehotta · Nicolas THOME

Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters

Ya-Wei Eileen Lin · Ronen Talmon · Ron Levie

VideoGUI: A Benchmark for GUI Automation from Instructional Videos

Kevin Qinghong Lin · Linjie Li · Difei Gao · Qinchen WU · Mingyi Yan · Zhengyuan Yang · Lijuan Wang · Mike Zheng Shou

Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary

Zhuoyan Li · Ming Yin

Confidence Regulation Neurons in Language Models

Alessandro Stolfo · Ben Wu · Wes Gurnee · Yonatan Belinkov · Xingyi Song · Mrinmaya Sachan · Neel Nanda

Compact Proofs of Model Performance via Mechanistic Interpretability

Jason Gross · Rajashree Agrawal · Thomas Kwa · Euan Ong · Chun Hei Yip · Alex Gibson · Soufiane Noubir · Lawrence Chan

CoSy: Evaluating Textual Explanations of Neurons

Laura Kopf · Philine L Bommer · Anna Hedström · Sebastian Lapuschkin · Marina Höhne · Kirill Bykov

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable

Shreyash Arya · Sukrut Rao · Moritz Böhle · Bernt Schiele

Explanations that reveal all through the deﬁnition of encoding

Aahlad Manas Puli · Nhi Nguyen · Rajesh Ranganath

Causal Dependence Plots

Joshua Loftus · Lucius Bynum · Sakina Hansen

FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors

Shuai Liu · Boyang Li · Zhiyu Fang · Mingyue Cui · Kai Huang

Spectral Editing of Activations for Large Language Model Alignment

Yifu QIU · Zheng Zhao · Yftah Ziser · Anna Korhonen · Edoardo Maria Ponti · Shay Cohen

WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia

Yufang Hou · Alessandra Pascale · Javier Carnerero-Cano · Tigran Tchrakian · Radu Marinescu · Elizabeth Daly · Inkit Padhi · Prasanna Sattigeri

IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering

Ruosen Li · Ruochen Li · Barry Wang · Xinya Du

Reranking Laws for Language Generation: A Communication-Theoretic Perspective

António Farinhas · Haau-Sing Li · André Martins

The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More

Ouail Kitouni · Niklas S Nolte · Adina Williams · Michael Rabbat · Diane Bouchacourt · Mark Ibrahim

How do Large Language Models Handle Multilingualism?

Yiran Zhao · Wenxuan Zhang · Guizhen Chen · Kenji Kawaguchi · Lidong Bing

PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression

Vladimir Malinovskii · Denis Mazur · Ivan Ilin · Denis Kuznedelev · Konstantin Burlachenko · Kai Yi · Dan Alistarh · Peter Richtarik

HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction

Qianyue Hao · Jingyang Fan · Fengli Xu · Jian Yuan · Yong Li

LLM Evaluators Recognize and Favor Their Own Generations

Arjun Panickssery · Samuel Bowman · Shi Feng

ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions

Etienne Vareille · Michele Linardi · Ioannis Tsamardinos · Vassilis Christophides

Analysing the Generalisation and Reliability of Steering Vectors

Daniel Tan · David Chanin · Aengus Lynch · Brooks Paige · Dimitrios Kanoulas · Adrià Garriga-Alonso · Robert Kirk

Interpretable Generalized Additive Models for Datasets with Missing Values

Hayden McTavish · Jon Donnelly · Margo Seltzer · Cynthia Rudin

Geometric-Averaged Preference Optimization for Soft Preference Labels

Hiroki Furuta · Kuang-Huei Lee · Shixiang (Shane) Gu · Yutaka Matsuo · Aleksandra Faust · Heiga Zen · Izzeddin Gur

Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast

Chufan Shi · Cheng Yang · Xinyu Zhu · Jiahao Wang · Taiqiang Wu · Siheng Li · Deng Cai · Yujiu Yang · Yu Meng

Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass

Ethan Shen · Alan Fan · Sarah Pratt · Jae Sung Park · Matthew Wallingford · Sham Kakade · Ari Holtzman · Ranjay Krishna · Ali Farhadi · Aditya Kusupati

AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data

Zifan Song · Yudong Wang · Wenwei Zhang · Kuikun Liu · Chengqi Lyu · Demin Song · Qipeng Guo · Hang Yan · Dahua Lin · Kai Chen · Cairong Zhao

Discovering Preference Optimization Algorithms with and for Large Language Models

Chris Lu · Samuel Holt · Claudio Fanconi · Alex Chan · Jakob Foerster · Mihaela van der Schaar · Robert Lange

Panacea: Pareto Alignment via Preference Adaptation for LLMs

Yifan Zhong · Chengdong Ma · Xiaoyuan Zhang · Ziran Yang · Haojun Chen · Qingfu Zhang · Siyuan Qi · Yaodong Yang

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

Zhengkai Lin · Zhihang Fu · Kai Liu · Liang Xie · Binbin Lin · Wenxiao Wang · Deng Cai · Yue Wu · Jieping Ye

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning

Yibo Yang · Xiaojie Li · Zhongzhu Zhou · Shuaiwen Song · Jianlong Wu · Liqiang Nie · Bernard Ghanem

Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models

Minki Kang · Sung Ju Hwang · Gibbeum Lee · Jaewoong Cho

Knowledge Graph Completion by Intermediate Variables Regularization

Changyi Xiao · Yixin Cao

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Bernal Jimenez Gutierrez · Yiheng Shu · Yu Gu · Michihiro Yasunaga · Yu Su

Agent Planning with World Knowledge Model

Shuofei Qiao · Runnan Fang · Ningyu Zhang · Yuqi Zhu · Xiang Chen · Shumin Deng · Yong Jiang · Pengjun Xie · Fei Huang · Huajun Chen

ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence

Kevin Wu · Eric Wu · James Zou

Entrywise error bounds for low-rank approximations of kernel matrices

Alexander Modell

Reciprocal Learning

Julian Rodemann · Christoph Jansen · Georg Schollmeyer

Exponential Quantum Communication Advantage in Distributed Inference and Learning

Dar Gilboa · Hagay Michaeli · Daniel Soudry · Jarrod McClean

Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods

Felix Dangel

Identifying Equivalent Training Dynamics

William Redman · Juan Bello-Rivas · Maria Fonoberova · Ryan Mohr · Yannis Kevrekidis · Igor Mezic

AGILE: A Novel Reinforcement Learning Framework of LLM Agents

Feng Peiyuan · Yichen He · Guanhua Huang · Yuan Lin · Hanchong Zhang · Yuchen Zhang · Hang Li

QTIP: Quantization with Trellises and Incoherence Processing

Albert Tseng · Qingyao Sun · David Hou · Christopher De Sa

Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation

Peng Tan · Hai-Tian Liu · Zhi-Hao Tan · Zhi-Hua Zhou

An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling

Shenbao Yu · Yinghui Pan · Yifeng Zeng · Prashant Doshi · Guoquan Liu · Kim-Leng Poh · Mingwei Lin

SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection

Yi Zhu · Surya Koppisetti · Trang Tran · Gaurav Bharaj

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge

Pengcheng Jiang · Lang Cao · Cao (Danica) Xiao · Parminder Bhatia · Jimeng Sun · Jiawei Han

Learning Representations for Hierarchies with Minimal Support

Benjamin Rozonoyer · Michael Boratko · Dhruvesh Patel · Wenlong Zhao · Shib Dasgupta · Hung Le · Andrew McCallum

Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models

Baao Xie · Qiuyu Chen · Yunnan Wang · Zequn Zhang · Xin Jin · Wenjun Zeng

Implicit Regularization Paths of Weighted Neural Representations

Jin-Hong Du · Pratik Patil

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark

Yi Xin · Siqi Luo · Xuyang Liu · Yuntao Du. · Haodi Zhou · Xinyu Cheng · Christina Lee · Junlong Du · Haozhe Wang · MingCai Chen · Ting Liu · Guimin Hu · Zhongwei Wan · rongchao zhang · Aoxue Li · Mingyang Yi · Xiaohong Liu

Meta-Learning Universal Priors Using Non-Injective Change of Variables

Yilang Zhang · Alireza Sadeghi · Georgios Giannakis

On Affine Homotopy between Language Encoders

Robin Chan · Reda Boumasmoud · Anej Svete · Yuxin Ren · Qipeng Guo · Zhijing Jin · Shauli Ravfogel · Mrinmaya Sachan · Bernhard Schölkopf · Mennatallah El-Assady · Ryan Cotterell

Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

Frederic Z. Zhang · Paul Albert · Cristian Rodriguez-Opazo · Anton van den Hengel · Ehsan Abbasnejad

Transfer Learning for Latent Variable Network Models

Akhil Jalan · Arya Mazumdar · Soumendu Sundar Mukherjee · Purnamrita Sarkar

Disentangling and mitigating the impact of task similarity for continual learning

Naoki Hiratani

TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning

Hui Chen · Yanbin Liu · Yongqiang Ma · Nanning Zheng · Xin Yu

Topological Hidden Markov Models

Adam B Kashlak · Prachi Loliencar · Giseon Heo

Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding

JaeYoo Park · Jin Young Choi · Jeonghyung Park · Bohyung Han

Test-Time Dynamic Image Fusion

Bing Cao · Yinan Xia · Yi Ding · Changqing Zhang · Qinghua Hu

WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences

Yujie Lu · Dongfu Jiang · Wenhu Chen · William Yang Wang · Yejin Choi · Bill Yuchen Lin

VHELM: A Holistic Evaluation of Vision Language Models

Tony Lee · Haoqin Tu · Chi Heem Wong · Wenhao Zheng · Yiyang Zhou · Yifan Mai · Josselin Roberts · Michihiro Yasunaga · Huaxiu Yao · Cihang Xie · Percy Liang

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens

Anas Awadalla · Le Xue · Oscar Lo · Manli Shu · Hannah Lee · Etash Guha · Sheng Shen · Mohamed Awadalla · Silvio Savarese · Caiming Xiong · Ran Xu · Yejin Choi · Ludwig Schmidt

OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning

Shengjie Niu · Lifan Lin · Jian Huang · Chao Wang

Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach

Yarin Bar · Shalev Shaer · Yaniv Romano

The tree autoencoder model, with application to hierarchical data visualization

Miguel A. Carreira-Perpinan · Kuat Gazizov

Why the Metric Backbone Preserves Community Structure

Maximilien Dreveton · Charbel Chucri · Matthias Grossglauser · Patrick Thiran

Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views

Xinyue Chen · Yazhou Ren · Jie Xu · Fangfei Lin · Xiaorong Pu · Yang Yang

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Haoyang He · Yuhu Bai · Jiangning Zhang · Qingdong He · Hongxu Chen · Zhenye Gan · Chengjie Wang · Xiangtai Li · Guanzhong Tian · Lei Xie

Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need?

Roel Bouman · Zaharah Bukhsh · Tom Heskes

Unveiling Encoder-Free Vision-Language Models

Haiwen Diao · Yufeng Cui · Xiaotong Li · Yueze Wang · Huchuan Lu · Xinlong Wang

Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

Brandon Huang · Chancharik Mitra · Leonid Karlinsky · Assaf Arbelle · Trevor Darrell · Roei Herzig

MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models

Leyang Shen · Gongwei Chen · Rui Shao · Weili Guan · Liqiang Nie

Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models

Yicheng Xu · Yuxin Chen · Jiahao Nie · Yusong Wang · HUIPING ZHUANG · Manabu Okumura

Are We on the Right Way for Evaluating Large Vision-Language Models?

Lin Chen · Jinsong Li · Xiaoyi Dong · Pan Zhang · Yuhang Zang · Zehui Chen · Haodong Duan · Jiaqi Wang · Yu Qiao · Dahua Lin · Feng Zhao

Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration

Kaihang Pan · Zhaoyu Fan · Juncheng Li · Qifan Yu · Hao Fei · Siliang Tang · Richang Hong · Hanwang Zhang · QIANRU SUN

Yo'LLaVA: Your Personalized Language and Vision Assistant

Thao Nguyen · Haotian Liu · Yuheng Li · Mu Cai · Utkarsh Ojha · Yong Jae Lee

Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching

Yongqi Wang · Wenxiang Guo · Rongjie Huang · Jiawei Huang · Zehan Wang · Fuming You · Ruiqi Li · Zhou Zhao

Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs

Yuxuan Qiao · Haodong Duan · Xinyu Fang · Junming Yang · Lin Chen · Songyang Zhang · Jiaqi Wang · Dahua Lin · Kai Chen

4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities

Roman Bachmann · Oguzhan Fatih Kar · David Mizrahi · Ali Garjani · Mingfei Gao · David Griffiths · Jiaming Hu · Afshin Dehghan · Amir Zamir

Unveiling the Tapestry of Consistency in Large Vision-Language Models

Yuan Zhang · Fei xiao · Tao Huang · Chun-Kai Fan · Hongyuan Dong · Jiawen Li · Jiacong Wang · Kuan Cheng · Shanghang Zhang · Haoyuan Guo

LOVA3: Learning to Visual Question Answering, Asking and Assessment

Henry Hengyuan Zhao · Pan Zhou · Difei Gao · Zechen Bai · Mike Zheng Shou

Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution

Yizi Zhang · Yanchen Wang · Donato Jiménez-Benetó · Zixuan Wang · Mehdi Azabou · Blake Richards · Renee Tung · Olivier Winter · Brain Laboratory International · Eva Dyer · Liam Paninski · Cole Hurwitz

Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions

Vinamra Benara · Chandan Singh · John Morris · Richard Antonello · Ion Stoica · Alexander Huth · Jianfeng Gao

Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

Christian Holberg · Cristopher Salvi

Efficient Large Multi-modal Models via Visual Context Compression

Jieneng Chen · Luoxin Ye · Ju He · Zhaoyang Wang · Daniel Khashabi · Alan Yuille

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Yihe Wang · Nan Huang · Taida Li · Yujun Yan · Xiang Zhang

Back to the Continuous Attractor

Ábel Ságodi · Guillermo Martín-Sánchez · Piotr Sokol · Memming Park

Learning predictable and robust neural representations by straightening image sequences

Julie Xueyan Niu · Cristina Savin · Eero Simoncelli

The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons

Eryn Sale · Wenhao Zhang

MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity

Lynn Le · Paolo Papale · Katja Seeliger · Antonio Lozano · Thirza Dado · Feng Wang · Pieter Roelfsema · Marcel A. J. van Gerven · Yağmur Güçlütürk · Umut Güçlü

Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective

Haixiang Sun · Ye Shi

$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes

Ziquan Wei · Tingting Dan · Jiaqi Ding · Guorong Wu

Linking In-context Learning in Transformers to Human Episodic Memory

Ji-An Li · Corey Zhou · Marcus Benna · Marcelo G Mattar

RTify: Aligning Deep Neural Networks with Human Behavioral Decisions

Yu-Ang Cheng · Ivan F Rodriguez Rodriguez · Sixuan Chen · Kohitij Kar · Takeo Watanabe · Thomas Serre

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction

Guobin Shen · Dongcheng Zhao · Xiang He · Linghao Feng · Yiting Dong · Jihang Wang · Qian Zhang · Yi Zeng

Learning Macroscopic Dynamics from Partial Microscopic Observations

Mengyi Chen · Qianxiao Li

Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators

Benedikt Alkin · Andreas Fürst · Simon Schmid · Lukas Gruber · Markus Holzleitner · Johannes Brandstetter

PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices

Hanqing Zhu · Wenyan Cong · Guojin Chen · Shupeng Ning · Ray Chen · Jiaqi Gu · David Z. Pan

Probablistic Emulation of a Global Climate Model with Spherical DYffusion

Salva Rühling Cachay · Brian Henn · Oliver Watt-Meyer · Christopher S. Bretherton · Rose Yu

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

Tung Nguyen · Rohan Shah · Hritik Bansal · Troy Arcomano · Romit Maulik · Rao Kotamarthi · Ian Foster · Sandeep Madireddy · Aditya Grover

Precipitation Downscaling with Spatiotemporal Video Diffusion

Prakhar Srivastava · Ruihan Yang · Gavin Kerrigan · Gideon Dresdner · Jeremy McGibbon · Christopher S. Bretherton · Stephan Mandt

AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

Louis Serrano · Thomas X Wang · Etienne Le Naour · Jean-Noël Vittaut · Patrick Gallinari

Quantum Deep Equilibrium Models

Philipp Schleich · Marta Skreta · Lasse Kristensen · Rodrigo Vargas-Hernandez · Alan Aspuru-Guzik

Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning

Yuxuan Ren · Dihan Zheng · Chang Liu · Peiran Jin · Yu Shi · Lin Huang · Jiyan He · Shengjie Luo · Tao Qin · Tie-Yan Liu

Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics

Jonas Spinner · Victor Breso · Pim de Haan · Tilman Plehn · Jesse Thaler · Johann Brehmer

Gaussian Process Bandits for Top-k Recommendations

Mohit Yadav · Cameron Musco · Daniel Sheldon

Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models

Jinlin Lai · Justin Domke · Daniel Sheldon

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Yibin Wang · Haizhou Shi · Ligong Han · Dimitris Metaxas · Hao Wang

Sparse Bayesian Generative Modeling for Compressive Sensing

Benedikt Böck · Sadaf Syed · Wolfgang Utschick

TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Benjamin Feuer · Robin Schirrmeister · Valeriia Cherepanova · Chinmay Hegde · Frank Hutter · Micah Goldblum · Niv Cohen · Colin White

FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings

Xiao Tan · Yiqin Wang · Yangyang Shen · Dian Shen · Meng Wang · Peibo Duan · Beilun Wang

Interaction-Force Transport Gradient Flows

Egor Gladin · Pavel Dvurechenskii · Alexander Mielke · Jia-Jie Zhu

Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data

Pei-Yau Weng · Minh Hoang · Lam Nguyen · My T. Thai · Lily Weng · Nghia Hoang

Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing

David Perera · Victor Letzelter · Theo Mariotte · Adrien Cortes · Mickael Chen · Slim Essid · Gaël Richard

Abductive Reasoning in Logical Credal Networks

Radu Marinescu · Junkyu Lee · Debarun Bhattacharjya · Fabio Cozman · Alexander Gray

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields

David Knigge · David Wessels · Riccardo Valperga · Samuele Papa · Jan-jakob Sonke · Erik Bekkers · Efstratios Gavves

Learning to Predict Structural Vibrations

Jan van Delden · Julius Schultz · Christopher Blech · Sabine Langer · Timo Lüddecke

Principled Bayesian Optimization in Collaboration with Human Experts

Wenjie Xu · Masaki Adachi · Colin Jones · Michael A Osborne

Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference

Jonathan Wenger · Kaiwen Wu · Philipp Hennig · Jacob Gardner · Geoff Pleiss · John Cunningham

Fast Channel Simulation via Error-Correcting Codes

Sharang Sriramu · Rochelle Barsz · Elizabeth Polito · Aaron Wagner

Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient

Vu Dinh · Lam Ho · Cuong V. Nguyen

A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models

Shivvrat Arya · Tahrima Rahman · Vibhav Gogate

VISA: Variational Inference with Sequential Sample-Average Approximations

Heiko Zimmermann · Christian Andersson Naesseth · Jan-Willem van de Meent

Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions

Heng Li · Minghan Li · Zhi-Qi Cheng · Yifei Dong · Yuxuan Zhou · Jun-Yan He · Qi Dai · Teruko Mitamura · Alexander Hauptmann

SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking

Jin Wu · Haoying Zhou · Peter Kazanzides · Adnan Munawar · Anqi Liu

RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar

Fangqiang Ding · Xiangyu Wen · Yunzhou Zhu · Yiming Li · Chris Xiaoxuan Lu

AED: Adaptable Error Detection for Few-shot Imitation Policy

Jia-Fong Yeh · Kuo-Han Hung · Pang-Chi Lo · Chi Ming Chung · Tsung-Han Wu · Hung-Ting Su · Yi-Ting Chen · Winston Hsu

Active Perception for Grasp Detection via Neural Graspness Field

Haoxiang Ma · Modi Shi · Boyang Gao · Di Huang

RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Jiaming Liu · Mengzhen Liu · Zhenyu Wang · Pengju An · Xiaoqi Li · Kaichen Zhou · Senqiao Yang · Renrui Zhang · Yandong Guo · Shanghang Zhang

DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting

Tao Dai · Beiliang Wu · Peiyuan Liu · Naiqi Li · Xue Yuerong · Shu-Tao Xia · Zexuan Zhu

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting

Zongjiang Shang · Ling Chen · Binqing Wu · Dongliang Cui

Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series

Yicheng Luo · Zhen Liu · Linghao Wang · Binquan Wu · Junhao Zheng · Qianli Ma

Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model

Yifan Duan · Jian Zhao · pengcheng · Junyuan Mao · Hao Wu · Jingyu Xu · shilong wang · Caoyuan Ma · Kai Wang · Kun Wang · Xuelong Li

Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans

Jen-Tse Huang · Man Ho LAM · Eric John Li · Shujie Ren · Wenxuan Wang · Wenxiang Jiao · Zhaopeng Tu · Michael R Lyu

Vision-Language Navigation with Energy-Based Policy

Rui Liu · Wenguan Wang · Yi Yang

BAKU: An Efficient Transformer for Multi-Task Policy Learning

Siddhant Haldar · Zhuoran Peng · Lerrel Pinto

Prediction with Action: Visual Policy Learning via Joint Denoising Process

Yanjiang Guo · Yucheng Hu · Jianke Zhang · Yen-Jen Wang · Xiaoyu Chen · Chaochao Lu · Jianyu Chen

HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid

Xinyu Xu · Yizheng Zhang · Yong-Lu Li · Lei Han · Cewu Lu

Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models

Regev Cohen · Idan Kligvasser · Ehud Rivlin · Daniel Freedman

Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers

Lirui Wang · Xinlei Chen · Jialiang Zhao · Kaiming He

MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation

Hongcheng Wang · Peiqi Liu · Wenzhe Cai · Mingdong Wu · Zhengyu Qian · Hao Dong

Frequency-aware Generative Models for Multivariate Time Series Imputation

XINYU YANG · Yu Sun · Yuan xiaojie · Xinyang Chen

SDformer: Similarity-driven Discrete Transformer For Time Series Generation

Zhicheng Chen · FENG SHIBO · Zhong Zhang · Xi Xiao · Xingyu Gao · Peilin Zhao

Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models

Nitzan Bitton Guetta · Aviv Slobodkin · Aviya Maimon · Eliya Habba · Royi Rassin · Yonatan Bitton · Idan Szpektor · Amir Globerson · Yuval Elovici

Task-oriented Time Series Imputation Evaluation via Generalized Representers

Zhixian Wang · Linxiao Yang · Liang Sun · Qingsong Wen · Yi Wang

UniTS: A Unified Multi-Task Time Series Model

Shanghua Gao · Teddy Koker · Owen Queen · Tom Hartvigsen · Theodoros Tsiligkaridis · Marinka Zitnik

Large Pre-trained time series models for cross-domain Time series analysis tasks

Harshavardhan Prabhakar Kamarthi · B. Aditya Prakash

MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models

Tessa Han · Aounon Kumar · Chirag Agarwal · Himabindu Lakkaraju

The Art of Saying No: Contextual Noncompliance in Language Models

Faeze Brahman · Sachin Kumar · Vidhisha Balachandran · Pradeep Dasigi · Valentina Pyatkin · Abhilasha Ravichander · Sarah Wiegreffe · Nouha Dziri · Khyathi Chandu · Jack Hessel · Yulia Tsvetkov · Noah Smith · Yejin Choi · Hanna Hajishirzi

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Zhao Xu · Fan LIU · Hao Liu

DeNetDM: Debiasing by Network Depth Modulation

Silpa Vadakkeeveetil Sreelatha · Adarsh Kappiyath · ABHRA CHAUDHURI · Anjan Dutta

BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment

Jiongxiao Wang · Jiazhao LI · Yiquan Li · Xiangyu Qi · Junjie Hu · Sharon Li · Patrick McDaniel · Muhao Chen · Bo Li · Chaowei Xiao

A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm

Tianchi Liao · Lele Fu · Jialong Chen · Zhen Wang · Zibin Zheng · Chuan Chen

Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration

Yuanjie Shi · Subhankar Ghosh · Taha Belkhouja · Jana Doppa · Yan Yan

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Anay Mehrotra · Manolis Zampetakis · Paul Kassianik · Blaine Nelson · Hyrum Anderson · Yaron Singer · Amin Karbasi

The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof

Derek Lim · Theo Putterman · Robin Walters · Haggai Maron · Stefanie Jegelka

Exploring Adversarial Robustness of Deep State Space Models

Biqing Qi · Yiang Luo · Junqi Gao · Pengfei Li · Kai Tian · Zhiyuan Ma · Bowen Zhou

Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?

Maohao Shen · Jongha (Jon) Ryu · Soumya Ghosh · Yuheng Bu · Prasanna Sattigeri · Subhro Das · Gregory Wornell

Amortized Eigendecomposition for Neural Networks

Tianbo Li · Zekun Shi · Jiaxi Zhao · Min Lin

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection

Dongsu Song · Daehwa Ko · Jay Hoon Jung

BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens

Hanxi Guo · Siyuan Cheng · Xiaolong Jin · Zhuo Zhang · Kaiyuan Zhang · Guanhong Tao · Guangyu Shen · Xiangyu Zhang

Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom

Tri Nguyen · Shahana Ibrahim · Xiao Fu

ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users

Guanlin Li · Kangjie Chen · Shudong Zhang · Jie Zhang · Tianwei Zhang

Large Language Model Unlearning

Yuanshun Yao · Xiaojun Xu · Yang Liu

Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective

Yibo Miao · Yinpeng Dong · Jinlai Zhang · Lijia Yu · Xiao Yang · Xiao-Shan Gao

DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain

Fengpeng Li · Kemou Li · Haiwei Wu · Jinyu Tian · Jiantao Zhou

What If the Input is Expanded in OOD Detection?

Boxuan Zhang · Jianing Zhu · Zengmao Wang · Tongliang Liu · Bo Du · Bo Han

United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories

Tianlong Xu · Chen Wang · Gaoyang Liu · Yang Yang · Kai Peng · Wei Liu

Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control

Yuxin Xiao · Wan Chaoqun · Yonggang Zhang · Wenxiao Wang · Binbin Lin · Xiaofei He · Xu Shen · Jieping Ye

Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift

Jiayun Wu · Jiashuo Liu · Peng Cui · Steven Wu

Fast yet Safe: Early-Exiting with Risk Control

Metod Jazbec · Alexander Timans · Tin Hadži Veljković · Kaspar Sakmann · Dan Zhang · Christian Andersson Naesseth · Eric Nalisnick

TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models

Zhen Chen · Yi Zhang · Fu Wang · Xingyu Zhao · Xiaowei Huang · Wenjie Ruan

Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning

Yiming Wang · Pei Zhang · Baosong Yang · Derek Wong · Zhuosheng Zhang · Rui Wang

Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense

Rui Min · Zeyu Qin · Nevin L. Zhang · Li Shen · Minhao Cheng

Protecting Your LLMs with Information Bottleneck

Zichuan Liu · Zefan Wang · Linjie Xu · Jinyu Wang · Lei Song · Tianchun Wang · Chunlin Chen · Wei Cheng · Jiang Bian

Learning from Uncertain Data: From Possible Worlds to Possible Models

Jiongli Zhu · Su Feng · Boris Glavic · Babak Salimi

Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature

Tong Zhou · Xuandong Zhao · Xiaolin Xu · Shaolei Ren

Multilingual Diversity Improves Vision-Language Representations

Thao Nguyen · Matthew Wallingford · Sebastin Santy · Wei-Chiu Ma · Sewoong Oh · Ludwig Schmidt · Pang Wei Koh · Ranjay Krishna

Not All Tokens Are What You Need for Pretraining

Zhenghao Lin · Zhibin Gou · Yeyun Gong · Xiao Liu · yelong shen · Ruochen Xu · Chen Lin · Yujiu Yang · Jian Jiao · Nan Duan · Weizhu Chen

MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers

Ning Ding · Yehui Tang · Haochen Qin · Zhenli Zhou · Chao Xu · Lin Li · Kai Han · Liao Heng · Yunhe Wang

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Tianbao Xie · Danyang Zhang · Jixuan Chen · Xiaochuan Li · Siheng Zhao · Ruisheng Cao · Jing Hua Toh · Zhoujun Cheng · Dongchan Shin · Fangyu Lei · Yitao Liu · Yiheng Xu · Shuyan Zhou · Silvio Savarese · Caiming Xiong · Victor Zhong · Tao Yu

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch

Xiaoyuan Zhang · Liang ZHAO · Yingying Yu · Xi Lin · Yifan Chen · Han Zhao · Qingfu Zhang

FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models

Tong Wu · Yinghao Xu · Ryan Po · Mengchen Zhang · Guandao Yang · Jiaqi Wang · Ziwei Liu · Dahua Lin · Gordon Wetzstein

Distributed Sparse Regression via Penalization

Yao Ji · Gesualdo Scutari · Ying Sun · Harsha Honnappa

RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting

Hsiang Hsu · Ivan Brugere · Shubham Sharma · Freddy Lecue · Richard Chen

Aligning Large Language Models with Representation Editing: A Control Perspective

Lingkai Kong · Haorui Wang · Wenhao Mu · Yuanqi Du · Yuchen Zhuang · Yifei Zhou · Yue Song · Rongzhi Zhang · Kai Wang · Chao Zhang

FedGMark: Certifiably Robust Watermarking for Federated Graph Learning

Yuxin Yang · Qiang Li · Yuan Hong · Binghui Wang

Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection

Geng Yu · Jianing Zhu · Jiangchao Yao · Bo Han

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Jiachen Li · Weixi Feng · Tsu-Jui Fu · Xinyi Wang · S Basu · Wenhu Chen · William Yang Wang

Transfer Q-star : Principled Decoding for LLM Alignment

Souradip Chakraborty · Soumya Suvra Ghosal · Ming Yin · Dinesh Manocha · Mengdi Wang · Amrit Singh Bedi · Furong Huang

Efficient Adversarial Training in LLMs with Continuous Attacks

Sophie Xhonneux · Alessandro Sordoni · Stephan Günnemann · Gauthier Gidel · Leo Schwinn

GO4Align: Group Optimization for Multi-Task Alignment

Jiayi Shen · Qi Wang · Zehao Xiao · Nanne van Noord · Marcel Worring

SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization

Tehila Dahan · Kfir Y. Levy

Neuro-Symbolic Data Generation for Math Reasoning

Zenan Li · Zhi Zhou · Yuan Yao · Xian Zhang · Yu-Feng Li · Chun Cao · Fan Yang · Xiaoxing Ma

Make Continual Learning Stronger via C-Flat

Ang Bian · Wei Li · Hangjie Yuan · yu chengrong · Mang Wang · Zixiang Zhao · Aojun Lu · Pengliang Ji · Tao Feng

Edit Distance Robust Watermarks via Indexing Pseudorandom Codes

Noah Golowich · Ankur Moitra

A Modular Conditional Diffusion Framework for Image Reconstruction

Magauiya Zhussip · Iaroslav Koshelev · Stamatios Lefkimmiatis

Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms

Thanh Nguyen-Tang · Raman Arora

Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning

Wuyang Chen · Jialin Song · Pu Ren · Shashank Subramanian · Dmitriy Morozov · Michael Mahoney

VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation

Shiwei Wu · Joya Chen · Kevin Qinghong Lin · Qimeng Wang · Yan Gao · Qianli Xu · Tong Xu · Yao Hu · Enhong Chen · Mike Zheng Shou

Unrolled denoising networks provably learn to perform optimal Bayesian inference

Aayush Karan · Kulin Shah · Sitan Chen · Yonina Eldar

BAN: Detecting Backdoors Activated by Adversarial Neuron Noise

Xiaoyun Xu · Zhuoran Liu · Stefanos Koffas · Shujian Yu · Stjepan Picek

Graph-based Uncertainty Metrics for Long-form Language Model Generations

Mingjian Jiang · Yangjun Ruan · Prasanna Sattigeri · Salim Roukos · Tatsunori Hashimoto

Why Transformers Need Adam: A Hessian Perspective

Yushun Zhang · Congliang Chen · Tian Ding · Ziniu Li · Ruoyu Sun · Zhiquan Luo

Generalized Protein Pocket Generation with Prior-Informed Flow Matching

ZAIXI ZHANG · Marinka Zitnik · Qi Liu

MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning

Stella Li · Vidhisha Balachandran · Shangbin Feng · Jonathan Ilgen · Emma Pierson · Pang Wei Koh · Yulia Tsvetkov

$\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions

Lingxiao Li · Kaixiong Gong · Wei-Hong Li · xili dai · Tao Chen · Xiaojun Yuan · Xiangyu Yue

Open-Vocabulary Object Detection via Language Hierarchy

Jiaxing Huang · Jingyi Zhang · Kai Jiang · Shijian Lu

Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPs

Tian Tian · Lin Yang · Csaba Szepesvari

Universal Rates for Active Learning

Steve Hanneke · Amin Karbasi · Shay Moran · Grigoris Velegkas

Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization

Xinyu Lyu · Beitao Chen · Lianli Gao · Hengtao Shen · Jingkuan Song

Geometric Trajectory Diffusion Models

Jiaqi Han · Minkai Xu · Aaron Lou · Haotian Ye · Stefano Ermon

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random

Mingming Ha · Taoxuewen · Wenfang Lin · QIONGXU MA · Wujiang Xu · Linxun Chen

Customizing Language Models with Instance-wise LoRA for Sequential Recommendation

Xiaoyu Kong · Jiancan Wu · An Zhang · Leheng Sheng · Hui Lin · Xiang Wang · Xiangnan He

Revisiting Score Propagation in Graph Out-of-Distribution Detection

Longfei Ma · Yiyou Sun · Kaize Ding · Zemin Liu · Fei Wu

Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models

Liulei Li · Wenguan Wang · Yi Yang

One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection

Zhenyu Wang · Ya-Li Li · Hengshuang Zhao · Shengjin Wang

Identify Then Recommend: Towards Unsupervised Group Recommendation

Yue Liu · Shihao Zhu · Tianyuan Yang · Jian Ma · Wenliang Zhong

Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models

Yeming Wen · Swarat Chaudhuri

Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization

Zhikang Chen · Min Zhang · Sen Cui · Haoxuan Li · Gang Niu · Mingming Gong · Changshui Zhang · Kun Zhang

Multi-modal Transfer Learning between Biological Foundation Models

Juan Jose Garau-Luis · Patrick Bordes · Liam Gonzalez · Maša Roller · Bernardo de Almeida · Christopher Blum · Lorenz Hexemer · Stefan Laurent · Maren Lang · Thomas Pierrot · Guillaume Richard

Communication-Efficient Federated Group Distributionally Robust Optimization

Zhishuai Guo · Tianbao Yang

Bridging Geometric States via Geometric Diffusion Bridge

Shengjie Luo · Yixian Xu · Di He · Shuxin Zheng · Tie-Yan Liu · Liwei Wang

Grammar-Aligned Decoding

Kanghee Park · Jiayu Wang · Taylor Berg-Kirkpatrick · Nadia Polikarpova · Loris D'Antoni

JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images

Zhecan Wang · Junzhang Liu · Chia-Wei Tang · Hani Alomari · Anushka Sivakumar · Rui Sun · Wenhao Li · Md. Atabuzzaman · Hammad Ayyubi · Haoxuan You · Alvi Md Ishmam · Kai-Wei Chang · Shih-Fu Chang · Christopher Thomas

Practical Shuffle Coding

Julius Kunze · Daniel Severo · Jan-Willem van de Meent · James Townsend

3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning

Zhifan Ye · Chenxi Wan · Chaojian Li · Jihoon Hong · Sixu Li · Leshu Li · Yongan Zhang · Yingyan (Celine) Lin

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Affinity Event

Neurodiversity Workshop

Jonathan Sutter

12:00 PM - 2:00 PM

Be part of the first ever neurodiversity workshop at Neurips, led by our Foundation's scientific committee. including current and/or prior representation from: NIH, IEEE, JP Morgan Chase Faculty Research, Black Tech Angel Fund, Jackie Robinson Foundation, Princeton University (as profiled in The Economist], MIT, Stanford, UPenn, Duke, MSU, Wayma, LATAM, Microsoft, Delta & Macy's. Four invited talks (including presenters from the Board of the Special Olympics and Amazon in London) will present on leading research assisting the neurodiverse community. All are welcome to attend; workshop encourages attendees to bring their own lunch.

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Affinity Event

Indigenous in AI/ML

Mason Grimshaw · Andrea Delgado-Olson · Faith Baca

2:30 PM - 6:00 PM

Indigenous In AI’s vision is to build an international community of Native, Aboriginal, and First Nations who will collectively transform their home communities with advanced technology. By elevating the voices of Indigenous ML researchers we will inspire future, impactful, community-centered work, and will foster a community of capacity in the fields of computer science, machine learning, and artificial intelligence.

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Invited Talk

From Diffusion Models to Schrödinger Bridges

Arnaud Doucet

2:30 PM - 3:30 PM

To ask a question remotely, visit Slido and enter #neurips2024?

Diffusion models have revolutionized generative modeling. Conceptually, these methods define a transport mechanism from a noise distribution to a data distribution. Recent advancements have extended this framework to define transport maps between arbitrary distributions, significantly expanding the potential for unpaired data translation. However, existing methods often fail to approximate optimal transport maps, which are theoretically known to possess advantageous properties. In this talk, we will show how one can modify current methodologies to compute Schrödinger bridges—an entropy-regularized variant of dynamic optimal transport. We will demonstrate this methodology on a variety of unpaired data translation tasks.

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Speaker Bio

Arnaud Doucet obtained his PhD from University Paris-XI in 1997. He has held faculty positions at Cambridge University, the University of British Columbia, the Institute of Statistical Mathematics, and Oxford University, where he was a statutory professor in the Department of Statistics. He was an Institute Mathematical Statistics (IMS) Medallion Lecturer in 2016, was elected an IMS Fellow in 2017, and was awarded the Guy Medal in Silver in 2020 by the Royal Statistical Society for his contributions to the theory and methodology in computational statistics. Since 2023, he has been a Senior Staff Research Scientist at Google DeepMind.

