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7:30 AM - 6:00 PM
Invited Talk
8:30 AM - 9:30 AM

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Humans learn though interaction and interact to learn. Automating highly dextreous tasks such as food handling, garment sorting, or assistive dressing relies on advances in mathematical modeling, perception, planning, control, to name a few. The advances in data-driven approaches, with the development of better simulation tools, allows for addressing these through systematic benchmarking of relevant methods. This can provide better understanding of what theoretical developments need to be made and how practical systems can be implemented and evaluated to provide flexible, scalable, and robust solutions. But are we solving the appropriate scientific problems and making the neccesarry step toward general solutions? This talk will showcase some of the challenges in developing physical interaction capabilities in robots, and overview our ongoing work on multimodal representation learning, latent space planning, learning physically-consistent reduced-order dynamics, visuomotor skill learning, and peak into our recent work on olfaction encoding.

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Speaker Bio
Danica Kragic
Danica Kragic is a Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. She received MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia in 1995 and PhD in Computer Science from KTH in 2001. She has been a visiting researcher at Columbia University, Johns Hopkins University and INRIA Rennes. She is the Director of the Centre for Autonomous Systems. Danica received the 2007 IEEE Robotics and Automation Society Early Academic Career Award. She is a member of the Royal Swedish Academy of Sciences, Royal Swedish Academy of Engineering Sciences and Founding member of Young Academy of Sweden. She holds a Honorary Doctorate from the Lappeenranta University of Technology and Technical Univeristy of Rijeka. Her research is in the area of robotics, computer vision and machine learning. She received an ERC Starting and ERC Advanced grants and a Distinguished Professor Grant from the Swedish research Council. Her research is supported by the Knut and Alice Wallenberg Foundation, Swedish Foundation for Strategic Research, EU and Swedish Research Council. She is an IEEE Fellow.
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9:00 AM - 5:00 PM
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9:00 AM - 5:00 PM
Oral
10:00 AM - 11:00 AM
3 Events in this session
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
Zhongchao Yi · Zhengyang Zhou · Qihe Huang · Yanjiang Chen · Liheng Yu · Xu Wang · Yang Wang
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
Zekun Shi · Zheyuan Hu · Min Lin · Kenji Kawaguchi
Learning Formal Mathematics From Intrinsic Motivation
Gabriel Poesia · David Broman · Nick Haber · Noah Goodman
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Oral
10:00 AM - 11:00 AM
3 Events in this session
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
Dongxiao He · Lianze Shan · Jitao Zhao · Hengrui Zhang · Zhen Wang · Weixiong Zhang
Do Finetti: On Causal Effects for Exchangeable Data
Siyuan Guo · Chi Zhang · Karthika Mohan · Ferenc Huszar · Bernhard Schölkopf
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
Feng Xie · Zhen Yao · Lin Xie · Yan Zeng · Zhi Geng
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Oral
10:00 AM - 11:00 AM
3 Events in this session
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
Yulia Rubanova · Tatiana Lopez-Guevara · Kelsey Allen · Will Whitney · Kimberly Stachenfeld · Tobias Pfaff
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
Raffaele Paolino · Sohir Maskey · Pascal Welke · Gitta Kutyniok
Scale Equivariant Graph Metanetworks
Ioannis Kalogeropoulos · Giorgos Bouritsas · Yannis Panagakis
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Oral
10:00 AM - 11:00 AM
3 Events in this session
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
Haonan Lin · Wenbin An · Jiahao Wang · Yan Chen · Feng Tian · Mengmeng Wang · QianYing Wang · Guang Dai · Jingdong Wang
Convolutional Differentiable Logic Gate Networks
Felix Petersen · Hilde Kuehne · Christian Borgelt · Julian Welzel · Stefano Ermon
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Peter Tong · Ellis Brown · Penghao Wu · Sanghyun Woo · Adithya Jairam Vedagiri IYER · Sai Charitha Akula · Shusheng Yang · Jihan Yang · Manoj Middepogu · Ziteng Wang · Xichen Pan · Rob Fergus · Yann LeCun · Saining Xie
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Poster
11:00 AM - 2:00 PM
253 Events in this session
Do Finetti: On Causal Effects for Exchangeable Data
Siyuan Guo · Chi Zhang · Karthika Mohan · Ferenc Huszar · Bernhard Schölkopf
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
Yuanyuan Wang · Biwei Huang · Wei Huang · Xi Geng · Mingming Gong
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
Mohammad Shahverdikondori · Ehsan Mokhtarian · Negar Kiyavash
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
Feng Xie · Zhen Yao · Lin Xie · Yan Zeng · Zhi Geng
Detecting and Measuring Confounding Using Causal Mechanism Shifts
Abbavaram Gowtham Reddy · Vineeth N Balasubramanian
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Miruna Oprescu · Nathan Kallus
Identifying Selections for Unsupervised Subtask Discovery
Yiwen Qiu · Yujia Zheng · Kun Zhang
Causal Effect Identification in a Sub-Population with Latent Variables
Amir Mohammad Abouei · Ehsan Mokhtarian · Negar Kiyavash · Matthias Grossglauser
On Causal Discovery in the Presence of Deterministic Relations
Loka Li · Haoyue Dai · Hanin Al Ghothani · Biwei Huang · Jiji Zhang · Shahar Harel · Isaac Bentwich · Guangyi Chen · Kun Zhang
Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding
Alexis Bellot · Silvia Chiappa
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
Linyi Li · Shijie Geng · Zhenwen Li · Yibo He · Hao Yu · Ziyue Hua · Guanghan Ning · Siwei Wang · Tao Xie · Hongxia Yang
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
Yilun Jin · Zheng Li · Chenwei Zhang · Tianyu Cao · Yifan Gao · Pratik Jayarao · Mao Li · Xin Liu · Ritesh Sarkhel · Xianfeng Tang · Haodong Wang · Zhengyang Wang · Wenju Xu · Jingfeng Yang · Qingyu Yin · Xian Li · Priyanka Nigam · Yi Xu · Kai Chen · Qiang Yang · Meng Jiang · Bing Yin
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
George Tsoukalas · Jasper Lee · John Jennings · Jimmy Xin · Michelle Ding · Michael Jennings · Amitayush Thakur · Swarat Chaudhuri
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
Zahra Gharaee · Scott C. Lowe · ZeMing Gong · Pablo Millan Arias · Nicholas Pellegrino · Austin T. Wang · Joakim Bruslund Haurum · Iuliia Eyriay · Lila Kari · Dirk Steinke · Graham Taylor · Paul Fieguth · Angel Chang
ReMI: A Dataset for Reasoning with Multiple Images
Mehran Kazemi · Nishanth Dikkala · Ankit Anand · Petar Devic · Ishita Dasgupta · Fangyu Liu · Bahare Fatemi · Pranjal Awasthi · Sreenivas Gollapudi · Dee Guo · Ahmed Qureshi
IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs
Patrick Tser Jern Kon · Jiachen Liu · Yiming Qiu · Weijun Fan · Ting He · Lei Lin · Haoran Zhang · Owen Park · George Elengikal · Yuxin Kang · Ang Chen · Mosharaf Chowdhury · Myungjin Lee · Xinyu Wang
Building Timeseries Dataset: Empowering Large-Scale Building Analytics
Arian Prabowo · Xiachong LIN · Imran Razzak · Hao Xue · Emily Yap · Matthew Amos · Flora Salim
OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking
Haiji Liang · Ruize Han
Beyond Aesthetics: Cultural Competence in Text-to-Image Models
Nithish Kannen Senthilkumar · Arif Ahmad · Marco Andreetto · Vinodkumar Prabhakaran · Utsav Prabhu · Adji Bousso Dieng · Pushpak Bhattacharyya · Shachi Dave
StackEval: Benchmarking LLMs in Coding Assistance
Nidhish Shah · Zulkuf Genc · Dogu Araci
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS
Ashwin Sankar · Srija Anand · Praveen Varadhan · Sherry Thomas · Mehak Singal · Shridhar Kumar · Deovrat Mehendale · Aditi Krishana · Giri Raju · Mitesh Khapra
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
Lemei Zhang · Peng Liu · Marcus Henriksboe · Even Lauvrak · Jon Atle Gulla · Heri Ramampiaro
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
Viswanath Sivakumar · Jeffrey Seely · Alan Du · Sean Bittner · Adam Berenzweig · Anuoluwapo Bolarinwa · Alex Gramfort · Michael Mandel
Is Function Similarity Over-Engineered? Building a Benchmark
Rebecca Saul · Chang Liu · Noah Fleischmann · Richard Zak · Kristopher Micinski · Edward Raff · James Holt
SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models
Nicholas Dronen · Bardiya Akhbari · Manish Digambar Gawali
Multi-modal Situated Reasoning in 3D Scenes
Xiongkun Linghu · Jiangyong Huang · Xuesong Niu · Xiaojian (Shawn) Ma · Baoxiong Jia · Siyuan Huang
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
Jason Yang · Ariane Mora · Shengchao Liu · Bruce Wittmann · Animashree Anandkumar · Frances Arnold · Yisong Yue
DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments
Zeyu Wang · Xiyuxing Zhang · Ruotong Yu · Yuntao Wang · Kenneth Christofferson · Jingru Zhang · Alex Mariakakis · Yuanchun Shi
The iNaturalist Sounds Dataset
Mustafa Chasmai · Alexander Shepard · Subhransu Maji · Grant Van Horn
BertaQA: How Much Do Language Models Know About Local Culture?
Julen Etxaniz · Gorka Azkune · Aitor Soroa · Oier Lacalle · Mikel Artetxe
OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction
Hongbo Zhao · Lue Fan · Yuntao Chen · Haochen Wang · yuran Yang · Xiaojuan Jin · YIXIN ZHANG · GAOFENG MENG · ZHAO-XIANG ZHANG
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
Yunchao Liu · Ha Dong · Xin Wang · Rocco Moretti · Yu Wang · Zhaoqian Su · Jiawei Gu · Bobby Bodenheimer · Charles Weaver · Jens Meiler · Tyler Derr
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games
Fanqi Kong · Yizhe Huang · Song-Chun Zhu · Siyuan Qi · Xue Feng
EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes
Mason Hargrave · Alex Spaeth · Logan Grosenick
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
Pengkun Wang · Zhe Zhao · HaiBin Wen · Fanfu Wang · Binwu Wang · Qingfu Zhang · Yang Wang
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
Zirui Wang · Mengzhou Xia · Luxi He · Howard Chen · Yitao Liu · Richard Zhu · Kaiqu Liang · Xindi Wu · Haotian Liu · Sadhika Malladi · Chevalier · Sanjeev Arora · Danqi Chen
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
Peter Jansen · Marc-Alexandre Côté · Tushar Khot · Erin Bransom · Bhavana Dalvi Mishra · Bodhisattwa Prasad Majumder · Oyvind Tafjord · Peter Clark
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
Sasha Salter · Richard Warren · Collin Schlager · Adrian Spurr · Shangchen Han · Rohin Bhasin · Yujun Cai · Peter Walkington · Anuoluwapo Bolarinwa · Robert Wang · Nathan Danielson · Josh Merel · Eftychios Pnevmatikakis · Jesse Marshall
GTA: A Benchmark for General Tool Agents
Jize Wang · Ma Zerun · Yining Li · Songyang Zhang · Cailian Chen · Kai Chen · Xinyi Le
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Hao Zhongkai · Jiachen Yao · Chang Su · Hang Su · Ziao Wang · Fanzhi Lu · Zeyu Xia · Yichi Zhang · Songming Liu · Lu Lu · Jun Zhu
CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
Rohith Peddi · Shivvrat Arya · Bharath Challa · Likhitha Pallapothula · Akshay Vyas · Bhavya Gouripeddi · Qifan Zhang · Jikai Wang · Vasundhara Komaragiri · Eric Ragan · Nicholas Ruozzi · Yu Xiang · Vibhav Gogate
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
Marek Herde · Denis Huseljic · Lukas Rauch · Bernhard Sick
Copycats: the many lives of a publicly available medical imaging dataset
Amelia Jiménez-Sánchez · Natalia-Rozalia Avlona · Dovile Juodelyte · Théo Sourget · Caroline Vang-Larsen · Anna Rogers · Hubert Zając · Veronika Cheplygina
BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval
Imanol Miranda · Ander Salaberria · Eneko Agirre · Gorka Azkune
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
Prasenjit Karmakar · Swadhin Pradhan · Sandip Chakraborty
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
Austin Coursey · Junyi Ji · Marcos Quinones Grueiro · William Barbour · Yuhang Zhang · Tyler Derr · Gautam Biswas · Daniel Work
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
Jiawen Chen · Muqing Zhou · Wenrong Wu · Jinwei Zhang · Yun Li · Didong Li
RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation
Anton Antonov · Andrei Moskalenko · Denis Shepelev · Alexander Krapukhin · Konstantin Soshin · Anton Konushin · Vlad Shakhuro
CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
Emanuele Vivoli · Marco Bertini · Dimosthenis Karatzas
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
Dapeng Hu · Romy Luo · Jian Liang · Chuan Sheng Foo
Vocal Call Locator Benchmark (VCL) for localizing rodent vocalizations from multi-channel audio
Ralph Peterson · Aramis Tanelus · Christopher Ick · Bartul Mimica · Niegil Francis Muttath Joseph · Violet Ivan · Aman Choudhri · Annegret Falkner · Mala Murthy · David Schneider · Dan Sanes · Alex Williams
Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
David Castillo-Bolado · Joseph Davidson · Finlay Gray · Marek Rosa
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
Jio Oh · Soyeon Kim · Junseok Seo · Jindong Wang · Ruochen Xu · Xing Xie · Steven Whang
Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language
Suzanne Duncan · Gianna Leoni · Lee Steven · Keoni K Mahelona · Peter Lucas K Jones
Learning Versatile Skills with Curriculum Masking
Yao Tang · Zhihui Xie · Zichuan Lin · Deheng Ye · Shuai Li
Testably Learning Polynomial Threshold Functions
Lucas Slot · Stefan Tiegel · Manuel Wiedmer
Wide Two-Layer Networks can Learn from Adversarial Perturbations
Soichiro Kumano · Hiroshi Kera · Toshihiko Yamasaki
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Joachim Baumann · Celestine Mendler-Dünner
Improving Subgroup Robustness via Data Selection
Saachi Jain · Kimia Hamidieh · Kristian Georgiev · Andrew Ilyas · Marzyeh Ghassemi · Aleksander Madry
CultureLLM: Incorporating Cultural Differences into Large Language Models
Cheng Li · Mengzhuo Chen · Jindong Wang · Sunayana Sitaram · Xing Xie
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
Mehdi Yazdani-Jahromi · Ali Khodabandeh Yalabadi · Amirarsalan Rajabi · Aida Tayebi · Ivan Garibay · OZLEM GARIBAY
The Fairness-Quality Tradeoff in Clustering
Rashida Hakim · Ana-Andreea Stoica · Christos Papadimitriou · Mihalis Yannakakis
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff · Alexis Bellot · Amal Rannen-Triki · Alan Malek · Isabela Albuquerque · Arthur Gretton · Alexander D'Amour · Silvia Chiappa
Proportional Fairness in Clustering: A Social Choice Perspective
Leon Kellerhals · Jannik Peters
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics
Hanlin Zhu · Baihe Huang · Shaolun Zhang · Michael Jordan · Jiantao Jiao · Yuandong Tian · Stuart J Russell
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey
Kien Nguyen · Fengchun Qiao · Arthur Trembanis · Xi Peng
On the Efficiency of ERM in Feature Learning
Ayoub El Hanchi · Chris Maddison · Murat Erdogdu
TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
Wei Li · Hehe Fan · Yongkang Wong · Mohan Kankanhalli · Yi Yang
Fair Online Bilateral Trade
François Bachoc · Nicolò Cesa-Bianchi · Tom Cesari · Roberto Colomboni
Building a stable classifier with the inflated argmax
Jake Soloff · Rina Barber · Rebecca Willett
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
Yi-Shan Wu · Yijie Zhang · Badr-Eddine Cherief-Abdellatif · Yevgeny Seldin
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
Shuyao Li · Sushrut Karmalkar · Ilias Diakonikolas · Jelena Diakonikolas
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
Bikang Pan · Wei Huang · Ye Shi
On the Limitations of Fractal Dimension as a Measure of Generalization
Charlie Tan · Inés García-Redondo · Qiquan Wang · Michael Bronstein · Anthea Monod
Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness
Xiaoge Deng · Tao Sun · Shengwei Li · Dongsheng Li · Xicheng Lu
Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron
Christian Schmid · James M Murray
Online Learning with Sublinear Best-Action Queries
Matteo Russo · Andrea Celli · Riccardo Colini Baldeschi · Federico Fusco · Daniel Haimovich · Dima Karamshuk · Stefano Leonardi · Niek Tax
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
Zixian Yang · Xin Liu · Lei Ying
Multi-Label Learning with Stronger Consistency Guarantees
Anqi Mao · Mehryar Mohri · Yutao Zhong
Implicit Optimization Bias of Next-token Prediction in Linear Models
Christos Thrampoulidis
The Implicit Bias of Adam on Separable Data
Chenyang Zhang · Difan Zou · Yuan Cao
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
Haiquan Lu · Xiaotian Liu · Yefan Zhou · Qunli Li · Kurt Keutzer · Michael Mahoney · Yujun Yan · Huanrui Yang · Yaoqing Yang
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
Ziang Chen · Rong Ge
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt
How many classifiers do we need?
Hyunsuk Kim · Liam Hodgkinson · Ryan Theisen · Michael Mahoney
Improved Sample Complexity for Multiclass PAC Learning
Steve Hanneke · Shay Moran · Qian Zhang
Understanding the Gains from Repeated Self-Distillation
Divyansh Pareek · Simon Du · Sewoong Oh
Generalized Linear Bandits with Limited Adaptivity
Ayush Sawarni · Nirjhar Das · Siddharth Barman · Gaurav Sinha
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
Rui Ai · David Simchi-Levi · Feng Zhu
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
Artin Tajdini · Lalit Jain · Kevin Jamieson
Symmetric Linear Bandits with Hidden Symmetry
Phuong Nam Tran · The Anh Ta · Debmalya Mandal · Long Tran-Thanh
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
Rakshit Trivedi · Akbir Khan · Jesse Clifton · Lewis Hammond · Edgar Duenez-Guzman · Dipam Chakraborty · John Agapiou · Jayd Matyas · Sasha Vezhnevets · Barna Pásztor · Yunke Ao · Omar G. Younis · Jiawei Huang · Benjamin Swain · Haoyuan Qin · Deng · Ziwei Deng · Utku Erdoğanaras · Yue Zhao · Marko Tesic · Natasha Jaques · Jakob Foerster · Vincent Conitzer · José Hernández-Orallo · Dylan Hadfield-Menell · Joel Leibo
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
Stephen Pasteris · Chris Hicks · Vasilios Mavroudis · Mark Herbster
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
Ziyi Liu · Idan Attias · Dan Roy
Bandits with Preference Feedback: A Stackelberg Game Perspective
Barna Pásztor · Parnian Kassraie · Andreas Krause
Optimization Algorithm Design via Electric Circuits
Stephen Boyd · Tetiana Parshakova · Ernest Ryu · Jaewook J. Suh
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
Wenyu Du · Tongxu Luo · Zihan Qiu · Zeyu Huang · Yikang Shen · Reynold Cheng · Yike Guo · Jie Fu
Sparse maximal update parameterization: A holistic approach to sparse training dynamics
Nolan Dey · Shane Bergsma · Joel Hestness
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
Abdurakhmon Sadiev · Grigory Malinovsky · Eduard Gorbunov · Igor Sokolov · Ahmed Khaled · Konstantin Burlachenko · Peter Richtarik
A Bayesian Approach to Data Point Selection
XINNUO XU · Minyoung Kim · Royson Lee · Brais Martinez · Timothy Hospedales
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
Qian Chen · Tianjian Zhang · Linxin Yang · Qingyu Han · Akang Wang · Ruoyu Sun · Xiaodong Luo · Tsung-Hui Chang
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
Miria Feng · Zachary Frangella · Mert Pilanci
Scalable Kernel Inverse Optimization
Youyuan Long · Tolga Ok · Pedro Zattoni Scroccaro · Peyman Mohajerin Esfahani
The Power of Extrapolation in Federated Learning
Hanmin Li · Kirill Acharya · Peter Richtarik
Learning with Fitzpatrick Losses
Seta Rakotomandimby · Jean-Philippe Chancelier · Michel De Lara · Mathieu Blondel
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
Liuyuan Jiang · Quan Xiao · Victor Tenorio · Fernando Real-Rojas · Antonio G. Marques · Tianyi Chen
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
Shuchen Zhu · Boao Kong · Songtao Lu · Xinmeng Huang · Kun Yuan
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
Jincheng Cao · Ruichen Jiang · Erfan Yazdandoost Hamedani · Aryan Mokhtari
Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective
Xufeng Cai · Cheuk Yin Lin · Jelena Diakonikolas
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization
Ipsita Ghosh · Abiy Tasissa · Christian Kümmerle
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
Xiufeng Song · Xiao Guo · Jiache Zhang · Qirui Li · LEI BAI · Xiaoming Liu · Guangtao Zhai · Xiaohong Liu
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
Quanqi Hu · Qi Qi · Zhaosong Lu · Tianbao Yang
High-probability complexity bounds for stochastic non-convex minimax optimization
Yassine Laguel · Yasa Syed · Necdet Serhat Aybat · Mert Gurbuzbalaban
Sample-efficient Bayesian Optimisation Using Known Invariances
Theodore Brown · Alexandru Cioba · Ilija Bogunovic
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki · Atsushi Miyauchi · Francesco Bonchi · Wei Chen
Transition Constrained Bayesian Optimization via Markov Decision Processes
Jose Pablo Folch · Calvin Tsay · Robert Lee · Behrang Shafei · Weronika Ormaniec · Andreas Krause · Mark van der Wilk · Ruth Misener · Mojmir Mutny
Active Set Ordering
Quoc Phong Nguyen · Sunil Gupta · Svetha Venkatesh · Bryan Kian Hsiang Low · Patrick Jaillet
Bayesian Optimization of Functions over Node Subsets in Graphs
Huidong Liang · Xingchen Wan · Xiaowen Dong
Private Attribute Inference from Images with Vision-Language Models
Batuhan Tömekçe · Mark Vero · Robin Staab · Martin Vechev
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining
Mishaal Kazmi · Hadrien Lautraite · Alireza Akbari · Qiaoyue Tang · Mauricio Soroco · Tao Wang · Sébastien Gambs · Mathias Lécuyer
Universal Exact Compression of Differentially Private Mechanisms
Yanxiao Liu · Wei-Ning Chen · Ayfer Ozgur · Cheuk Ting Li
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
Pratiksha Thaker · Amrith Setlur · Steven Wu · Virginia Smith
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
Jialin Chen · Jan Eric Lenssen · Aosong Feng · Weihua Hu · Matthias Fey · Leandros Tassiulas · Jure Leskovec · Rex Ying
Exclusively Penalized Q-learning for Offline Reinforcement Learning
Junghyuk Yeom · Yonghyeon Jo · Jeongmo Kim · Sanghyeon Lee · Seungyul Han
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
Joseph Ortiz · Antoine Dedieu · Wolfgang Lehrach · J Swaroop Guntupalli · Carter Wendelken · Ahmad Humayun · Sivaramakrishnan Swaminathan · Guangyao Zhou · Miguel Lazaro-Gredilla · Kevin Murphy
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
Xinwei Zhang · Zhiqi Bu · Mingyi Hong · Meisam Razaviyayn
Differentially Private Equivalence Testing for Continuous Distributions and Applications
Or Sheffet · Daniel Omer
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
Daizong Liu · Mingyu Yang · Xiaoye Qu · Pan Zhou · Xiang Fang · Keke Tang · Yao Wan · Lichao Sun
Private Online Learning via Lazy Algorithms
Hilal Asi · Tomer Koren · Daogao Liu · Kunal Talwar
Private Geometric Median
Mahdi Haghifam · Thomas Steinke · Jonathan Ullman
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Hanlin Gu · WinKent Ong · Chee Seng Chan · Lixin Fan
PrivCirNet: Efficient Private Inference via Block Circulant Transformation
Tianshi Xu · Lemeng Wu · Runsheng Wang · Meng Li
Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration
Wenjie Fu · Huandong Wang · Chen Gao · Guanghua Liu · Yong Li · Tao Jiang
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
ZhenTing Liu · ShangTse Chen
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
Jeonghye Kim · Suyoung Lee · Woojun Kim · Youngchul Sung
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
Yuanlin Duan · Guofeng Cui · He Zhu
Provable Partially Observable Reinforcement Learning with Privileged Information
Yang Cai · Xiangyu Liu · Argyris Oikonomou · Kaiqing Zhang
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
Allen Nie · Yash Chandak · Christina Yuan · Anirudhan Badrinath · Yannis Flet-Berliac · Emma Brunskill
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
Qi Wang · Junming Yang · Yunbo Wang · Xin Jin · Wenjun Zeng · Xiaokang Yang
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
Pranav Singh Chib · Pravendra Singh
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
Otmane Sakhi · Imad Aouali · Pierre Alquier · Nicolas Chopin
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin · Vladislav Kurenkov · Ilya Zisman · Artem Agarkov · Viacheslav Sinii · Sergey Kolesnikov
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
Hongyao Tang · Min Zhang · Chen Chen · Jianye Hao
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
HYUNSEUNG KIM · BYUNG KUN LEE · Hojoon Lee · Dongyoon Hwang · Donghu Kim · Jaegul Choo
Effective Exploration Based on the Structural Information Principles
Xianghua Zeng · Hao Peng · Angsheng Li
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
Hongming Zhang · Chenjun Xiao · Chao Gao · Han Wang · bo xu · Martin Müller
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
Miles Hutson · Isaac Kauvar · Nick Haber
Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control
Michal Nauman · Mateusz Ostaszewski · Krzysztof Jankowski · Piotr Miłoś · Marek Cygan
Robust Reinforcement Learning from Corrupted Human Feedback
Alexander Bukharin · Ilgee Hong · Haoming Jiang · Zichong Li · Qingru Zhang · Zixuan Zhang · Tuo Zhao
Parseval Regularization for Continual Reinforcement Learning
Wesley Chung · Lynn Cherif · Doina Precup · David Meger
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
Jake Grigsby · Justin Sasek · Samyak Parajuli · Ikechukwu D. Adebi · Amy Zhang · Yuke Zhu
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso · Adam Jelley · Vincent Micheli · Anssi Kanervisto · Amos Storkey · Tim Pearce · François Fleuret
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
Weikang Wan · Ziyu Wang · Yufei Wang · Zackory Erickson · David Held
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
Ilgee Hong · Zichong Li · Alexander Bukharin · Yixiao Li · Haoming Jiang · Tianbao Yang · Tuo Zhao
Hierarchical Programmatic Option Framework
Yu-An Lin · Chen-Tao Lee · Chih-Han Yang · Guan-Ting Liu · Shao-Hua Sun
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
Gautham Vasan · Mohamed Elsayed · Seyed Alireza Azimi · Jiamin He · Fahim Shahriar · Colin Bellinger · Martha White · Rupam Mahmood
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Tianjiao Luo · Tim Pearce · Huayu Chen · Jianfei Chen · Jun Zhu
Regularized Q-Learning
Han-Dong Lim · Donghwan Lee
The Power of Resets in Online Reinforcement Learning
Zak Mhammedi · Dylan J Foster · Alexander Rakhlin
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
Long-Fei Li · Yu-Jie Zhang · Peng Zhao · Zhi-Hua Zhou
N-agent Ad Hoc Teamwork
Caroline Wang · Muhammad Arrasy Rahman · Ishan Durugkar · Elad Liebman · Peter Stone
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
Dongsu Lee · Minhae Kwon
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
The Viet Bui · Tien Mai · Thanh Nguyen
Flipping-based Policy for Chance-Constrained Markov Decision Processes
Xun Shen · Shuo Jiang · Akifumi Wachi · Kazumune Hashimoto · Sebastien Gros
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
Honghao Wei · Xiyue Peng · Arnob Ghosh · Xin Liu
Robust Reinforcement Learning with General Utility
Ziyi Chen · Yan Wen · Zhengmian Hu · Heng Huang
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
Harley Wiltzer · Marc Bellemare · David Meger · Patrick Shafto · Yash Jhaveri
Task-Agnostic Machine-Learning-Assisted Inference
Jiacheng Miao · Qiongshi Lu
Contrastive dimension reduction: when and how?