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Oral

Oral Session 4A: Natural Language Processing

3:30 PM - 4:30 PM

3 Events in this session

DevBench: A multimodal developmental benchmark for language learning

Alvin Tan · Chunhua Yu · Bria Long · Wanjing Ma · Tonya Murray · Rebecca Silverman · Jason Yeatman · Michael C Frank

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark

David Romero · Chenyang Lyu · Haryo Wibowo · Santiago Góngora · Aishik Mandal · Sukannya Purkayastha · Jesus-German Ortiz-Barajas · Emilio Cueva · Jinheon Baek · Soyeong Jeong · Injy Hamed · Yong Zheng-Xin · Zheng Wei Lim · Paula Silva · Jocelyn Dunstan · Mélanie Jouitteau · David LE MEUR · Joan Nwatu · Ganzorig Batnasan · Munkh-Erdene Otgonbold · Munkhjargal Gochoo · Guido Ivetta · Luciana Benotti · Laura Alonso Alemany · Hernán Maina · Jiahui Geng · Tiago Timponi Torrent · Frederico Belcavello · Marcelo Viridiano · Jan Christian Blaise Cruz · Dan John Velasco · Oana Ignat · Zara Burzo · Chenxi Whitehouse · Artem Abzaliev · Teresa Clifford · Gráinne Caulfield · Teresa Lynn · Christian Salamea-Palacios · Vladimir Araujo · Yova Kementchedjhieva · Mihail Mihaylov · Israel Azime · Henok Ademtew · Bontu Balcha · Naome A. Etori · David Adelani · Rada Mihalcea · Atnafu Lambebo Tonja · Maria Cabrera · Gisela Vallejo · Holy Lovenia · Ruochen Zhang · Marcos Estecha-Garitagoitia · Mario Rodríguez-Cantelar · Toqeer Ehsan · Rendi Chevi · Muhammad Adilazuarda · Ryandito Diandaru · Samuel Cahyawijaya · Fajri Koto · Tatsuki Kuribayashi · Haiyue Song · Aditya Khandavally · Thanmay Jayakumar · Raj Dabre · Mohamed Imam · Kumaranage Nagasinghe · Alina Dragonetti · Luis Fernando D'Haro · Niyomugisha Olivier · Jay Gala · Pranjal Chitale · Fauzan Farooqui · Thamar Solorio · Alham Aji

LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages

Andrew M. Bean · Simi Hellsten · Harry Mayne · Jabez Magomere · Ethan Chi · Ryan Chi · Scott Hale · Hannah Rose Kirk

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Oral

Oral Session 4C: Diffusion-based Models, Mathematics

3:30 PM - 4:30 PM

3 Events in this session

DenoiseRep: Denoising Model for Representation Learning

zhengrui Xu · Guan'an Wang · Xiaowen Huang · Jitao Sang

Improved Distribution Matching Distillation for Fast Image Synthesis

Tianwei Yin · Michaël Gharbi · Taesung Park · Richard Zhang · Eli Shechtman · Fredo Durand · Bill Freeman

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Shubham Toshniwal · Ivan Moshkov · Sean Narenthiran · Daria Gitman · Fei Jia · Igor Gitman

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Session

Overflow for Oral Session 4D: Machine Vision

3:30 PM - 4:30 PM

Session

Overflow for Oral Session 4A: Natural Language Processing

3:30 PM - 4:30 PM

Oral

Oral Session 4D: Machine Vision

3:30 PM - 4:30 PM

3 Events in this session

GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation

Junhao Cai · Yuji Yang · Weihao Yuan · Yisheng HE · Zilong Dong · Liefeng Bo · Hui Cheng · Qifeng Chen

MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model

Minghua Liu · Chong Zeng · Xinyue Wei · Ruoxi Shi · Linghao Chen · Chao Xu · Mengqi Zhang · Zhaoning Wang · Xiaoshuai Zhang · Isabella Liu · Hongzhi Wu · Hao Su

E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection

Jiaqing Zhang · Mingxiang Cao · Weiying Xie · Jie Lei · Daixun Li · Wenbo Huang · Yunsong Li · Xue Yang

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Oral

Oral Session 4B: Diffusion-based Models

3:30 PM - 4:30 PM

3 Events in this session

CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Ruiqi Gao · Aleksander Holynski · Philipp Henzler · Arthur Brussee · Ricardo Martin Brualla · Pratul Srinivasan · Jonathan Barron · Ben Poole

Stylus: Automatic Adapter Selection for Diffusion Models

Michael Luo · Justin Wong · Brandon Trabucco · Yanping Huang · Joseph Gonzalez · zhifeng Chen · Ruslan Salakhutdinov · Ion Stoica

Guiding a Diffusion Model with a Bad Version of Itself

Tero Karras · Miika Aittala · Tuomas Kynkäänniemi · Jaakko Lehtinen · Timo Aila · Samuli Laine

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Creative AI Session 6

Jean Oh · Marcelo Coelho · Lia Coleman · Yingtao Tian

4:30 PM - 7:30 PM

16 Events in this session

Autonoetic Intelligence: A Human-AI System for Being with the Time Being

Pat Pataranutaporn · Patricia Maes · Kavin Winson · Auttasak Lapapirojn · Peggy Yin · Pichayoot Ouppaphan · Monchai Lertsutthiwong · Hal Hershfield

Be the Beat: AI-Powered Boombox for Music Generation from Freestyle Dance

Ethan Chang

Dialogue with the Machine and Dialogue with the Art World: A Method for Evaluating AI as a Tool for Creativity

Remi Denton · Farbod Mehr · Aroussiak Gabriellan · Rida Qadri · Huma Gupta · Pamela Karimi · Piotr Mirowski

DreamLLM-3D: Affective Dream Reliving using Large Language Model and 3D Generative AI

Pinyao Liu · Claudia Picard-Deland · Michelle Carr · Alexandra Kitson · Alexander Steinmaurer · Keon Ju M. Lee

E(*)star, navigating the landscape of emotion language

Stefan Leijnen · Marieke M. M. Peeters · Ferdinand Kok

Exposed to AI: The Paradox of Trust and Vulnerability in Human-Machine Interactions

Zoe Zhiqiu Jiang

For All Mankind

Rishabh Chakrabarty

Memoroscope

Keunwook Kim

Navigating Ambiguity: Investigative gameplay with a Large Language Object in "A Mystery for You"

Mrinalini Singha · Haoheng Tang

Neural Artefact Black

Immanuel Koh

Neural MONOBLOC Black

Immanuel Koh

Neural Tides: Oceanic Neural Granular Synthesizer

Ryan Millett · Seyeon Park · Sabina Hyoju Ahn

Poespin-Wherever your body reach, there is a poetry

Yihua Li · Allison Parrish

RECITYGEN Interactive and Generative Participatory Urban Design Tool with Latent Diffusion and Segment Anything

Mingyang Sun · Runjia Tian · mo di · Chengxiu Yin · wu yanhong

Symbiosis

Runjia Tian

Text2Tradition: From Epistemological Tensions to AI-Mediated Cultural Co-Creation

Pat Pataranutaporn · Phoomparin Mano · Piyaporn Bhongse-tong · Pichet Klunchun · Patricia Maes · Chayapatr Archiwaranguprok

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Poster

Poster Session 4 East

4:30 PM - 7:30 PM

462 Events in this session

Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction

Sebastian Prillo · Wilson Wu · Yun Song

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization

Xiangxin Zhou · Dongyu Xue · Ruizhe Chen · Zaixiang Zheng · Liang Wang · Quanquan Gu

Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization

Aniketh Janardhan Reddy · Xinyang Geng · Michael Herschl · Sathvik Kolli · Aviral Kumar · Patrick Hsu · Sergey Levine · Nilah Ioannidis

Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation

Wenfang Yao · Chen Liu · Kejing Yin · William Cheung · Jing Qin

Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers

Alberto Alfarano · Francois Charton · Amaury Hayat

Automatic Outlier Rectification via Optimal Transport

Jose Blanchet · Jiajin Li · Markus Pelger · Greg Zanotti

Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation

Wenjun Miao · Guansong Pang · Jin Zheng · Xiao Bai

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems

Bin Lei · Yi Zhang · Shan Zuo · Ali Payani · Caiwen Ding

GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation

Junhao Cai · Yuji Yang · Weihao Yuan · Yisheng HE · Zilong Dong · Liefeng Bo · Hui Cheng · Qifeng Chen

Generating Highly Designable Proteins with Geometric Algebra Flow Matching

Simon Wagner · Leif Seute · Vsevolod Viliuga · Nicolas Wolf · Frauke Gräter · Jan Stühmer

PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection

Qihang Zhou · Jiangtao Yan · Shibo He · Wenchao Meng · Jiming Chen

Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality

Tianle Zhang · Langtian Ma · Yuchen Yan · yuchen zhang · yue yang · Ziyao Guo · Wenqi Shao · Kai Wang · Yang You · Yu Qiao · Ping Luo · Kaipeng Zhang

HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods

Barakeel Fanseu Kamhoua · Huamin Qu

Toward Semantic Gaze Target Detection

Samy Tafasca · Anshul Gupta · Victor Bros · Jean-marc Odobez

Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation

Tianjing Zhang · Yuhui Quan · Hui Ji

LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes

Zefan Qu · Ke Xu · Gerhard Hancke · Rynson Lau

Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor

Daniel Miao · Gilad Lerman · Joe Kileel

STONE: A Submodular Optimization Framework for Active 3D Object Detection

RUIYU MAO · Sarthak Kumar Maharana · Rishabh Iyer · Yunhui Guo

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

Jay Shah · Ganesh Bikshandi · Ying Zhang · Vijay Thakkar · Pradeep Ramani · Tri Dao

SimGen: Simulator-conditioned Driving Scene Generation

Yunsong Zhou · Michael Simon · Zhenghao (Mark) Peng · Sicheng Mo · Hongzi Zhu · Minyi Guo · Bolei Zhou

PointMamba: A Simple State Space Model for Point Cloud Analysis

Dingkang Liang · Xin Zhou · Wei Xu · Xingkui Zhu · Zhikang Zou · Xiaoqing Ye · Xiao Tan · Xiang Bai

Towards Visual Text Design Transfer Across Languages

Yejin Choi · Jiwan Chung · Sumin Shim · Giyeong Oh · Youngjae Yu

Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation

Yunlu Chen · Francisco Vicente Carrasco · Christian Häne · Giljoo Nam · Jean-Charles Bazin · Fernando D De la Torre

Towards Unsupervised Model Selection for Domain Adaptive Object Detection

Hengfu Yu · Jinhong Deng · Wen Li · Lixin Duan

Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication

Yunuo Chen · Tianyi Xie · Zeshun Zong · Xuan Li · Feng Gao · Yin Yang · Ying Nian Wu · Chenfanfu Jiang

Vivid-ZOO: Multi-View Video Generation with Diffusion Model

Bing Li · Cheng Zheng · Wenxuan Zhu · Jinjie Mai · Biao Zhang · Peter Wonka · Bernard Ghanem

CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors

Linye Lyu · Jiawei Zhou · Daojing He · YU LI

Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model

Ziqi Xie · Weidong Zhao · XianhuiLiu · Jian Zhao · Ning Jia

Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts

Zhiwei Lin · Yongtao Wang · Zhi Tang

Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation

Ning-Hsu (Albert) Wang · Yu-Lun Liu

Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation

Xuehao Cui · Guangyang Wu · Zhenghao Gan · Guangtao Zhai · Xiaohong Liu

DenoiseRep: Denoising Model for Representation Learning

zhengrui Xu · Guan'an Wang · Xiaowen Huang · Jitao Sang

RETR: Multi-View Radar Detection Transformer for Indoor Perception

Ryoma Yataka · Adriano Cardace · Perry Wang · Petros Boufounos · Ryuhei Takahashi

Learning 1D Causal Visual Representation with De-focus Attention Networks

Tao Chenxin · Xizhou Zhu · Shiqian Su · Lewei Lu · Changyao Tian · Xuan Luo · Gao Huang · Hongsheng Li · Yu Qiao · Jie Zhou · Jifeng Dai

Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination

Ruochen Liu · Hao Chen · Yuanchen Bei · Qijie Shen · Fangwei Zhong · Senzhang Wang · Jianxin Wang

MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images

Eunji Hong · Minh Hieu Nguyen · Mikaela Angelina Uy · Minhyuk Sung

Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering

Meng Wei · Qianyi Wu · Jianmin Zheng · Hamid Rezatofighi · Jianfei Cai

DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering

Zhongpai Gao · Benjamin Planche · Meng Zheng · Xiao Chen · Terrence Chen · Ziyan Wu

3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction

Jongmin Lee · Minsu Cho

An Analysis of Tokenization: Transformers under Markov Data

Nived Rajaraman · Jiantao Jiao · Kannan Ramchandran

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models

Peng Wang · Zexi Li · Ningyu Zhang · Ziwen Xu · Yunzhi Yao · Yong Jiang · Pengjun Xie · Fei Huang · Huajun Chen

One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection

Yiyue Li · Shaoting Zhang · Kang Li · Qicheng Lao

YOLOv10: Real-Time End-to-End Object Detection

Ao Wang · Hui Chen · Lihao Liu · Kai CHEN · Zijia Lin · Jungong Han · guiguang ding

Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis

Diwen Wan · Yuxiang Wang · Ruijie Lu · Gang Zeng

MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model

Minghua Liu · Chong Zeng · Xinyue Wei · Ruoxi Shi · Linghao Chen · Chao Xu · Mengqi Zhang · Zhaoning Wang · Xiaoshuai Zhang · Isabella Liu · Hongzhi Wu · Hao Su

RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling

Tianhang Wang · Fan Lu · Zehan Zheng · Zhijun Li · Guang Chen · changjun jiang

DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut

Paul Couairon · Mustafa Shukor · Jean-Emmanuel HAUGEARD · Matthieu Cord · Nicolas THOME

Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search

Kevin Yu · Jihye Roh · Ziang Li · Wenhao Gao · Runzhong Wang · Connor Coley

Improved Distribution Matching Distillation for Fast Image Synthesis

Tianwei Yin · Michaël Gharbi · Taesung Park · Richard Zhang · Eli Shechtman · Fredo Durand · Bill Freeman

GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing

Zhenyu Wang · Aoxue Li · Zhenguo Li · Xihui Liu

Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation

Eyal Michaeli · Ohad Fried

Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics

Xiaodan Chen · Xiucheng Li · Xinyang Chen · Zhijun Li

EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models

Rui Zhao · Hangjie Yuan · Yujie Wei · Shiwei Zhang · Yuchao Gu · Lingmin Ran · Xiang Wang · Jay Zhangjie Wu · David Junhao Zhang · Yingya Zhang · Mike Zheng Shou

Recognize Any Regions

Haosen Yang · Chuofan Ma · Bin Wen · Yi Jiang · Zehuan Yuan · Xiatian Zhu

HydraViT: Stacking Heads for a Scalable ViT

Janek Haberer · Ali Hojjat · Olaf Landsiedel

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification

Francisco M. Castro-Macías · Pablo Morales Alvarez · Yunan Wu · Rafael Molina · Aggelos Katsaggelos

Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading

Qi Bi · Jingjun Yi · Hao Zheng · Wei Ji · Haolan Zhan · Yawen Huang · Yuexiang Li · Yefeng Zheng

Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models

Shuxia Lin · Miaosen Zhang · Ruiming Chen · Xu Yang · Qiufeng Wang · Xin Geng

Expanding Sparse Tuning for Low Memory Usage

Shufan Shen · Junshu Sun · Xiangyang Ji · Qingming Huang · Shuhui Wang

SegVol: Universal and Interactive Volumetric Medical Image Segmentation

Yuxin Du · Fan BAI · Tiejun Huang · Bo Zhao

TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network

Youcheng Zhang · Liwen Zhang · ZijunHu · Pengcheng Pi · Teng Li · Yuanpei Chen · Shi Peng · Zhe Ma

Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure

Simone Rossetti · Fiora Pirri

Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation

Lili Wei · Congyan Lang · Ziyi Chen · Tao Wang · Yidong Li · Jun Liu

Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts

Zhitong Gao · Bingnan Li · Mathieu Salzmann · Xuming He

Understanding Multi-Granularity for Open-Vocabulary Part Segmentation

Jiho Choi · Seonho Lee · Seungho Lee · Minhyun Lee · Hyunjung Shim

Bridge the Points: Graph-based Few-shot Segment Anything Semantically

Anqi Zhang · Guangyu Gao · Jianbo Jiao · Chi Liu · Yunchao Wei

From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS

Haoran Zhang · Junkai Deng · Xuhui Chen · Fei Hou · Wencheng Wang · Hong Qin · Chen Qian · Ying He

Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly

Junsheng Zhou · Yu-Shen Liu · Zhizhong Han

Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis

Liang Han · Junsheng Zhou · Yu-Shen Liu · Zhizhong Han

Truthfulness of Calibration Measures

Nika Haghtalab · Mingda Qiao · Kunhe Yang · Eric Zhao

LAVIB: A Large-scale Video Interpolation Benchmark

Alex Stergiou

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning

Hang Zhou · Yehui Tang · Haochen Qin · Yujie Yang · Renren Jin · Deyi Xiong · Kai Han · Yunhe Wang

PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling

Hao Wu · Changhu Wang · Fan Xu · Jinbao Xue · Chong Chen · Xian-Sheng Hua · Xiao Luo

The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better

Scott Geng · Cheng-Yu Hsieh · Vivek Ramanujan · Matthew Wallingford · Chun-Liang Li · Pang Wei Koh · Ranjay Krishna

Depth Anything V2

Lihe Yang · Bingyi Kang · Zilong Huang · Zhen Zhao · Xiaogang Xu · Jiashi Feng · Hengshuang Zhao

Moving Off-the-Grid: Scene-Grounded Video Representations

Sjoerd van Steenkiste · Daniel Zoran · Yi Yang · Yulia Rubanova · Rishabh Kabra · Carl Doersch · Dilara Gokay · joseph heyward · Etienne Pot · Klaus Greff · Drew Hudson · Thomas Keck · Joao Carreira · Alexey Dosovitskiy · Mehdi S. M. Sajjadi · Thomas Kipf

SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM

Ming Nie · Dan Ding · Chunwei Wang · Yuanfan Guo · Jianhua Han · Hang Xu · Li Zhang

HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model

Khoa Vo · Thinh Phan · Kashu Yamazaki · Minh Tran · Ngan Le

Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos

Luigi Seminara · Giovanni Maria Farinella · Antonino Furnari

Vript: A Video Is Worth Thousands of Words

Dongjie Yang · Suyuan Huang · Chengqiang Lu · Xiaodong Han · Haoxin Zhang · Yan Gao · Yao Hu · Hai Zhao

FIFO-Diffusion: Generating Infinite Videos from Text without Training

Jihwan Kim · Junoh Kang · Jinyoung Choi · Bohyung Han

CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Ruiqi Gao · Aleksander Holynski · Philipp Henzler · Arthur Brussee · Ricardo Martin Brualla · Pratul Srinivasan · Jonathan Barron · Ben Poole

ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation

Shenghai Yuan · Jinfa Huang · Yongqi Xu · YaoYang Liu · Shaofeng Zhang · Yujun Shi · Rui-Jie Zhu · Xinhua Cheng · Jiebo Luo · Li Yuan

SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification

Benjamin Feuer · Jiawei Xu · Niv Cohen · Patrick Yubeaton · Govind Mittal · Chinmay Hegde

Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?

Lingao Xiao · Yang He

Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions

Jonathan Hayase · Alisa Liu · Yejin Choi · Sewoong Oh · Noah Smith

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study

Xuefei Ning · Zifu Wang · Shiyao Li · Zinan Lin · Peiran Yao · Tianyu Fu · Matthew Blaschko · Guohao Dai · Huazhong Yang · Yu Wang

Fetch and Forge: Efficient Dataset Condensation for Object Detection

Ding Qi · Jian Li · Jinlong Peng · Bo Zhao · Shuguang Dou · Jialin Li · Jiangning Zhang · Yabiao Wang · Chengjie Wang · Cairong Zhao

Group and Shuffle: Efficient Structured Orthogonal Parametrization

Mikhail Gorbunov · Nikolay Yudin · Vera Soboleva · Aibek Alanov · Alexey Naumov · Maxim Rakhuba

Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation

Shiyu Xia · Yuankun Zu · Xu Yang · Xin Geng

NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation

Chaokang Jiang · Dalong Du · Jiuming Liu · Siting Zhu · Zhenqiang Liu · Zhuang Ma · Zhujin Liang · Jie Zhou

Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation

Shen Yuan · Haotian Liu · Hongteng Xu

A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training

Jie Ji · Gen Li · Jingjing Fu · Fatemeh Afghah · Linke Guo · Xiaoyong Yuan · Xiaolong Ma

Transformers on Markov data: Constant depth suffices

Nived Rajaraman · Marco Bondaschi · Ashok Vardhan Makkuva · Kannan Ramchandran · Michael Gastpar

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

Zun Wang · Chang Liu · Nianlong Zou · He Zhang · Xinran Wei · Lin Huang · Lijun Wu · Bin Shao

On the Role of Attention Masks and LayerNorm in Transformers

Xinyi Wu · Amir Ajorlou · Yifei Wang · Stefanie Jegelka · Ali Jadbabaie

Gated Slot Attention for Efficient Linear-Time Sequence Modeling

Yu Zhang · Songlin Yang · Rui-Jie Zhu · Yue Zhang · Leyang Cui · Yiqiao Wang · Bolun Wang · Freda Shi · Bailin Wang · Wei Bi · Peng Zhou · Guohong Fu

Bridging the Divide: Reconsidering Softmax and Linear Attention

Dongchen Han · Yifan Pu · Zhuofan Xia · Yizeng Han · Xuran Pan · Xiu Li · Jiwen Lu · Shiji Song · Gao Huang

Selective Attention: Enhancing Transformer through Principled Context Control

Xuechen Zhang · Xiangyu Chang · Mingchen Li · Amit Roy-Chowdhury · Jiasi Chen · Samet Oymak

xLSTM: Extended Long Short-Term Memory

Maximilian Beck · Korbinian Pöppel · Markus Spanring · Andreas Auer · Oleksandra Prudnikova · Michael Kopp · Günter Klambauer · Johannes Brandstetter · Sepp Hochreiter

Transformers need glasses! Information over-squashing in language tasks

Federico Barbero · Andrea Banino · Steven Kapturowski · Dharshan Kumaran · João Madeira Araújo · Oleksandr Vitvitskyi · Razvan Pascanu · Petar Veličković

Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios

Shantanu Jaiswal · Debaditya Roy · Basura Fernando · Cheston Tan

Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems

Bingcong Li · Liang Zhang · Niao He

CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization

Zi Yang · Ziyue Liu · Samridhi Choudhary · Xinfeng Xie · Cao Gao · Siegfried Kunzmann · Zheng Zhang

Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training

Atli Kosson · Bettina Messmer · Martin Jaggi

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding

Rajesh Jayaram · Laxman Dhulipala · Majid Hadian · Jason Lee · Vahab Mirrokni

On the Surprising Effectiveness of Attention Transfer for Vision Transformers

Alex Li · Yuandong Tian · Beidi Chen · Deepak Pathak · Xinlei Chen

Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation

Yu-Liang Zhan · Zhong-Yi Lu · Hao Sun · Ze-Feng Gao

ProxyFusion: Face Feature Aggregation Through Sparse Experts

Bhavin Jawade · Alexander Stone · Deen Dayal Mohan · Xiao Wang · Srirangaraj Setlur · Venu Govindaraju

Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning

RONGLONG FANG · Yuesheng Xu

Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control

Gunshi Gupta · Karmesh Yadav · Yarin Gal · Dhruv Batra · Zsolt Kira · Cong Lu · Tim G. J. Rudner

Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement

Tao Yang · Cuiling Lan · Yan Lu · Nanning Zheng

Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe

Albert Q. Jiang · Alicja Ziarko · Bartosz Piotrowski · Wenda Li · Mateja Jamnik · Piotr Miłoś

RMLR: Extending Multinomial Logistic Regression into General Geometries

Ziheng Chen · Yue Song · Rui Wang · Xiaojun Wu · Nicu Sebe

Zipfian Whitening

Sho Yokoi · Han Bao · Hiroto Kurita · Hidetoshi Shimodaira

Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment

JIAWEI DU · xin zhang · Juncheng Hu · Wenxin Huang · Joey Tianyi Zhou

Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication

Olaf Lipinski · Adam Sobey · Federico Cerutti · Timothy Norman

A StrongREJECT for Empty Jailbreaks

Alexandra Souly · Qingyuan Lu · Dillon Bowen · Tu Trinh · Elvis Hsieh · Sana Pandey · Pieter Abbeel · Justin Svegliato · Scott Emmons · Olivia Watkins · Sam Toyer

A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention

Hugo Cui · Freya Behrens · Florent Krzakala · Lenka Zdeborová

Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes

Zhenfeng Tu · Santiago Tomas Aranguri Diaz · Arthur Jacot

PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders

Xiangdong Zhang · Shaofeng Zhang · Junchi Yan

Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization

Junlin He · Jinxiao Du · Wei Ma

Self-Guided Masked Autoencoder

Jeongwoo Shin · Inseo Lee · Junho Lee · Joonseok Lee

Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis

Kai Hu · Ye Xiao · Yuan Zhang · Xieping Gao

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise

Yeonguk Yu · Minhwan Ko · Sungho Shin · Kangmin Kim · Kyoobin Lee

Full-Distance Evasion of Pedestrian Detectors in the Physical World

Zhi Cheng · Zhanhao Hu · Yuqiu Liu · Jianmin Li · Hang Su · Xiaolin Hu

Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers

JONAS NGNAWE · Sabyasachi Sahoo · Yann Pequignot · Frederic Precioso · Christian Gagné

Sample Selection via Contrastive Fragmentation for Noisy Label Regression

Chris Dongjoo Kim · Sangwoo Moon · Jihwan Moon · Dongyeon Woo · Gunhee Kim

Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space

Leo Schwinn · David Dobre · Sophie Xhonneux · Gauthier Gidel · Stephan Günnemann

Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models

Qingyuan Zeng · Zhenzhong Wang · Yiu-ming Cheung · Min JIANG

Information-theoretic Limits of Online Classification with Noisy Labels

Changlong Wu · Ananth Grama · Wojciech Szpankowski

Approximation Rate of the Transformer Architecture for Sequence Modeling

Haotian Jiang · Qianxiao Li

Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Daniel Kunin · Allan Raventós · Clémentine Dominé · Feng Chen · David Klindt · Andrew Saxe · Surya Ganguli

The Expressive Capacity of State Space Models: A Formal Language Perspective

Yash Sarrof · Yana Veitsman · Michael Hahn

$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling

Moritz Haas · Jin Xu · Volkan Cevher · Leena Chennuru Vankadara

Unsupervised Object Detection with Theoretical Guarantees

Marian Longa · João Henriques

Mixture of Tokens: Continuous MoE through Cross-Example Aggregation

Szymon Antoniak · Michał Krutul · Maciej Pióro · Jakub Krajewski · Jan Ludziejewski · Kamil Ciebiera · Krystian Król · Tomasz Odrzygóźdź · Marek Cygan · Sebastian Jaszczur

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems

Zhi Zheng · Changliang Zhou · Tong Xialiang · Mingxuan Yuan · Zhenkun Wang

SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning

Yexiao He · Ziyao Wang · Zheyu Shen · Guoheng Sun · Yucong Dai · Yongkai Wu · Hongyi Wang · Ang Li

MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization

Aozhong Zhang · Naigang Wang · Yanxia Deng · Xin Li · Zi Yang · Penghang Yin

SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation

Yiqi Zhang · Yang You

QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Saleh Ashkboos · Amirkeivan Mohtashami · Maximilian Croci · Bo Li · Pashmina Cameron · Martin Jaggi · Dan Alistarh · Torsten Hoefler · James Hensman

The GAN is dead; long live the GAN! A Modern GAN Baseline

Nick Huang · Aaron Gokaslan · Volodymyr Kuleshov · James Tompkin

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Minghan Li · Xilun Chen · Ari Holtzman · Beidi Chen · Jimmy Lin · Scott Yih · Victoria Lin

Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses

Seungwoo Yoo · Juil Koo · Kyeongmin Yeo · Minhyuk Sung

Accelerating Blockwise Parallel Language Models with Draft Refinement

Taehyeon Kim · Ananda Theertha Suresh · Kishore Papineni · Michael D Riley · Sanjiv Kumar · Adrian Benton

Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives

Vincent Hanke · Tom Blanchard · Franziska Boenisch · Iyiola Olatunji · Michael Backes · Adam Dziedzic

Stylus: Automatic Adapter Selection for Diffusion Models

Michael Luo · Justin Wong · Brandon Trabucco · Yanping Huang · Joseph Gonzalez · zhifeng Chen · Ruslan Salakhutdinov · Ion Stoica

CIFD: Controlled Information Flow to Enhance Knowledge Distillation

Yashas Malur Saidutta · Rakshith Sharma Srinivasa · Jaejin Cho · Ching-Hua Lee · Chouchang Yang · Yilin Shen · Hongxia Jin

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Vijay Chandra Lingam · Atula Neerkaje · Aditya Vavre · Aneesh Shetty · Gautham Krishna Gudur · Joydeep Ghosh · Eunsol Choi · Alex Dimakis · Aleksandar Bojchevski · Sujay Sanghavi

Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss

Paul Krzakala · Junjie Yang · Rémi Flamary · Florence d'Alché-Buc · Charlotte Laclau · Matthieu Labeau

einspace: Searching for Neural Architectures from Fundamental Operations

Linus Ericsson · Miguel Espinosa Minano · Chenhongyi Yang · Antreas Antoniou · Amos Storkey · Shay Cohen · Steven McDonagh · Elliot Crowley

Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers

Sukjun Hwang · Aakash Sunil Lahoti · Ratish Puduppully · Tri Dao · Albert Gu

A Label is Worth A Thousand Images in Dataset Distillation

Tian Qin · Zhiwei Deng · David Alvarez-Melis

Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images

Bahri Batuhan Bilecen · Ahmet Gökmen · Aysegul Dundar

Evaluating the World Model Implicit in a Generative Model

Keyon Vafa · Justin Chen · Ashesh Rambachan · Jon Kleinberg · Sendhil Mullainathan

Light Unbalanced Optimal Transport

Milena Gazdieva · Arip Asadulaev · Evgeny Burnaev · Aleksandr Korotin

Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation

Hongbo Wang · Jie Cao · Jin Liu · Xiaoqiang Zhou · Huaibo Huang · Ran He

Universal Sample Coding

Szymon Kobus · Tze-Yang Tung · Deniz Gunduz

Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs

Xin Ma · Yang Liu · Jingjing Liu · Xiaoxu Ma

AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

Zigeng Chen · Xinyin Ma · Gongfan Fang · Zhenxiong Tan · Xinchao Wang

Transfer Learning for Diffusion Models

Yidong Ouyang · Liyan Xie · Hongyuan Zha · Guang Cheng

CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models

Yiğit Ekin · Ahmet Burak Yildirim · Erdem Eren Çağlar · Aykut Erdem · Erkut Erdem · Aysegul Dundar

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

Benyuan Meng · Qianqian Xu · Zitai Wang · Xiaochun Cao · Qingming Huang

Online Posterior Sampling with a Diffusion Prior

Branislav Kveton · Boris Oreshkin · Youngsuk Park · Aniket Anand Deshmukh · Rui Song

What does guidance do? A fine-grained analysis in a simple setting

Muthu Chidambaram · Khashayar Gatmiry · Sitan Chen · Holden Lee · Jianfeng Lu

Conditional Synthesis of 3D Molecules with Time Correction Sampler

Hojung Jung · Youngrok Park · Laura Schmid · Jaehyeong Jo · Dongkyu Lee · Bongsang Kim · Se-Young Yun · Jinwoo Shin

Exploring DCN-like architecture for fast image generation with arbitrary resolution

Shuai Wang · Zexian Li · Tianhui Song · Xubin Li · Tiezheng Ge · Bo Zheng · Limin Wang

Constrained Diffusion with Trust Sampling

William Huang · Yifeng Jiang · Tom Van Wouwe · Karen Liu

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models

Fangyikang Wang · Hubery Yin · Yue-Jiang Dong · Huminhao Zhu · zhang chao · Hanbin Zhao · Hui Qian · Chen Li

Guiding a Diffusion Model with a Bad Version of Itself

Tero Karras · Miika Aittala · Tuomas Kynkäänniemi · Jaakko Lehtinen · Timo Aila · Samuli Laine

Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching

Xinyin Ma · Gongfan Fang · Michael Bi Mi · Xinchao Wang

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning

Yuxuan Duan · Yan Hong · Bo Zhang · jun lan · Huijia Zhu · Weiqiang Wang · Jianfu Zhang · Li Niu · Liqing Zhang

ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling

Francesca Babiloni · Alexandros Lattas · Jiankang Deng · Stefanos Zafeiriou

Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration

Yun-Yen Chuang · Hung-Min Hsu · Kevin Lin · Chen-Sheng Gu · Ling-Zhen Li · Ray-I Chang · Hung-yi Lee

Generating compositional scenes via Text-to-image RGBA Instance Generation

Alessandro Fontanella · Petru-Daniel Tudosiu · Yongxin Yang · Shifeng Zhang · Sarah Parisot

Few-Shot Diffusion Models Escape the Curse of Dimensionality

Ruofeng Yang · Bo Jiang · Cheng Chen · ruinan Jin · Baoxiang Wang · Shuai Li

Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity

Haoxuan Chen · Yinuo Ren · Lexing Ying · Grant Rotskoff

On conditional diffusion models for PDE simulations

Aliaksandra Shysheya · Cristiana Diaconu · Federico Bergamin · Paris Perdikaris · José Miguel Hernández-Lobato · Richard Turner · Emile Mathieu

Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

Min Zhao · Hongzhou Zhu · Chendong Xiang · Kaiwen Zheng · Chongxuan LI · Jun Zhu

PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator

Hanshu Yan · Xingchao Liu · Jiachun Pan · Jun Hao Liew · Qiang Liu · Jiashi Feng

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping

Junyoung Seo · Kazumi Fukuda · Takashi Shibuya · Takuya Narihira · Naoki Murata · Shoukang Hu · Chieh-Hsin Lai · Seungryong Kim · Yuki Mitsufuji

Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models

Sangwon Jang · Jaehyeong Jo · Kimin Lee · Sung Ju Hwang

Out-of-Distribution Detection with a Single Unconditional Diffusion Model

Alvin Heng · alexandre thiery · Harold Soh

Retrieval & Fine-Tuning for In-Context Tabular Models

Valentin Thomas · Junwei Ma · Rasa Hosseinzadeh · Keyvan Golestan · Guangwei Yu · Maks Volkovs · Anthony Caterini

Can large language models explore in-context?

Akshay Krishnamurthy · Keegan Harris · Dylan J Foster · Cyril Zhang · Aleksandrs Slivkins

LIVE: Learnable In-Context Vector for Visual Question Answering

Yingzhe Peng · chenduo hao · Xinting Hu · Jiawei Peng · Xin Geng · Xu Yang

ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction

Renze Chen · Zhuofeng Wang · Beiquan Cao · Tong Wu · Size Zheng · Xiuhong Li · Xuechao Wei · Shengen Yan · Meng Li · Yun Liang

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Lin Gui · Cristina Garbacea · Victor Veitch

Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages

Federico Mora · Justin Wong · Haley Lepe · Sahil Bhatia · Karim Elmaaroufi · George Varghese · Joseph Gonzalez · Elizabeth Polgreen · Sanjit Seshia

GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning

Yanbin Wei · Shuai Fu · Weisen Jiang · Zejian Zhang · Zhixiong Zeng · Qi Wu · James Kwok · Yu Zhang

DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph

Zhehao Zhang · Jiaao Chen · Diyi Yang

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?

Haoang Chi · He Li · Wenjing Yang · Feng Liu · Long Lan · Xiaoguang Ren · Tongliang Liu · Bo Han

A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning

Niki M Foteinopoulou · Enjie Ghorbel · Djamila Aouada

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Shubham Toshniwal · Ivan Moshkov · Sean Narenthiran · Daria Gitman · Fei Jia · Igor Gitman

Chain-of-Thought Unfaithfulness as Disguised Accuracy

Ana Marasovic · Nathan Stringham · Oliver Bentham

Benign overfitting in leaky ReLU networks with moderate input dimension

Kedar Karhadkar · Erin George · Michael Murray · Guido Montufar · Deanna Needell

Smoothie: Label Free Language Model Routing

Neel Guha · Mayee Chen · Trevor Chow · Ishan Khare · Christopher Ré

Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads

Avelina Hadji-Kyriacou · Ognjen Arandjelovic

HYDRA: Model Factorization Framework for Black-Box LLM Personalization

Yuchen Zhuang · Haotian Sun · Yue Yu · Rushi Qiang · Qifan Wang · Chao Zhang · Bo Dai

Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport

Nazar Buzun · Maksim Bobrin · Dmitry V. Dylov

InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling

Yuchun Miao · Sen Zhang · Liang Ding · Rong Bao · Lefei Zhang · Dacheng Tao

AutoMix: Automatically Mixing Language Models

Pranjal Aggarwal · Aman Madaan · Ankit Anand · Srividya Pranavi Potharaju · Swaroop Mishra · Pei Zhou · Aditya Gupta · Dheeraj Rajagopal · Karthik Kappaganthu · Yiming Yang · Shyam Upadhyay · Manaal Faruqui · Mausam

Is Programming by Example Solved by LLMs?

Wen-Ding Li · Kevin Ellis

GLBench: A Comprehensive Benchmark for Graph with Large Language Models

Yuhan Li · Peisong Wang · Xiao Zhu · Aochuan Chen · Haiyun Jiang · Deng Cai · Wai Kin (Victor) Chan · Jia Li

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation

Meihan Liu · Zhen Zhang · Jiachen Tang · Jiajun Bu · Bingsheng He · Sheng Zhou

Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification

Yuankai Luo · Lei Shi · Xiao-Ming Wu

Graph Classification via Reference Distribution Learning: Theory and Practice

Zixiao Wang · Jicong Fan

Faster Local Solvers for Graph Diffusion Equations

Jiahe Bai · Baojian Zhou · Deqing Yang · Yanghua Xiao

Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs

Franziska Heeg · Ingo Scholtes

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases

Hang Yin · Liyao Xiang · Dong Ding · Yuheng He · Yihan Wu · Pengzhi Chu · Xinbing Wang · Chenghu Zhou

Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?