Sam Hawke · YueEn Ma · Didong Li
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
Siyuan Xu · Minghui Zhu
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
Rafael Rafailov · Yaswanth Chittepu · Ryan Park · Harshit Sushil Sikchi · Joey Hejna · Brad Knox · Chelsea Finn · Scott Niekum
Fixed Confidence Best Arm Identification in the Bayesian Setting
Kyoungseok Jang · Junpei Komiyama · Kazutoshi Yamazaki
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
Easton Huch · Jieru Shi · Madeline R Abbott · Jessica Golbus · Alexander Moreno · Walter Dempsey
Strategic Linear Contextual Bandits
Thomas Kleine Buening · Aadirupa Saha · Christos Dimitrakakis · Haifeng Xu
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach
Filippo Lazzati · Mirco Mutti · Alberto Maria Metelli
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
Hao Tang · Darren Key · Kevin Ellis
The surprising efficiency of temporal difference learning for rare event prediction
Xiaoou Cheng · Jonathan Weare
Linear Causal Bandits: Unknown Graph and Soft Interventions
Zirui Yan · Ali Tajer
Robust group and simultaneous inferences for high-dimensional single index model
Weichao Yang · Hongwei Shi · Xu Guo · Changliang Zou
Toward Conditional Distribution Calibration in Survival Prediction
Shi-ang Qi · Yakun Yu · Russell Greiner
Conditional Outcome Equivalence: A Quantile Alternative to CATE
Josh Givens · Henry Reeve · Song Liu · Katarzyna Reluga
Robust Offline Active Learning on Graphs
Yuanchen Wu · Yubai Yuan
Active preference learning for ordering items in- and out-of-sample
Herman Bergström · Emil Carlsson · Devdatt Dubhashi · Fredrik Johansson
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
Adhyyan Narang · Andrew Wagenmaker · Lillian Ratliff · Kevin Jamieson
Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL
Enoch H. Kang · P. R. Kumar
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang · David Sontag · Aravindan Vijayaraghavan
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
Evelyn Ma · Chao Pan · S. Rasoul Etesami · Han Zhao · Olgica Milenkovic
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
Zhaorui Tan · Xi Yang · Qiufeng Wang · Anh Nguyen · Kaizhu Huang
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni · Shan Zhang · Piotr Koniusz
Label Noise: Ignorance Is Bliss
Yilun Zhu · Jianxin Zhang · Aditya Gangrade · Clay Scott
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
Jiawei Ge · Debarghya Mukherjee · Jianqing Fan
Nonparametric Evaluation of Noisy ICA Solutions
Syamantak Kumar · Derek Bean · peter j bickel · Purnamrita Sarkar
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
Roland Stolz · Hanna Krasowski · Jakob Thumm · Michael Eichelbeck · Philipp Gassert · Matthias Althoff
Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
Frédéric Berdoz · Roger Wattenhofer
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
Miao Lu · Han Zhong · Tong Zhang · Jose Blanchet
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
Stefan Stojanovic · Yassir Jedra · Alexandre Proutiere
How Does Variance Shape the Regret in Contextual Bandits?
Zeyu Jia · Jian Qian · Alexander Rakhlin · Chen-Yu Wei
Mutual Information Estimation via $f$-Divergence and Data Derangements
Nunzio Alexandro Letizia · Nicola Novello · Andrea M Tonello
User-Creator Feature Polarization in Recommender Systems with Dual Influence
Tao Lin · Kun Jin · Andrew Estornell · Xiaoying Zhang · Yiling Chen · Yang Liu
Incentivizing Quality Text Generation via Statistical Contracts
Eden Saig · Ohad Einav · Inbal Talgam-Cohen
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
Yang Cai · Gabriele Farina · Julien Grand-Clément · Christian Kroer · Chung-Wei Lee · Haipeng Luo · Weiqiang Zheng
Bias Detection via Signaling
Yiling Chen · Tao Lin · Ariel Procaccia · Aaditya Ramdas · Itai Shapira
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
Shuai Liu · Alex Ayoub · Flore Sentenac · Xiaoqi Tan · Csaba Szepesvari
The Benefits of Balance: From Information Projections to Variance Reduction
Lang Liu · Ronak Mehta · Soumik Pal · Zaid Harchaoui
Minimum Entropy Coupling with Bottleneck
Reza Ebrahimi · Jun Chen · Ashish Khisti
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
Yunbum Kook · Santosh Vempala · Matthew Zhang
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
Yunzhe Hu · Difan Zou · Dong Xu
On the Ability of Developers' Training Data Preservation of Learnware
Hao-Yi Lei · Zhi-Hao Tan · Zhi-Hua Zhou
Optimal Algorithms for Learning Partitions with Faulty Oracles
Adela DePavia · Olga Medrano Martin del Campo · Erasmo Tani
HEMM: Holistic Evaluation of Multimodal Foundation Models
Paul Pu Liang · Akshay Goindani · Talha Chafekar · Leena Mathur · Haofei Yu · Ruslan Salakhutdinov · Louis-Philippe Morency
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
Polina Turishcheva · Paul Fahey · Michaela Vystrčilová · Laura Hansel · Rachel Froebe · Kayla Ponder · Yongrong Qiu · Konstantin Willeke · Mohammad Bashiri · Ruslan Baikulov · Yu Zhu · Lei Ma · Shan Yu · Tiejun Huang · Bryan Li · Wolf De Wulf · Nina Kudryashova · Matthias Hennig · Nathalie Rochefort · Arno Onken · Eric Y. Wang · Zhiwei Ding · Andreas Tolias · Fabian Sinz · Alexander Ecker
Private and Personalized Frequency Estimation in a Federated Setting
Amrith Setlur · Vitaly Feldman · Kunal Talwar
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
Yonggang Zhang · Jie Lu · Bo Peng · Zhen Fang · Yiu-ming Cheung
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
Ruihan Wu · Siddhartha Datta · Yi Su · Dheeraj Baby · Yu-Xiang Wang · Kilian Weinberger
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
Zhe Zhao · HaiBin Wen · Zikang Wang · Pengkun Wang · Fanfu Wang · Song Lai · Qingfu Zhang · Yang Wang
Diffusion Spectral Representation for Reinforcement Learning
Dmitry Shribak · Chen-Xiao Gao · Yitong Li · Chenjun Xiao · Bo Dai
Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits
Dorian Baudry · Hugo Richard · Maria Cherifa · Vianney Perchet · Clément Calauzènes
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
Bingqi Ma · ZHUOFAN ZONG · Guanglu Song · Hongsheng Li · Yu Liu
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
Tianyu Chen · Zhendong Wang · Mingyuan Zhou
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
Yang Zhou · Zhuoming Chen · Zhaozhuo Xu · Victoria Lin · Beidi Chen
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments
Yanping Li · Jingshen Wang · Waverly Wei
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization
Qihao Liu · Zhanpeng Zeng · Ju He · Qihang Yu · Xiaohui Shen · Liang-Chieh Chen
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
WANG JIAWEI · Renhe Jiang · Chuang Yang · Zengqing Wu · makoto onizuka · Ryosuke Shibasaki · Noboru Koshizuka · Chuan Xiao
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
Yiwei Ma · Jiayi Ji · Ke Ye · Weihuang Lin · Zhibin Wang · Yonghan Zheng · Qiang Zhou · Xiaoshuai Sun · Rongrong Ji
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
Xingchen Wan · Ruoxi Sun · Hootan Nakhost · Sercan Arik
Understanding Visual Feature Reliance through the Lens of Complexity
Thomas Fel · Louis Béthune · Andrew Lampinen · Thomas Serre · Katherine Hermann
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
Guibin Zhang · Haonan Dong · yuchen zhang · Zhixun Li · Dingshuo Chen · Kai Wang · Tianlong Chen · Yuxuan Liang · Dawei Cheng · Kun Wang
Local to Global: Learning Dynamics and Effect of Initialization for Transformers
Ashok Vardhan Makkuva · Marco Bondaschi · Adway Girish · Alliot Nagle · Hyeji Kim · Michael Gastpar · Chanakya Ekbote
MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages
Zixian Huang · Wenhao Zhu · Gong Cheng · Lei Li · Fei Yuan
A Theoretical Understanding of Self-Correction through In-context Alignment
Yifei Wang · Yuyang Wu · Zeming Wei · Stefanie Jegelka · Yisen Wang
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus
Yiming Wang · Kaiyan Zhao · Furui Liu · Leong Hou U
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
Dongxiao He · Lianze Shan · Jitao Zhao · Hengrui Zhang · Zhen Wang · Weixiong Zhang
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk · Stefan Feuerriegel · Mihaela van der Schaar
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
Shuai Li · Zhao Song · Yu Xia · Tong Yu · Tianyi Zhou
ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model
Yufei Wang · Zhihao Li · Lanqing Guo · Wenhan Yang · Alex Kot · Bihan Wen
Label Delay in Online Continual Learning
Botos Csaba · Wenxuan Zhang · Matthias Müller · Ser Nam Lim · Philip Torr · Adel Bibi
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
Xinyu Yang · Jixuan Leng · Geyang Guo · Jiawei Zhao · Ryumei Nakada · Linjun Zhang · Huaxiu Yao · Beidi Chen
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
Sukwon Yun · Inyoung Choi · Jie Peng · Yangfan Wu · Jingxuan Bao · Qiyiwen Zhang · Jiayi Xin · Qi Long · Tianlong Chen
Action Imitation in Common Action Space for Customized Action Image Synthesis
wang lin · Jingyuan Chen · Jiaxin Shi · Zirun Guo · Yichen Zhu · Zehan Wang · Tao Jin · Zhou Zhao · Fei Wu · Shuicheng Yan · Hanwang Zhang
ReFT: Representation Finetuning for Language Models
Zhengxuan Wu · Aryaman Arora · Zheng Wang · Atticus Geiger · Dan Jurafsky · Christopher D Manning · Christopher Potts
What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
Yiting Chen · Junchi Yan
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
Dang Nguyen · Paymon Haddad · Eric Gan · Baharan Mirzasoleiman
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
Rohan Choudhury · Guanglei Zhu · Sihan Liu · Koichiro Niinuma · Kris Kitani · László Jeni
Symmetry-Informed Governing Equation Discovery
Jianke Yang · Wang Rao · Nima Dehmamy · Robin Walters · Rose Yu
Learning Elastic Costs to Shape Monge Displacements
Michal Klein · Aram-Alexandre Pooladian · Pierre Ablin · Eugene Ndiaye · Jonathan Niles-Weed · Marco Cuturi
On Feature Learning in Structured State Space Models
Leena Chennuru Vankadara · Jin Xu · Moritz Haas · Volkan Cevher
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
Wei Wu · Kecheng Zheng · Shuailei Ma · Fan Lu · Yuxin Guo · Yifei Zhang · Wei Chen · Qingpei Guo · Yujun Shen · Zheng-Jun Zha
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
Jason Lee · Kazusato Oko · Taiji Suzuki · Denny Wu
Learning from Highly Sparse Spatio-temporal Data
Leyan Deng · Chenwang Wu · Defu Lian · Enhong Chen
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor
Keji He · Kehan Chen · Jiawang Bai · Yan Huang · Qi Wu · Shu-Tao Xia · Liang Wang
Quantum Algorithms for Non-smooth Non-convex Optimization
Chengchang Liu · Chaowen Guan · Jianhao He · John C. S. Lui
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
Binghui Xie · Yixuan Wang · Yongqiang Chen · Kaiwen Zhou · Yu Li · Wei Meng · James Cheng
Real-time Stereo-based 3D Object Detection for Streaming Perception
Changcai Li · Zonghua Gu · Gang Chen · Libo Huang · Wei Zhang · Huihui Zhou
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Poster
11:00 AM - 2:00 PM
453 Events in this session
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
Che Liu · Cheng Ouyang · Sibo Cheng · Anand Shah · Wenjia Bai · Rossella Arcucci
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation
Jin Woo Lee · Jaehyun Park · Min Jun Choi · Kyogu Lee
Trajectory Flow Matching with Applications to Clinical Time Series Modelling
Xi (Nicole) Zhang · Yuan Pu · Yuki Kawamura · Andrew Loza · Yoshua Bengio · Dennis Shung · Alexander Tong
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
Yangyang Yu · Zhiyuan Yao · Haohang Li · Zhiyang Deng · Yuechen Jiang · Yupeng Cao · Zhi Chen · Jordan Suchow · Zhenyu Cui · Rong Liu · Zhaozhuo Xu · Denghui Zhang · Koduvayur (Suba) Subbalakshmi · GUOJUN XIONG · Yueru He · Jimin Huang · Dong Li · Qianqian Xie
Learning to compute Gröbner bases
Hiroshi Kera · Yuki Ishihara · Yuta Kambe · Tristan Vaccon · Kazuhiro Yokoyama
Unsupervised Discovery of Formulas for Mathematical Constants
Michael Shalyt · Uri Seligmann · Itay Beit Halachmi · Ofir David · Rotem Elimelech · Ido Kaminer
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
Nina Gubina · Andrei Dmitrenko · Gleb Solovev · Lyubov Yamshchikova · Oleg Petrov · Ivan Lebedev · Nikita Serov · Grigorii Kirgizov · Nikolay Nikitin · Vladimir Vinogradov
Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations
Wenrui Hao · Xinliang Liu · Yahong Yang
Self-Guiding Exploration for Combinatorial Problems
Zangir Iklassov · Yali Du · Farkhad Akimov · Martin Takac
Pruning neural network models for gene regulatory dynamics using data and domain knowledge
Intekhab Hossain · Jonas Fischer · Rebekka Burkholz · John Quackenbush
Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation
Daeho Um · Ji Won Yoon · Seong Jin Ahn · Yunha Yeo
Training Compute-Optimal Protein Language Models
Xingyi Cheng · Bo Chen · Pan Li · Jing Gong · Jie Tang · Le Song
GenAI Arena: An Open Evaluation Platform for Generative Models
Dongfu Jiang · Max KU · Tianle Li · Yuansheng Ni · Shizhuo Sun · Rongqi Fan · Wenhu Chen
Multiview Scene Graph
Juexiao Zhang · Gao Zhu · Sihang Li · Xinhao Liu · Haorui Song · Xinran Tang · Chen Feng
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
Shayan Shekarforoush · David Lindell · Marcus Brubaker · David Fleet
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
Chen Hang · Zhe Ma · Haoming Chen · Xuwei Fang · Vincent Xie · Faming Fang · Guixu Zhang · Hongbin Wang
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
Chengkai Hou · Zhengrong Xue · Bingyang Zhou · Jinghan Ke · Lin Shao · Huazhe Xu
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
Yuang Ai · Xiaoqiang Zhou · Huaibo Huang · Xiaotian Han · Zhengyu Chen · Quanzeng You · Hongxia Yang
Slot-VLM: Object-Event Slots for Video-Language Modeling
Jiaqi Xu · Cuiling Lan · Wenxuan Xie · Xuejin Chen · Yan Lu
AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
Yuze He · Wang Zhao · Shaohui Liu · Yubin Hu · Yushi Bai · Yu-Hui Wen · Yong-jin Liu
ContactField: Implicit Field Representation for Multi-Person Interaction Geometry
Hansol Lee · Tackgeun You · Hansoo Park · Woohyeon Shim · Sanghyeon Kim · Hwasup Lim
Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection
Yuli Wang · Peng jian · Yuwei Dai · Craig Jones · Haris Sair · Jinglai Shen · Nicolas Loizou · jing wu · Wen-Chi Hsu · Maliha Imami · Zhicheng Jiao · Paul Zhang · Harrison Bai
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
Max Jiang · Yijing Bai · Andre Cornman · Christopher Davis · XIUKUN HUANG · Hong Jeon · Sakshum Kulshrestha · John Lambert · Shuangyu Li · Xuanyu Zhou · Carlos Fuertes · Chang Yuan · Mingxing Tan · Yin Zhou · Dragomir Anguelov
Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction
Bavesh Balaji · Jerrin Bright · Yuhao Chen · Sirisha Rambhatla · John Zelek · David Clausi
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
Ye Mao · JUNPENG JING · Krystian Mikolajczyk
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
Chao Chen · Yu-Shen Liu · Zhizhong Han
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
Yizhou Zhao · Hengwei Bian · Kaihua Chen · Pengliang Ji · Liao Qu · Shao-yu Lin · Weichen Yu · Haoran Li · Hao Chen · Jun Shen · Bhiksha Raj · Min Xu
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings
Suyoung Lee · Jaeyoung Chung · Jaeyoo Huh · Kyoung Mu Lee
UV-free Texture Generation with Denoising and Geodesic Heat Diffusion
Simone Foti · Stefanos Zafeiriou · Tolga Birdal
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
Jiewen Yang · Yiqun Lin · Bin Pu · Xiaomeng Li
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
Zhu Yu · Runmin Zhang · Jiacheng Ying · Junchen Yu · Xiaohai Hu · Lun Luo · Si-Yuan Cao · Hui-liang Shen
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
Kang Chen · Shiyan Chen · Jiyuan Zhang · Baoyue Zhang · Yajing Zheng · Tiejun Huang · Zhaofei Yu
Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials
Ye Fang · Zeyi Sun · Tong Wu · Jiaqi Wang · Ziwei Liu · Gordon Wetzstein · Dahua Lin
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
Xu Zhang · Peiyao Guo · Ming Lu · Zhan Ma
Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
Zhenyu Guan · Xiangyu Kong · Fangwei Zhong · Yizhou Wang
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
Mingyi Li · Xiao Zhang · Qi Wang · Tengfei LIU · Ruofan Wu · Weiqiang Wang · Fuzhen Zhuang · Hui Xiong · Dongxiao Yu
GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration
Silong Yong · Yaqi Xie · Simon Stepputtis · Katia Sycara
Accelerating Transformers with Spectrum-Preserving Token Merging
Chau Tran · Duy M. H. Nguyen · Manh-Duy Nguyen · TrungTin Nguyen · Ngan Le · Pengtao Xie · Daniel Sonntag · James Zou · Binh Nguyen · Mathias Niepert
Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders
Senthooran Rajamanoharan · Arthur Conmy · Lewis Smith · Tom Lieberum · Vikrant Varma · Janos Kramar · Rohin Shah · Neel Nanda
PhyRecon: Physically Plausible Neural Scene Reconstruction
Junfeng Ni · Yixin Chen · Bohan Jing · Nan Jiang · Bin Wang · Bo Dai · Puhao Li · Yixin Zhu · Song-Chun Zhu · Siyuan Huang
ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images
Timing Yang · Yuanliang Ju · Li Yi
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
Cuong Le · John Viktor Johansson · Manon Kok · Bastian Wandt
Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections
Jiacong Xu · Yiqun Mei · Vishal Patel
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model
Fei Xie · Weijia Zhang · Zhongdao Wang · Chao Ma
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
Zhenghao Pan · Haijin Zeng · Jiezhang Cao · Yongyong Chen · Kai Zhang · Yong Xu
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
Mathilde Caron · Alireza Fathi · Cordelia Schmid · Ahmet Iscen
MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
Chenjie Cao · Chaohui Yu · Fan Wang · Xiangyang Xue · Yanwei Fu
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
Hanyang Chen · Yang Jiang · Shengnan Guo · Xiaowei Mao · Youfang Lin · Huaiyu Wan
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
Zhixiong Nan · Li Xianghong · Tao Xiang · Jifeng Dai
Visual Fourier Prompt Tuning
Runjia Zeng · Cheng Han · Qifan Wang · Chunshu Wu · Tong Geng · Lifu Huangg · Ying Nian Wu · Dongfang Liu
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
Jer Pelhan · Alan Lukezic · Vitjan Zavrtanik · Matej Kristan
Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing
Chu Zhou · Yixing Liu · Chao Xu · Boxin Shi
IllumiNeRF: 3D Relighting Without Inverse Rendering
Xiaoming Zhao · Pratul Srinivasan · Dor Verbin · Keunhong Park · Ricardo Martin Brualla · Philipp Henzler
Adaptive Domain Learning for Cross-domain Image Denoising
Zian Qian · Chenyang Qi · Ka Law · Hao Fu · Chenyang Lei · Qifeng Chen
Fully Explicit Dynamic Gaussian Splatting
Junoh Lee · Changyeon Won · Hyunjun Jung · Inhwan Bae · Hae-Gon Jeon
Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting
Jiawei Xu · Zexin Fan · Jian Yang · Jin Xie
Learning Truncated Causal History Model for Video Restoration
Amirhosein Ghasemabadi · Muhammad Janjua · Mohammad Salameh · Di Niu
OPUS: Occupancy Prediction Using a Sparse Set
JiaBao Wang · Zhaojiang Liu · Qiang Meng · Liujiang Yan · Ke Wang · JIE YANG · Wei Liu · Qibin Hou · Ming-Ming Cheng
Generalizable Implicit Motion Modeling for Video Frame Interpolation
Zujin Guo · Wei Li · Chen Change Loy
A Simple yet Universal Framework for Depth Completion
Jin-Hwi Park · Hae-Gon Jeon
Revisiting the Integration of Convolution and Attention for Vision Backbone
Lei Zhu · Xinjiang Wang · Wayne Zhang · Rynson Lau
Skinned Motion Retargeting with Dense Geometric Interaction Perception
Zijie Ye · Jia-Wei Liu · Jia Jia · Shikun Sun · Mike Zheng Shou
2D-OOB: Attributing Data Contribution Through Joint Valuation Framework
Yifan Sun · Jingyan Shen · Yongchan Kwon
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
Miaosen Zhang · Yixuan Wei · Zhen Xing · Yifei Ma · Zuxuan Wu · Ji Li · Zheng Zhang · Qi Dai · Chong Luo · Xin Geng · Baining Guo
Binarized Diffusion Model for Image Super-Resolution
Zheng Chen · Haotong Qin · Yong Guo · Xiongfei Su · Xin Yuan · Linghe Kong · Yulun Zhang
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun · Qiuhong Ke · Yongcai Wang · Wang Chen · Kang Yang · Deying Li · Jianfei Cai
Vision-Language Models are Strong Noisy Label Detectors
Tong Wei · Hao-Tian Li · ChunShu Li · Jiang-Xin Shi · Yu-Feng Li · Min-Ling Zhang
To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation
Chenxi Zhao · Jinglei Shi · Liqiang Nie · Jufeng Yang
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
Hanchao Liu · Yujiang Li · Tai-Jiang Mu · Shi-min Hu
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
Wanhua Li · Zibin Meng · Jiawei Zhou · Donglai Wei · Chuang Gan · Hanspeter Pfister
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
Lianyu Pang · Jian Yin · Baoquan Zhao · Feize Wu · Fu Lee Wang · Qing Li · Xudong Mao
ACFun: Abstract-Concrete Fusion Facial Stylization
Jiapeng Ji · Kun Wei · Ziqi Zhang · Cheng Deng
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
Sangyun Shin · Yuhang He · Madhu Vankadari · Ta-Ying Cheng · Qian Xie · Andrew Markham · Niki Trigoni
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
Boqian Wu · Qiao Xiao · Shiwei Liu · Lu Yin · Mykola Pechenizkiy · Decebal Constantin Mocanu · Maurice Keulen · Elena Mocanu
Hybrid Mamba for Few-Shot Segmentation
Qianxiong Xu · Xuanyi Liu · Lanyun Zhu · Guosheng Lin · Cheng Long · Ziyue Li · Rui Zhao
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
Bowen Jin · Ziqi Pang · Bingjun Guo · Yu-Xiong Wang · Jiaxuan You · Jiawei Han
An Image is Worth 32 Tokens for Reconstruction and Generation
Qihang Yu · Mark Weber · Xueqing Deng · Xiaohui Shen · Daniel Cremers · Liang-Chieh Chen
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
Jiatao Gu · Ying Shen · Shuangfei Zhai · Yizhe Zhang · Navdeep Jaitly · Joshua Susskind
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%
Lei Zhu · Fangyun Wei · Yanye Lu · Dong Chen
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
Zanlin Ni · Yulin Wang · Renping Zhou · Yizeng Han · Jiayi Guo · Zhiyuan Liu · Yuan Yao · Gao Huang
How Diffusion Models Learn to Factorize and Compose
Qiyao Liang · Ziming Liu · Mitchell Ostrow · Ila Fiete
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
Zhicheng Sun · Zhenhao Yang · Yang Jin · Haozhe Chi · Kun Xu · Kun Xu · Liwei Chen · Hao Jiang · Yang Song · Kun Gai · Yadong Mu
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
Susung Hong
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
Athanasios Tragakis · Marco Aversa · Chaitanya Kaul · Roderick Murray-Smith · Daniele Faccio
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
Qi Bi · Jingjun Yi · Hao Zheng · Haolan Zhan · Yawen Huang · Wei Ji · Yuexiang Li · Yefeng Zheng
DeiSAM: Segment Anything with Deictic Prompting
Hikaru Shindo · Manuel Brack · Gopika Sudhakaran · Devendra S Dhami · Patrick Schramowski · Kristian Kersting
Computerized Adaptive Testing via Collaborative Ranking
Zirui Liu · Yan Zhuang · Qi Liu · Jiatong Li · Yuren Zhang · Zhenya Huang · Jinze Wu · Shijin Wang
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
Zhao Zhang · Ziwei Zhao · Dong Wang · Liwei Wang
Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model
Sai Wang · Yutian Lin · Yu Wu · Bo Du
Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark
Wei Ji · Jingjing Li · Wenbo Li · Yilin Shen · Li cheng · Hongxia Jin
SyncVIS: Synchronized Video Instance Segmentation
Rongkun Zheng · Lu Qi · Xi Chen · Yi Wang · Kun Wang · Yu Qiao · Hengshuang Zhao
General Detection-based Text Line Recognition
Raphael Baena · Syrine Kalleli · Mathieu Aubry
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
Yuedong Chen · Chuanxia Zheng · Haofei Xu · Bohan Zhuang · Andrea Vedaldi · Tat-Jen Cham · Jianfei Cai
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
Yupeng Zhou · Daquan Zhou · Ming-Ming Cheng · Jiashi Feng · Qibin Hou
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation
Gwanghyun Kim · Alonso Martinez · Yu-Chuan Su · Brendan Jou · Jose Lezama · Agrim Gupta · Lijun Yu · Lu Jiang · Aren Jansen · Jacob Walker · Krishna Somandepalli
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
PENGHUI RUAN · Pichao WANG · Divya Saxena · Jiannong Cao · Yuhui Shi
DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
Cheonjun Park · Mincheol Park · Hyunchan Moon · Myung Kuk Yoon · Seokjin Go · Suhyun Kim · Won Woo Ro
Distribution-Aware Data Expansion with Diffusion Models
Haowei Zhu · Ling Yang · Jun-Hai Yong · Hongzhi Yin · Jiawei Jiang · Meng Xiao · Wentao Zhang · Bin Wang
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
Dingshuo Chen · Zhixun Li · Yuyan Ni · Guibin Zhang · Ding Wang · Qiang Liu · Shu Wu · Jeffrey Yu · Liang Wang
Boundary Matters: A Bi-Level Active Finetuning Method
Han Lu · Yichen Xie · Xiaokang Yang · Junchi Yan
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Alexander Nikitin · Letizia Iannucci · Samuel Kaski
TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation
Seong Hyeon Park · Huiwon Jang · Byungwoo Jeon · Sukmin Yun · Paul Hongsuck Seo · Jinwoo Shin
OnlineTAS: An Online Baseline for Temporal Action Segmentation
Qing Zhong · Guodong Ding · Angela Yao
Is Multiple Object Tracking a Matter of Specialization?
Gianluca Mancusi · Mattia Bernardi · Aniello Panariello · Angelo Porrello · Rita Cucchiara · SIMONE CALDERARA
Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
qingsong zhao · Yi Wang · Jilan Xu · Yinan He · Zifan Song · Limin Wang · Yu Qiao · Cairong Zhao
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
Tieyuan Chen · Huabin Liu · Tianyao He · Yihang Chen · chaofan gan · Xiao Ma · Cheng Zhong · Yang Zhang · Yingxue Wang · Hui Lin · Weiyao Lin
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
Weiqin Yang · Jiawei Chen · Xin Xin · Sheng Zhou · Binbin Hu · Yan Feng · Chun Chen · Can Wang
Evaluation of Text-to-Video Generation Models: A Dynamics Perspective
Mingxiang Liao · hannan lu · Qixiang Ye · Wangmeng Zuo · Fang Wan · Tianyu Wang · Yuzhong Zhao · Jingdong Wang · Xinyu Zhang
Deep Submodular Peripteral Networks
Gantavya Bhatt · Arnav Das · Jeff A Bilmes
TSDS: Data Selection for Task-Specific Model Finetuning
Zifan Liu · Amin Karbasi · Theodoros Rekatsinas
[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
Barath Chandran C
FedAvP: Augment Local Data via Shared Policy in Federated Learning
Minui Hong · Junhyeog Yun · Insu Jeon · Gunhee Kim
Most Influential Subset Selection: Challenges, Promises, and Beyond
Yuzheng Hu · Pingbang Hu · Han Zhao · Jiaqi Ma
AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
Minghao Chen · Yihang Li · Yanting Yang · Shiyu Yu · Binbin Lin · Xiaofei He
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
Tinglin Huang · Zhenqiao Song · Rex Ying · Wengong Jin
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Yuxuan Tong · Xiwen Zhang · Rui Wang · Ruidong Wu · Junxian He
Compact Language Models via Pruning and Knowledge Distillation
Saurav Muralidharan · Sharath Turuvekere Sreenivas · Raviraj Joshi · Marcin Chochowski · Mostofa Patwary · Mohammad Shoeybi · Bryan Catanzaro · Jan Kautz · Pavlo Molchanov
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding
Xinyu Fang · Kangrui Mao · Haodong Duan · Xiangyu Zhao · Yining Li · Dahua Lin · Kai Chen
RanDumb: Random Representations Outperform Online Continually Learned Representations
Ameya Prabhu · Shiven Sinha · Ponnurangam Kumaraguru · Philip Torr · Ozan Sener · Puneet Dokania
On Sampling Strategies for Spectral Model Sharding
Denis Korzhenkov · Christos Louizos
Loki: Low-rank Keys for Efficient Sparse Attention
Prajwal Singhania · Siddharth Singh · Shwai He · Soheil Feizi · Abhinav Bhatele
Activating Self-Attention for Multi-Scene Absolute Pose Regression
Miso Lee · Jihwan Kim · Jae-Pil Heo
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
Zhihao Shu · Xiaowei Yu · Zihao Wu · Wenqi Jia · Yinchen Shi · Miao Yin · Tianming Liu · Dajiang Zhu · Wei Niu
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
Zhenyu Zhang · Runjin Chen · Shiwei Liu · Zhewei Yao · Olatunji Ruwase · Beidi Chen · Xiaoxia Wu · Zhangyang "Atlas" Wang
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
William Brandon · Mayank Mishra · Aniruddha Nrusimha · Rameswar Panda · Jonathan Ragan-Kelley
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
Qiufeng Wang · Xu Yang · Fu Feng · Jingq Wang · Xin Geng
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
Markus Hiller · Krista A. Ehinger · Tom Drummond
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models
Josh Alman · Zhao Song
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
Yao Lai · Jinxin Liu · David Z. Pan · Ping Luo
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
Yang Li · Shaobo Han · Jonathan Shihao Ji
Towards Scalable and Stable Parallelization of Nonlinear RNNs
Xavier Gonzalez · Andrew Warrington · Jimmy Smith · Scott Linderman
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec
Jun-Hyuk Kim · Seungeon Kim · Won-Hee Lee · Dokwan Oh
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Han Lu · Xu-Yang Chen · Han-Jia Ye · De-Chuan Zhan
Gradient-free Decoder Inversion in Latent Diffusion Models
Seongmin Hong · Suh Yoon Jeon · Kyeonghyun Lee · Ernest Ryu · Se Young Chun
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
Bozhen Hu · Cheng Tan · Jun Xia · Yue Liu · Lirong Wu · Jiangbin Zheng · Yongjie Xu · Yufei Huang · Stan Z. Li
Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
Dmitrii Avdiukhin · Vaggos Chatziafratis · Orr Fischer · Grigory Yaroslavtsev
Classification Done Right for Vision-Language Pre-Training
Zilong Huang · Qinghao Ye · Bingyi Kang · Jiashi Feng · Haoqi Fan
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
Tong Wu · Yanpeng Zhao · Zilong Zheng
Interactive Deep Clustering via Value Mining
Honglin Liu · Peng Hu · Changqing Zhang · Yunfan Li · Xi Peng
Latent Functional Maps: a spectral framework for representation alignment
Marco Fumero · Marco Pegoraro · Valentino Maiorca · Francesco Locatello · Emanuele Rodolà
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
Md Yousuf Harun · Kyungbok Lee · Gianmarco Gallardo · Giri Krishnan · Christopher Kanan
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
Rachel S.Y. Teo · Tan Nguyen
Critically Assessing the State of the Art in Neural Network Verification
Matthias König · Annelot W. Bosman · Holger H. Hoos · Jan N. Van Rijn
Is Your HD Map Constructor Reliable under Sensor Corruptions?
Xiaoshuai Hao · Mengchuan Wei · Yifan Yang · Haimei Zhao · Hui Zhang · Yi ZHOU · Qiang Wang · Weiming Li · Lingdong Kong · Jing Zhang
Topological obstruction to the training of shallow ReLU neural networks
Marco Nurisso · Pierrick Leroy · Francesco Vaccarino
Harnessing small projectors and multiple views for efficient vision pretraining
Arna Ghosh · Kumar Krishna Agrawal · Shagun Sodhani · Adam Oberman · Blake Richards
Accelerating Augmentation Invariance Pretraining
Jinhong Lin · Cheng-En Wu · Yibing Wei · Pedro Morgado
SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations
Sri Harsha Dumpala · Aman Jaiswal · Chandramouli Shama Sastry · Evangelos Milios · Sageev Oore · Hassan Sajjad
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
Yuli Slavutsky · Yuval Benjamini
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
ZAITANG LI · Pin-Yu Chen · Tsung-Yi Ho
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
Daksh Mittal · Yuanzhe Ma · Shalmali Joshi · Hongseok Namkoong
SuperDeepFool: a new fast and accurate minimal adversarial attack
alireza abdollahpour · Mahed Abroshan · Seyed-Mohsen Moosavi-Dezfooli
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions
Zheng Wang · Geyong Min · Wenjie Ruan
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Taejong Joo · Diego Klabjan
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks
Jun Xia · Zhihao Yue · Yingbo Zhou · Zhiwei Ling · Yiyu Shi · Xian Wei · Mingsong Chen
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Charles Guille-Escuret · Pierre-André Noël · Ioannis Mitliagkas · David Vazquez · Joao Monteiro
When are dynamical systems learned from time series data statistically accurate?
Jeongjin Park · Nicole Yang · Nisha Chandramoorthy
Deep Support Vectors
JunHoo Lee · Hyunho Lee · Kyomin Hwang · Nojun Kwak
How does PDE order affect the convergence of PINNs?
Chang hoon Song · Yesom Park · Myungjoo Kang
A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
Julia Nakhleh · Joseph Shenouda · Robert Nowak
Clustering in Causal Attention Masking
Nikita Karagodin · Yury Polyanskiy · Philippe Rigollet
Polyhedral Complex Derivation from Piecewise Trilinear Networks
Jin-Hwa Kim
Debiasing Synthetic Data Generated by Deep Generative Models
Alexander Decruyenaere · Heidelinde Dehaene · Paloma Rabaey · Johan Decruyenaere · Christiaan Polet · Thomas Demeester · Stijn Vansteelandt
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem
yoonsoo nam · Nayara Fonseca · Seok Hyeong Lee · Chris Mingard · Ard Louis
Hardness of Learning Neural Networks under the Manifold Hypothesis
Bobak Kiani · Jason Wang · Melanie Weber
Nature-Inspired Local Propagation
Alessandro Betti · Marco Gori
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
Kedar Karhadkar · Michael Murray · Guido Montufar
Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
cheng Luo · Jiawei Zhao · Zhuoming Chen · Beidi Chen · Animashree Anandkumar
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
Jaehyun Nam · Kyuyoung Kim · Seunghyuk Oh · Jihoon Tack · Jaehyung Kim · Jinwoo Shin
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
Hui-Po Wang · Mario Fritz
Understanding and Minimising Outlier Features in Transformer Training
Bobby He · Lorenzo Noci · Daniele Paliotta · Imanol Schlag · Thomas Hofmann
UQ-Guided Hyperparameter Optimization for Iterative Learners
Jiesong Liu · Feng Zhang · Jiawei Guan · Xipeng Shen
$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
Ruisi Cai · Yeonju Ro · Geon-Woo Kim · Peihao Wang · Babak Ehteshami Bejnordi · Aditya Akella · Zhangyang "Atlas" Wang
MatrixNet: Learning over symmetry groups using learned group representations
Lucas Laird · Circe Hsu · Asilata Bapat · Robin Walters
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
Shukai Duan · Heng Ping · Nikos Kanakaris · Xiongye Xiao · Panagiotis Kyriakis · Nesreen K. Ahmed · Peiyu Zhang · Guixiang Ma · Mihai Capotă · Shahin Nazarian · Theodore Willke · Paul Bogdan
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
Bernardo Esteves · Miguel Vasco · Francisco S. Melo
Where Do Large Learning Rates Lead Us?
Ildus Sadrtdinov · Maxim Kodryan · Eduard Pokonechny · Ekaterina Lobacheva · Dmitry Vetrov
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
Junhan Kim · Chungman Lee · Eulrang Cho · Kyungphil Park · Ho-young Kim · Joonyoung Kim · Yongkweon Jeon
Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Tomer Porian · Mitchell Wortsman · Jenia Jitsev · Ludwig Schmidt · Yair Carmon
Convolutional Differentiable Logic Gate Networks
Felix Petersen · Hilde Kuehne · Christian Borgelt · Julian Welzel · Stefano Ermon
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
Shengbo Wang · Jose Blanchet · Peter W Glynn
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
Yijun Yang · Ruiyuan Gao · Xiao Yang · Jianyuan Zhong · Qiang Xu
A Critical Evaluation of AI Feedback for Aligning Large Language Models
Archit Sharma · Sedrick Scott Keh · Eric Mitchell · Chelsea Finn · Kushal Arora · Thomas Kollar
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Alexander Kolesov · Petr Mokrov · Igor Udovichenko · Milena Gazdieva · Gudmund Pammer · Anastasis Kratsios · Evgeny Burnaev · Aleksandr Korotin
Pessimistic Backward Policy for GFlowNets
Hyosoon Jang · Yunhui Jang · Minsu Kim · Jinkyoo Park · Sungsoo Ahn
Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
Jingwei Zhao · Gus Xia · Ziyu Wang · Ye Wang
Group Robust Preference Optimization in Reward-free RLHF
Shyam Sundhar Ramesh · Yifan Hu · Iason Chaimalas · Viraj Mehta · Pier Giuseppe Sessa · Haitham Bou Ammar · Ilija Bogunovic
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Zeyang Liu · Xinrui Yang · Shiguang Sun · Long Qian · Lipeng Wan · Xingyu Chen · Xuguang Lan
Voila-A: Aligning Vision-Language Models with User's Gaze Attention
Kun Yan · Zeyu Wang · Lei Ji · Yuntao Wang · Nan Duan · Shuai Ma
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang · Xin Chen · Jinghan Jia · Yihua Zhang · Chongyu Fan · Jiancheng Liu · Mingyi Hong · Ke Ding · Sijia Liu
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
Nikita Kornilov · Petr Mokrov · Alexander Gasnikov · Aleksandr Korotin
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
Kiwoong Yoo · Owen Oertell · Junhyun Lee · Sanghoon Lee · Jaewoo Kang
Unified Guidance for Geometry-Conditioned Molecular Generation
Sirine Ayadi · Leon Hetzel · Johanna Sommer · Fabian Theis · Stephan Günnemann
Discrete Flow Matching
Itai Gat · Tal Remez · Neta Shaul · Felix Kreuk · Ricky T. Q. Chen · Gabriel Synnaeve · Yossi Adi · Yaron Lipman
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen · XINYANG JIANG · Yifan Yang · Yezhen Wang · Dongqi Han · Dongsheng Li
Multistep Distillation of Diffusion Models via Moment Matching
Tim Salimans · Thomas Mensink · Jonathan Heek · Emiel Hoogeboom
Simple and Fast Distillation of Diffusion Models
Zhenyu Zhou · Defang Chen · Can Wang · Chun Chen · Siwei Lyu
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
Hengkang Wang · Xu Zhang · Taihui Li · Yuxiang Wan · Tiancong Chen · Ju Sun
Fisher Flow Matching for Generative Modeling over Discrete Data
Oscar Davis · Samuel Kessler · Mircea Petrache · Ismail Ceylan · Michael Bronstein · Joey Bose
Efficient LLM Scheduling by Learning to Rank
Yichao Fu · Siqi Zhu · Runlong Su · Aurick Qiao · Ion Stoica · Hao Zhang
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
Sangeek Hyun · Jae-Pil Heo
SnapKV: LLM Knows What You are Looking for Before Generation
Yuhong Li · Yingbing Huang · Bowen Yang · Bharat Venkitesh · Acyr Locatelli · Hanchen Ye · Tianle Cai · Patrick Lewis · Deming Chen
Search for Efficient Large Language Models
Xuan Shen · Pu Zhao · Yifan Gong · Zhenglun Kong · Zheng Zhan · Yushu Wu · Ming Lin · Chao Wu · Xue Lin · Yanzhi Wang
HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors
Panwang Pan · Zhuo Su · Chenguo Lin · Zhen Fan · Yongjie Zhang · Zeming Li · Tingting Shen · Yadong Mu · Yebin Liu
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
David Mayo · Christopher Wang · Asa Harbin · Abdulrahman Alabdulkareem · Albert Shaw · Boris Katz · Andrei Barbu
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
Youngwan Lee · Kwanyong Park · Yoorhim Cho · Yong-Ju Lee · Sung Ju Hwang
PTQ4DiT: Post-training Quantization for Diffusion Transformers
Junyi Wu · Haoxuan Wang · Yuzhang Shang · Mubarak Shah · Yan Yan
AID: Attention Interpolation of Text-to-Image Diffusion
He Qiyuan · Jinghao Wang · Ziwei Liu · Angela Yao
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
Jiahua Dong · Wenqi Liang · Hongliu Li · Duzhen Zhang · Meng Cao · Henghui Ding · Salman Khan · Fahad Shahbaz Khan
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals
Sandeep Mishra · Oindrila Saha · Alan Bovik
Optical Diffusion Models for Image Generation
Ilker Oguz · Niyazi Dinc · Mustafa Yildirim · Junjie Ke · Innfarn Yoo · Qifei Wang · Feng Yang · Christophe Moser · Demetri Psaltis
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models
Kyungmin Lee · Sangkyung Kwak · Kihyuk Sohn · Jinwoo Shin
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
Wei Pang · Masoumeh Shafieinejad · Lucy Liu · Stephanie Hazlewood · Xi He
Images that Sound: Composing Images and Sounds on a Single Canvas
Ziyang Chen · Daniel Geng · Andrew Owens
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
Giangiacomo Mercatali · Yogesh Verma · Andre Freitas · Vikas Garg
Efficient Prompt Optimization Through the Lens of Best Arm Identification
Chengshuai Shi · Kun Yang · Zihan Chen · Jundong Li · Jing Yang · Cong Shen
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
Hanzhang Zhou · Zijian Feng · Zixiao Zhu · Junlang Qian · Kezhi Mao
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
Yingcong Li · Ankit Rawat · Samet Oymak
Localized Zeroth-Order Prompt Optimization
Wenyang Hu · Yao Shu · Zongmin Yu · Zhaoxuan Wu · Xiaoqiang Lin · Zhongxiang Dai · See-Kiong Ng · Bryan Kian Hsiang Low
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
Zhaoxuan Wu · Xiaoqiang Lin · Zhongxiang Dai · Wenyang Hu · Yao Shu · See-Kiong Ng · Patrick Jaillet · Bryan Kian Hsiang Low
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
Dake Bu · Wei Huang · Andi Han · Atsushi Nitanda · Taiji Suzuki · Qingfu Zhang · Hau-San Wong
Solving Inverse Problems via Diffusion Optimal Control
Henry Li · Marcus Pereira
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
qinpeng cui · yixuan liu · Xinyi Zhang · Qiqi Bao · Qingmin Liao · liwang Amd · Lu Tian · Zicheng Liu · Zhongdao Wang · Emad Barsoum
Towards Editing Time Series
Baoyu Jing · Shuqi Gu · Tianyu Chen · Zhiyu Yang · Dongsheng Li · Jingrui He · Kan Ren
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
Hamid Kamkari · Brendan Ross · Rasa Hosseinzadeh · Jesse Cresswell · Gabriel Loaiza-Ganem
Phased Consistency Models
Fu-Yun Wang · Zhaoyang Huang · Alexander Bergman · Dazhong Shen · Peng Gao · Michael Lingelbach · Keqiang Sun · Weikang Bian · Guanglu Song · Yu Liu · Xiaogang Wang · Hongsheng Li
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
JIYING ZHANG · Zijing Liu · Yu Wang · Bin Feng · Yu Li
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
Chengzhengxu Li · Xiaoming Liu · Zhaohan Zhang · Yichen Wang · Chen Liu · Yu Lan · Chao Shen
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
Rohan Baskar Prabhakar · Hengrui Zhang · David Wentzlaff
Are Large Language Models Good Statisticians?