Jiacheng Cen · Anyi Li · Ning Lin · Yuxiang Ren · Zihe Wang · Wenbing Huang

Enhancing Graph Transformers with Hierarchical Distance Structural Encoding

Yuankai Luo · Hongkang Li · Lei Shi · Xiao-Ming Wu

Relational Concept Bottleneck Models

Pietro Barbiero · Francesco Giannini · Gabriele Ciravegna · Michelangelo Diligenti · Giuseppe Marra

Language Model as Visual Explainer

Xingyi Yang · Xinchao Wang

Evidence of Learned Look-Ahead in a Chess-Playing Neural Network

Erik Jenner · Shreyas Kapur · Vasil Georgiev · Cameron Allen · Scott Emmons · Stuart J Russell

Hypothesis Testing the Circuit Hypothesis in LLMs

Claudia Shi · Nicolas Beltran Velez · Achille Nazaret · Carolina Zheng · Adrià Garriga-Alonso · Andrew Jesson · Maggie Makar · David Blei

MambaLRP: Explaining Selective State Space Sequence Models

Farnoush Rezaei Jafari · Grégoire Montavon · Klaus-Robert Müller · Oliver Eberle

Testing Calibration in Nearly-Linear Time

Lunjia Hu · Arun Jambulapati · Kevin Tian · Chutong Yang

On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"

Jasper Eppink · Floris Six Dijkstra · Wouter Bant · Ádám Divák

Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning

Zebang Cheng · Zhi-Qi Cheng · Jun-Yan He · Kai Wang · Yuxiang Lin · Zheng Lian · Xiaojiang Peng · Alexander Hauptmann

Long-range Brain Graph Transformer

Shuo Yu · Shan Jin · Ming Li · Tabinda Sarwar · Feng Xia

Extracting Training Data from Molecular Pre-trained Models

Renhong Huang · Jiarong Xu · Zhiming Yang · Xiang Si · Xin Jiang · Hanyang Yuan · Chunping Wang · YANG YANG

Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks

Mitchell Keren Taraday · Almog David · Chaim Baskin

Spiking Graph Neural Network on Riemannian Manifolds

Li Sun · Zhenhao Huang · Qiqi Wan · Hao Peng · Philip S Yu

Transcoders find interpretable LLM feature circuits

Jacob Dunefsky · Philippe Chlenski · Neel Nanda

Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models

Jack Merullo · Carsten Eickhoff · Ellie Pavlick

MeLLoC: Lossless Compression with High-order Mechanism Learning

Xinyue Luo · Jin Cheng · Yu Chen

Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP

Sriram Balasubramanian · Samyadeep Basu · Soheil Feizi

A Functional Extension of Semi-Structured Networks

David Rügamer · Bernard Liew · Zainab Altai · Almond Stöcker

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition

Shaurya Dewan · Rushikesh Zawar · Prakanshul Saxena · Yingshan CHANG · Andrew Luo · Yonatan Bisk

InversionView: A General-Purpose Method for Reading Information from Neural Activations

Xinting Huang · Madhur Panwar · Navin Goyal · Michael Hahn

Who's asking? User personas and the mechanics of latent misalignment

Asma Ghandeharioun · Ann Yuan · Marius Guerard · Emily Reif · Michael Lepori · Lucas Dixon

Pre-trained Large Language Models Use Fourier Features to Compute Addition

Tianyi Zhou · Deqing Fu · Vatsal Sharan · Robin Jia

AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties

Xiayan Ji · Anton Xue · Eric Wong · Oleg Sokolsky · Insup Lee

Learning to Assist Humans without Inferring Rewards

Vivek Myers · Evan Ellis · Sergey Levine · Benjamin Eysenbach · Anca Dragan

Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space

Core Francisco Park · Maya Okawa · Andrew Lee · Ekdeep S Lubana · Hidenori Tanaka

Long-form factuality in large language models

Jerry Wei · Chengrun Yang · Xinying Song · Yifeng Lu · Nathan Hu · Jie Huang · Dustin Tran · Daiyi Peng · Ruibo Liu · Da Huang · Cosmo Du · Quoc V Le

StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses

JIANAN LI · Quan Tu · Cunli Mao · Zhengtao Yu · Ji-Rong Wen · Rui Yan

Limits of Transformer Language Models on Learning to Compose Algorithms

Jonathan Thomm · Giacomo Camposampiero · Aleksandar Terzic · Michael Hersche · Bernhard Schölkopf · Abbas Rahimi

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning

Seo Yeongbin · Dongha Lee · Jinyoung Yeo

WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena

HAIPENG LUO · Qingfeng Sun · Can Xu · Pu Zhao · Qingwei Lin · Jian-Guang Lou · Shifeng Chen · Yansong Tang · Weizhu Chen

Zero-Shot Tokenizer Transfer

Benjamin Minixhofer · Edoardo Maria Ponti · Ivan Vulić

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback

Hamish Ivison · Yizhong Wang · Jiacheng Liu · Zeqiu Wu · Valentina Pyatkin · Nathan Lambert · Noah Smith · Yejin Choi · Hanna Hajishirzi

Aligning LLM Agents by Learning Latent Preference from User Edits

Ge Gao · Alexey Taymanov · Eduardo Salinas · Paul Mineiro · Dipendra Misra

Toxicity Detection for Free

Zhanhao Hu · Julien Piet · Geng Zhao · Jiantao Jiao · David Wagner

On Socially Fair Low-Rank Approximation and Column Subset Selection

Zhao Song · Ali Vakilian · David Woodruff · Samson Zhou

Reasons and Solutions for the Decline in Model Performance after Editing

Xiusheng Huang · Jiaxiang Liu · Yequan Wang · Kang Liu

Understanding Information Storage and Transfer in Multi-Modal Large Language Models

Samyadeep Basu · Martin Grayson · Cecily Morrison · Besmira Nushi · Soheil Feizi · Daniela Massiceti

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection

Xuefeng Du · Chaowei Xiao · Sharon Li

ReMoDetect: Reward Models Recognize Aligned LLM's Generations

Hyunseok Lee · Jihoon Tack · Jinwoo Shin

GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages

Amir Hossein Kargaran · François Yvon · Hinrich Schuetze

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization

Yuanpu Cao · Tianrong Zhang · Bochuan Cao · Ziyi Yin · Lu Lin · Fenglong Ma · Jinghui Chen

Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment

Wei Li · Lujun Li · Mark Lee · Shengjie Sun

D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models

Yikun Jiang · Huanyu Wang · Lei Xie · Hanbin Zhao · zhang chao · Hui Qian · John C. S. Lui

Preference Learning Algorithms Do Not Learn Preference Rankings

Angelica Chen · Sadhika Malladi · Lily Zhang · Xinyi Chen · Qiuyi (Richard) Zhang · Rajesh Ranganath · Kyunghyun Cho

$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$

Junkang Wu · Yuexiang Xie · Zhengyi Yang · Jiancan Wu · Jinyang Gao · Bolin Ding · Xiang Wang · Xiangnan He

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation

Gonçalo Faria · Sweta Agrawal · António Farinhas · Ricardo Rei · José de Souza · André Martins

Alignment for Honesty

Yuqing Yang · Ethan Chern · Xipeng Qiu · Graham Neubig · Pengfei Liu

COLD: Causal reasOning in cLosed Daily activities

Abhinav Joshi · areeb ahmad · Ashutosh Modi

UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction

Yansong Ning · Hao Liu

Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions

Khai Nguyen · Nhat Ho

Multi-Instance Partial-Label Learning with Margin Adjustment

Wei Tang · Yin-Fang Yang · Zhaofei Wang · Weijia Zhang · Min-Ling Zhang

Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models

Samuel Holt · Zhaozhi Qian · Tennison Liu · Jim Weatherall · Mihaela van der Schaar

ESPACE: Dimensionality Reduction of Activations for Model Compression

Charbel Sakr · Brucek Khailany

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation

Xiang Liu · Liangxi Liu · Feiyang Ye · Yunheng Shen · Xia Li · Linshan Jiang · Jialin Li

Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs

Alexandros Haliassos · Rodrigo Mira · Honglie Chen · Zoe Landgraf · Stavros Petridis · Maja Pantic

UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner

Dongchao Yang · Haohan Guo · Yuanyuan Wang · Rongjie Huang · Xiang Li · Xu Tan · Xixin Wu · Helen Meng

SSDM: Scalable Speech Dysfluency Modeling

Jiachen Lian · Xuanru Zhou · Zoe Ezzes · Jet Vonk · Brittany Morin · David Paul Baquirin · Zachary Miller · Maria Luisa Gorno Tempini · Gopala Anumanchipalli

SCOREQ: Speech Quality Assessment with Contrastive Regression

Alessandro Ragano · Jan Skoglund · Andrew Hines

P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics

Qi Wang · Pu Ren · Hao Zhou · Xin-Yang Liu · Zhiwen Deng · Yi Zhang · Zeruizhi Cheng · Hongsheng Liu · Zidong Wang · Jian-Xun Wang · Ji-Rong Wen · Hao Sun · Yang Liu

ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization

Haoran You · Yipin Guo · Yichao Fu · Wei Zhou · Huihong Shi · Xiaofan Zhang · Souvik Kundu · Amir Yazdanbakhsh · Yingyan (Celine) Lin

Knowledge Circuits in Pretrained Transformers

Yunzhi Yao · Ningyu Zhang · Zekun Xi · Mengru Wang · Ziwen Xu · Shumin Deng · Huajun Chen

Efficient Convex Algorithms for Universal Kernel Learning

Aleksandr Talitckii · Brendon Colbert · Matthew Peet

Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds

Charles Arnal · David Cohen-Steiner · Vincent Divol

Enriching Disentanglement: From Logical Definitions to Quantitative Metrics

Yivan Zhang · Masashi Sugiyama

FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction

Ziwei Li · Xiaoqi Wang · Hong-You Chen · Han Wei Shen · Wei-Lun (Harry) Chao

Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

David Holzmüller · Leo Grinsztajn · Ingo Steinwart

Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

Thomas Nagler · Lennart Schneider · Bernd Bischl · Matthias Feurer

Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment

Zhen-Yu Zhang · Zhiyu Xie · Huaxiu Yao · Masashi Sugiyama

Enhancing Domain Adaptation through Prompt Gradient Alignment

Viet Hoang Phan · Tung Lam Tran · Quyen Tran · Trung Le

Distributional Successor Features Enable Zero-Shot Policy Optimization

Chuning Zhu · Xinqi Wang · Tyler Han · Simon Du · Abhishek Gupta

SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models

Linglan Zhao · Xuerui Zhang · Ke Yan · Shouhong Ding · Weiran Huang

Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning

Xu Yang · Chen Liu · Ying Wei

Federated Learning over Connected Modes

Dennis Grinwald · Philipp Wiesner · Shinichi Nakajima

CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming

Ali Tehrani · Arijit Bhattacharjee · Le Chen · Nesreen K. Ahmed · Amir Yazdanbakhsh · Ali Jannesari

Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition

Zi-Hao Zhou · Siyuan Fang · Zi-Jing Zhou · Tong Wei · Yuanyu Wan · Min-Ling Zhang

Efficient Centroid-Linkage Clustering

Mohammadhossein Bateni · Laxman Dhulipala · Willem Fletcher · Kishen N. Gowda · D Ellis Hershkowitz · Rajesh Jayaram · Jakub Lacki

Inference on the Change Point under a High Dimensional Covariance Shift

Abhishek Kaul · Hongjin Zhang · Konstantinos Tsampourakis · George Michailidis

Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables

Hamid Mousavi · Jakob Drefs · Florian Hirschberger · Jörg Lücke

Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval

Lixu Wang · Xinyu Du · Qi Zhu

Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets

Vijaya Raghavan Ramkumar · Elahe Arani · Bahram Zonooz

Learning De-Biased Representations for Remote-Sensing Imagery

Zichen Tian · Zhaozheng CHEN · QIANRU SUN

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices

Hong Jia · Young Kwon · Alessio Orsino · Ting Dang · DOMENICO TALIA · Cecilia Mascolo

Large Scale Transfer Learning for Tabular Data via Language Modeling

Josh Gardner · Juan Perdomo · Ludwig Schmidt

Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner

Hanwen Zhong · Jiaxin Chen · Yutong Zhang · Di Huang · Yunhong Wang

Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning

Arijit Sehanobish · Kumar Avinava Dubey · Krzysztof M Choromanski · Somnath Basu Roy Chowdhury · Deepali Jain · Vikas Sindhwani · Snigdha Chaturvedi

IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing

Wenjun Zhang · Liangxiao Jiang · Chaoqun Li

Boosting Vision-Language Models with Transduction

Maxime Zanella · Benoît Gérin · Ismail Ayed

Happy: A Debiased Learning Framework for Continual Generalized Category Discovery

Shijie Ma · Fei Zhu · Zhun Zhong · Wenzhuo Liu · Xu-yao Zhang · Cheng-lin Liu

Instructor-inspired Machine Learning for Robust Molecular Property Prediction

Fang Wu · Shuting Jin · Siyuan Li · Stan Z. Li

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models

Pengxiang Li · Zhi Gao · Bofei Zhang · Tao Yuan · Yuwei Wu · Mehrtash Harandi · Yunde Jia · Song-Chun Zhu · Qing Li

VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark

Han Huang · Haitian Zhong · Tao Yu · Qiang Liu · Shu Wu · Liang Wang · Tieniu Tan

Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry

Marvin Alberts · Oliver Schilter · Federico Zipoli · Nina Hartrampf · Teodoro Laino

Bridge the Modality and Capability Gaps in Vision-Language Model Selection

Chao Yi · Yuhang He · De-Chuan Zhan · Han-Jia Ye

AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis

Swapnil Bhosale · Haosen Yang · Diptesh Kanojia · Jiankang Deng · Xiatian Zhu

Matryoshka Query Transformer for Large Vision-Language Models

Wenbo Hu · Zi-Yi Dou · Liunian Li · Amita Kamath · Nanyun Peng · Kai-Wei Chang

LLaNA: Large Language and NeRF Assistant

Andrea Amaduzzi · Pierluigi Zama Ramirez · Giuseppe Lisanti · Samuele Salti · Luigi Di Stefano

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models

Yushi Hu · Weijia Shi · Xingyu Fu · Dan Roth · Mari Ostendorf · Luke Zettlemoyer · Noah Smith · Ranjay Krishna

Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Yang Jiao · Shaoxiang Chen · Zequn Jie · Jingjing Chen · Lin Ma · Yu-Gang Jiang

Black-Box Forgetting

Yusuke Kuwana · Yuta Goto · Takashi Shibata · Go Irie

LocCa: Visual Pretraining with Location-aware Captioners

Bo Wan · Michael Tschannen · Yongqin Xian · Filip Pavetic · Ibrahim Alabdulmohsin · Xiao Wang · André Susano Pinto · Andreas Steiner · Lucas Beyer · Xiaohua Zhai

Learning diverse causally emergent representations from time series data

David McSharry · Christos Kaplanis · Fernando Rosas · Pedro A.M Mediano

Q-VLM: Post-training Quantization for Large Vision-Language Models

Changyuan Wang · Ziwei Wang · Xiuwei Xu · Yansong Tang · Jie Zhou · Jiwen Lu

CountGD: Multi-Modal Open-World Counting

Niki Amini-Naieni · Tengda Han · Andrew Zisserman

DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ

Jonas Belouadi · Simone Ponzetto · Steffen Eger

VisMin: Visual Minimal-Change Understanding

Rabiul Awal · Saba Ahmadi · LE ZHANG · Aishwarya Agrawal

An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval

Huilong Jin · Yingxue Zhang · Lei Shi · Shuang Zhang · Feifei Kou · Jiapeng Yang · Chuangying Zhu · Jia Luo

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment

Yonggan Fu · Zhongzhi Yu · Junwei Li · Jiayi Qian · Yongan Zhang · Xiangchi Yuan · Dachuan Shi · Roman Yakunin · Yingyan (Celine) Lin

Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment

Xin Xiao · Bohong Wu · Jiacong Wang · Chunyuan Li · zhou Xun · Haoyuan Guo

Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Byung-Kwan Lee · Chae Won Kim · Beomchan Park · Yong Man Ro

Flexible Context-Driven Sensory Processing in Dynamical Vision Models

Lakshmi Narasimhan Govindarajan · Abhiram Iyer · Valmiki Kothare · Ila Fiete

Temporal-Difference Learning Using Distributed Error Signals

Jonas Guan · Shon Verch · Claas Voelcker · Ethan Jackson · Nicolas Papernot · William Cunningham

QKFormer: Hierarchical Spiking Transformer using Q-K Attention

chenlin zhou · Han Zhang · Zhaokun Zhou · Liutao Yu · Liwei Huang · Xiaopeng Fan · Li Yuan · Zhengyu Ma · Huihui Zhou · Yonghong Tian

MiSO: Optimizing brain stimulation to create neural activity states

Yuki Minai · Joana Soldado-Magraner · Matthew Smith · Byron M Yu

Neural Embeddings Rank: Aligning 3D latent dynamics with movements

Chenggang Chen · Zhiyu Yang · Xiaoqin Wang

Geometry of naturalistic object representations in recurrent neural network models of working memory

Xiaoxuan Lei · Takuya Ito · Pouya Bashivan

FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor

Mengting Xu · De Ma · Huajin Tang · Qian Zheng · Gang Pan

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery

Anand Gopalakrishnan · Aleksandar Stanić · Jürgen Schmidhuber · Michael Mozer

Recurrent neural network dynamical systems for biological vision

Wayne Soo · Aldo Battista · Puria Radmard · Xiao-Jing Wang

Poisson Variational Autoencoder

Hadi Vafaii · Dekel Galor · Jacob Yates

A scalable generative model for dynamical system reconstruction from neuroimaging data

Eric Volkmann · Alena Brändle · Daniel Durstewitz · Georgia Koppe

Nonlinear dynamics of localization in neural receptive fields

Leon Lufkin · Andrew Saxe · Erin Grant

DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction

Qilong Ma · Haixu Wu · Lanxiang Xing · Shangchen Miao · Mingsheng Long

Quadratic Quantum Variational Monte Carlo

Baiyu Su · Qiang Liu

Dual Cone Gradient Descent for Training Physics-Informed Neural Networks

Youngsik Hwang · Dongyoung Lim

Towards training digitally-tied analog blocks via hybrid gradient computation

Timothy Nest · Maxence Ernoult

Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz

Ge Yan · Mengfei Ran · Ruocheng Wang · Kaisen Pan · Junchi Yan

Amortized Fourier Neural Operators

Zipeng Xiao · Siqi Kou · Hao Zhongkai · Bokai Lin · Zhijie Deng

From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach

Timothée Devergne · Vladimir Kostic · Michele Parrinello · Massimiliano Pontil

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

Zongyi Li · Daniel Zhengyu Huang · Burigede Liu · Anima Anandkumar

Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting

Chiu-Wai Yan · Shi Quan Foo · Van Hoan Trinh · Dit-Yan Yeung · Ka-Hing Wong · Wai-kin Wong

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization

Michal Balcerak · Tamaz Amiranashvili · Andreas Wagner · Jonas Weidner · Petr Karnakov · Johannes C. Paetzold · Ivan Ezhov · Petros Koumoutsakos · Benedikt Wiestler · bjoern menze

Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation

Yajing Zheng · Jiyuan Zhang · Zhaofei Yu · Tiejun Huang

A Polar coordinate system represents syntax in large language models

Pablo J. Diego Simon · Stéphane d'Ascoli · Emmanuel Chemla · Yair Lakretz · Jean-Remi King

Low Degree Hardness for Broadcasting on Trees

Han Huang · Elchanan Mossel

HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis

Shraddha Barke · Emmanuel Anaya Gonzalez · Saketh Ram Kasibatla · Taylor Berg-Kirkpatrick · Nadia Polikarpova

Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models

Daniela de Albuquerque · John Pearson

Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection

Jingen Qu · Yufei Chen · Xiaodong Yue · Wei Fu · Qiguang Huang

Hierarchical Uncertainty Exploration via Feedforward Posterior Trees

Elias Nehme · Rotem Mulayoff · Tomer Michaeli

Foundation Inference Models for Markov Jump Processes

David Berghaus · Kostadin Cvejoski · Patrick Seifner · César Ali Ojeda Marin · Ramsés J. Sánchez