Yizhang Zhu · Shiyin Du · Boyan Li · Yuyu Luo · Nan Tang
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
Kaiqu Liang · Zixu Zhang · Jaime Fisac
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
Liyi Chen · Panrong Tong · Zhongming Jin · Ying Sun · Jieping Ye · Hui Xiong
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
Chenghao Fan · Zhenyi Lu · Wei Wei · Jie Tian · Xiaoye Qu · Dangyang Chen · Yu Cheng
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
Sadegh Mahdavi · Raquel Aoki · Keyi Tang · Yanshuai Cao
Transformers Can Do Arithmetic with the Right Embeddings
Sean McLeish · Arpit Bansal · Alex Stein · Neel Jain · John Kirchenbauer · Brian Bartoldson · Bhavya Kailkhura · Abhinav Bhatele · Jonas Geiping · Avi Schwarzschild · Tom Goldstein
Learning Formal Mathematics From Intrinsic Motivation
Gabriel Poesia · David Broman · Nick Haber · Noah Goodman
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
Zhonghao Wang · Danyu Sun · Sheng Zhou · Haobo Wang · Jiapei Fan · Longtao Huang · Jiajun Bu
Uncovering the Redundancy in Graph Self-supervised Learning Models
Zhibiao Wang · Xiao Wang · Haoyue Deng · Nian Liu · Shirui Pan · Chunming Hu
Generalizing CNNs to graphs with learnable neighborhood quantization
Isaac Osafo Nkansah · Neil Gallagher · Ruchi Sandilya · Conor Liston · Logan Grosenick
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
Jingbo Zhou · Yixuan Du · Ruqiong Zhang · Jun Xia · Zhizhi Yu · Zelin Zang · Di Jin · Carl Yang · Rui Zhang · Stan Z. Li
Vector Quantization Prompting for Continual Learning
Li Jiao · Qiuxia LAI · YU LI · Qiang Xu
The Intelligible and Effective Graph Neural Additive Network
Maya Bechler-Speicher · Amir Globerson · Ran Gilad-Bachrach
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
Yulia Rubanova · Tatiana Lopez-Guevara · Kelsey Allen · Will Whitney · Kimberly Stachenfeld · Tobias Pfaff
Analysis of Corrected Graph Convolutions
Robert Wang · Aseem Baranwal · Kimon Fountoulakis
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
YUJIE MO · Zhihe Lu · Runpeng Yu · Xiaofeng Zhu · Xinchao Wang
Almost Surely Asymptotically Constant Graph Neural Networks
Sam Adam-Day · Michael Benedikt · Ismail Ceylan · Ben Finkelshtein
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
Guy Bar-Shalom · Yam Eitan · Fabrizio Frasca · Haggai Maron
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
Raffaele Paolino · Sohir Maskey · Pascal Welke · Gitta Kutyniok
Scale Equivariant Graph Metanetworks
Ioannis Kalogeropoulos · Giorgos Bouritsas · Yannis Panagakis
On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
Paolo Pellizzoni · Till Hendrik Schulz · Dexiong Chen · Karsten Borgwardt
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
Dong Li · Aijia Zhang · Junqi Gao · Biqing Qi
Graph Neural Networks Need Cluster-Normalize-Activate Modules
Arseny Skryagin · Felix Divo · Mohammad Amin Ali · Devendra S Dhami · Kristian Kersting
On the Scalability of GNNs for Molecular Graphs
Maciej Sypetkowski · Frederik Wenkel · Farimah Poursafaei · Nia Dickson · Karush Suri · Philip Fradkin · Dominique Beaini
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
Shangshang Yang · Mingyang Chen · Ziwen Wang · Xiaoshan Yu · Panpan Zhang · Haiping Ma · Xingyi Zhang
If You Want to Be Robust, Be Wary of Initialization
Sofiane ENNADIR · Johannes Lutzeyer · Michalis Vazirgiannis · El Houcine Bergou
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
Ruijiang Gao · Mingzhang Yin · Maytal Saar-Tsechansky
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
Rohan Gupta · Iván Arcuschin Moreno · Thomas Kwa · Adrià Garriga-Alonso
Towards Multi-dimensional Explanation Alignment for Medical Classification
Lijie Hu · Songning Lai · Wenshuo Chen · Hongru Xiao · Hongbin Lin · Lu Yu · Jingfeng ZHANG · Di Wang
Finding Transformer Circuits With Edge Pruning
Adithya Bhaskar · Alexander Wettig · Dan Friedman · Danqi Chen
A hierarchical decomposition for explaining ML performance discrepancies
Harvineet Singh · Fan Xia · Adarsh Subbaswamy · Alexej Gossmann · Jean Feng
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
Fawaz Sammani · Nikos Deligiannis
Listenable Maps for Zero-Shot Audio Classifiers
Francesco Paissan · Luca Della Libera · Mirco Ravanelli · Cem Subakan
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
Qiheng Sun · Haocheng Xia · Jinfei Liu
Learning to Understand: Identifying Interactions via the Möbius Transform
Justin Kang · Yigit Efe Erginbas · Landon Butler · Ramtin Pedarsani · Kannan Ramchandran
Navigating the Effect of Parametrization for Dimensionality Reduction
Haiyang Huang · Yingfan Wang · Cynthia Rudin
Using Noise to Infer Aspects of Simplicity Without Learning
Zachery Boner · Harry Chen · Lesia Semenova · Ronald Parr · Cynthia Rudin
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
Adam Karvonen · Benjamin Wright · Can Rager · Rico Angell · Jannik Brinkmann · Logan Smith · Claudio Mayrink Verdun · David Bau · Samuel Marks
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
Isabelle Hurley · Rohan Paleja · Ashley Suh · Jaime D Pena · Ho Chit Siu
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
Deqing Fu · Tian-qi Chen · Robin Jia · Vatsal Sharan
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Sonia Laguna · Ričards Marcinkevičs · Moritz Vandenhirtz · Julia Vogt
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
Tang Li · Mengmeng Ma · Xi Peng
Measuring Per-Unit Interpretability at Scale Without Humans
Roland S. Zimmermann · David Klindt · Wieland Brendel
Interpreting Learned Feedback Patterns in Large Language Models
Luke Marks · Amir Abdullah · Clement Neo · Rauno Arike · David Krueger · Philip Torr · Fazl Barez
Understanding Emergent Abilities of Language Models from the Loss Perspective
Zhengxiao Du · Aohan Zeng · Yuxiao Dong · Jie Tang
Improving Context-Aware Preference Modeling for Language Models
Silviu Pitis · Ziang Xiao · Nicolas Le Roux · Alessandro Sordoni
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
Dan Zhang · Sining Zhoubian · Ziniu Hu · Yisong Yue · Yuxiao Dong · Jie Tang
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
Yi Ren · Shangmin Guo · Linlu Qiu · Bailin Wang · Danica J. Sutherland
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
Qiaoyu Tang · Jiawei Chen · Zhuoqun Li · Bowen Yu · Yaojie Lu · ChengFu · Haiyang Yu · Hongyu Lin · Fei Huang · Ben He · Xianpei Han · Le Sun · Yongbin Li
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
Zichao Li · Yanshuai Cao · Jackie CK Cheung
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications
Dingkang Yang · Jinjie Wei · Dongling Xiao · Shunli Wang · Tong Wu · Gang Li · Mingcheng Li · Shuaibing Wang · Jiawei Chen · Yue Jiang · Qingyao Xu · Ke Li · Peng Zhai · Lihua Zhang
CiteME: Can Language Models Accurately Cite Scientific Claims?
Ori Press · Andreas Hochlehnert · Ameya Prabhu · Vishaal Udandarao · Ofir Press · Matthias Bethge
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
Yuzhe Gu · Ziwei Ji · Wenwei Zhang · Chengqi Lyu · Dahua Lin · Kai Chen
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
Jianyi Zhang · Da-Cheng Juan · Cyrus Rashtchian · Chun-Sung Ferng · Heinrich Jiang · Yiran Chen
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
Zian Su · Xiangzhe Xu · Ziyang Huang · Kaiyuan Zhang · Xiangyu Zhang
MKGL: Mastery of a Three-Word Language
Lingbing Guo · Zhongpu Bo · Zhuo Chen · Yichi Zhang · Jiaoyan Chen · Lan Yarong · Mengshu Sun · Zhiqiang Zhang · Yangyifei Luo · Qian Li · Qiang Zhang · Wen Zhang · Huajun Chen
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
Kai Xiong · Xiao Ding · Ting Liu · Bing Qin · Dongliang Xu · Qing Yang · Hongtao Liu · Yixin Cao
Evaluating language models as risk scores
André F. Cruz · Moritz Hardt · Celestine Mendler-Dünner
Image-aware Evaluation of Generated Medical Reports
Gefen Dawidowicz · Elad Hirsch · Ayellet Tal
Understanding Transformers via N-Gram Statistics
Timothy Nguyen
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
Luohe Shi · Yao Yao · Zuchao Li · Lefei Zhang · Hai Zhao
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
Gongfan Fang · Hongxu Yin · Saurav Muralidharan · Greg Heinrich · Jeff Pool · Jan Kautz · Pavlo Molchanov · Xinchao Wang
ConStat: Performance-Based Contamination Detection in Large Language Models
Jasper Dekoninck · Mark Müller · Martin Vechev
SimPO: Simple Preference Optimization with a Reference-Free Reward
Yu Meng · Mengzhou Xia · Danqi Chen
ProgressGym: Alignment with a Millennium of Moral Progress
Tianyi (Alex) Qiu · Yang Zhang · Xuchuan Huang · Jasmine Li · Jiaming Ji · Yaodong Yang
FINALLY: fast and universal speech enhancement with studio-like quality
Nicholas Babaev · Kirill Tamogashev · Azat Saginbaev · Ivan Shchekotov · Hanbin Bae · Hosang Sung · WonJun Lee · Hoon-Young Cho · Pavel Andreev
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
Leying Zhang · Yao Qian · Long Zhou · Shujie LIU · Dongmei Wang · Xiaofei Wang · Midia Yousefi · Yanmin Qian · Jinyu Li · Lei He · sheng zhao · Michael Zeng
CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing
Yen-Ju Lu · Jing Liu · Thomas Thebaud · Laureano Moro-Velazquez · Ariya Rastrow · Najim Dehak · Jesus Villalba
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan · Saurabh Garg · Mrigank Raman · Carlos Guestrin · Zachary Lipton
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
Zekun Shi · Zheyuan Hu · Min Lin · Kenji Kawaguchi
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Yan Sun · Li Shen · Dacheng Tao
Multi-Label Open Set Recognition
Yibo Wang · Jun-Yi Hang · Min-Ling Zhang
Dense Associative Memory Through the Lens of Random Features
Benjamin Hoover · Duen Horng Chau · Hendrik Strobelt · Parikshit Ram · Dmitry Krotov
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
Cong Xu · Jun Wang · Jianyong Wang · Wei Zhang
Collaborative Refining for Learning from Inaccurate Labels
BIN HAN · Yi-Xuan Sun · Ya-Lin Zhang · Libang Zhang · Haoran Hu · Longfei Li · Jun Zhou · Guo Ye · HUIMEI HE
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
Ethan Harvey · Mikhail Petrov · Michael Hughes
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse
Samuel Lippl · Jack Lindsey
Cross-modal Representation Flattening for Multi-modal Domain Generalization
Yunfeng FAN · Wenchao Xu · Haozhao Wang · Song Guo
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
Hugo Malard · Michel Olvera · Stéphane Lathuilière · Slim Essid
Tackling Uncertain Correspondences for Multi-Modal Entity Alignment
Liyi Chen · Ying Sun · Shengzhe Zhang · Yuyang Ye · Wei Wu · Hui Xiong
Grounding Multimodal Large Language Models in Actions
Andrew Szot · Bogdan Mazoure · Harsh Agrawal · R Devon Hjelm · Zsolt Kira · Alexander Toshev
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
Irene Huang · Wei Lin · Muhammad Jehanzeb Mirza · Jacob Hansen · Sivan Doveh · Victor Butoi · Roei Herzig · Assaf Arbelle · Hilde Kuehne · Trevor Darrell · Chuang Gan · Aude Oliva · Rogerio Feris · Leonid Karlinsky
Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
Josselin Roberts · Tony Lee · Chi Heem Wong · Michihiro Yasunaga · Yifan Mai · Percy Liang
Continuous Partitioning for Graph-Based Semi-Supervised Learning
Chester Holtz · Pengwen Chen · Zhengchao Wan · Chung-Kuan Cheng · Gal Mishne
Reinforcement Learning Guided Semi-Supervised Learning
Marzi Heidari · Hanping Zhang · Yuhong Guo
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Peter Tong · Ellis Brown · Penghao Wu · Sanghyun Woo · Adithya Jairam Vedagiri IYER · Sai Charitha Akula · Shusheng Yang · Jihan Yang · Manoj Middepogu · Ziteng Wang · Xichen Pan · Rob Fergus · Yann LeCun · Saining Xie
MambaTree: Tree Topology is All You Need in State Space Model
Yicheng Xiao · Lin Song · shaoli huang · Jiangshan Wang · Siyu Song · Yixiao Ge · Xiu Li · Ying Shan
Unity by Diversity: Improved Representation Learning for Multimodal VAEs
Thomas Sutter · Yang Meng · Andrea Agostini · Daphné Chopard · Norbert Fortin · Julia Vogt · Babak Shahbaba · Stephan Mandt
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
Jiachen Liang · RuiBing Hou · Minyang Hu · Hong Chang · Shiguang Shan · Xilin Chen
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
Matteo Farina · Gianni Franchi · Giovanni Iacca · Massimiliano Mancini · Elisa Ricci
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
Hanwei Zhu · Haoning Wu · Yixuan Li · Zicheng Zhang · Baoliang Chen · Lingyu Zhu · Yuming Fang · Guangtao Zhai · Weisi Lin · Shiqi Wang
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
Saurav Jha · Dong Gong · Lina Yao
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
Jie Ma · Min Hu · Pinghui Wang · Wangchun Sun · Lingyun Song · Hongbin Pei · Jun Liu · Youtian Du
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
Jiawei Yao · Qi Qian · Juhua Hu
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
Haoyu Chen · Wenbo Li · JINJIN GU · Jingjing Ren · Sixiang Chen · Tian Ye · Renjing Pei · Kaiwen Zhou · Fenglong Song · Lei Zhu
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
Spandan Madan · Will Xiao · Mingran Cao · Hanspeter Pfister · Margaret Livingstone · Gabriel Kreiman
Bridging semantics and pragmatics in information-theoretic emergent communication
Eleonora Gualdoni · Mycal Tucker · Roger Levy · Noga Zaslavsky
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
Liwei Huang · Zhengyu Ma · Liutao Yu · Huihui Zhou · Yonghong Tian
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
Shuangpeng Han · Ziyu Wang · Mengmi Zhang
fMRI predictors based on language models of increasing complexity recover brain left lateralization
Laurent Bonnasse-Gahot · Christophe Pallier
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
Dongyang Li · Chen Wei · Shiying Li · Jiachen Zou · Quanying Liu
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
Matthias Tangemann · Matthias Kümmerer · Matthias Bethge
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
Georgios Mentzelopoulos · Evangelos Chatzipantazis · Ashwin Ramayya · Michelle Hedlund · Vivek Buch · Kostas Daniilidis · Konrad Kording · Flavia Vitale
Visual Pinwheel Centers Act as Geometric Saliency Detectors
Haixin Zhong · Mingyi Huang · Wei Dai · Haoyu Wang · Anna Roe · Yuguo Yu
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
William Qian · Jacob Zavatone-Veth · Ben Ruben · Cengiz Pehlevan
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes
Lucine L Oganesian · Omid G. Sani · Maryam Shanechi
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
Junyi Cao · Shanyan Guan · Yanhao Ge · Wei Li · Xiaokang Yang · Chao Ma
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks
Hangchi Shen · Qian Zheng · Huamin Wang · Gang Pan
Unconditional stability of a recurrent neural circuit implementing divisive normalization
Shivang Rawat · David Heeger · Stefano Martiniani
SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation
Sangwoo Hwang · Seunghyun Lee · Dahoon Park · Donghun Lee · Jaeha Kung
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
Hui Zheng · Haiteng Wang · Weibang Jiang · Zhongtao Chen · Li He · Peiyang Lin · Penghu Wei · Guoguang Zhao · Yunzhe Liu
Feedback control guides credit assignment in recurrent neural networks
Klara Kaleb · Barbara Feulner · Juan Gallego · Claudia Clopath
Combining Observational Data and Language for Species Range Estimation
Max Hamilton · Christian Lange · Elijah Cole · Alexander Shepard · Samuel Heinrich · Oisin Mac Aodha · Grant Van Horn · Subhransu Maji
Neural Persistence Dynamics
Sebastian Zeng · Florian Graf · Martin Uray · Stefan Huber · Roland Kwitt
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
Kun Chen · Peng Ye · Hao Chen · kang chen · Tao Han · Wanli Ouyang · Tao Chen · LEI BAI
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Mohamed Elrefaie · Florin Morar · Angela Dai · Faez Ahmed
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
Yanpeng Ye · Jie Ren · Shaozhou Wang · Yuwei Wan · Imran Razzak · Bram Hoex · Haofen Wang · Tong Xie · Wenjie Zhang
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
Armand Kassaï Koupaï · Jorge Mifsut Benet · Yuan Yin · Jean-Noël Vittaut · Patrick Gallinari
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
Eric Qu · Aditi Krishnapriyan
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
Navami Kairanda · Marc Habermann · Christian Theobalt · Vladislav Golyanik
Robust Gaussian Processes via Relevance Pursuit
Sebastian Ament · Elizabeth Santorella · David Eriksson · Ben Letham · Maximilian Balandat · Eytan Bakshy
Amortized Bayesian Experimental Design for Decision-Making
Daolang Huang · Yujia Guo · Luigi Acerbi · Samuel Kaski
Practical Bayesian Algorithm Execution via Posterior Sampling
Chu Xin Cheng · Raul Astudillo · Thomas A Desautels · Yisong Yue
BMRS: Bayesian Model Reduction for Structured Pruning
Dustin Wright · Christian Igel · Raghavendra Selvan
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Luckeciano Carvalho Melo · Panagiotis Tigas · Alessandro Abate · Yarin Gal
Learning via Surrogate PAC-Bayes
Antoine Picard · Roman Moscoviz · Benjamin Guedj
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Julius Vetter · Guy Moss · Cornelius Schröder · Richard Gao · Jakob H Macke
Neural Conditional Probability for Uncertainty Quantification
Vladimir Kostic · Grégoire Pacreau · Giacomo Turri · Pietro Novelli · Karim Lounici · Massimiliano Pontil
Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments
Wen-Bo Du · Tian Qin · Tian-Zuo Wang · Zhi-Hua Zhou
Expected Probabilistic Hierarchies
Marcel Kollovieh · Bertrand Charpentier · Daniel Zügner · Stephan Günnemann
Streaming Bayes GFlowNets
Tiago Silva · Daniel Augusto de Souza · Diego Mesquita
Parametric model reduction of mean-field and stochastic systems via higher-order action matching
Jules Berman · Tobias Blickhan · Benjamin Peherstorfer
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
Syrine Belakaria · Ben Letham · Jana Doppa · Barbara Engelhardt · Stefano Ermon · Eytan Bakshy
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
Patrick Pynadath · Riddhiman Bhattacharya · ARUN HARIHARAN · Ruqi Zhang
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
Alberto Cabezas · Louis Sharrock · Christopher Nemeth
Globally Convergent Variational Inference
Declan McNamara · Jackson Loper · Jeffrey Regier
Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families
François Bertholom · randal douc · François Roueff
Particle Semi-Implicit Variational Inference
Jen Ning Lim · Adam Johansen
ClevrSkills: Compositional Language And Visual Reasoning in Robotics
Sanjay Haresh · Daniel Dijkman · Apratim Bhattacharyya · Roland Memisevic
Omnigrasp: Grasping Diverse Objects with Simulated Humanoids
Zhengyi Luo · Jinkun Cao · Sammy Christen · Alexander Winkler · Kris Kitani · Weipeng Xu
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks
Zaijing Li · Yuquan Xie · Rui Shao · Gongwei Chen · Dongmei Jiang · Liqiang Nie
GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation
Haoran Lu · Ruihai Wu · Yitong Li · Sijie Li · Ziyu Zhu · Chuanruo Ning · Yan Zhao · Longzan Luo · Yuanpei Chen · Hao Dong
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
Zichen Cui · Hengkai Pan · Aadhithya Iyer · Siddhant Haldar · Lerrel Pinto
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
Xinlei Wang · Maike Feng · Jing Qiu · JINJIN GU · Junhua Zhao
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
Manuel Brenner · Christoph Jürgen Hemmer · Zahra Monfared · Daniel Durstewitz
Retrieval-Augmented Diffusion Models for Time Series Forecasting
Jingwei Liu · Ling Yang · Hongyan Li · Shenda Hong
Multivariate Probabilistic Time Series Forecasting with Correlated Errors
Vincent Zhihao Zheng · Lijun Sun
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
Qingxiang Liu · Xu Liu · Chenghao Liu · Qingsong Wen · Yuxuan Liang
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
Chengsen Wang · Qi Qi · Jingyu Wang · Haifeng Sun · Zirui Zhuang · Jinming Wu · Jianxin Liao
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
Qiang Wu · Gechang Yao · Zhixi Feng · Yang Shuyuan
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms
Fan Yao · Yiming Liao · Jingzhou Liu · Shaoliang Nie · Qifan Wang · Haifeng Xu · Hongning Wang
The Surprising Effectiveness of SP Voting with Partial Preferences
Hadi Hosseini · Debmalya Mandal · Amrit Puhan
Pricing and Competition for Generative AI
Rafid Mahmood
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
Jianbiao Mei · Yukai Ma · Xuemeng Yang · Licheng Wen · Xinyu Cai · Xin Li · Daocheng Fu · Bo Zhang · Pinlong Cai · Min Dou · Botian Shi · Liang He · Yong Liu · Yu Qiao
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
Zhongchao Yi · Zhengyang Zhou · Qihe Huang · Yanjiang Chen · Liheng Yu · Xu Wang · Yang Wang
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
Jinliang Deng · Feiyang Ye · Du Yin · Xuan Song · Ivor Tsang · Hui Xiong
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
Yichi Zhang · Yao Huang · Yitong Sun · Chang Liu · Zhe Zhao · Zhengwei Fang · Yifan Wang · Huanran Chen · Xiao Yang · Xingxing Wei · Hang Su · Yinpeng Dong · Jun Zhu
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques
Derui Zhu · Dingfan Chen · Xiongfei Wu · Jiahui Geng · Zhuo Li · Jens Grossklags · Lei Ma
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
Patrick Chao · Edoardo Debenedetti · Alexander Robey · Maksym Andriushchenko · Francesco Croce · Vikash Sehwag · Edgar Dobriban · Nicolas Flammarion · George J. Pappas · Florian Tramer · Hamed Hassani · Eric Wong
On the Adversarial Robustness of Benjamini Hochberg
Louis Chen · Roberto Szechtman · Matan Seri
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
Hao Dong · Yue Zhao · Eleni Chatzi · Olga Fink
HonestLLM: Toward an Honest and Helpful Large Language Model
Gao Chujie · Siyuan Wu · Yue Huang · Dongping Chen · Qihui Zhang · Zhengyan Fu · Yao Wan · Lichao Sun · Xiangliang Zhang
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
Mingyuan Fan · Xiaodan Li · Cen Chen · Wenmeng Zhou · Yaliang Li
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Changdae Oh · Hyesu Lim · Mijoo Kim · Dongyoon Han · Sangdoo Yun · Jaegul Choo · Alexander Hauptmann · Zhi-Qi Cheng · Kyungwoo Song
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models
Chia-Yi Hsu · Yu-Lin Tsai · Chih-Hsun Lin · Pin-Yu Chen · Chia-Mu Yu · Chun-Ying Huang
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
Ethan Rathbun · Christopher Amato · Alina Oprea
HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets
Yang Yang · Wendi Ren · Shuang Li
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning
Wenke Huang · Mang Ye · Zekun Shi · Guancheng Wan · He Li · Bo Du
Unelicitable Backdoors via Cryptographic Transformer Circuits
Andis Draguns · Andrew Gritsevskiy · Sumeet Motwani · Christian Schroeder de Witt
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
Thibault Simonetto · Salah GHAMIZI · Maxime Cordy
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
Rohan Paleja · Michael Munje · Kimberlee Chang · Reed Jensen · Matthew Gombolay
Faster Repeated Evasion Attacks in Tree Ensembles
Lorenzo Cascioli · Laurens Devos · Ondrej Kuzelka · Jesse Davis
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning
Stefan Pranger · Hana Chockler · Martin Tappler · Bettina Könighofer
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups
Fengyu Gao · Ruiquan Huang · Jing Yang
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
YANRUI DU · Sendong Zhao · Danyang Zhao · Ming Ma · Yuhan Chen · Liangyu Huo · Qing Yang · Dongliang Xu · Bing Qin
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
Weilin Lin · Li Liu · Shaokui Wei · Jianze Li · Hui Xiong
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
jingnan zheng · Han Wang · An Zhang · Nguyen Duy Tai · Jun Sun · Tat-Seng Chua
Provable Editing of Deep Neural Networks using Parametric Linear Relaxation
Zhe Tao · Aditya V Thakur
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
Alexander Nikitin · Jannik Kossen · Yarin Gal · Pekka Marttinen
Query-Based Adversarial Prompt Generation
Jonathan Hayase · Ema Borevković · Nicholas Carlini · Florian Tramer · Milad Nasr
Efficient multi-prompt evaluation of LLMs
Felipe Maia Polo · Ronald Xu · Lucas Weber · Mírian Silva · Onkar Bhardwaj · Leshem Choshen · Allysson de Oliveira · Yuekai Sun · Mikhail Yurochkin
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
Xun Xian · Ganghua Wang · Xuan Bi · Jayanth Srinivasa · Ashish Kundu · Mingyi Hong · Jie Ding
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Haitao Li · You Chen · Qingyao Ai · Yueyue WU · Ruizhe Zhang · Yiqun LIU
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
Deyu Zou · Shikun Liu · Siqi Miao · Victor Fung · Shiyu Chang · Pan Li
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
Wei Chen · Xixuan Hao · Yuankai Wu · Yuxuan Liang
UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels
Jacob Silberg · Kyle Swanson · Elana Simon · Angela Zhang · Zaniar Ghazizadeh · Scott Ogden · Hisham Hamadeh · James Zou
LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication
Xianzhi Zeng · Wenchao Jiang · Shuhao Zhang
Learning Superconductivity from Ordered and Disordered Material Structures
Pin Chen · Luoxuan Peng · Rui Jiao · Qing Mo · Zhen Wang · Wenbing Huang · Yang Liu · Yutong Lu
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark
Edward Vendrow · Omiros Pantazis · Alexander Shepard · Gabriel Brostow · Kate Jones · Oisin Mac Aodha · Sara Beery · Grant Van Horn
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner
Wenliang Zhao · Minglei Shi · Xumin Yu · Jie Zhou · Jiwen Lu
Noise Contrastive Alignment of Language Models with Explicit Rewards
Huayu Chen · Guande He · Lifan Yuan · Ganqu Cui · Hang Su · Jun Zhu
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
Dong HUANG · Jianbo Dai · Han Weng · Puzhen Wu · Yuhao QING · Heming Cui · Zhijiang Guo · Jie Zhang
Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting
Yian Wang · Xiaowen Qiu · Jiageng Liu · Zhehuan Chen · Jiting Cai · Yufei Wang · Tsun-Hsuan Johnson Wang · Zhou Xian · Chuang Gan
Non-convolutional graph neural networks.
Yuanqing Wang · Kyunghyun Cho
SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
Ruslan Svirschevski · Avner May · Zhuoming Chen · Beidi Chen · Zhihao Jia · Max Ryabinin
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
Junke Wang · Yi Jiang · Zehuan Yuan · BINGYUE PENG · Zuxuan Wu · Yu-Gang Jiang
Achievable distributional robustness when the robust risk is only partially identified
Julia Kostin · Nicola Gnecco · Fanny Yang
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
Yihe Deng · Pan Lu · Fan Yin · Ziniu Hu · Sheng Shen · Quanquan Gu · James Zou · Kai-Wei Chang · Wei Wang
Spatio-Spectral Graph Neural Networks
Simon Markus Geisler · Arthur Kosmala · Daniel Herbst · Stephan Günnemann
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
Haonan Lin · Wenbin An · Jiahao Wang · Yan Chen · Feng Tian · Mengmeng Wang · QianYing Wang · Guang Dai · Jingdong Wang
Invisible Image Watermarks Are Provably Removable Using Generative AI
Xuandong Zhao · Kexun Zhang · Zihao Su · Saastha Vasan · Ilya Grishchenko · Christopher Kruegel · Giovanni Vigna · Yu-Xiang Wang · Lei Li
IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation
Fei Shen · Jinhui Tang
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
Puqian Wang · Nikos Zarifis · Ilias Diakonikolas · Jelena Diakonikolas
Observational Scaling Laws and the Predictability of Langauge Model Performance
Yangjun Ruan · Chris Maddison · Tatsunori Hashimoto
Leveraging Separated World Model for Exploration in Visually Distracted Environments
Kaichen Huang · Shenghua Wan · Minghao Shao · Hai-Hang Sun · Le Gan · Shuai Feng · De-Chuan Zhan
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Shirley Wu · Kaidi Cao · Bruno Ribeiro · James Zou · Jure Leskovec
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
Yuchuan Tian · Zhijun Tu · Hanting Chen · Jie Hu · Chao Xu · Yunhe Wang
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
Chenlu Ye · Wei Xiong · Yuheng Zhang · Hanze Dong · Nan Jiang · Tong Zhang
Universal Neural Functionals
Allan Zhou · Chelsea Finn · James Harrison
UniIF: Unified Molecule Inverse Folding
Zhangyang Gao · Jue Wang · Cheng Tan · Lirong Wu · Yufei Huang · Siyuan Li · Zhirui Ye · Stan Z. Li
FUSE: Fast Unified Simulation and Estimation for PDEs
Levi Lingsch · Dana Grund · Siddhartha Mishra · Georgios Kissas
Domain Adaptation for Large-Vocabulary Object Detectors
Kai Jiang · Jiaxing Huang · Weiying Xie · Jie Lei · Yunsong Li · Ling Shao · Shijian Lu
Noether's Razor: Learning Conserved Quantities
Tycho van der Ouderaa · Mark van der Wilk · Pim de Haan
Generalization Analysis for Label-Specific Representation Learning
Yi-Fan Zhang · Min-Ling Zhang
Auditing Local Explanations is Hard
Robi Bhattacharjee · Ulrike Luxburg
Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding
Chuyang Zhao · YuXin Song · Junru Chen · KANG RONG · Haocheng Feng · Gang Zhang · Shufan Ji · Jingdong Wang · Errui Ding · Yifan Sun
Infinite Limits of Multi-head Transformer Dynamics
Blake Bordelon · Hamza Chaudhry · Cengiz Pehlevan
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
Tian Huang · Shengbo Wang · Ke Li
SparseLLM: Towards Global Pruning of Pre-trained Language Models
Guangji Bai · Yijiang Li · Chen LING · Kibaek Kim · Liang Zhao
Tell What You Hear From What You See - Video to Audio Generation Through Text
Xiulong Liu · Kun Su · Eli Shlizerman
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
Jeongyeol Kwon · Shie Mannor · Constantine Caramanis · Yonathan Efroni
Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
Ioannis Anagnostides · Tuomas Sandholm
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
Haiquan Lu · Yefan Zhou · Shiwei Liu · Zhangyang "Atlas" Wang · Michael Mahoney · Yaoqing Yang
Exploring Token Pruning in Vision State Space Models
Zheng Zhan · Zhenglun Kong · Yifan Gong · Yushu Wu · Zichong Meng · Hangyu Zheng · Xuan Shen · Stratis Ioannidis · Wei Niu · Pu Zhao · Yanzhi Wang
Go to Event Page
Test Of Time

Test Of Time

Ian Goodfellow · David Warde-Farley · Quoc Le
1:45 PM - 2:30 PM

Generative Adversarial Nets Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio

Presented by Ian Goodfellow and David Warde-Farley

Paper Abstract: We propose a new framework for estimating generative models via adversarial nets, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that a sample came from the training data rather than G. The training procedure for G is to maximize the probability of D making a mistake. This framework corresponds to a minimax two-player game. In the space of arbitrary functions G and D, a unique solution exists, with G recovering the training data distribution and D equal to 1/2 everywhere. In the case where G and D are defined by multilayer perceptrons, the entire system can be trained with backpropagation. There is no need for any Markov chains or unrolled approximate inference networks during either training or generation of samples. Experiments demonstrate the potential of the framework through qualitative and quantitatively evaluation of the generated samples.

Sequence to Sequence Learning with Neural Networks Ilya Sutskever, Oriol Vinyals, Quoc V. Le

Paper Abstract: Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets are available, they cannot be used to map sequences to sequences. In this paper, we present a general end-to-end approach to sequence learning that makes minimal assumptions on the sequence structure. Our method uses a multilayered Long Short-Term Memory (LSTM) to map the input sequence to a vector of a fixed dimensionality, and then another deep LSTM to decode the target sequence from the vector. Our main result is that on an English to French translation task from the WMT-14 dataset, the translations produced by the LSTM achieve a BLEU score of 34.8 on the entire test set, where the LSTM's BLEU score was penalized on out-of-vocabulary words. Additionally, the LSTM did not have difficulty on long sentences. For comparison, a phrase-based SMT system achieves a BLEU score of 33.3 on the same dataset. When we used the LSTM to rerank the 1000 hypotheses produced by the aforementioned SMT system, its BLEU score increases to 36.5, which is close to the previous state of the art. The LSTM also learned sensible phrase and sentence representations that are sensitive to word order and are relatively invariant to the active and the passive voice. Finally, we found that reversing the order of the words in all source sentences (but not target sentences) improved the LSTM's performance markedly, because doing so introduced many short term dependencies between the source and the target sentence which made the optimization problem easier.

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Invited Talk
2:30 PM - 3:30 PM

Anything is optimal given the right criteria: What are the optimal criteria as we invent the future of AI?

This talk explores this question with a series of stories including the development of affective computing, inspired in part by how the human brain uses emotion to help signal what matters to a person. One of these types of signals can be measured on the surface of the skin and has contributed to today’s AI+wearable technology helping save lives. As artificial emotional intelligence abilities grow, what have we learned about how to build optimal AI to engineer a future for people that is truly better?

Hint: It's unlikely to be achieved with scaling up today's models.

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Oral
3:30 PM - 4:30 PM
3 Events in this session
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
Nikhil Khandekar · Qiao Jin · Guangzhi Xiong · Soren Dunn · Serina Applebaum · Zain Anwar · Maame Sarfo-Gyamfi · Conrad Safranek · Abid Anwar · Andrew Zhang · Aidan Gilson · Maxwell Singer · Amisha Dave · Anrew Taylor · Aidong Zhang · Qingyu Chen · Zhiyong Lu
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
Christopher Wang · Adam Yaari · Aaditya Singh · Vighnesh Subramaniam · Dana Rosenfarb · Jan DeWitt · Pranav Misra · Joseph Madsen · Scellig Stone · Gabriel Kreiman · Boris Katz · Ignacio Cases · Andrei Barbu
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Juan Nathaniel · Yongquan Qu · Tung Nguyen · Sungduk Yu · Julius Busecke · Aditya Grover · Pierre Gentine
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Oral
3:30 PM - 4:30 PM
3 Events in this session
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
Yongzhe Jia · Xuyun Zhang · Hongsheng Hu · Kim-Kwang Raymond Choo · Lianyong Qi · Xiaolong Xu · Amin Beheshti · Wanchun Dou
You Only Cache Once: Decoder-Decoder Architectures for Language Models
Yutao Sun · Li Dong · Yi Zhu · Shaohan Huang · Wenhui Wang · Shuming Ma · Quanlu Zhang · Jianyong Wang · Furu Wei
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
YUHONG CHOU · Man Yao · Kexin Wang · Yuqi Pan · Rui-Jie Zhu · Jibin Wu · Yiran Zhong · Yu Qiao · Bo Xu · Guoqi Li
Go to Event Page
Oral
3:30 PM - 4:30 PM
3 Events in this session
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
Nicholas Gao · Stephan Günnemann
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
Yubin Kim · Chanwoo Park · Hyewon Jeong · Yik Siu Chan · Xuhai "Orson" Xu · Daniel McDuff · Hyeonhoon Lee · Marzyeh Ghassemi · Cynthia Breazeal · Hae Park
Graph Diffusion Transformers for Multi-Conditional Molecular Generation
Gang Liu · Jiaxin Xu · Tengfei Luo · Meng Jiang
Go to Event Page
Session
3:30 PM - 4:30 PM
Oral
3:30 PM - 4:30 PM
3 Events in this session
Aligner: Efficient Alignment by Learning to Correct
Jiaming Ji · Boyuan Chen · Hantao Lou · Donghai Hong · Borong Zhang · Xuehai Pan · Tianyi (Alex) Qiu · Juntao Dai · Yaodong Yang
Bayesian-guided Label Mapping for Visual Reprogramming
Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu
A Taxonomy of Challenges to Curating Fair Datasets
Dora Zhao · Morgan Scheuerman · Pooja Chitre · Jerone Andrews · Georgia Panagiotidou · Shawn Walker · Kathleen Pine · Alice Xiang
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Poster
4:30 PM - 7:30 PM
220 Events in this session
Partial Transportability for Domain Generalization
Kasra Jalaldoust · Alexis Bellot · Elias Bareinboim
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
Raj Agrawal · Sam Witty · Andy Zane · Elias Bingham
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
Philipp Froehlich · Heinz Koeppl
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems
Kurt Butler · Daniel Waxman · Petar Djuric
Consistency of Neural Causal Partial Identification
Jiyuan Tan · Jose Blanchet · Vasilis Syrgkanis
Identifying Causal Effects Under Functional Dependencies
Yizuo Chen · Adnan Darwiche
On the Complexity of Identification in Linear Structural Causal Models
Julian Dörfler · Benito van der Zander · Markus Bläser · Maciej Liskiewicz
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences
Mingjia Li · Shuo Liu · Hong Qian · Aimin Zhou
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
Samuele Bortolotti · Emanuele Marconato · Tommaso Carraro · Paolo Morettin · Emile van Krieken · Antonio Vergari · Stefano Teso · Andrea Passerini
UrbanDataLayer: A Unified Data Pipeline for Urban Science
Yiheng Wang · Tianyu Wang · YuYing Zhang · Hongji Zhang · Haoyu Zheng · Guanjie Zheng · Linghe Kong
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems
Huaiyuan Ying · Zijian Wu · Yihan Geng · JIayu Wang · Dahua Lin · Kai Chen
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs
Rudolf Laine · Bilal Chughtai · Jan Betley · Kaivalya Hariharan · Mikita Balesni · Jérémy Scheurer · Marius Hobbhahn · Alexander Meinke · Owain Evans
MathPile: A Billion-Token-Scale Pretraining Corpus for Math
Zengzhi Wang · Xuefeng Li · Rui Xia · Pengfei Liu
CRAG - Comprehensive RAG Benchmark
Xiao Yang · Kai Sun · Hao Xin · Yushi Sun · Nikita Bhalla · Xiangsen Chen · Sajal Choudhary · Rongze Gui · Ziran Jiang · Ziyu Jiang · Lingkun Kong · Brian Moran · Jiaqi Wang · Yifan Xu · An Yan · Chenyu Yang · Eting Yuan · Hanwen Zha · Nan Tang · Lei Chen · Nicolas Scheffer · Yue Liu · Nirav Shah · Rakesh Wanga · Anuj Kumar · Scott Yih · Xin Dong
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
Hexuan Deng · Wenxiang Jiao · Xuebo Liu · Min Zhang · Zhaopeng Tu
3DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition
Mahmoud Ahmed · Xiang Li · Arpit Prajapati · Mohamed Elhoseiny
Streaming Detection of Queried Event Start
Cristobal Eyzaguirre · Eric Tang · Shyamal Buch · Adrien Gaidon · Jiajun Wu · Juan Carlos Niebles
Instruction Tuning Large Language Models to Understand Electronic Health Records
Zhenbang Wu · Anant Dadu · Michael Nalls · Faraz Faghri · Jimeng Sun
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Nemin Wu · Qian Cao · Zhangyu Wang · Zeping Liu · Yanlin Qi · Jielu Zhang · Joshua Ni · X. Yao · Hongxu Ma · Lan Mu · Stefano Ermon · Tanuja Ganu · Akshay Nambi · Ni Lao · Gengchen Mai
DataComp-LM: In search of the next generation of training sets for language models
Jeffrey Li · Alex Fang · Georgios Smyrnis · Maor Ivgi · Matt Jordan · Samir Yitzhak Gadre · Hritik Bansal · Etash Guha · Sedrick Scott Keh · Kushal Arora · Saurabh Garg · Rui Xin · Niklas Muennighoff · Reinhard Heckel · Jean Mercat · Mayee Chen · Suchin Gururangan · Mitchell Wortsman · Alon Albalak · Yonatan Bitton · Marianna Nezhurina · Amro Abbas · Cheng-Yu Hsieh · Dhruba Ghosh · Josh Gardner · Maciej Kilian · Hanlin Zhang · Rulin Shao · Sarah Pratt · Sunny Sanyal · Gabriel Ilharco · Giannis Daras · Kalyani Marathe · Aaron Gokaslan · Jieyu Zhang · Khyathi Chandu · Thao Nguyen · Igor Vasiljevic · Sham Kakade · Shuran Song · Sujay Sanghavi · Fartash Faghri · Sewoong Oh · Luke Zettlemoyer · Kyle Lo · Alaaeldin El-Nouby · Hadi Pouransari · Alexander Toshev · Stephanie Wang · Dirk Groeneveld · Luca Soldaini · Pang Wei Koh · Jenia Jitsev · Thomas Kollar · Alex Dimakis · Yair Carmon · Achal Dave · Ludwig Schmidt · Vaishaal Shankar
MassSpecGym: A benchmark for the discovery and identification of molecules
Roman Bushuiev · Anton Bushuiev · Niek de Jonge · Adamo Young · Fleming Kretschmer · Raman Samusevich · Janne Heirman · Fei Wang · Luke Zhang · Kai Dührkop · Marcus Ludwig · Nils Haupt · Apurva Kalia · Corinna Brungs · Robin Schmid · Russell Greiner · Bo Wang · David Wishart · Liping Liu · Juho Rousu · Wout Bittremieux · Hannes Rost · Tytus Mak · Soha Hassoun · Florian Huber · Justin J.J. van der Hooft · Michael Stravs · Sebastian Böcker · Josef Sivic · Tomáš Pluskal
RelBench: A Benchmark for Deep Learning on Relational Databases
Joshua Robinson · Rishabh Ranjan · Weihua Hu · Kexin Huang · Jiaqi Han · Alejandro Dobles · Matthias Fey · Jan Eric Lenssen · Yiwen Yuan · Zecheng Zhang · Xinwei He · Jure Leskovec
WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics
Neil Ashton · Jordan Angel · Aditya Ghate · Gaetan Kenway · Man Long Wong · Cetin Kiris · Astrid Walle · Danielle Maddix · Gary Page
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
Edoardo Debenedetti · Javier Rando · Daniel Paleka · Silaghi Florin · Dragos Albastroiu · Niv Cohen · Yuval Lemberg · Reshmi Ghosh · Rui Wen · Ahmed Salem · Giovanni Cherubin · Santiago Zanella-Beguelin · Robin Schmid · Victor Klemm · Takahiro Miki · Chenhao Li · Stefan Kraft · Mario Fritz · Florian Tramer · Sahar Abdelnabi · Lea Schönherr
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
Juntao Dai · Tianle Chen · Xuyao Wang · Ziran Yang · Taiye Chen · Jiaming Ji · Yaodong Yang
Benchmark Data Repositories for Better Benchmarking
Rachel Longjohn · Markelle Kelly · Sameer Singh · Padhraic Smyth
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
Peng Xia · Ze Chen · Juanxi Tian · Yangrui Gong · Ruibo Hou · Yue Xu · Zhenbang Wu · Zhiyuan Fan · Yiyang Zhou · Kangyu Zhu · Wenhao Zheng · Zhaoyang Wang · Xiao Wang · Xuchao Zhang · Chetan Bansal · Marc Niethammer · Junzhou Huang · Hongtu Zhu · Yun Li · Jimeng Sun · Zongyuan Ge · Gang Li · James Zou · Huaxiu Yao
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark
Chunhui Zhang · Li Liu · Guanjie Huang · Hao Wen · XI ZHOU · Yanfeng Wang
PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision
Yutao Dou · Huimin Yu · Wei Li · Jingyang Li · Fei Xia · Jian Xiao
EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity
Dominik Hollidt · Paul Streli · Jiaxi Jiang · Yasaman Haghighi · Changlin Qian · Xintong Liu · Christian Holz
Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
Theodore Tsesmelis · Luca Palmieri · Marina Khoroshiltseva · Adeela Islam · Gur Elkin · Ofir I Shahar · Gianluca Scarpellini · Stefano Fiorini · Yaniv Ohayon · Nadav Alali · Sinem Aslan · Pietro Morerio · Sebastiano Vascon · Elena gravina · Maria Napolitano · Giuseppe Scarpati · Gabriel zuchtriegel · Alexandra Spühler · Michel Fuchs · Stuart James · Ohad Ben-Shahar · Marcello Pelillo · Alessio Del Bue
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
Haider Al-Tahan · Quentin Garrido · Randall Balestriero · Diane Bouchacourt · Caner Hazirbas · Mark Ibrahim
On the Effects of Data Scale on UI Control Agents
Wei Li · William Bishop · Alice Li · Christopher Rawles · Folawiyo Campbell-Ajala · Divya Tyamagundlu · Oriana Riva
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
Ge Yang · Changyi He · Jinyang Guo · Jianyu Wu · Yifu Ding · Aishan Liu · Haotong Qin · Pengliang Ji · Xianglong Liu
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
Luca Barsellotti · Roberto Bigazzi · Marcella Cornia · Lorenzo Baraldi · Rita Cucchiara
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
Ziyu Liu · Tao Chu · Yuhang Zang · Xilin Wei · Xiaoyi Dong · Pan Zhang · Zijian Liang · Yuanjun Xiong · Yu Qiao · Dahua Lin · Jiaqi Wang
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Juan Nathaniel · Yongquan Qu · Tung Nguyen · Sungduk Yu · Julius Busecke · Aditya Grover · Pierre Gentine
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
Xingming Long · Jie Zhang · Shiguang Shan · Xilin Chen
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
Jia Li · Ge Li · Xuanming Zhang · YunFei Zhao · Yihong Dong · Zhi Jin · Binhua Li · Fei Huang · Yongbin Li
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
Andrej Tschalzev · Sascha Marton · Stefan Lüdtke · Christian Bartelt · Heiner Stuckenschmidt
A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
Jae-Yong Baek · Yong-Sang Yoo · Seung-Hwan Bae
Global Convergence in Training Large-Scale Transformers
Cheng Gao · Yuan Cao · Zihao Li · Yihan He · Mengdi Wang · Han Liu · Jason Klusowski · Jianqing Fan
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
Yuxin Wang · Duanyu Feng · Yongfu Dai · Zhengyu Chen · Jimin Huang · Sophia Ananiadou · Qianqian Xie · Hao Wang
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
Sukmin Yun · haokun lin · Rusiru Thushara · Mohammad Bhat · Yongxin Wang · zutao jiang · Mingkai Deng · Jinhong Wang · Tianhua Tao · Junbo Li · Haonan Li · Preslav Nakov · Timothy Baldwin · Zhengzhong Liu · Eric Xing · Xiaodan Liang · Zhiqiang Shen
Paloma: A Benchmark for Evaluating Language Model Fit
Ian Magnusson · Akshita Bhagia · Valentin Hofmann · Luca Soldaini · Ananya Harsh Jha · Oyvind Tafjord · Dustin Schwenk · Evan Walsh · Yanai Elazar · Kyle Lo · Dirk Groeneveld · Iz Beltagy · Hanna Hajishirzi · Noah Smith · Kyle Richardson · Jesse Dodge
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
Yu Yang · Siddhartha Mishra · Jeffrey Chiang · Baharan Mirzasoleiman
Fair Kernel K-Means: from Single Kernel to Multiple Kernel
Peng Zhou · Rongwen Li · Liang Du
Achievable Fairness on Your Data With Utility Guarantees
Muhammad Faaiz Taufiq · Jean-Francois Ton · Yang Liu
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew McDermott · Haoran Zhang · Lasse Hansen · Giovanni Angelotti · Jack Gallifant
Fairness in Social Influence Maximization via Optimal Transport
Shubham Chowdhary · Giulia De Pasquale · Nicolas Lanzetti · Ana-Andreea Stoica · Florian Dorfler
Fair Wasserstein Coresets
Zikai Xiong · Niccolo Dalmasso · Shubham Sharma · Freddy Lecue · Daniele Magazzeni · Vamsi Potluru · Tucker Balch · Manuela Veloso
Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
Jing Wang · HaiYing Wang · Hao Zhang
Universal Rates of Empirical Risk Minimization
Steve Hanneke · Mingyue Xu
PAC-Bayes-Chernoff bounds for unbounded losses
Ioar Casado Telletxea · Luis Antonio Ortega Andrés · Aritz Pérez · Andres Masegosa
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
Vladimir Kostic · Hélène Halconruy · Timothée Devergne · Karim Lounici · Massimiliano Pontil
Global Rewards in Restless Multi-Armed Bandits
Naveen Raman · Zheyuan Shi · Fei Fang
On $f$-Divergence Principled Domain Adaptation: An Improved Framework
Ziqiao Wang · Yongyi Mao
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness
Yuri Kinoshita · Taro Toyoizumi
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process
Jiashuo Jiang · Yinyu Ye
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
Reuben Adams · John Shawe-Taylor · Benjamin Guedj
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