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective

Zhichao Chen · Haoxuan Li · Fangyikang Wang · Odin Zhang · Hu Xu · Xiaoyu Jiang · Zhihuan Song · Hao Wang

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning

Tristan Cinquin · Marvin Pförtner · Vincent Fortuin · Philipp Hennig · Robert Bamler

eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling

Matthew Dowling · Yuan Zhao · Memming Park

Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines

Edward Milsom · Ben Anson · Laurence Aitchison

Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes

Jihao Andreas Lin · Shreyas Padhy · Bruno Mlodozeniec · Javier Antorán · José Miguel Hernández-Lobato

Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference

Xunpeng Huang · Difan Zou · Hanze Dong · Zhang · Yian Ma · Tong Zhang

EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing

Qibo Qiu · Shun Zhang · Haiming Gao · Honghui Yang · Haochao Ying · Wenxiao Wang · Xiaofei He

Grasp as You Say: Language-guided Dexterous Grasp Generation

Yi-Lin Wei · Jian-Jian Jiang · Chengyi Xing · Xian-Tuo Tan · Xiao-Ming Wu · Hao Li · Mark Cutkosky · Wei-Shi Zheng

GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance

shuaihang yuan · Hao Huang · Yu Hao · Congcong Wen · Anthony Tzes · Yi Fang

Humanoid Locomotion as Next Token Prediction

Ilija Radosavovic · Bike Zhang · Baifeng Shi · Jathushan Rajasegaran · Sarthak Kamat · Trevor Darrell · Koushil Sreenath · Jitendra Malik

MeMo: Meaningful, Modular Controllers via Noise Injection

Megan Tjandrasuwita · Jie Xu · Armando Solar-Lezama · Wojciech Matusik

Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets

Cherie Ho · Jiaye Zou · Omar Alama · Sai Mitheran Jagadesh Kumar · Cheng-Yu Chiang · Taneesh Gupta · Chen Wang · Nikhil Keetha · Katia Sycara · Sebastian Scherer

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics

Puze Liu · Jonas Günster · Niklas Funk · Simon Gröger · Dong Chen · Haitham Bou Ammar · Julius Jankowski · Ante Marić · Sylvain Calinon · Andrej Orsula · Miguel Olivares · Hongyi Zhou · Rudolf Lioutikov · Gerhard Neumann · Amarildo Likmeta · Amirhossein Zhalehmehrabi · Thomas Bonenfant · Marcello Restelli · Davide Tateo · Ziyuan Liu · Jan Peters

Unscrambling disease progression at scale: fast inference of event permutations with optimal transport

Peter Wijeratne · Daniel Alexander

Mutual Information Estimation via Normalizing Flows

Ivan Butakov · Aleksandr Tolmachev · Sofia Malanchuk · Anna Neopryatnaya · Alexey Frolov

Bayesian Online Natural Gradient (BONG)

Matt Jones · Peter Chang · Kevin Murphy

Constrained Sampling with Primal-Dual Langevin Monte Carlo

Luiz Chamon · Mohammad Reza Karimi Jaghargh · Anna Korba

Efficient Streaming Algorithms for Graphlet Sampling

Yann Bourreau · Marco Bressan · T-H. Hubert Chan · Qipeng Kuang · Mauro Sozio

LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations

Yuhang Li · Changsheng Li · Ruilin Lv · Rongqing Li · Ye Yuan · Guoren Wang

Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space

Maximilian Stölzle · Cosimo Della Santina

Learning Cooperative Trajectory Representations for Motion Forecasting

Hongzhi Ruan · Haibao Yu · Wenxian Yang · Siqi Fan · Zaiqing Nie

On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance

Zhixiong Nan · Yilong Chen · Tianfei Zhou · Tao Xiang

CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction

Shuqi Li · Yuebo Sun · Yuxin Lin · Xin Gao · Shuo Shang · Rui Yan

UniMTS: Unified Pre-training for Motion Time Series

Xiyuan Zhang · Diyan Teng · Ranak Roy Chowdhury · Shuheng Li · Dezhi Hong · Rajesh Gupta · Jingbo Shang

Fine-Tuning is Fine, if Calibrated

Zheda Mai · Arpita Chowdhury · Ping Zhang · Cheng-Hao Tu · Hong-You Chen · Vardaan Pahuja · Tanya Berger-Wolf · Song Gao · Charles Stewart · Yu Su · Wei-Lun (Harry) Chao

ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting

Sharmita Dey · Sarath Ravindran Nair

Are Self-Attentions Effective for Time Series Forecasting?

Dongbin Kim · Jinseong Park · Jaewook Lee · Hoki Kim

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models

Shengchao Chen · Guodong Long · Jing Jiang · Chengqi Zhang

CALANet: Cheap All-Layer Aggregation for Human Activity Recognition

Jaegyun Park · Dae-Won Kim · Jaesung Lee

Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement

Jeremiah Birrell · Reza Ebrahimi · Rouzbeh Behnia · Jason Pacheco

Provably Safe Neural Network Controllers via Differential Dynamic Logic

Samuel Teuber · Stefan Mitsch · André Platzer

Data-Efficient Learning with Neural Programs

Alaia Solko-Breslin · Seewon Choi · Ziyang Li · Neelay Velingker · Rajeev Alur · Mayur Naik · Eric Wong

Counterfactual Fairness by Combining Factual and Counterfactual Predictions

Zeyu Zhou · Tianci Liu · Ruqi Bai · Jing Gao · Murat Kocaoglu · David Inouye

Pre-training Differentially Private Models with Limited Public Data

Zhiqi Bu · Xinwei Zhang · Sheng Zha · Mingyi Hong · George Karypis

When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search

Xuan Chen · Yuzhou Nie · Wenbo Guo · Xiangyu Zhang

Self-Calibrating Conformal Prediction

Lars van der Laan · Ahmed Alaa

TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases

Thibault Simonetto · Salah GHAMIZI · Maxime Cordy

WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

Seungju Han · Kavel Rao · Allyson Ettinger · Liwei Jiang · Bill Yuchen Lin · Nathan Lambert · Yejin Choi · Nouha Dziri

PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations

Jiatong Li · Renjun Hu · Kunzhe Huang · Yan Zhuang · Qi Liu · Mengxiao Zhu · Xing Shi · Wei Lin

SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model

Grzegorz Stefański · Paweł Daniluk · Artur Szumaczuk · Jakub Tkaczuk

Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification

Yunshi Wen · Tengfei Ma · Lily Weng · Lam Nguyen · Anak Agung Julius

WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

Jinghan Jia · Jiancheng Liu · Yihua Zhang · Parikshit Ram · Nathalie Baracaldo · Sijia Liu

SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification

Yanxin Yang · Chentao Jia · DengKe Yan · Ming Hu · Tianlin Li · Xiaofei Xie · Xian Wei · Mingsong Chen

OSLO: One-Shot Label-Only Membership Inference Attacks

Yuefeng Peng · Jaechul Roh · Subhransu Maji · Amir Houmansadr

PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics

Omead Pooladzandi · Sunay Bhat · Jeffrey Jiang · Alexander Branch · Gregory Pottie

UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation

Ye Sun · Hao Zhang · Tiehua Zhang · Xingjun Ma · Yu-Gang Jiang

Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models

Paulius Rauba · Nabeel Seedat · Max Ruiz Luyten · Mihaela van der Schaar

The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations

Tyler LaBonte · John Hill · Xinchen Zhang · Vidya Muthukumar · Abhishek Kumar

Representation Noising: A Defence Mechanism Against Harmful Finetuning

Domenic Rosati · Jan Wehner · Kai Williams · Lukasz Bartoszcze · Robie Gonzales · carsten maple · Subhabrata Majumdar · Hassan Sajjad · Frank Rudzicz

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Andy Zhou · Bo Li · Haohan Wang

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation

Shiji Zhao · Ranjie Duan · xizhewang · Xingxing Wei

MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts

RENCHUNZI XIE · Ambroise Odonnat · Vasilii Feofanov · Weijian Deng · Jianfeng Zhang · Bo An

Fight Back Against Jailbreaking via Prompt Adversarial Tuning

Yichuan Mo · Yuji Wang · Zeming Wei · Yisen Wang

GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration

Jiachen (Tianhao) Wang · Tong Wu · Dawn Song · Prateek Mittal · Ruoxi Jia

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

Orevaoghene Ahia · Sachin Kumar · Hila Gonen · Valentin Hofmann · Tomasz Limisiewicz · Yulia Tsvetkov · Noah Smith

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Xiaosong Jia · Zhenjie Yang · Qifeng Li · Zhiyuan Zhang · Junchi Yan

Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading

Xueyi Zhang · Xueyi Zhang · Mingrui Lao · Peng Zhao · Jun Tang · Yanming Guo · Siqi Cai · Xianghu Yue · Haizhou Li

Benchmarking Complex Instruction-Following with Multiple Constraints Composition

Bosi Wen · Pei Ke · Xiaotao Gu · Lindong Wu · Hao Huang · Jinfeng Zhou · Wenchuang Li · Binxin Hu · Wendy Gao · Jiaxing Xu · Yiming Liu · Jie Tang · Hongning Wang · Minlie Huang

ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty

Xindi Wu · Dingli Yu · Yangsibo Huang · Olga Russakovsky · Sanjeev Arora

Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models

Ziyi Zhou · Xinwei Guo · Jiashi Gao · Xiangyu Zhao · Shiyao Zhang · Xin Yao · Xuetao Wei

Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection

Yearang Lee · Ho-Joong Kim · Seong-Whan Lee

Learning Human-like Representations to Enable Learning Human Values

Andrea Wynn · Ilia Sucholutsky · Tom Griffiths

Stealth edits to large language models

Oliver Sutton · Qinghua Zhou · Wei Wang · Desmond Higham · Alexander N Gorban · Alexander Bastounis · Ivan Tyukin

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation

Shangding Gu · Laixi Shi · Yuhao Ding · Alois Knoll · Costas J Spanos · Adam Wierman · Ming Jin

Multiclass Transductive Online Learning

Steve Hanneke · Vinod Raman · Amirreza Shaeiri · Unique Subedi

E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection

Jiaqing Zhang · Mingxiang Cao · Weiying Xie · Jie Lei · Daixun Li · Wenbo Huang · Yunsong Li · Xue Yang

Active, anytime-valid risk controlling prediction sets

Ziyu Xu · Nikos Karampatziakis · Paul Mineiro

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction

Zhihao Yu · Chu Xu · Yujie Jin · Yasha Wang · Junfeng Zhao

Learning Identifiable Factorized Causal Representations of Cellular Responses

Haiyi Mao · Romain Lopez · Kai Liu · Jan-Christian Huetter · David Richmond · Panayiotis Benos · Lin Qiu

SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures

Pei Zhou · Jay Pujara · Xiang Ren · Xinyun Chen · Heng-Tze Cheng · Quoc V Le · Ed Chi · Denny Zhou · Swaroop Mishra · Huaixiu (Steven) Zheng

Length Optimization in Conformal Prediction

Shayan Kiyani · George J. Pappas · Hamed Hassani

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Liyuan Mao · Haoran Xu · Xianyuan Zhan · Weinan Zhang · Amy Zhang

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

Kai Liu · Zhihang Fu · Sheng Jin · Chao Chen · Ze Chen · Rongxin Jiang · Fan Zhou · Yaowu Chen · Jieping Ye

Elliptical Attention

Stefan Nielsen · Laziz Abdullaev · Rachel S.Y. Teo · Tan Nguyen

Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals

Lisa Bedin · Gabriel Cardoso · Josselin Duchateau · Remi Dubois · Eric Moulines

Slight Corruption in Pre-training Data Makes Better Diffusion Models

Hao Chen · Yujin Han · Diganta Misra · Xiang Li · Kai Hu · Difan Zou · Masashi Sugiyama · Jindong Wang · Bhiksha Raj

Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection

Jiaxu Leng · Zhanjie Wu · Mingpi Tan · Yiran Liu · Ji Gan · Haosheng Chen · Xinbo Gao

Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models

Gen Li · Yuling Yan

Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction

Xingyu Xu · Yuejie Chi

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

Yue Yu · Wei Ping · Zihan Liu · Boxin Wang · Jiaxuan You · Chao Zhang · Mohammad Shoeybi · Bryan Catanzaro

KnowGPT: Knowledge Graph based Prompting for Large Language Models

Qinggang Zhang · Junnan Dong · Hao Chen · Daochen Zha · Zailiang Yu · Xiao Huang

L4GM: Large 4D Gaussian Reconstruction Model

Jiawei Ren · Cheng Xie · Ashkan Mirzaei · hanxue liang · xiaohui zeng · Karsten Kreis · Ziwei Liu · Antonio Torralba · Sanja Fidler · Seung Wook Kim · Huan Ling

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Xiaoxin He · Yijun Tian · Yifei Sun · Nitesh Chawla · Thomas Laurent · Yann LeCun · Xavier Bresson · Bryan Hooi

Online Classification with Predictions

Vinod Raman · Ambuj Tewari

Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials

Yawar Siddiqui · Tom Monnier · Filippos Kokkinos · Mahendra Kariya · Yanir Kleiman · Emilien Garreau · Oran Gafni · Natalia Neverova · Andrea Vedaldi · Roman Shapovalov · David Novotny

Approaching Human-Level Forecasting with Language Models

Danny Halawi · Fred Zhang · Chen Yueh-Han · Jacob Steinhardt

DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting

Binqian Xu · Xiangbo Shu · Haiyang Mei · Zechen Bai · Basura Fernando · Mike Zheng Shou · Jinhui Tang

Embedding-Aligned Language Models

Guy Tennenholtz · Yinlam Chow · Chih-wei Hsu · Lior Shani · Yi Liang · Craig Boutilier

Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network

Xiao Guo · Vishal Asnani · Sijia Liu · Xiaoming Liu

realSEUDO for real-time calcium imaging analysis

Iuliia Dmitrieva · Sergey Babkin · Adam Charles

Cell ontology guided transcriptome foundation model

XINYU YUAN · Zhihao Zhan · Zuobai Zhang · Manqi Zhou · Jianan Zhao · Boyu Han · Yue Li · Jian Tang

Revisiting motion information for RGB-Event tracking with MOT philosophy

Tianlu Zhang · Kurt Debattista · Qiang Zhang · guiguang ding · Jungong Han

Instruction-Guided Visual Masking

Jinliang Zheng · Jianxiong Li · Sijie Cheng · Yinan Zheng · Jiaming Li · Jihao Liu · Yu Liu · Jingjing Liu · Xianyuan Zhan

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents

Zihao Wang · Shaofei Cai · Zhancun Mu · Haowei Lin · Ceyao Zhang · Xuejie Liu · Qing Li · Anji Liu · Xiaojian (Shawn) Ma · Yitao Liang

Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity

Jikai Jin · Vasilis Syrgkanis

On the Necessity of Collaboration for Online Model Selection with Decentralized Data

Junfan Li · Zheshun Wu · Zenglin Xu · Irwin King

Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent

Liu Ziyin · Mingze Wang · Hongchao Li · Lei Wu

MoVA: Adapting Mixture of Vision Experts to Multimodal Context

ZHUOFAN ZONG · Bingqi Ma · Dazhong Shen · Guanglu Song · Hao Shao · DONGZHI JIANG · Hongsheng Li · Yu Liu

DisCEdit: Model Editing by Identifying Discriminative Components

Chaitanya Murti · Chiranjib Bhattacharyya

UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond

Kun Zhou · Xinyu Lin · Zhonghang LIU · Xiaoguang Han · Jiangbo Lu

Continual learning with the neural tangent ensemble

Ari Benjamin · Christian-Gernot Pehle · Kyle Daruwalla

Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning

Lijun Zhang · Lin Li · Wei Wei · Huizhong Song · Yaodong Yang · Jiye Liang

On the Power of Decision Trees in Auto-Regressive Language Modeling

Yulu Gan · Tomer Galanti · Tomaso Poggio · Eran Malach

Towards Neuron Attributions in Multi-Modal Large Language Models

Junfeng Fang · Zac Bi · Ruipeng Wang · Houcheng Jiang · Yuan Gao · Kun Wang · An Zhang · Jie Shi · Xiang Wang · Tat-Seng Chua

Set-based Neural Network Encoding Without Weight Tying

Bruno Andreis · Bedionita Soro · Philip Torr · Sung Ju Hwang

LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning

Jiazuo Yu · Haomiao Xiong · Lu Zhang · Haiwen Diao · Yunzhi Zhuge · Lanqing Hong · Dong Wang · Huchuan Lu · You He · Long Chen

Going Beyond Heuristics by Imposing Policy Improvement as a Constraint

Chi-Chang Lee · Zhang-Wei Hong · Pulkit Agrawal

Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM

Chenxin Li · Yuzhihuang · WUYANG LI · Hengyu Liu · Xinyu Liu · Qing Xu · Zhen Chen · Yue Huang · Yixuan Yuan

$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Jianqing Xu · Shen Li · Jiaying Wu · Miao Xiong · Ailin Deng · Jiazhen Ji · Yuge Huang · Guodong Mu · Wenjie Feng · Shouhong Ding · Bryan Hooi

Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient

Shaoqi Wang · Chunjie Yang · Siwei Lou

Towards the Dynamics of a DNN Learning Symbolic Interactions

Qihan Ren · Junpeng Zhang · Yang Xu · Yue Xin · Dongrui Liu · Quanshi Zhang

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Poster

Poster Session 4 West

4:30 PM - 7:30 PM

253 Events in this session

Optimization-based Causal Estimation from Heterogeneous Environments

Mingzhang Yin · Yixin Wang · David Blei

Learning Discrete Latent Variable Structures with Tensor Rank Conditions

Zhengming Chen · Ruichu Cai · Feng Xie · Jie Qiao · Anpeng Wu · Zijian Li · Zhifeng Hao · Kun Zhang

Causal Imitation for Markov Decision Processes: a Partial Identification Approach

Kangrui Ruan · Junzhe Zhang · Xuan Di · Elias Bareinboim

Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation

Trenton Chang · Lindsay Warrenburg · Sae-Hwan Park · Ravi Parikh · Maggie Makar · Jenna Wiens

Interventionally Consistent Surrogates for Complex Simulation Models

Joel Dyer · Nicholas Bishop · Yorgos Felekis · Fabio Massimo Zennaro · Anisoara Calinescu · Theodoros Damoulas · Michael Wooldridge

Learning Mixtures of Unknown Causal Interventions

Abhinav Kumar · Kirankumar Shiragur · Caroline Uhler

Interventional Causal Discovery in a Mixture of DAGs

Burak Varıcı · Dmitriy Katz · Dennis Wei · Prasanna Sattigeri · Ali Tajer

Discovery of the Hidden World with Large Language Models

Chenxi Liu · Yongqiang Chen · Tongliang Liu · Mingming Gong · James Cheng · Bo Han · Kun Zhang

Causal vs. Anticausal merging of predictors

Sergio Garrido Mejia · Patrick Blöbaum · Bernhard Schölkopf · Dominik Janzing

Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping

Nikolaos Ioannis Bountos · Maria Sdraka · Angelos Zavras · Andreas Karavias · Ilektra Karasante · Themistocles Herekakis · Angeliki Thanasou · Dimitrios Michail · Ioannis Papoutsis

FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding

Shuai Yuan · Guancong Lin · Lixian Zhang · Runmin Dong · Jinxiao Zhang · Shuang Chen · Juepeng Zheng · Jie Wang · Haohuan Fu