Xingwu Chen · Lei Zhao · Difan Zou
On the Sparsity of the Strong Lottery Ticket Hypothesis
Emanuele Natale · Davide Ferre · Giordano Giambartolomei · Frederic Giroire · Frederik Mallmann-Trenn
Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
Kirill Brilliantov · Amauri Souza · Vikas Garg
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
Zihao Li · Yuan Cao · Cheng Gao · Yihan He · Han Liu · Jason Klusowski · Jianqing Fan · Mengdi Wang
High-dimensional (Group) Adversarial Training in Linear Regression
Yiling Xie · Xiaoming Huo
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
Joongkyu Lee · Min-hwan Oh
A Theory of Optimistically Universal Online Learnability for General Concept Classes
Steve Hanneke · Hongao Wang
On the Power of Small-size Graph Neural Networks for Linear Programming
Qian Li · Tian Ding · Linxin Yang · Minghui Ouyang · Qingjiang Shi · Ruoyu Sun
Learning to Price Homogeneous Data
Keran Chen · Joon Suk Huh · Kirthevasan Kandasamy
A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
Saeed Masoudian · Julian Zimmert · Yevgeny Seldin
Provably Efficient Interactive-Grounded Learning with Personalized Reward
Mengxiao Zhang · Yuheng Zhang · Haipeng Luo · Paul Mineiro
MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs
Jihyung Kil · Zheda Mai · Justin Lee · Arpita Chowdhury · Zihe Wang · Kerrie Cheng · Lemeng Wang · Ye Liu · Wei-Lun (Harry) Chao
Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
Ahmed Ben Yahmed · Clément Calauzènes · Vianney Perchet
Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
Taira Tsuchiya · Shinji Ito
Contextual Active Model Selection
Xuefeng Liu · Fangfang Xia · Rick Stevens · Yuxin Chen
A Continuous-time Stochastic Gradient Descent Method for Continuous Data
Kexin Jin · Jonas Latz · Chenguang Liu · Carola-Bibiane Schönlieb
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
Yuezhou Hu · Jun Zhu · Jianfei Chen
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
Hongtai Zeng · Chao Yang · Yanzhen Zhou · Cheng Yang · Qinglai Guo
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
Ding Shihong · Long Yang · Luo Luo · Cong Fang
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
Peter Halmos · Xinhao Liu · Julian Gold · Benjamin Raphael
Pretrained Optimization Model for Zero-Shot Black Box Optimization
Xiaobin Li · Kai Wu · yujian li · Xiaoyu Zhang · Handing Wang · Jing Liu
Geometry-aware training of factorized layers in tensor Tucker format
Emanuele Zangrando · Steffen Schotthöfer · Gianluca Ceruti · Jonas Kusch · Francesco Tudisco
Learning Generalized Linear Programming Value Functions
Tu Anh-Nguyen · Joey Huchette · Christian Tjandraatmadja
Croissant: A Metadata Format for ML-Ready Datasets
Mubashara Akhtar · Omar Benjelloun · Costanza Conforti · Luca Foschini · Joan Giner-Miguelez · Pieter Gijsbers · Sujata Goswami · Nitisha Jain · Michalis Karamousadakis · Michael Kuchnik · Satyapriya Krishna · Sylvain Lesage · Quentin Lhoest · Pierre Marcenac · Manil Maskey · Peter Mattson · Luis Oala · Hamidah Oderinwale · Pierre Ruyssen · Tim Santos · Rajat Shinde · Elena Simperl · Arjun Suresh · Goeffry Thomas · Slava Tykhonov · Joaquin Vanschoren · Susheel Varma · Jos van der Velde · Steffen Vogler · Carole-Jean Wu · Luyao Zhang
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
Ruichen Jiang · Ali Kavis · Qiujiang Jin · Sujay Sanghavi · Aryan Mokhtari
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Rui Pan · Xiang Liu · SHIZHE DIAO · Renjie Pi · Jipeng Zhang · Chi Han · Tong Zhang
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold · Sergey Samsonov · Safwan Labbi · Ilya Levin · REDA ALAMI · Alexey Naumov · Eric Moulines
Emergence of heavy tails in homogenized stochastic gradient descent
Zhezhe Jiao · Martin Keller-Ressel
BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model
Boris Repasky · Ehsan Abbasnejad · Anthony Dick
TorchOpt: An Efficient Library for Differentiable Optimization
Jie Ren · Xidong Feng · Bo Liu · Xuehai Pan · Yao Fu · Luo Mai · Yaodong Yang
First-Order Methods for Linearly Constrained Bilevel Optimization
Guy Kornowski · Swati Padmanabhan · Kai Wang · Zhe Zhang · Suvrit Sra
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
Qiujiang Jin · Ruichen Jiang · Aryan Mokhtari
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Xiang Meng · Kayhan Behdin · Haoyue Wang · Rahul Mazumder
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
Tam Nguyen · Anh-Dzung Doan · zhipeng cai · Tat-Jun Chin
Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
Morad Tukan · Loay Mualem · Moran Feldman
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
Grigory Malinovsky · Peter Richtarik · Samuel Horváth · Eduard Gorbunov
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
Dmitry Kovalev · Ekaterina Borodich · Alexander Gasnikov · Dmitrii Feoktistov
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
Alexander Tyurin · Peter Richtarik
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
Wenzhi Fang · Dong-Jun Han · Evan Chen · Shiqiang Wang · Christopher Brinton
Auditing Privacy Mechanisms via Label Inference Attacks
Róbert Busa-Fekete · Travis Dick · Claudio Gentile · Andres Munoz Medina · Adam Smith · Marika Swanberg
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio · Gabriele Dominici · Pietro Barbiero · Alberto Tonda · Martin Gjoreski · Marc Langheinrich
Instance-Specific Asymmetric Sensitivity in Differential Privacy
David Durfee
Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
Ronak Mehta · Jelena Diakonikolas · Zaid Harchaoui
Lookback Prophet Inequalities
Ziyad Benomar · Dorian Baudry · Vianney Perchet
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
Wei Jiang · Sifan Yang · Yibo Wang · Lijun Zhang
Non-geodesically-convex optimization in the Wasserstein space
Hoang Phuc Hau Luu · Hanlin Yu · Bernardo Williams · Petrus Mikkola · Marcelo Hartmann · Kai Puolamäki · Arto Klami
DistrictNet: Decision-aware learning for geographical districting
Cheikh Ahmed · Alexandre Forel · Axel Parmentier · Thibaut Vidal
Performative Control for Linear Dynamical Systems
Songfu Cai · Fei Han · Xuanyu Cao
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
Haizhou Du · Yijian Chen · Ryan Yang · Yuchen Li · Linghe Kong
Communication Efficient Distributed Training with Distributed Lion
Bo Liu · Lemeng Wu · Lizhang Chen · Kaizhao Liang · Jiaxu Zhu · Chen Liang · Raghuraman Krishnamoorthi · Qiang Liu
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
Tehila Dahan · Kfir Y. Levy
The Limits of Differential Privacy in Online Learning
Bo Li · Wei Wang · Peng Ye
Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
Abhipsa Basu · Saswat Subhajyoti Mallick · Venkatesh Babu R
Differentially Private Reinforcement Learning with Self-Play
Dan Qiao · Yu-Xiang Wang
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
Rongzhe Wei · Eli Chien · Pan Li
Faster Algorithms for User-Level Private Stochastic Convex Optimization
Andrew Lowy · Daogao Liu · Hilal Asi
Dimension-free Private Mean Estimation for Anisotropic Distributions
Yuval Dagan · Michael Jordan · Xuelin Yang · Lydia Zakynthinou · Nikita Zhivotovskiy
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yihang Yao · Zhepeng Cen · Wenhao Ding · Haohong Lin · Shiqi Liu · Tingnan Zhang · Wenhao Yu · DING ZHAO
Zero-Shot Reinforcement Learning from Low Quality Data
Scott Jeen · Tom Bewley · Jonathan Cullen
Simplifying Latent Dynamics with Softly State-Invariant World Models
Tankred Saanum · Peter Dayan · Eric Schulz
AlphaMath Almost Zero: Process Supervision without Process
Guoxin Chen · Minpeng Liao · Chengxi Li · Kai Fan
Adversarial Environment Design via Regret-Guided Diffusion Models
Hojun Chung · Junseo Lee · Minsoo Kim · Dohyeong Kim · Songhwai Oh
Solving Minimum-Cost Reach Avoid using Reinforcement Learning
Oswin So · Cheng Ge · Chuchu Fan
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
Jingwu Tang · Gokul Swamy · Fei Fang · Steven Wu
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
Hao Ma · Tianyi Hu · Zhiqiang Pu · Liu Boyin · Xiaolin Ai · Yanyan Liang · Min Chen
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
Josh McClellan · Naveed Haghani · John Winder · Furong Huang · Pratap Tokekar
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
Pihe Hu · Shaolong Li · Zhuoran Li · Ling Pan · Longbo Huang
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation
Junyu Liu · Xiangjun Peng
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization
Haoyuan Qin · Chennan Ma · Deng · Zhengzhu Liu · Songzhu Mei · Xinwang Liu · Cheng Wang · Siqi Shen
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
Yang Li · Wenhao Zhang · Jianhong Wang · Shao Zhang · Yali Du · Ying Wen · Wei Pan
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
Yizhe Huang · Xingbo Wang · Hao Liu · Fanqi Kong · Aoyang Qin · Min Tang · Xiaoxi Wang · Song-Chun Zhu · Mingjie Bi · Siyuan Qi · Xue Feng
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
Long-Fei Li · Peng Zhao · Zhi-Hua Zhou
GenRL: Multimodal-foundation world models for generalization in embodied agents
Pietro Mazzaglia · Tim Verbelen · Bart Dhoedt · Aaron Courville · Sai Rajeswar Mudumba
What type of inference is planning?
Miguel Lazaro-Gredilla · Li Ku · Kevin Murphy · Dileep George
Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning
Huzi Cheng · Joshua Brown
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
Yuewen Sun · Biwei Huang · Yu Yao · Donghuo Zeng · Xinshuai Dong · Songyao Jin · Boyang Sun · Roberto Legaspi · Kazushi Ikeda · Peter Spirtes · Kun Zhang
Variational Delayed Policy Optimization
Qingyuan Wu · Simon Zhan · Yixuan Wang · Yuhui Wang · Chung-Wei Lin · Chen Lv · Qi Zhu · Chao Huang
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
Awni Altabaa · Zhuoran Yang
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Daehee Lee · Minjong Yoo · Woo Kyung Kim · Wonje Choi · Honguk Woo
REBEL: Reinforcement Learning via Regressing Relative Rewards
Zhaolin Gao · Jonathan Chang · Wenhao Zhan · Owen Oertell · Gokul Swamy · Kianté Brantley · Thorsten Joachims · Drew Bagnell · Jason Lee · Wen Sun
Nonparametric Regression for 3D Point Cloud Learning
Xinyi Li · Shan Yu · Yueying Wang · Guannan Wang · Li Wang · Ming-Jun Lai
Conformal Classification with Equalized Coverage for Adaptively Selected Groups
Yanfei Zhou · Matteo Sesia
Verifiably Robust Conformal Prediction
Linus Jeary · Tom Kuipers · Mehran Hosseini · Nicola Paoletti
Carrot and Stick: Eliciting Comparison Data and Beyond
Yiling Chen · Shi Feng · Fang-Yi Yu
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
Phuong Nam Tran · The Anh Ta · shuqing shi · Debmalya Mandal · Yali Du · Long Tran-Thanh
Bayesian Strategic Classification
Lee Cohen · Saeed Sharifi-Malvajerdi · Kevin Stangl · Ali Vakilian · Juba Ziani
Convergence of No-Swap-Regret Dynamics in Self-Play
Renato Leme · Georgios Piliouras · Jon Schneider
Computational Aspects of Bayesian Persuasion under Approximate Best Response
Kunhe Yang · Hanrui Zhang
LaSCal: Label-Shift Calibration without target labels
Teodora Popordanoska · Gorjan Radevski · Tinne Tuytelaars · Matthew Blaschko
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
Liang Chen · Yong Zhang · Yibing Song · Zhiqiang Shen · Lingqiao Liu
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
Yongzhe Jia · Xuyun Zhang · Hongsheng Hu · Kim-Kwang Raymond Choo · Lianyong Qi · Xiaolong Xu · Amin Beheshti · Wanchun Dou
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
Andong Wang · Yuning Qiu · Mingyuan Bai · Zhong Jin · Guoxu Zhou · Qibin Zhao
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes
Lei Shi · Waverly Wei · Jingshen Wang
Attention boosted Individualized Regression
Guang Yang · Yuan Cao · Long Feng
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
Antoine Scheid · Aymeric Capitaine · Etienne Boursier · Eric Moulines · Michael Jordan · Alain Durmus
Symmetries in Overparametrized Neural Networks: A Mean Field View
Javier Maass · Joaquin Fontbona
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
Qinbo Bai · Washim Mondal · Vaneet Aggarwal
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
Wooseong Cho · Taehyun Hwang · Joongkyu Lee · Min-hwan Oh
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
Jian Qian · Haichen Hu · David Simchi-Levi
Truncated Variance Reduced Value Iteration
Yujia Jin · Ishani Karmarkar · Aaron Sidford · Jiayi Wang
Preference-based Pure Exploration
Apurv Shukla · Debabrota Basu
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
Raymond Zhang · Richard Combes
Online Control in Population Dynamics
Noah Golowich · Elad Hazan · Zhou Lu · Dhruv Rohatgi · Y. Jennifer Sun
Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs
Kevin Tan · Wei Fan · Yuting Wei
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Andreas Schlaginhaufen · Maryam Kamgarpour
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
Xiaotong Li · Fan Zhang · Haiwen Diao · Yueze Wang · Xinlong Wang · LINGYU DUAN
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
Haoyu Geng · Hang Ruan · Runzhong Wang · Yang Li · YANG WANG · Lei Chen · Junchi Yan
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
Shirley Wu · Shiyu Zhao · Michihiro Yasunaga · Kexin Huang · Kaidi Cao · Qian Huang · Vassilis Ioannidis · Karthik Subbian · James Zou · Jure Leskovec
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
Kefan Su · Yusen Huo · ZHILIN ZHANG · Shuai Dou · Chuan Yu · Jian Xu · Zongqing Lu · Bo Zheng
NeuralPlane: An Efficiently Parallelizable Platform for Fixed-wing Aircraft Control with Reinforcement Learning
Chuanyi Xue · Qihan Liu · Xiaoteng Ma · Xinyao Qin · Gui Ning · Yang Qi · Jinsheng Ren · Bin Liang · Jun Yang
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Zibin Dong · Yifu Yuan · Jianye Hao · Fei Ni · Yi Ma · Pengyi Li · YAN ZHENG
MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
Xuan Ju · Yiming Gao · Zhaoyang Zhang · Ziyang Yuan · Xintao Wang · AILING ZENG · Yu Xiong · Qiang Xu · Ying Shan
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
Kazusato Oko · Yujin Song · Taiji Suzuki · Denny Wu
Axioms for AI Alignment from Human Feedback
Luise Ge · Daniel Halpern · Evi Micha · Ariel Procaccia · Itai Shapira · Yevgeniy Vorobeychik · Junlin Wu
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
Lorenzo Tiberi · Francesca Mignacco · Kazuki Irie · Haim Sompolinsky
Variance estimation in compound decision theory under boundedness
Subhodh Kotekal
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang · Xumeng Wen · Zhenwei Zhang · Shun Zheng · Jia Li · Jiang Bian
$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
wang lin · Yueying Feng · WenKang Han · Tao Jin · Zhou Zhao · Fei Wu · Chang Yao · Jingyuan Chen
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games
The Viet Bui · Tien Mai · Thanh Nguyen
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
Lenart Treven · Bhavya · Yarden As · Florian Dorfler · Andreas Krause
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
Mingze Wang · Weinan E
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
Yitong Dong · Yijin Li · Zhaoyang Huang · Weikang Bian · Jingbo Liu · Hujun Bao · Zhaopeng Cui · Hongsheng Li · Guofeng Zhang
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
Junjie Ni · Guofeng Zhang · Guanglin Li · Yijin Li · Xinyang Liu · Zhaoyang Huang · Hujun Bao
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
ZAIXI ZHANG · Mengdi Wang · Qi Liu
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
Tian Xu · Zhilong Zhang · Ruishuo Chen · Yihao Sun · Yang Yu
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
Changho Shin · Jitian Zhao · Sonia Cromp · Harit Vishwakarma · Frederic Sala
Decomposable Transformer Point Processes
Aristeidis Panos
Enhancing LLM Reasoning via Vision-Augmented Prompting
Ziyang Xiao · Dongxiang Zhang · Xiongwei Han · Xiaojin Fu · Wing Yin YU · Tao Zhong · Sai Wu · Yuan Wang · Jianwei Yin · Gang Chen
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
Pusen Dong · Tianchen Zhu · yue qiu · Haoyi Zhou · Jianxin Li
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
Alkis Kalavasis · Amin Karbasi · Argyris Oikonomou · Katerina Sotiraki · Grigoris Velegkas · Manolis Zampetakis
SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
Hang Yin · Xiuwei Xu · Zhenyu Wu · Jie Zhou · Jiwen Lu
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
David Brandfonbrener · Hanlin Zhang · Andreas Kirsch · Jonathan Richard Schwarz · Sham Kakade
On the Parameter Identifiability of Partially Observed Linear Causal Models
Xinshuai Dong · Ignavier Ng · Biwei Huang · Yuewen Sun · Songyao Jin · Roberto Legaspi · Peter Spirtes · Kun Zhang
Out-Of-Distribution Detection with Diversification (Provably)
Haiyun Yao · Zongbo Han · Huazhu Fu · Xi Peng · Qinghua Hu · Changqing Zhang
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
Amrith Setlur · Saurabh Garg · Xinyang Geng · Naman Garg · Virginia Smith · Aviral Kumar
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
Wenzhuo Liu · Fei Zhu · Shijie Ma · Cheng-lin Liu
Ensemble sampling for linear bandits: small ensembles suffice
David Janz · Alexander Litvak · Csaba Szepesvari
Interfacing Foundation Models' Embeddings
Xueyan Zou · Linjie Li · Jianfeng Wang · Jianwei Yang · Mingyu Ding · Junyi Wei · Zhengyuan Yang · Feng Li · Hao Zhang · Shilong Liu · Arul Aravinthan · Yong Jae Lee · Lijuan Wang
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
Zhi Wang · Li Zhang · Wenhao Wu · Yuanheng Zhu · Dongbin Zhao · Chunlin Chen
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
Dong Zhao · Qi Zang · Shuang Wang · Nicu Sebe · Zhun Zhong
PageRank Bandits for Link Prediction
Yikun Ban · Jiaru Zou · Zihao Li · Yunzhe Qi · Dongqi Fu · Jian Kang · Hanghang Tong · Jingrui He
Efficient Reinforcement Learning by Discovering Neural Pathways
Samin Yeasar Arnob · Riyasat Ohib · Sergey Plis · Amy Zhang · Alessandro Sordoni · Doina Precup
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
Siwei Wang · Yifei Shen · Shi Feng · Haoran Sun · Shang-Hua Teng · Wei Chen
Gliding over the Pareto Front with Uniform Designs
Xiaoyuan Zhang · Genghui Li · Xi Lin · Yichi Zhang · Yifan Chen · Qingfu Zhang
Gradient Rewiring for Editable Graph Neural Network Training
Zhimeng Jiang · Zirui Liu · Xiaotian Han · Qizhang Feng · Hongye Jin · Qiaoyu Tan · Kaixiong Zhou · Na Zou · Xia Hu
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Grigory Bartosh · Dmitry Vetrov · Christian Andersson Naesseth
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
Xinyu Zhou · Jinglun Li · Lingyi Hong · Kaixun Jiang · Pinxue Guo · Weifeng Ge · Wenqiang Zhang
Data Free Backdoor Attacks
Bochuan Cao · Jinyuan Jia · Chuxuan Hu · Wenbo Guo · Zhen Xiang · Jinghui Chen · Bo Li · Dawn Song
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
Quoc Tran Dinh · Trang H. Tran · Lam Nguyen
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization
Qi Song · Tianxiang Gong · Shiqi Gao · Haoyi Zhou · Jianxin Li
Parameter Competition Balancing for Model Merging
Guodong DU · Junlin Lee · Jing Li · Runhua Jiang · Yifei Guo · Shuyang Yu · Hanting Liu · Sim Kuan Goh · Ho-Kin Tang · Daojing He · Min Zhang
Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values
Aleksandr Lobanov · Alexander Gasnikov · Andrey Krasnov
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
Disha Makhija · Joydeep Ghosh · Nhat Ho
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
Chao Wang · Xin HE · Yuwen Wang · Junhui Wang
KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
Jie Yang · Wang ZENG · Sheng Jin · Lumin Xu · Wentao Liu · Chen Qian · Ruimao Zhang
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes
Zhenhui Ye · Tianyun Zhong · Yi Ren · Ziyue Jiang · Jiawei Huang · Rongjie Huang · Jinglin Liu · Jinzheng He · Chen Zhang · Zehan Wang · Xize Cheng · Xiang Yin · Zhou Zhao
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
Jiashun Liu · Jianye Hao · Xiaotian Hao · Yi Ma · YAN ZHENG · Yujing Hu · Tangjie Lv
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
Masatoshi Uehara · Yulai Zhao · Ehsan Hajiramezanali · Gabriele Scalia · Gokcen Eraslan · Avantika Lal · Sergey Levine · Tommaso Biancalani
Neural Gaffer: Relighting Any Object via Diffusion
Haian Jin · Yuan Li · Fujun Luan · Yuanbo Xiangli · Sai Bi · Kai Zhang · Zexiang Xu · Jin Sun · Noah Snavely
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
JIAMIAN WANG · Zongliang Wu · Yulun Zhang · Xin Yuan · Tao Lin · Zhiqiang Tao
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Poster
4:30 PM - 7:30 PM
398 Events in this session
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
Saehyung Lee · Jisoo Mok · Sangha Park · Yongho Shin · Dahuin Jung · Sungroh Yoon
Idiographic Personality Gaussian Process for Psychological Assessment
Yehu Chen · Muchen Xi · Joshua Jackson · Jacob Montgomery · Roman Garnett
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis
Lei Huang · Lei Xiong · Na Sun · Zunpeng Liu · Ka-Chun Wong · Manolis Kellis
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors
Adam Sun · Tiange Xiang · Scott Delp · Fei-Fei Li · Ehsan Adeli
PowerPM: Foundation Model for Power Systems
Shihao Tu · Yupeng Zhang · Jing Zhang · Zhendong Fu · Yin Zhang · YANG YANG
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
Hao Tang · Keya Hu · Jin Zhou · Si Cheng Zhong · Wei-Long Zheng · Xujie Si · Kevin Ellis
AutoSurvey: Large Language Models Can Automatically Write Surveys
Yidong Wang · Qi Guo · Wenjin Yao · Hongbo Zhang · Xin Zhang · Zhen Wu · Meishan Zhang · Xinyu Dai · Min zhang · Qingsong Wen · Wei Ye · Shikun Zhang · Yue Zhang
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
Yubin Kim · Chanwoo Park · Hyewon Jeong · Yik Siu Chan · Xuhai "Orson" Xu · Daniel McDuff · Hyeonhoon Lee · Marzyeh Ghassemi · Cynthia Breazeal · Hae Park
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
Heewoong Noh · Namkyeong Lee · Gyoung S. Na · Chanyoung Park
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Ezra Edelman · Nikolaos Tsilivis · Benjamin Edelman · Eran Malach · Surbhi Goel
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
Bowen Ping · Shuo Wang · Hanqing Wang · Xu Han · Yuzhuang Xu · Yukun Yan · Yun Chen · Baobao Chang · Zhiyuan Liu · Maosong Sun
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
Suhan Cui · Prasenjit Mitra
DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
Shihao Tu · Linfeng Cao · Daoze Zhang · Junru Chen · Lvbin Ma · Yin Zhang · YANG YANG
NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing
Guangzhao Cheng · Chengbo Fu · Lu Cheng
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
Hirofumi Tsuruta · Hiroyuki Yamazaki · Ryota Maeda · Ryotaro Tamura · Akihiro Imura
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA
Lifeng Qiao · Peng Ye · Yuchen Ren · Weiqiang Bai · Chaoqi Liang · Xinzhu Ma · Nanqing Dong · Wanli Ouyang
Transferable Boltzmann Generators
Leon Klein · Frank Noe
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
Abdulkadir Celikkanat · Andres Masegosa · Thomas Nielsen
Mixture of neural fields for heterogeneous reconstruction in cryo-EM
Axel Levy · Rishwanth Raghu · David Shustin · Adele Peng · Huan Li · Oliver Clarke · Gordon Wetzstein · Ellen Zhong
USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset
Kiran Lekkala · Henghui Bao · Peixu Cai · Wei Lim · Chen Liu · Laurent Itti
CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
Jiakai Zhang · Qihe Chen · Yan Zeng · Wenyuan Gao · Xuming He · Zhijie Liu · Jingyi Yu
Proving Olympiad Algebraic Inequalities without Human Demonstrations
Chenrui Wei · Mengzhou Sun · Wei Wang
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
Thanh-Dat Truong · Utsav Prabhu · Dongyi Wang · Bhiksha Raj · Susan Gauch · Jeyamkondan Subbiah · Khoa Luu
QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos
Sharath Girish · Tianye Li · Amrita Mazumdar · Abhinav Shrivastava · david luebke · Shalini De Mello
Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
Yuxuan Xue · Xianghui Xie · Riccardo Marin · Gerard Pons-Moll
VFIMamba: Video Frame Interpolation with State Space Models
Guozhen Zhang · Chuxnu Liu · Yutao Cui · Xiaotong Zhao · Kai Ma · Limin Wang
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
Tao MA · Hongbin Zhou · Qiusheng Huang · Xuemeng Yang · Jianfei Guo · Bo Zhang · Min Dou · Yu Qiao · Botian Shi · Hongsheng Li
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
Zhihai Wang · Jie Wang · Qingyue Yang · Yinqi Bai · Xing Li · Lei Chen · Jianye Hao · Mingxuan Yuan · Bin Li · Yongdong Zhang · Feng Wu
Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting
man zhou
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
Mijeong Kim · Jongwoo Lim · Bohyung Han
A General Protocol to Probe Large Vision Models for 3D Physical Understanding
Guanqi Zhan · Chuanxia Zheng · Weidi Xie · Andrew Zisserman
Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion
Lubo Wang · Di Lin · Kairui Yang · Ruonan Liu · Qing Guo · Wuyuan Xie · Miaohui Wang · Lingyu Liang · Yi Wang · Ping Li
Evaluating Multiview Object Consistency in Humans and Image Models
Tyler Bonnen · Stephanie Fu · Yutong Bai · Thomas O'Connell · Yoni Friedman · Nancy Kanwisher · Josh Tenenbaum · Alexei Efros
Contrastive losses as generalized models of global epistasis
David Brookes · Jakub Otwinowski · Sam Sinai
$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
Kuzma Khrabrov · Anton Ber · Artem Tsypin · Konstantin Ushenin · Egor Rumiantsev · Alexander Telepov · Dmitry Protasov · Ilya Shenbin · Anton Alekseev · Mikhail Shirokikh · Sergey Nikolenko · Elena Tutubalina · Artur Kadurin
Segment Any Change
Zhuo Zheng · Yanfei Zhong · Liangpei Zhang · Stefano Ermon
A Siamese Transformer with Hierarchical Refinement for Lane Detection
Zinan Lv · Dong Han · Wenzhe Wang · Danny Z Chen
Vision Foundation Model Enables Generalizable Object Pose Estimation
Kai Chen · Yiyao Ma · Xingyu Lin · Stephen James · Jianshu Zhou · Yun-Hui Liu · Pieter Abbeel · DOU QI
DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus
Yu Chen · Gim Hee Lee
DiffuBox: Refining 3D Object Detection with Point Diffusion
Xiangyu Chen · Zhenzhen Liu · Katie Luo · Siddhartha Datta · Adhitya Polavaram · Yan Wang · Yurong You · Boyi Li · Marco Pavone · Wei-Lun (Harry) Chao · Mark Campbell · Bharath Hariharan · Kilian Weinberger
Beyond Accuracy: Tracking more like Human via Visual Search
Dailing Zhang · Shiyu Hu · Xiaokun Feng · Xuchen Li · wu meiqi · Jing Zhang · Kaiqi Huang
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
Chende Zheng · Chenhao Lin · Zhengyu Zhao · Hang Wang · Xu Guo · Shuai Liu · Chao Shen
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
Wu Shuang · Youtian Lin · Yifei Zeng · Feihu Zhang · Jingxi Xu · Philip Torr · Xun Cao · Yao Yao
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections
Fangjinhua Wang · Marie-Julie Rakotosaona · Michael Niemeyer · Richard Szeliski · Marc Pollefeys · Federico Tombari
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene
Sandika Biswas · Qianyi Wu · Biplab Banerjee · Hamid Rezatofighi
Historical Test-time Prompt Tuning for Vision Foundation Models
Jingyi Zhang · Jiaxing Huang · Xiaoqin Zhang · Ling Shao · Shijian Lu
FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation
Jianqiao Zhang · Caifeng Shan · Jungong Han
Can Large Language Model Agents Simulate Human Trust Behavior?
Chengxing Xie · Canyu Chen · Feiran Jia · Ziyu Ye · Shiyang Lai · Kai Shu · Jindong Gu · Adel Bibi · Ziniu Hu · David Jurgens · James Evans · Philip Torr · Bernard Ghanem · Guohao Li
E-Motion: Future Motion Simulation via Event Sequence Diffusion
Song Wu · Zhiyu Zhu · Junhui Hou · GUANGMING Shi · Jinjian Wu
Referencing Where to Focus: Improving Visual Grounding with Referential Query
Yabing Wang · Zhuotao Tian · Qingpei Guo · Zheng Qin · Sanping Zhou · Ming Yang · Le Wang
Masked Pre-training Enables Universal Zero-shot Denoiser
Xiaoxiao Ma · Zhixiang Wei · Yi Jin · Pengyang Ling · Tianle Liu · Ben Wang · Junkang Dai · Huaian Chen
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
Jiahe Chen · Jinkun Cao · Dahua Lin · Kris Kitani · Jiangmiao Pang
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
Wei Dong · Han Zhou · Yulun Zhang · Xiaohong Liu · Jun Chen
Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective
MeiJun Wang · Yu Meng · Zhongwei Qiu · Chao Zheng · Yan Xu · Pengxiaorui · Jian Gao
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
Linhan Wang · Kai Cheng · Shuo Lei · Shengkun Wang · Wei Yin · Chenyang Lei · Xiaoxiao Long · Chang-Tien Lu
Generalizable Person Re-identification via Balancing Alignment and Uniformity
Yoonki Cho · Jaeyoon Kim · Woo Jae Kim · Junsik Jung · Sung-eui Yoon
NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
Yifan Wang · Di Huang · Weicai Ye · Guofeng Zhang · Wanli Ouyang · Tong He
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
Lingchen Meng · Jianwei Yang · Rui Tian · Xiyang Dai · Zuxuan Wu · Jianfeng Gao · Yu-Gang Jiang
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection
Dingrong Wang · Hitesh Sapkota · Qi Yu
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
Yanyan Huang · Weiqin Zhao · Yihang Chen · Yu Fu · Lequan Yu
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
Wenyuan Zhang · Yu-Shen Liu · Zhizhong Han
OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling
Linhui Xiao · Xiaoshan Yang · Fang Peng · Yaowei Wang · Changsheng Xu
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
Yiwei Guo · Shaobin Zhuang · Kunchang Li · Yu Qiao · Yali Wang
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
Haoyang Liu · Jie Wang · Wanbo Zhang · Zijie Geng · Yufei Kuang · Xijun Li · Bin Li · Yongdong Zhang · Feng Wu
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields
Weiyi Xue · Zehan Zheng · Fan Lu · Haiyun Wei · Guang Chen · changjun jiang
Dynamic 3D Gaussian Fields for Urban Areas
Tobias Fischer · Jonas Kulhanek · Samuel Rota Bulò · Lorenzo Porzi · Marc Pollefeys · Peter Kontschieder
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
Yinshuang Xu · Dian Chen · Katherine Liu · Sergey Zakharov · Rareș Ambruș · Kostas Daniilidis · Vitor Guizilini
Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection
Chaoda Zheng · Feng Wang · Naiyan Wang · Shuguang Cui · Zhen Li
Overcoming Common Flaws in the Evaluation of Selective Classification Systems
Jeremias Traub · Till Bungert · Carsten Lüth · Michael Baumgartner · Klaus Maier-Hein · Lena Maier-Hein · Paul Jaeger
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
Haiyang Zheng · Nan Pu · Wenjing Li · Nicu Sebe · Zhun Zhong
Self-Distilled Depth Refinement with Noisy Poisson Fusion
Jiaqi Li · Yiran Wang · Jinghong Zheng · Zihao Huang · Ke Xian · Zhiguo Cao · Jianming Zhang
Slicing Vision Transformer for Flexible Inference
Yitian Zhang · n n · Xu Ma · Huan Wang · Ke Ma · Stephen Chen · Derek Hu · Yun Fu
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
Jingjing Ren · Wenbo Li · Haoyu Chen · Renjing Pei · Bin Shao · Yong Guo · Long Peng · Fenglong Song · Lei Zhu
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
Taihang Hu · Linxuan Li · Joost van de Weijer · Hongcheng Gao · Fahad Shahbaz Khan · Jian Yang · Ming-Ming Cheng · KAI WANG · Yaxing Wang
FouRA: Fourier Low-Rank Adaptation
Shubhankar Borse · Shreya Kadambi · Nilesh Pandey · Kartikeya Bhardwaj · Viswanath Ganapathy · Sweta Priyadarshi · Risheek Garrepalli · Rafael Esteves · Munawar Hayat · Fatih Porikli
Return of Unconditional Generation: A Self-supervised Representation Generation Method
Tianhong Li · Dina Katabi · Kaiming He
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
Mingzhen Huang · Jialing Cai · Shan Jia · Vishnu Lokhande · Siwei Lyu
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
zheng yu · Yaohua Wang · Siying Cui · Aixi Zhang · Wei-Long Zheng · Senzhang Wang
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)
Michael Saxon · Fatima Jahara · Mahsa Khoshnoodi · Yujie Lu · Aditya Sharma · William Yang Wang
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
Hang Guo · Tao Dai · Yuanchao Bai · Bin Chen · Xudong Ren · Zexuan Zhu · Shu-Tao Xia
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
Chenyi Zhuang · Ying Hu · Pan Gao
AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models
Yuchen Fu · Zhiwei Jiang · Yuliang Liu · Cong Wang · Zexuan Deng · Zhaoling Chen · Qing Gu
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering
Jiahao Lu · Jiacheng Deng · Ruijie Zhu · Yanzhe Liang · Wenfei Yang · Xu Zhou · Tianzhu Zhang
SA3DIP: Segment Any 3D Instance with Potential 3D Priors
Xi Yang · Xu Gu · Xingyilang Yin · Xinbo Gao
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
Zhiyi Pan · Wei Gao · Shan Liu · Ge Li
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
Yu Zheng · Guangming Wang · Jiuming Liu · Marc Pollefeys · Hesheng Wang
Model Based Inference of Synaptic Plasticity Rules
Yash Mehta · Danil Tyulmankov · Adithya Rajagopalan · Glenn Turner · James Fitzgerald · Jan Funke
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
Yuanhao Cai · Zihao Xiao · Yixun Liang · Minghan Qin · Yulun Zhang · Xiaokang Yang · Yaoyao Liu · Alan Yuille
Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
Rui Peng · Wangze Xu · Luyang Tang · levio leo · Jianbo Jiao · Ronggang Wang
Large Spatial Model: End-to-end Unposed Images to Semantic 3D
Zhiwen Fan · Jian Zhang · Wenyan Cong · Peihao Wang · Renjie Li · Kairun Wen · Shijie Zhou · Achuta Kadambi · Zhangyang "Atlas" Wang · Danfei Xu · Boris Ivanovic · Marco Pavone · Yue Wang
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization
Chieh-Yun Chen · Chiang Tseng · Li-Wu Tsao · Hong-Han Shuai
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
Sunjae Yoon · Gwanhyeong Koo · Younghwan Lee · Chang Yoo
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
Tianwei Xiong · Yuqing Wang · Daquan Zhou · Zhijie Lin · Jiashi Feng · Xihui Liu
MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
Anshul Gupta · Samy Tafasca · Arya Farkhondeh · Pierre Vuillecard · Jean-marc Odobez
Understanding Bias in Large-Scale Visual Datasets
Boya Zeng · Yida Yin · Zhuang Liu
Online Consistency of the Nearest Neighbor Rule
Geelon So · Sanjoy Dasgupta
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
Zichun Yu · Spandan Das · Chenyan Xiong
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
Katherine Tieu · Dongqi Fu · Yada Zhu · Hendrik Hamann · Jingrui He
Predicting Label Distribution from Ternary Labels
Yunan Lu · Xiuyi Jia
Visual Data Diagnosis and Debiasing with Concept Graphs
Rwiddhi Chakraborty · Yinong O Wang · Jialu Gao · Runkai Zheng · Cheng Zhang · Fernando D De la Torre
SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
Ju-Sheng Hong · Junwen Yao · Jonas Mueller · Jane-Ling Wang
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
Minghao Zhu · Zhengpu Wang · Mengxian Hu · Ronghao Dang · Xiao Lin · Xun Zhou · Chengju Liu · Qijun Chen
DINTR: Tracking via Diffusion-based Interpolation
Pha Nguyen · Ngan Le · Jackson Cothren · Alper Yilmaz · Khoa Luu
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
Trong-Thuan Nguyen · Pha Nguyen · Xin Li · Jackson Cothren · Alper Yilmaz · Khoa Luu
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
Dayoung Gong · Suha Kwak · Minsu Cho
Slot State Space Models
Jindong Jiang · Fei Deng · Gautam Singh · Minseung Lee · Sungjin Ahn
UQE: A Query Engine for Unstructured Databases
Hanjun Dai · Bethany Wang · Xingchen Wan · Bo Dai · Sherry Yang · Azade Nova · Pengcheng Yin · Mangpo Phothilimthana · Charles Sutton · Dale Schuurmans
Bayesian-guided Label Mapping for Visual Reprogramming
Chengyi Cai · Zesheng Ye · Lei Feng · Jianzhong Qi · Feng Liu
You Only Cache Once: Decoder-Decoder Architectures for Language Models
Yutao Sun · Li Dong · Yi Zhu · Shaohan Huang · Wenhui Wang · Shuming Ma · Quanlu Zhang · Jianyong Wang · Furu Wei
Why Go Full? Elevating Federated Learning Through Partial Network Updates
Haolin Wang · Xuefeng Liu · Jianwei Niu · Wenkai Guo · Shaojie Tang
Visual Prompt Tuning in Null Space for Continual Learning
Yue Lu · Shizhou Zhang · De Cheng · Yinghui Xing · Nannan Wang · PENG WANG · Yanning Zhang
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
Can Jin · Tong Che · Hongwu Peng · Yiyuan Li · Dimitris Metaxas · Marco Pavone
Towards Understanding Evolving Patterns in Sequential Data
QIUHAO Zeng · Long-Kai Huang · Qi CHEN · Charles Ling · Boyu Wang
MoEUT: Mixture-of-Experts Universal Transformers
Robert Csordas · Kazuki Irie · Jürgen Schmidhuber · Christopher Potts · Christopher D Manning
DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
Sheng Yan · Cunhang Fan · Hongyu Zhang · Xiaoke Yang · Jianhua Tao · Zhao Lv
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
Jingdi Chen · Hanhan Zhou · Yongsheng Mei · Carlee Joe-Wong · Gina C. Adam · Nathaniel Bastian · Tian Lan
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
Mohammad Mahmudul Alam · Alexander Oberle · Edward Raff · Stella Biderman · Tim Oates · James Holt
TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge
Huanan LI · Juntao Guan · Lai Rui · Sijun Ma · Lin Gu · Noperson
LinNet: Linear Network for Efficient Point Cloud Representation Learning
Hao Deng · Kunlei Jing · Shengmei Chen · Cheng Liu · Jiawei Ru · Bo Jiang · Lin Wang
Nuclear Norm Regularization for Deep Learning
Christopher Scarvelis · Justin Solomon
When is an Embedding Model More Promising than Another?
Maxime Darrin · Philippe Formont · Ismail Ayed · Jackie CK Cheung · Pablo Piantanida
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization
Yinuo Jiang · Xiuchuan Tang · Cheng Cheng · Ye Yuan
Navigating Extremes: Dynamic Sparsity in Large Output Spaces
Nasibullah Nasibullah · Erik Schultheis · Mike Lasby · Yani Ioannou · Rohit Babbar
Learning Group Actions on Latent Representations
Yinzhu Jin · Aman Shrivastava · Tom Fletcher
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
Hanseul Cho · Jaeyoung Cha · Pranjal Awasthi · Srinadh Bhojanapalli · Anupam Gupta · Chulhee Yun
Towards Understanding Extrapolation: a Causal Lens
Lingjing Kong · Guangyi Chen · Petar Stojanov · Haoxuan Li · Eric Xing · Kun Zhang
CosAE: Learnable Fourier Series for Image Restoration
Sifei Liu · Shalini De Mello · Jan Kautz
Parallelizing Linear Transformers with the Delta Rule over Sequence Length
Songlin Yang · Bailin Wang · Yu Zhang · Yikang Shen · Yoon Kim
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
Jitesh Joshi · Sos Agaian · Youngjun Cho
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
Tianyi Zhang · Jonah Yi · Bowen Yao · Zhaozhuo Xu · Anshumali Shrivastava
Road Network Representation Learning with the Third Law of Geography
Haicang Zhou · Weiming Huang · Yile Chen · Tiantian He · Gao Cong · Yew Soon Ong
$C^2M^3$: Cycle-Consistent Multi-Model Merging
Donato Crisostomi · Marco Fumero · Daniele Baieri · Florian Bernard · Emanuele Rodolà
Non-Euclidean Mixture Model for Social Network Embedding
Roshni Iyer · Yewen Wang · Wei Wang · Yizhou Sun
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Junxiong Wang · Daniele Paliotta · Avner May · Alexander Rush · Tri Dao
WeiPer: OOD Detection using Weight Perturbations of Class Projections
Maximilian Granz · Manuel Heurich · Tim Landgraf
Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation
Kaibo Zhang · Yunjuan Wang · Raman Arora
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
Xilin He · Jingyu Hu · Qinliang Lin · Cheng Luo · Weicheng Xie · Siyang Song · Muhammad Haris Khan · Linlin Shen
TAIA: Large Language Models are Out-of-Distribution Data Learners
Shuyang Jiang · Yusheng Liao · Ya Zhang · Yanfeng Wang · Yu Wang
MALT Powers Up Adversarial Attacks
Odelia Melamed · Gilad Yehudai · Adi Shamir
Many-shot Jailbreaking
Cem Anil · Esin DURMUS · Nina Panickssery · Mrinank Sharma · Joe Benton · Sandipan Kundu · Joshua Batson · Meg Tong · Jesse Mu · Daniel Ford · Francesco Mosconi · Rajashree Agrawal · Rylan Schaeffer · Naomi Bashkansky · Samuel Svenningsen · Mike Lambert · Ansh Radhakrishnan · Carson Denison · Evan Hubinger · Yuntao Bai · Trenton Bricken · Timothy Maxwell · Nicholas Schiefer · James Sully · Alex Tamkin · Tamera Lanham · Karina Nguyen · Tomek Korbak · Jared Kaplan · Deep Ganguli · Samuel Bowman · Ethan Perez · Roger Grosse · David Duvenaud
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang · Kaiwen Hu · Sharut Gupta · Ziyu Ye · Yisen Wang · Stefanie Jegelka
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
Jan-Philipp Fraenken · Eric Zelikman · Rafael Rafailov · Kanishk Gandhi · Tobias Gerstenberg · Noah Goodman
Are Multiple Instance Learning Algorithms Learnable for Instances?
Jaeseok Jang · HYUK-YOON KWON
SGD vs GD: Rank Deficiency in Linear Networks
Aditya Vardhan Varre · Margarita Sagitova · Nicolas Flammarion
Scalable Optimization in the Modular Norm
Tim Large · Yang Liu · Jacob Huh · Hyojin Bahng · Phillip Isola · Jeremy Bernstein
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
Antoine Maillard · Emanuele Troiani · Simon Martin · Florent Krzakala · Lenka Zdeborová
Scaling Laws in Linear Regression: Compute, Parameters, and Data
Licong Lin · Jingfeng Wu · Sham Kakade · Peter Bartlett · Jason Lee
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
Alexander Havrilla · Wenjing Liao
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
Haocheng Luo · Tuan Truong · Tung Pham · Mehrtash Harandi · Dinh Phung · Trung Le
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
Tin Sum Cheng · Aurelien Lucchi · Anastasis Kratsios · David Belius
A distributional simplicity bias in the learning dynamics of transformers
Riccardo Rende · Federica Gerace · Alessandro Laio · Sebastian Goldt
Improved Particle Approximation Error for Mean Field Neural Networks
Atsushi Nitanda
Relating Hopfield Networks to Episodic Control
Hugo Chateau-Laurent · Frederic Alexandre
Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?