HelpSteer 2: Open-source dataset for training top-performing reward models

Zhilin Wang · Yi Dong · Olivier Delalleau · Jiaqi Zeng · Gerald Shen · Daniel Egert · Jimmy Zhang · Makesh Narsimhan Sreedhar · Oleksii Kuchaiev

SCRREAM : SCan, Register, REnder And Map: A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark

HyunJun Jung · Weihang Li · Shun-Cheng Wu · William Bittner · Nikolas Brasch · Jifei Song · Eduardo Pérez-Pellitero · Zhensong Zhang · Arthur Moreau · Nassir Navab · Benjamin Busam

Adaptive Passive-Aggressive Framework for Online Regression with Side Information

Runhao Shi · Jiaxi Ying · Daniel Palomar

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI

pengcheng chen · Jin Ye · Guoan Wang · Yanjun Li · Zhongying Deng · Wei Li · Tianbin Li · Haodong Duan · Ziyan Huang · Yanzhou Su · Benyou Wang · Shaoting Zhang · Bin Fu · Jianfei Cai · Bohan Zhuang · Eric Seibel · Junjun He · Yu Qiao

SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation

Jonathan Roberts · Kai Han · Neil Houlsby · Samuel Albanie

IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark

Fredrik Johansson

GeoPlant: Spatial Plant Species Prediction Dataset

Lukas Picek · Christophe Botella · Maximilien Servajean · César Leblanc · Rémi Palard · Theo Larcher · Benjamin Deneu · Diego Marcos · Pierre Bonnet · alexis joly

WikiDO: A New Benchmark Evaluating Cross-Modal Retrieval for Vision-Language Models

Pavan Kalyan Tankala · Piyush Pasi · Sahil Dharod · Azeem Motiwala · Preethi Jyothi · Aditi Chaudhary · Krishna Srinivasan

HourVideo: 1-Hour Video-Language Understanding

Keshigeyan Chandrasegaran · Agrim Gupta · Lea M. Hadzic · Taran Kota · Jimming He · Cristobal Eyzaguirre · Zane Durante · Manling Li · Jiajun Wu · Fei-Fei Li

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark

A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

Miguel González-Duque · Richard Michael · Simon Bartels · Yevgen Zainchkovskyy · Søren Hauberg · Wouter Boomsma

VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images

M. Maruf · Arka Daw · Kazi Sajeed Mehrab · Harish Babu Manogaran · Abhilash Neog · Medha Sawhney · Mridul Khurana · James Balhoff · Yasin Bakis · Bahadir Altintas · Matthew Thompson · Elizabeth Campolongo · Josef Uyeda · Hilmar Lapp · Henry Bart · Paula Mabee · Yu Su · Wei-Lun (Harry) Chao · Charles Stewart · Tanya Berger-Wolf · Wasila Dahdul · Anuj Karpatne

Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models

Arshia Hemmat · Adam Davies · Tom Lamb · Jianhao Yuan · Philip Torr · Ashkan Khakzar · Francesco Pinto

Markov Equivalence and Consistency in Differentiable Structure Learning

Chang Deng · Kevin Bello · Pradeep Ravikumar · Bryon Aragam

MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions

Felix Fent · Fabian Kuttenreich · Florian Ruch · Farija Rizwin · Stefan Juergens · Lorenz Lechermann · Christian Nissler · Andrea Perl · Ulrich Voll · Min Yan · Markus Lienkamp

MultiOrg: A Multi-rater Organoid-detection Dataset

Christina Bukas · Harshavardhan Subramanian · Fenja See · Carina Steinchen · Ivan Ezhov · Gowtham Boosarpu · Sara Asgharpour · Gerald Burgstaller · Mareike Lehmann · Florian Kofler · Marie Piraud

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Sunjun Kweon · Jiyoun Kim · Heeyoung Kwak · Dongchul Cha · Hangyul Yoon · Kwang Kim · Jeewon Yang · Seunghyun Won · Edward Choi

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

Richard Ren · Steven Basart · Adam Khoja · Alice Gatti · Long Phan · Xuwang Yin · Mantas Mazeika · Alexander Pan · Gabriel Mukobi · Ryan Kim · Stephen Fitz · Dan Hendrycks

EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking

Nuwan Bandara · Thivya Kandappu · Argha Sen · Ila Gokarn · Archan Misra

Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks

Tianyi Zhang · Linrong Cai · Jeffrey Li · Nicholas Roberts · Neel Guha · Frederic Sala

LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages

Andrew M. Bean · Simi Hellsten · Harry Mayne · Jabez Magomere · Ethan Chi · Ryan Chi · Scott Hale · Hannah Rose Kirk

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

Xiaochen Ma · Xuekang Zhu · Lei Su · Bo Du · Zhuohang Jiang · Bingkui Tong · Zeyu Lei · Xinyu Yang · Chi-Man Pun · Jiancheng Lv · Ji-Zhe Zhou

RedCode: Risky Code Execution and Generation Benchmark for Code Agents

Chengquan Guo · Xun Liu · Chulin Xie · Andy Zhou · Yi Zeng · Zinan Lin · Dawn Song · Bo Li

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents

Edoardo Debenedetti · Jie Zhang · Mislav Balunovic · Luca Beurer-Kellner · Marc Fischer · Florian Tramer

VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding

Xiang Li · Jian Ding · Mohamed Elhoseiny

Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data

Aoran Wang · Tsz Pan Tong · Andrzej Mizera · Jun Pang

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security

Minghao Shao · Sofija Jancheska · Meet Udeshi · Brendan Dolan-Gavitt · haoran xi · Kimberly Milner · Boyuan Chen · Max Yin · Siddharth Garg · Prashanth Krishnamurthy · Farshad Khorrami · Ramesh Karri · Muhammad Shafique

Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization

Mucong Ding · Chenghao Deng · Jocelyn Choo · Zichu Wu · Aakriti Agrawal · Avi Schwarzschild · Tianyi Zhou · Tom Goldstein · John Langford · Animashree Anandkumar · Furong Huang

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence

Md Tanvirul Alam · Dipkamal Bhusal · Le Nguyen · Nidhi Rastogi

ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization

Jianhua Sun · Yuxuan Li · Longfei Xu · Nange Wang · Jiude Wei · Yining Zhang · Cewu Lu

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices

Anka Reuel-Lamparth · Amelia Hardy · Chandler Smith · Max Lamparth · Malcolm Hardy · Mykel J Kochenderfer

SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery

Jian Song · Hongruixuan Chen · Weihao Xuan · Junshi Xia · Naoto YOKOYA

Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets

Ike Obi · Rohan Pant · Srishti Shekhar Agrawal · Maham Ghazanfar · Aaron Basiletti

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models

Rui Ye · Rui Ge · Xinyu Zhu · Jingyi Chai · Du Yaxin · Yang Liu · Yanfeng Wang · Siheng Chen

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Guilherme Penedo · Hynek Kydlíček · Loubna Ben allal · Anton Lozhkov · Margaret Mitchell · Colin Raffel · Leandro Von Werra · Thomas Wolf

UltraMedical: Building Specialized Generalists in Biomedicine

Kaiyan Zhang · Sihang Zeng · Ermo Hua · Ning Ding · Zhang-Ren Chen · Zhiyuan Ma · Haoxin Li · Ganqu Cui · Biqing Qi · Xuekai Zhu · Xingtai Lv · Hu Jinfang · Zhiyuan Liu · Bowen Zhou

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox

Haohui Wang · Weijie Guan · Chen Jianpeng · Zi Wang · Dawei Zhou

Topic-Conversation Relevance (TCR) Dataset and Benchmarks

Yaran Fan · Jamie Pool · Senja Filipi · Ross Cutler

PowerGraph: A power grid benchmark dataset for graph neural networks

Anna Varbella · Kenza Amara · Blazhe Gjorgiev · Mennatallah El-Assady · Giovanni Sansavini

WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games

Junlin Xie · Ruifei Zhang · Zhihong Chen · Xiang Wan · Guanbin Li

UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles

hui ye · Rajshekhar Sunderraman · Jonathan Shihao Ji

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression

Xi Zhang · Xiaolin Wu

EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography

Jehan Yang · Maxwell Soh · Vivianna Lieu · Douglas Weber · Zackory Erickson

MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations

Ruosen Li · Zimu Wang · Son Tran · Lei Xia · Xinya Du

kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution

Alex Mathai · Chenxi Huang · Petros Maniatis · Aleksandr Nogikh · Franjo Ivančić · Junfeng Yang · Baishakhi Ray

The Sample Complexity of Gradient Descent in Stochastic Convex Optimization

Roi Livni

A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds

Ben Chugg · Hongjian Wang · Aaditya Ramdas

Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness

Ahmad-Reza Ehyaei · Golnoosh Farnadi · Samira Samadi

Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making

Drago Plecko · Elias Bareinboim

GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks

Yu Zhang · Changhao Pan · Wenxiang Guo · Ruiqi Li · Zhiyuan Zhu · Jialei Wang · Wenhao Xu · Jingyu Lu · Zhiqing Hong · Chuxin Wang · Lichao Zhang · Jinzheng He · Ziyue Jiang · Yuxin Chen · Chen Yang · Jiecheng Zhou · Xinyu Cheng · Zhou Zhao

$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise

Jialiang Wang · Xiong Zhou · Deming Zhai · Junjun Jiang · Xiangyang Ji · Xianming Liu

Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections

Nathan Stromberg · Rohan Ayyagari · Sanmi Koyejo · Richard Nock · Lalitha Sankar

The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning

Jake Fawkes · Nic Fishman · Mel Andrews · Zachary Lipton

Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations

Thijmen Nijdam · Juell Sprott · Taiki Papandreou-Lazos · Jurgen de Heus

GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations

Jinhao Duan · Renming Zhang · James Diffenderfer · Bhavya Kailkhura · Lichao Sun · Elias Stengel-Eskin · Mohit Bansal · Tianlong Chen · Kaidi Xu

DevBench: A multimodal developmental benchmark for language learning

Alvin Tan · Chunhua Yu · Bria Long · Wanjing Ma · Tonya Murray · Rebecca Silverman · Jason Yeatman · Michael C Frank

How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?

Jun Chen · Hong Chen · Bin Gu

Learning Social Welfare Functions

Kanad Pardeshi · Itai Shapira · Ariel Procaccia · Aarti Singh

Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality

Marko Medvedev · Gal Vardi · Nati Srebro

Credal Learning Theory

Michele Caprio · Maryam Sultana · Eleni Elia · Fabio Cuzzolin

Contextual Decision-Making with Knapsacks Beyond the Worst Case

Zhaohua Chen · Rui Ai · Mingwei Yang · Yuqi Pan · Chang Wang · Xiaotie Deng

On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability

Chenyu Zheng · Wei Huang · Rongzhen Wang · Guoqiang Wu · Jun Zhu · Chongxuan LI

Data subsampling for Poisson regression with pth-root-link

Han Cheng Lie · Alexander Munteanu

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting

Romain Ilbert · Malik Tiomoko · Cosme Louart · Ambroise Odonnat · Vasilii Feofanov · Themis Palpanas · Ievgen Redko

Language Generation in the Limit

Jon Kleinberg · Sendhil Mullainathan

A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems

Mohammad-Amin Charusaie · Samira Samadi

The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems

Xiyuan Li · Youjun Wang · Weiwei Liu

Accelerating ERM for data-driven algorithm design using output-sensitive techniques

Maria-Florina Balcan · Christopher Seiler · Dravyansh Sharma

Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut

Hongyu Cheng · Sammy Khalife · Barbara Fiedorowicz · Amitabh Basu

Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization

Omar Montasser · Han Shao · Emmanuel Abbe

Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity

Qian Yu · Yining Wang · Baihe Huang · Qi Lei · Jason Lee

Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD

Jie Hu · Yi-Ting Ma · Do-Young Eun

A Universal Growth Rate for Learning with Smooth Surrogate Losses

Anqi Mao · Mehryar Mohri · Yutao Zhong

Least Squares Regression Can Exhibit Under-Parameterized Double Descent

Xinyue Li · Rishi Sonthalia

Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?

Francesco Innocenti · El Mehdi Achour · Ryan Singh · Christopher L Buckley

Transductive Learning is Compact

Julian Asilis · Siddartha Devic · Shaddin Dughmi · Vatsal Sharan · Shang-Hua Teng

Prospective Learning: Learning for a Dynamic Future

Ashwin De Silva · Rahul Ramesh · Rubing Yang · Siyu Yu · Joshua T Vogelstein · Pratik Chaudhari

Optimal Hypothesis Selection in (Almost) Linear Time

Maryam Aliakbarpour · Mark Bun · Adam Smith

Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

Marc Wanner · Laura Lewis · Chiranjib Bhattacharyya · Devdatt Dubhashi · Alexandru Gheorghiu

Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models

Weihang Xu · Maryam Fazel · Simon Du

Optimal Clustering with Bandit Feedback

Junwen Yang · Zixin Zhong · Vincent Tan

Queueing Matching Bandits with Preference Feedback

Jung-hun Kim · Min-hwan Oh

WATT: Weight Average Test Time Adaptation of CLIP

David OSOWIECHI · Mehrdad Noori · Gustavo Vargas Hakim · Moslem Yazdanpanah · Ali Bahri · Milad Cheraghalikhani · Sahar Dastani · Farzad Beizaee · Ismail Ayed · Christian Desrosiers

Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs

Yuval Filmus · Steve Hanneke · Idan Mehalel · Shay Moran

Dealing with Synthetic Data Contamination in Online Continual Learning

Maorong Wang · Nicolas MICHEL · Jiafeng Mao · Toshihiko Yamasaki

Barely Random Algorithms and Collective Metrical Task Systems

Romain Cosson · Laurent Massoulié

Online Adaptation of Language Models with a Memory of Amortized Contexts

Jihoon Tack · Jaehyung Kim · Eric Mitchell · Jinwoo Shin · Yee Whye Teh · Jonathan Richard Schwarz

Bandits with Ranking Feedback

Davide Maran · Francesco Bacchiocchi · Francesco Emanuele Stradi · Matteo Castiglioni · Nicola Gatti · Marcello Restelli

Improved Regret for Bandit Convex Optimization with Delayed Feedback

Yuanyu Wan · Chang Yao · Mingli Song · Lijun Zhang

Invariant subspaces and PCA in nearly matrix multiplication time

Aleksandros Sobczyk · Marko Mladenovic · Mathieu Luisier

MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence

Ionut-Vlad Modoranu · Mher Safaryan · Grigory Malinovsky · Eldar Kurtić · Thomas Robert · Peter Richtarik · Dan Alistarh

Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Frederik Kunstner · Alan Milligan · Robin Yadav · Mark Schmidt · Alberto Bietti

Parameter-free Clipped Gradient Descent Meets Polyak

Yuki Takezawa · Han Bao · Ryoma Sato · Kenta Niwa · Makoto Yamada

SAMPa: Sharpness-aware Minimization Parallelized

Wanyun Xie · Thomas Pethick · Volkan Cevher

Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters

Yifei Xia · Fangcheng Fu · Wentao Zhang · Jiawei Jiang · Bin CUI

Hyperbolic Embeddings of Supervised Models

Richard Nock · Ehsan Amid · Frank Nielsen · Alexander Soen · Manfred Warmuth

Optimal Scalarizations for Sublinear Hypervolume Regret

Qiuyi (Richard) Zhang

Accelerating Non-Maximum Suppression: A Graph Theory Perspective

King-Siong Si · Lu Sun · Weizhan Zhang · Tieliang Gong · Jiahao Wang · Jiang Liu · Hao Sun

Universal Online Convex Optimization with $1$ Projection per Round

Wenhao Yang · Yibo Wang · Peng Zhao · Lijun Zhang

Stochastic Newton Proximal Extragradient Method

Ruichen Jiang · Michal Derezinski · Aryan Mokhtari

Mixture of Experts Meets Prompt-Based Continual Learning

Minh Le · An Nguyen The · Huy Nguyen · Trang Nguyen · Trang Pham · Linh Ngo · Nhat Ho

Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks

Felix Dangel · Johannes Müller · Marius Zeinhofer

Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling

Junyi Li · Heng Huang

A Framework for Bilevel Optimization on Riemannian Manifolds

Andi Han · Bamdev Mishra · Pratik Kumar Jawanpuria · Akiko Takeda

Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization

Qianli Shen · Yezhen Wang · Zhouhao Yang · Xiang Li · Haonan Wang · Yang Zhang · Jonathan Scarlett · Zhanxing Zhu · Kenji Kawaguchi

Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport

Zihao Tang · Yixuan Qiu

Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence

Feng-Yi Liao · Lijun Ding · Yang Zheng

Directional Smoothness and Gradient Methods: Convergence and Adaptivity

Aaron Mishkin · Ahmed Khaled · Yuanhao Wang · Aaron Defazio · Robert Gower

Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction

Anton Rodomanov · Xiaowen Jiang · Sebastian Stich

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Haoran Ye · Jiarui Wang · Zhiguang Cao · Federico Berto · Chuanbo Hua · HAEYEON KIM · Jinkyoo Park · Guojie Song

Learning Cut Generating Functions for Integer Programming

Hongyu Cheng · Amitabh Basu

Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization

Yixin Chen · Ankur Nath · Chunli Peng · Alan Kuhnle

Neur2BiLO: Neural Bilevel Optimization

Justin Dumouchelle · Esther Julien · Jannis Kurtz · Elias Khalil

Self-Labeling the Job Shop Scheduling Problem

Andrea Corsini · Angelo Porrello · SIMONE CALDERARA · Mauro Dell'Amico

OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations

Yao Shu · Jiongfeng Fang · Ying He · Fei Yu

Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity

Kaja Gruntkowska · Alexander Tyurin · Peter Richtarik

Pipeline Parallelism with Controllable Memory

Penghui Qi · Xinyi Wan · Nyamdavaa Amar · Min Lin

LoQT: Low-Rank Adapters for Quantized Pretraining

Sebastian Loeschcke · Mads Toftrup · Michael Kastoryano · Serge Belongie · Vésteinn Snæbjarnarson

Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization

Ilya Kuruzov · Gesualdo Scutari · Alexander Gasnikov

Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability

Ming Xiang · Stratis Ioannidis · Edmund Yeh · Carlee Joe-Wong · Lili Su

Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach

Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong

Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models

Hanxiao Zhang · Lin JU · Chan Wu · Jinjing Huang · Youshao Xiao · Zhenglei Zhou · Zhiming fan · Zhaoxin Huan · Siyuan Li · Fanzhuang Meng · Lei Liang · Xiaolu Zhang · Jun Zhou

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization

Yang Li · Jinpei Guo · Runzhong Wang · Hongyuan Zha · Junchi Yan

Efficient Combinatorial Optimization via Heat Diffusion

Hengyuan Ma · Wenlian Lu · Jianfeng Feng

LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation

Bowen Li · Zhaoyu Li · Qiwei Du · Jinqi Luo · Wenshan Wang · Yaqi Xie · Simon Stepputtis · Chen Wang · Katia Sycara · Pradeep Ravikumar · Alexander Gray · Xujie Si · Sebastian Scherer

ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate

Shohei Taniguchi · Keno Harada · Gouki Minegishi · Yuta Oshima · Seong Cheol Jeong · Go Nagahara · Tomoshi Iiyama · Masahiro Suzuki · Yusuke Iwasawa · Yutaka Matsuo

Optimization Can Learn Johnson Lindenstrauss Embeddings

Nikos Tsikouras · Constantine Caramanis · Christos Tzamos

Generative Adversarial Model-Based Optimization via Source Critic Regularization

Michael Yao · Yimeng Zeng · Hamsa Bastani · Jacob Gardner · James Gee · Osbert Bastani

Disentangling Linear Quadratic Control with Untrusted ML Predictions

Tongxin Li · Hao Liu · Yisong Yue

Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss

Qiang LI · Hoi-To Wai

Contextual Linear Optimization with Bandit Feedback

Yichun Hu · Nathan Kallus · Xiaojie Mao · Yanchen Wu

Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications

Weixin An · Yuanyuan Liu · Fanhua Shang · Hongying Liu

How to Boost Any Loss Function

Richard Nock · Yishay Mansour

Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques

Cuong Dao · Phi Le Nguyen · Truong Thao Nguyen · Nghia Hoang

Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling

Skyler Wu · Fred Lu · Edward Raff · James Holt

Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model

Jing Zhang · Linjiajie Fang · Kexin SHI · Wenjia Wang · Bingyi Jing

SPEAR: Exact Gradient Inversion of Batches in Federated Learning

Dimitar I. Dimitrov · Maximilian Baader · Mark Müller · Martin Vechev

Public-data Assisted Private Stochastic Optimization: Power and Limitations

Enayat Ullah · Michael Menart · Raef Bassily · Cristóbal Guzmán · Raman Arora

Attack-Aware Noise Calibration for Differential Privacy

Bogdan Kulynych · Juan Gomez · Georgios Kaissis · Flavio Calmon · Carmela Troncoso

Certified Machine Unlearning via Noisy Stochastic Gradient Descent

Eli Chien · Haoyu Wang · Ziang Chen · Pan Li

Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning

Hao WU · Hanwen Zhang

On the Computational Complexity of Private High-dimensional Model Selection

Saptarshi Roy · Zehua Wang · Ambuj Tewari

Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach

Hanyang Yuan · Jiarong Xu · Renhong Huang · Mingli Song · Chunping Wang · YANG YANG

Banded Square Root Matrix Factorization for Differentially Private Model Training

Kalinin Nikita · Christoph Lampert

Scalable DP-SGD: Shuffling vs. Poisson Subsampling

Lynn Chua · Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Amer Sinha · Chiyuan Zhang

Revisiting Differentially Private ReLU Regression

Meng Ding · Mingxi Lei · Liyang Zhu · Shaowei Wang · Di Wang · Jinhui Xu

Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation

Shreyas Chaudhari · Ameet Deshpande · Bruno C. da Silva · Philip Thomas

Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction

Seokin Seo · Byung-Jun Lee · Jongmin Lee · HyeongJoo Hwang · Hongseok Yang · Kee-Eung Kim

Is Value Learning Really the Main Bottleneck in Offline RL?

Seohong Park · Kevin Frans · Sergey Levine · Aviral Kumar

QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers

Haozhe Chen · Ang Li · Ethan Che · Jing Dong · Tianyi Peng · Hongseok Namkoong

CALE: Continuous Arcade Learning Environment

Jesse Farebrother · Pablo Samuel Castro

A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations

Wonil Song · Hyesong Choi · Kwanghoon Sohn · Dongbo Min

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Jialong Wu · Shaofeng Yin · Ningya Feng · Xu He · Dong Li · Jianye Hao · Mingsheng Long

First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs

Ben Norman · Jeff Clune

Distributional Reinforcement Learning with Regularized Wasserstein Loss

Ke Sun · Yingnan Zhao · Wulong Liu · Bei Jiang · Linglong Kong

Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning

Xuehui Yu · Mhairi Dunion · Xin Li · Stefano Albrecht

State Chrono Representation for Enhancing Generalization in Reinforcement Learning

Jianda Chen · Wen zheng terence Ng · Zichen Chen · Sinno Pan · Tianwei Zhang

Learning Distinguishable Trajectory Representation with Contrastive Loss

Tianxu Li · Kun Zhu · Juan Li · Yang Zhang

Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning

Hao-Lun Hsu · Weixin Wang · Miroslav Pajic · Pan Xu

Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners

Rujikorn Charakorn · Poramate Manoonpong · Nat Dilokthanakul

Sample-Efficient Constrained Reinforcement Learning with General Parameterization

Washim Mondal · Vaneet Aggarwal

Learning Successor Features the Simple Way

Raymond Chua · Arna Ghosh · Christos Kaplanis · Blake Richards · Doina Precup

Reproducibility study of FairAC

Gijs de Jong · Macha Meijer · Derck Prinzhorn · Harold Ruiter

Safety through feedback in Constrained RL

Shashank Reddy Chirra · Pradeep Varakantham · Praveen Paruchuri

Adversarially Robust Decision Transformer

Xiaohang Tang · Afonso Marques · Parameswaran Kamalaruban · Ilija Bogunovic

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Shutong Ding · Ke Hu · Zhenhao Zhang · Kan Ren · Weinan Zhang · Jingyi Yu · Jingya Wang · Ye Shi

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning

Chengyang Ying · Hao Zhongkai · Xinning Zhou · Xuezhou Xu · Hang Su · Xingxing Zhang · Jun Zhu

Model-Based Transfer Learning for Contextual Reinforcement Learning

Jung-Hoon Cho · Vindula Jayawardana · Sirui Li · Cathy Wu

Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication

Huao Li · Hossein Nourkhiz Mahjoub · Behdad Chalaki · Vaishnav Tadiparthi · Kwonjoon Lee · Ehsan Moradi Pari · Charles Lewis · Katia Sycara

Policy Improvement using Language Feedback Models

Victor Zhong · Dipendra Misra · Xingdi Yuan · Marc-Alexandre Côté

Few-Shot Task Learning through Inverse Generative Modeling

Aviv Netanyahu · Yilun Du · Antonia Bronars · Jyothish Pari · Josh Tenenbaum · Tianmin Shu · Pulkit Agrawal

Imitating Language via Scalable Inverse Reinforcement Learning

Markus Wulfmeier · Michael Bloesch · Nino Vieillard · Arun Ahuja · Jorg Bornschein · Sandy Huang · Artem Sokolov · Matt Barnes · Guillaume Desjardins · Alex Bewley · Sarah Bechtle · Jost Springenberg · Nikola Momchev · Olivier Bachem · Matthieu Geist · Martin Riedmiller

Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Dylan J Foster · Adam Block · Dipendra Misra

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Nicola Dainese · Matteo Merler · Minttu Alakuijala · Pekka Marttinen

Adaptive Exploration for Data-Efficient General Value Function Evaluations

Arushi Jain · Josiah Hanna · Doina Precup

Finding good policies in average-reward Markov Decision Processes without prior knowledge

Adrienne Tuynman · Rémy Degenne · Emilie Kaufmann

Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning

Junyan Liu · Yunfan Li · Ruosong Wang · Lin Yang

Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model

Mark Rowland · Kevin Li · Remi Munos · Clare Lyle · Yunhao Tang · Will Dabney

Oracle-Efficient Reinforcement Learning for Max Value Ensembles

Marcel Hussing · Michael Kearns · Aaron Roth · Sikata Sengupta · Jessica Sorrell

Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems

Haozhe Tian · Homayoun Hamedmoghadam · Robert Shorten · Pietro Ferraro

Simplifying Constraint Inference with Inverse Reinforcement Learning

Adriana Hugessen · Harley Wiltzer · Glen Berseth

Efficient Discrepancy Testing for Learning with Distribution Shift

Gautam Chandrasekaran · Adam Klivans · Vasilis Kontonis · Konstantinos Stavropoulos · Arsen Vasilyan

Persistent Test-time Adaptation in Recurring Testing Scenarios

Trung Hieu Hoang · MinhDuc Vo · Minh Do

One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation

Kai Hu · JinHao Li · Yuan Zhang · Xiongjun Ye · Xieping Gao

Universality in Transfer Learning for Linear Models

Reza Ghane · Danil Akhtiamov · Babak Hassibi

Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism

Ronast Subedi · Lu Wei · Wenhan Gao · Shayok Chakraborty · Yi Liu

Gated Inference Network: Inference and Learning State-Space Models

Hamidreza Hashempoorikderi · Wan Choi

Text-Aware Diffusion for Policy Learning

Calvin Luo · Mandy He · Zilai Zeng · Chen Sun

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation

Yihong Guo · Yixuan Wang · Yuanyuan Shi · Pan Xu · Anqi Liu

Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity

Vahid Balazadeh · Keertana Chidambaram · Viet Nguyen · Rahul Krishnan · Vasilis Syrgkanis

Opponent Modeling with In-context Search

Yuheng Jing · Bingyun Liu · Kai Li · Yifan Zang · Haobo Fu · Qiang Fu · Junliang Xing · Jian Cheng

NeoRL: Efficient Exploration for Nonepisodic RL

Bhavya · Lenart Treven · Florian Dorfler · Stelian Coros · Andreas Krause

On Tractable $\Phi$-Equilibria in Non-Concave Games

Yang Cai · Constantinos Daskalakis · Haipeng Luo · Chen-Yu Wei · Weiqiang Zheng

Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games

Ahmed Dönmez · Yüksel Arslantaş · Muhammed Sayin

The Secretary Problem with Predicted Additive Gap

Alexander Braun · Sherry Sarkar

Paths to Equilibrium in Games

Bora Yongacoglu · Gurdal Arslan · Lacra Pavel · Serdar Yuksel

Safe Exploitative Play with Untrusted Type Beliefs

Tongxin Li · Tinashe Handina · Shaolei Ren · Adam Wierman

Randomized Truthful Auctions with Learning Agents

Gagan Aggarwal · Anupam Gupta · Andres Perlroth · Grigoris Velegkas

Fair Allocation in Dynamic Mechanism Design

Alireza Fallah · Michael Jordan · Annie Ulichney

Accelerated Regularized Learning in Finite N-Person Games

Kyriakos Lotidis · Angeliki Giannou · Panayotis Mertikopoulos · Nicholas Bambos

DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation

Felipe Garrido Lucero · Benjamin Heymann · Maxime Vono · Patrick Loiseau · Vianney Perchet

Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning

Sergey Samsonov · Eric Moulines · Qi-Man Shao · Zhuo-Song Zhang · Alexey Naumov

Constrained Binary Decision Making

Daniel Průša · Vojtech Franc

Bandits with Abstention under Expert Advice

Stephen Pasteris · Alberto Rumi · Maximilian Thiessen · Shota Saito · Atsushi Miyauchi · Fabio Vitale · Mark Herbster

No Free Delivery Service: Epistemic limits of passive data collection in complex social systems

Maximilian Nickel

The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective

Pascal Bergsträßer · Chris Köcher · Anthony Lin · Georg Zetzsche

Fixed points of nonnegative neural networks

Tomasz J. Piotrowski · Renato L. G. Cavalcante · Mateusz Gabor

Oja's Algorithm for Streaming Sparse PCA

Syamantak Kumar · Purnamrita Sarkar

Diffusion-based Curriculum Reinforcement Learning

Erdi Sayar · Giovanni Iacca · Ozgur S. Oguz · Alois Knoll

The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure

Tyler Sam · Yudong Chen · Christina Yu

Operator World Models for Reinforcement Learning

Pietro Novelli · Marco Pratticò · Massimiliano Pontil · Carlo Ciliberto

A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch

Yue Wang · Zhongchang Sun · Shaofeng Zou

Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability

Volodymyr Tkachuk · Gellert Weisz · Csaba Szepesvari

Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem

Fivos Kalogiannis · Jingming Yan · Ioannis Panageas

EffiBench: Benchmarking the Efficiency of Automatically Generated Code

Dong HUANG · Yuhao QING · Weiyi Shang · Heming Cui · Jie Zhang

$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild

Xinyu Zhao · Guoheng Sun · Ruisi Cai · Yukun Zhou · Pingzhi Li · Peihao Wang · Bowen Tan · Yexiao He · Li Chen · Yi Liang · Beidi Chen · Binhang Yuan · Hongyi Wang · Ang Li · Zhangyang "Atlas" Wang · Tianlong Chen

Score-Optimal Diffusion Schedules

Christopher Williams · Andrew Campbell · Arnaud Doucet · Saifuddin Syed

Optimal Batched Best Arm Identification

Tianyuan Jin · Yu Yang · Jing Tang · Xiaokui Xiao · Pan Xu

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Zixiang Chen · Huizhuo Yuan · Yongqian Li · Yiwen Kou · Junkai Zhang · Quanquan Gu

BackTime: Backdoor Attacks on Multivariate Time Series Forecasting

Xiao Lin · Zhining Liu · Dongqi Fu · Ruizhong Qiu · Hanghang Tong

Mixtures of Experts for Audio-Visual Learning

Ying Cheng · Yang Li · Junjie He · Rui Feng

SGLang: Efficient Execution of Structured Language Model Programs

Lianmin Zheng · Liangsheng Yin · Zhiqiang Xie · Chuyue (Livia) Sun · Jeff Huang · Cody Hao Yu · Shiyi Cao · Christos Kozyrakis · Ion Stoica · Joseph Gonzalez · Clark Barrett · Ying Sheng

Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources

Jiamu Bai · Daoyuan Chen · Bingchen Qian · Liuyi Yao · Yaliang Li

Amortizing intractable inference in diffusion models for vision, language, and control

Siddarth Venkatraman · Moksh Jain · Luca Scimeca · Minsu Kim · Marcin Sendera · Mohsin Hasan · Luke Rowe · Sarthak Mittal · Pablo Lemos · Emmanuel Bengio · Alexandre Adam · Jarrid Rector-Brooks · Yoshua Bengio · Glen Berseth · Nikolay Malkin

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Sriyash Poddar · Yanming Wan · Hamish Ivison · Abhishek Gupta · Natasha Jaques

MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model

Chaoya Jiang · Hongrui Jia · Haiyang Xu · Wei Ye · Mengfan Dong · Ming Yan · Ji Zhang · Fei Huang · Shikun Zhang

LeDex: Training LLMs to Better Self-Debug and Explain Code

Nan Jiang · Xiaopeng Li · Shiqi Wang · Qiang Zhou · Soneya Hossain · Baishakhi Ray · Varun Kumar · Xiaofei Ma · Anoop Deoras

Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization

Kai Hu · Weichen Yu · Yining Li · Tianjun Yao · Xiang Li · Wenhe Liu · Lijun Yu · Zhiqiang Shen · Kai Chen · Matt Fredrikson

VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections

Roy Miles · Pradyumna Reddy · Ismail Elezi · Jiankang Deng

Easy Regional Contrastive Learning of Expressive Fashion Representations

Daiqing Qi · Handong Zhao · Sheng Li

Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps

Nikita Starodubcev · Mikhail Khoroshikh · Artem Babenko · Dmitry Baranchuk

Robust Sparse Regression with Non-Isotropic Designs

Chih-Hung Liu · Gleb Novikov

IPO: Interpretable Prompt Optimization for Vision-Language Models

Yingjun Du · Wenfang Sun · Cees Snoek

In-Context Learning with Representations: Contextual Generalization of Trained Transformers

Tong Yang · Yu Huang · Yingbin Liang · Yuejie Chi

Replicable Uniformity Testing

Sihan Liu · Christopher Ye

From Chaos to Clarity: 3DGS in the Dark

Zhihao Li · Yufei Wang · Alex Kot · Bihan Wen

Calibrated Self-Rewarding Vision Language Models

Yiyang Zhou · Zhiyuan Fan · Dongjie Cheng · Sihan Yang · Zhaorun Chen · Chenhang Cui · Xiyao Wang · Yun Li · Linjun Zhang · Huaxiu Yao

Persistence Homology Distillation for Semi-supervised Continual Learning

YanFan · Yu Wang · Pengfei Zhu · Dongyue Chen · Qinghua Hu

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning

Yiping Wang · Yifang Chen · Wendan Yan · Alex Fang · Wenjing Zhou · Kevin Jamieson · Simon Du

Mixture of Demonstrations for In-Context Learning

Song Wang · Zihan Chen · Chengshuai Shi · Cong Shen · Jundong Li

BendVLM: Test-Time Debiasing of Vision-Language Embeddings

Walter Gerych · Haoran Zhang · Kimia Hamidieh · Eileen Pan · Maanas K. Sharma · Tom Hartvigsen · Marzyeh Ghassemi

Learning Bregman Divergences with Application to Robustness

Mohamed-Hicham LEGHETTAS · Markus Püschel

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Learning Theory Alliance

Surbhi Goel · Nika Haghtalab · Gautam Kamath · Thodoris Lykouris · Vatsal Sharan · Ellen Vitercik · Lydia Zakynthinou

7:30 PM - 9:30 PM

The first part of this social event will feature an AMA session with Misha Belkin, who will discuss “Theory Research in the Era of LLMs.” The second part will allow for free time to socialize with community members and other participants. Mentors will be available to answer questions and share their insights.

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AI and Faith, and Human Agency

Correna Panagiotou · Mahdi Ghaznavi · Muhammad Aurangzeb Ahmad · Mark Graves · Marcus Schwarting · Nathan Gaw · Qiuyi (Richard) Zhang

7:30 PM - 9:30 PM

We aim to bring together diverse perspectives on AI's impact, starting with its ethical and social implications. This event explores two key perspectives: the role of faith in engaging with AI's ethical dimensions and the effect of AI on human agency. We’ll discuss how autonomous technologies reshape agency and how people of faith can contribute unique insights. Join us in a dialogue focused on aligning AI with values that respect both human-centered agency and faith-driven perspectives.

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Founders & Friends: Building an AI Startup

Vijay Reddy · Animesh Garg · Ankur Kalra · Sarah Andrews

7:30 PM - 9:30 PM

"Founders & Friends: Building an AI Startup" is an event designed to help you meet mentors, collaborators, and friends who can support you on your entrepreneurial path. Learn from a top-notch panel of researchers who have successfully commercialized their research, as well as a panel of investors who believe in the impact of investing in cutting-edge research technology. Walk away with a few new friends, inspiring ideas, some helpful resources, and enthusiasm to fuel you on your own journey.

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Space and AI

Anne Spalding · Gabriel Sutherland · Alexander Lavin

7:30 PM - 9:30 PM

"FDL is hosting an informative and entertaining evening exploring the opportunities for state-of-the-art AI research in Heliophysics, planetary science and climate change. Connect with individuals who are passionate about the potential of AI in Space. We'll have fun games, lightning talks, and a hands-on team challenge to build an AI that solves the trust, safety and ethics questions in innovative ways (prizes)! Join us to relax, laugh, dream big, exchange ideas and build new friendships. "

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Affinity Event

Bridging the Future

Sanmi Koyejo · Ching Lam Choi · Judy Hanwen Shen · Michelle L Brown · Andrea Delgado-Olson · Susanna Raj · Sudha Jamthe · Bello Tukur

7:30 PM - 8:50 PM

What is Bridging the Future?

The Neural Information Processing Systems Foundation solicited proposals in 2023 to support broadening participation activities in Artificial Intelligence and Machine Learning. Activities were geared toward any age group or educational level, from grade school to senior faculty. Of particular interest are workshops, programs, and web-based materials aimed at improving the training of young researchers. Activities with the potential for broadening representation and inclusion in the field, high impact, and reach are prioritized, as will activities that can demonstrate alignment with the goals of the Neural Information Processing Systems Foundation. Funding amounts may vary depending on goals and potential impact, with a target maximum of $$50,000.

When is Bridging the Future?

Three applications were granted: Indigenous AI, WiML, and Global South AI. They will be presenting their work on Thursday, December 12 at 7:30 pm in room East MR 16. Join us to learn about their ongoing project to better support their communities and the world.
Light snacks and drinks will be served.

We will list the speakers and titles and start time for each group when we have more information.

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