Peter Súkeník · Christoph Lampert · Marco Mondelli
Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks
Jim Zhao · Sidak Pal Singh · Aurelien Lucchi
Generalizablity of Memorization Neural Network
Lijia Yu · Xiao-Shan Gao · Lijun Zhang · Yibo Miao
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks
Lénaïc Chizat · Praneeth Netrapalli
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
Pengyue Jia · Yiding Liu · Xiaopeng Li · Xiangyu Zhao · Yuhao Wang · Yantong Du · Xiao Han · Xuetao Wei · Shuaiqiang Wang · Dawei Yin
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
Filip Szatkowski · Bartosz Wójcik · Mikołaj Piórczyński · Simone Scardapane
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Xin-Chun Li · Jin-Lin Tang · Bo Zhang · Lan Li · De-Chuan Zhan
Preference Alignment with Flow Matching
Minu Kim · Yongsik Lee · Sehyeok Kang · Jihwan Oh · Song Chong · Se-Young Yun
Activation Map Compression through Tensor Decomposition for Deep Learning
Le-Trung Nguyen · Aël Quélennec · Enzo Tartaglione · Samuel Tardieu · Van-Tam Nguyen
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
Ziyao Wang · Zheyu Shen · Yexiao He · Guoheng Sun · Hongyi Wang · Lingjuan Lyu · Ang Li
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
Anian Ruoss · Grégoire Delétang · Sourabh Medapati · Jordi Grau-Moya · Kevin Li · Elliot Catt · John Reid · Cannada Lewis · Joel Veness · Tim Genewein
Why Do We Need Weight Decay in Modern Deep Learning?
Francesco D'Angelo · Maksym Andriushchenko · Aditya Vardhan Varre · Nicolas Flammarion
Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu · Tianyu He · Anni Tang · Junliang Guo · Zhibo Chen · Jiang Bian
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Huiqiang Jiang · Yucheng LI · Chengruidong Zhang · Qianhui Wu · Xufang Luo · Surin Ahn · Zhenhua Han · Amir Abdi · Dongsheng Li · Chin-Yew Lin · Yuqing Yang · Lili Qiu
Fine-grained Control of Generative Data Augmentation in IoT Sensing
Tianshi Wang · Qikai Yang · Ruijie Wang · Dachun Sun · Jinyang Li · Yizhuo Chen · Yigong Hu · Chaoqi Yang · Tomoyoshi Kimura · Denizhan Kara · Tarek Abdelzaher
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
YUHONG CHOU · Man Yao · Kexin Wang · Yuqi Pan · Rui-Jie Zhu · Jibin Wu · Yiran Zhong · Yu Qiao · Bo Xu · Guoqi Li
Hamiltonian Score Matching and Generative Flows
Peter Holderrieth · Yilun Xu · Tommi Jaakkola
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
Xuanyu Yi · Zike Wu · Qiuhong Shen · Qingshan Xu · Pan Zhou · Joo-Hwee Lim · Shuicheng Yan · Xinchao Wang · Hanwang Zhang
Efficient Lifelong Model Evaluation in an Era of Rapid Progress
Ameya Prabhu · Vishaal Udandarao · Philip Torr · Matthias Bethge · Adel Bibi · Samuel Albanie
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
Zhihan Liu · Miao Lu · Shenao Zhang · Boyi Liu · Hongyi Guo · Yingxiang Yang · Jose Blanchet · Zhaoran Wang
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
Yasi Zhang · Peiyu Yu · Yaxuan Zhu · Yingshan CHANG · Feng Gao · Ying Nian Wu · Oscar Leong
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
Anuroop Sriram · Benjamin Miller · Ricky T. Q. Chen · Brandon Wood
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
Mahdi Morafah · Vyacheslav Kungurtsev · Hojin Chang · Chen Chen · Bill Lin
Watermarking Makes Language Models Radioactive
Tom Sander · Pierre Fernandez · Alain Durmus · Matthijs Douze · Teddy Furon
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
Shelly Golan · Roy Ganz · Michael Elad
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
Yongxin Zhu · Bocheng Li · Hang Zhang · Xin Li · Linli Xu · Lidong Bing
SelfCodeAlign: Self-Alignment for Code Generation
Yuxiang Wei · Federico Cassano · Jiawei Liu · Yifeng Ding · Naman Jain · Zachary Mueller · Harm de Vries · Leandro Von Werra · Arjun Guha · LINGMING ZHANG
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Yang Sui · Yanyu Li · Anil Kag · Yerlan Idelbayev · Junli Cao · Ju Hu · Dhritiman Sagar · Bo Yuan · Sergey Tulyakov · Jian Ren
Schrodinger Bridge Flow for Unpaired Data Translation
Valentin De Bortoli · Iryna Korshunova · Andriy Mnih · Arnaud Doucet
Rethinking Score Distillation as a Bridge Between Image Distributions
David McAllister · Songwei Ge · Jia-Bin Huang · David Jacobs · Alexei Efros · Aleksander Holynski · Angjoo Kanazawa
Score-based generative models are provably robust: an uncertainty quantification perspective
Nikiforos Mimikos-Stamatopoulos · Benjamin Zhang · Markos Katsoulakis
Provable Posterior Sampling with Denoising Oracles via Tilted Transport
Joan Bruna · Jiequn Han
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
Chi-Wei Hsiao · Yu-Lun Liu · Cheng-Kun Yang · Sheng-Po Kuo · Kevin Jou · Chia-Ping Chen
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
Benyuan Meng · Qianqian Xu · Zitai Wang · Zhiyong Yang · Xiaochun Cao · Qingming Huang
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
Yuseung Lee · Taehoon Yoon · Minhyuk Sung
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
Rui Yang · Jie Wang · Guoping Wu · Bin Li
Improved off-policy training of diffusion samplers
Marcin Sendera · Minsu Kim · Sarthak Mittal · Pablo Lemos · Luca Scimeca · Jarrid Rector-Brooks · Alexandre Adam · Yoshua Bengio · Nikolay Malkin
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
Jialu Li · Jaemin Cho · Yi-Lin Sung · Jaehong Yoon · Mohit Bansal
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
Haowei Zhu · Dehua Tang · Ji Liu · Mingjie Lu · Jintu Zheng · Jinzhang Peng · Dong Li · Yu Wang · Fan Jiang · Lu Tian · Spandan Tiwari · Ashish Sirasao · Jun-Hai Yong · Bin Wang · Emad Barsoum
BiDM: Pushing the Limit of Quantization for Diffusion Models
Xingyu Zheng · Xianglong Liu · Yichen Bian · Xudong Ma · Yulun Zhang · Jiakai Wang · Jinyang Guo · Haotong Qin
Diffusion Models With Learned Adaptive Noise
Subham Sahoo · Aaron Gokaslan · Christopher De Sa · Volodymyr Kuleshov
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
Jingyuan Zhu · Shiyu Li · Yuxuan Liu · Jian Yuan · Ping Huang · Jiulong Shan · Huimin Ma
COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation
Ziyuan Zhang · Han Qiu · Maosen Zhang · Jun Liu · Bin Chen · Tianwei Zhang · Hewu Li
Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT
Le Zhuo · Ruoyi Du · Han Xiao · Yangguang Li · Dongyang Liu · Rongjie Huang · Wenze Liu · Xiangyang Zhu · Fu-Yun Wang · Zhanyu Ma · Xu Luo · Zehan Wang · Kaipeng Zhang · Lirui Zhao · Si Liu · Xiangyu Yue · Wanli Ouyang · Yu Qiao · Hongsheng Li · Peng Gao
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing
Junkun Chen · Yu-Xiong Wang
Image Copy Detection for Diffusion Models
Wenhao Wang · Yifan Sun · Zhentao Tan · Yi Yang
Graph Diffusion Transformers for Multi-Conditional Molecular Generation
Gang Liu · Jiaxin Xu · Tengfei Luo · Meng Jiang
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
Yi-Chung Chen · Zhi-Kai Huang · Jing-Ren Chen
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
Zijian Zhou · Xiaoqiang Lin · Xinyi Xu · Alok Prakash · Daniela Rus · Bryan Kian Hsiang Low
Many-Shot In-Context Learning
Rishabh Agarwal · Avi Singh · Lei Zhang · Bernd Bohnet · Luis Rosias · Stephanie Chan · Biao Zhang · Ankesh Anand · Zaheer Abbas · Azade Nova · John Co-Reyes · Eric Chu · Feryal Behbahani · Aleksandra Faust · Hugo Larochelle
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
Anna Mészáros · Szilvia Ujváry · Wieland Brendel · Patrik Reizinger · Ferenc Huszar
Estimating the Hallucination Rate of Generative AI
Andrew Jesson · Nicolas Beltran Velez · Quentin Chu · Sweta Karlekar · Jannik Kossen · Yarin Gal · John Cunningham · David Blei
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
Chengshuai Shi · Kun Yang · Jing Yang · Cong Shen
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
Jiaojiao Fan · Haotian Xue · Qinsheng Zhang · Yongxin Chen
Maia-2: A Unified Model for Human-AI Alignment in Chess
Zhenwei Tang · Difan Jiao · Reid McIlroy-Young · Jon Kleinberg · Siddhartha Sen · Ashton Anderson
LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image
Ruikai Cui · Xibin Song · Weixuan Sun · Senbo Wang · Weizhe Liu · Shenzhou Chen · Taizhang Shang · YANG LI · Nick Barnes · Hongdong Li · Pan Ji
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
Xinmeng Huang · Shuo Li · Edgar Dobriban · Osbert Bastani · Hamed Hassani · Dongsheng Ding
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng · Allen Nie · Adith Swaminathan
Mars: Situated Inductive Reasoning in an Open-World Environment
Xiaojuan Tang · Jiaqi Li · Yitao Liang · Song-Chun Zhu · Muhan Zhang · Zilong Zheng
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
Ke Wang · Junting Pan · Weikang Shi · Zimu Lu · Houxing Ren · Aojun Zhou · Mingjie Zhan · Hongsheng Li
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Xiaoxue Han · Zhuo Feng · Yue Ning
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
Jitao Zhao · Di Jin · Meng Ge · Lianze Shan · Xin Wang · Dongxiao He · Zhiyong Feng
Towards Principled Graph Transformers
Luis Müller · Daniel Kusuma · Blai Bonet · Christopher Morris
Dynamic Rescaling for Training GNNs
Nimrah Mustafa · Rebekka Burkholz
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
Kun Zhou · Beichen Zhang · jiapeng wang · Zhipeng Chen · Xin Zhao · Jing Sha · Zhichao Sheng · Shijin Wang · Ji-Rong Wen
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
Zhiqing Sun · Longhui Yu · Yikang Shen · Weiyang Liu · Yiming Yang · Sean Welleck · Chuang Gan
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
Terufumi Morishita · Gaku Morio · Atsuki Yamaguchi · Yasuhiro Sogawa
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
Javier Gonzalez · Aditya Nori
EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas
Mikhail Mozikov · Nikita Severin · Valeria Bodishtianu · Maria Glushanina · Ivan Nasonov · Daniil Orekhov · Pekhotin Vladislav · Ivan Makovetskiy · Mikhail Baklashkin · Vasily Lavrentyev · Akim Tsvigun · Denis Turdakov · Tatiana Shavrina · Andrey Savchenko · Ilya Makarov
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
Johannes Treutlein · Dami Choi · Jan Betley · Samuel Marks · Cem Anil · Roger Grosse · Owain Evans
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang · Denny Zhou
UGC: Universal Graph Coarsening
Mohit Kataria · Sandeep Kumar · Jayadeva Dr
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
Jialu Li · Yu Wang · Pengfei Zhu · Wanyu Lin · Qinghua Hu
Graph Edit Distance with General Costs Using Neural Set Divergence
Eeshaan Jain · Indradyumna Roy · Saswat Meher · Soumen Chakrabarti · Abir De
A Taxonomy of Challenges to Curating Fair Datasets
Dora Zhao · Morgan Scheuerman · Pooja Chitre · Jerone Andrews · Georgia Panagiotidou · Shawn Walker · Kathleen Pine · Alice Xiang
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
Zunnan Xu · Yukang Lin · Haonan Han · Sicheng Yang · Ronghui Li · Yachao Zhang · Xiu Li
Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction
Zhenyu Lou · Qiongjie Cui · Tuo Wang · Zhenbo Song · Luoming Zhang · Cheng Cheng · Haofan Wang · Xu Tang · Huaxia Li · Hong Zhou
Shared Autonomy with IDA: Interventional Diffusion Assistance
Brandon McMahan · Zhenghao (Mark) Peng · Bolei Zhou · Jonathan Kao
Towards Explainable Evaluation Metrics for Machine Translation
Christoph Leiter · Piyawat Lertvittayakumjorn · Marina Fomicheva · Wei Zhao · Yang Gao · Steffen Eger
Benchmarking the Attribution Quality of Vision Models
Robin Hesse · Simone Schaub-Meyer · Stefan Roth
Truth is Universal: Robust Detection of Lies in LLMs
Lennart Bürger · Fred Hamprecht · Boaz Nadler
Measuring Goal-Directedness
Matt MacDermott · James Fox · Francesco Belardinelli · Tom Everitt
Stochastic Concept Bottleneck Models
Moritz Vandenhirtz · Sonia Laguna · Ričards Marcinkevičs · Julia Vogt
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
James Oldfield · Markos Georgopoulos · Grigorios Chrysos · Christos Tzelepis · Yannis Panagakis · Mihalis Nicolaou · Jiankang Deng · Ioannis Patras
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference
Geng Chen · Yinxu Jia · Guanghui Wang · Changliang Zou
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
Jiachang Liu · Rui Zhang · Cynthia Rudin
Interpretable Mesomorphic Networks for Tabular Data
Arlind Kadra · Sebastian Pineda Arango · Josif Grabocka
Abrupt Learning in Transformers: A Case Study on Matrix Completion
Pulkit Gopalani · Ekdeep S Lubana · Wei Hu
Improving Decision Sparsity
Yiyang Sun · Tong Wang · Cynthia Rudin
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
Michael Lepori · Alexa Tartaglini · Wai Keen Vong · Thomas Serre · Brenden Lake · Ellie Pavlick
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
Dan Braun · Jordan Taylor · Nicholas Goldowsky-Dill · Lee Sharkey
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Usha Bhalla · Alex Oesterling · Suraj Srinivas · Flavio Calmon · Himabindu Lakkaraju
Optimal ablation for interpretability
Maximilian Li · Lucas Janson
Rule Based Rewards for Language Model Safety
Tong Mu · Alec Helyar · Johannes Heidecke · Joshua Achiam · Andrea Vallone · Ian Kivlichan · Molly Lin · Alex Beutel · John Schulman · Lilian Weng
A Full-duplex Speech Dialogue Scheme Based On Large Language Model
Peng Wang · Songshuo Lu · Yaohua Tang · Sijie Yan · Wei Xia · Yuanjun Xiong
OneBit: Towards Extremely Low-bit Large Language Models
Yuzhuang Xu · Xu Han · Zonghan Yang · Shuo Wang · Qingfu Zhu · Zhiyuan Liu · Weidong Liu · Wanxiang Che
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
Xun Guo · Yongxin He · Shan Zhang · Ting Zhang · Wanquan Feng · Haibin Huang · Chongyang Ma
Fractal Patterns May Illuminate the Success of Next-Token Prediction
Ibrahim Alabdulmohsin · Vinh Tran · Mostafa Dehghani
Aligner: Efficient Alignment by Learning to Correct
Jiaming Ji · Boyuan Chen · Hantao Lou · Donghai Hong · Borong Zhang · Xuehai Pan · Tianyi (Alex) Qiu · Juntao Dai · Yaodong Yang
Multi-LLM Debate: Framework, Principals, and Interventions
Andrew Estornell · Yang Liu
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
Letian Peng · Jingbo Shang
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Xin Cheng · Xun Wang · Xingxing Zhang · Tao Ge · Si-Qing Chen · Furu Wei · Huishuai Zhang · Dongyan Zhao
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
Kailai Yang · Zhiwei Liu · Qianqian Xie · Jimin Huang · Tianlin Zhang · Sophia Ananiadou
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
Zhanhui Zhou · Zhixuan Liu · Jie Liu · Zhichen Dong · Chao Yang · Yu Qiao
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
Wangbo Zhao · Jiasheng Tang · Yizeng Han · Yibing Song · Kai Wang · Gao Huang · Fan Wang · Yang You
A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness
Jiangyuan Li · Jiayi Wang · Raymond K. W. Wong · Kwun Chuen Gary Chan
Persistent Homology for High-dimensional Data Based on Spectral Methods
Sebastian Damrich · Philipp Berens · Dmitry Kobak
Approximating the Top Eigenvector in Random Order Streams
Praneeth Kacham · David Woodruff
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers
Adam Stooke · Rohit Prabhavalkar · Khe Sim · Pedro Moreno Mengibar
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
Chenyang Le · Yao Qian · Dongmei Wang · Long Zhou · Shujie LIU · Xiaofei Wang · Midia Yousefi · Yanmin Qian · Jinyu Li · Michael Zeng
SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
Junyi AO · Yuancheng Wang · Xiaohai Tian · Dekun Chen · Jun Zhang · Lu Lu · Yuxuan Wang · Haizhou Li · Zhizheng Wu
Co-occurrence is not Factual Association in Language Models
Xiao Zhang · Miao Li · Ji Wu
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
Roi Cohen · Konstantin Dobler · Eden Biran · Gerard de Melo
Reflective Multi-Agent Collaboration based on Large Language Models
Xiaohe Bo · Zeyu Zhang · Quanyu Dai · Xueyang Feng · Lei Wang · Rui Li · Xu Chen · Ji-Rong Wen
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
Fangcheng Liu · Yehui Tang · Zhenhua Liu · Yunsheng Ni · Duyu Tang · Kai Han · Yunhe Wang
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
Xiaoying Zhang · Jean-Francois Ton · Wei Shen · Hongning Wang · Yang Liu
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
Yu Zhang · Ruoyu Li · Nengwu Wu · Qing Li · Xinhan Lin · Yang Hu · Tao Li · Yong Jiang
A Kernel Perspective on Distillation-based Collaborative Learning
Sejun Park · Kihun Hong · Ganguk Hwang
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
Anna Korba · Francis Bach · Clémentine CHAZAL
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
Katharina Limbeck · Rayna Andreeva · Rik Sarkar · Bastian Rieck
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
Subash Timilsina · Sagar Shrestha · Xiao Fu
Large Language Models Must Be Taught to Know What They Don’t Know
Sanyam Kapoor · Nate Gruver · Manley Roberts · Katie Collins · Arka Pal · Umang Bhatt · Adrian Weller · Samuel Dooley · Micah Goldblum · Andrew Wilson
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective
Akiyoshi Tomihari · Issei Sato
One-shot Federated Learning via Synthetic Distiller-Distillate Communication
Junyuan Zhang · Songhua Liu · Xinchao Wang
Understanding the Transferability of Representations via Task-Relatedness
Akshay Mehra · Yunbei Zhang · Jihun Hamm
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
Zhuo Chen · Rumen Dangovski · Charlotte Loh · Owen Dugan · Di Luo · Marin Soljacic
Scaling laws for learning with real and surrogate data
Ayush Jain · Andrea Montanari · Eren Sasoglu
Unsupervised Anomaly Detection in The Presence of Missing Values
Feng Xiao · Jicong Fan
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
Jiachen Li · Xinyao Wang · Sijie Zhu · Chia-Wen Kuo · Lu XU · Fan Chen · Jitesh Jain · Humphrey Shi · Longyin Wen
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors
Chenyang Ma · Kai Lu · Ta-Ying Cheng · Niki Trigoni · Andrew Markham
Extending Multi-modal Contrastive Representations
Ziang Zhang · Zehan Wang · Luping Liu · Rongjie Huang · Xize Cheng · Zhenhui Ye · wang lin · Huadai Liu · Haifeng Huang · Yang Zhao · Tao Jin · Siqi Zheng · Zhou Zhao
Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts
Mohammad Sadil Khan · Sankalp Sinha · Talha Uddin · Didier Stricker · Sk Aziz Ali · Muhammad Zeshan Afzal
What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction
Sunny Panchal · Apratim Bhattacharyya · Guillaume Berger · Antoine Mercier · Cornelius Böhm · Florian Dietrichkeit · Reza Pourreza · Xuanlin Li · Pulkit Madan · Mingu Lee · Mark Todorovich · Ingo Bax · Roland Memisevic
Needle In A Multimodal Haystack
Weiyun Wang · Shuibo Zhang · Yiming Ren · Yuchen Duan · Tiantong Li · Shuo Liu · Mengkang Hu · Zhe Chen · Kaipeng Zhang · Lewei Lu · Xizhou Zhu · Ping Luo · Yu Qiao · Jifeng Dai · Wenqi Shao · Wenhai Wang
Revisiting Few-Shot Object Detection with Vision-Language Models
Anish Madan · Neehar Peri · Shu Kong · Deva Ramanan
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
Qian Shao · Jiangrui Kang · Qiyuan Chen · Zepeng Li · Hongxia Xu · Yiwen Cao · JIAJUAN LIANG · Jian Wu
Geometric Analysis of Nonlinear Manifold Clustering
Nimita Shinde · Tianjiao Ding · Daniel Robinson · Rene Vidal
Capturing the denoising effect of PCA via compression ratio
Chandra Sekhar Mukherjee · Nikhil Deorkar · Jiapeng Zhang
Localizing Memorization in SSL Vision Encoders
Wenhao Wang · Adam Dziedzic · Michael Backes · Franziska Boenisch
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
Xun Zhu · Ying Hu · Fanbin Mo · Miao Li · Ji Wu
Homology Consistency Constrained Efficient Tuning for Vision-Language Models
Huatian Zhang · Lei Zhang · Yongdong Zhang · Zhendong Mao
Learning Spatially-Aware Language and Audio Embeddings
Bhavika Devnani · Skyler Seto · Zakaria Aldeneh · Alessandro Toso · Elena Menyaylenko · Barry-John Theobald · Jonathan Sheaffer · Miguel Sarabia
AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting
Mingfei Chen · Eli Shlizerman
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
Christopher Wang · Adam Yaari · Aaditya Singh · Vighnesh Subramaniam · Dana Rosenfarb · Jan DeWitt · Pranav Misra · Joseph Madsen · Scellig Stone · Gabriel Kreiman · Boris Katz · Ignacio Cases · Andrei Barbu
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
Yiqi Jiang · Hakki Akengin · Ji Zhou · Mehmet Aslihak · Yang Li · Radoslaw Chrapkiewicz · Oscar Hernandez · sadegh ebrahimi · Omar Jaidar · Yanping Zhang · Hakan Inan · Christopher Miranda · Fatih Dinc · Marta Pozo · Mark Schnitzer
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
Aditi Jha · Diksha Gupta · Carlos Brody · Jonathan Pillow
Spiking Neural Network as Adaptive Event Stream Slicer
Jiahang Cao · Mingyuan Sun · Ziqing Wang · Hao Cheng · Qiang Zhang · shibo zhou · Renjing Xu
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
Jeonghwan Cheon · Sang Wan Lee · Se-Bum Paik
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
Xuan-Hao Liu · Yan-Kai Liu · Yansen Wang · Kan Ren · Hanwen Shi · Zilong Wang · Dongsheng Li · Bao-Liang Lu · Wei-Long Zheng
Not so griddy: Internal representations of RNNs path integrating more than one agent
William Redman · Francisco Acosta · Santiago Acosta-Mendoza · Nina Miolane
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
Eli Sennesh · Hao Wu · Tommaso Salvatori
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
Nicholas Gao · Stephan Günnemann
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
Daniel Hothem · Ashe Miller · Timothy Proctor
Advection Augmented Convolutional Neural Networks
Niloufar Zakariaei · Siddharth Rout · Eldad Haber · Moshe Eliasof
Latent Neural Operator for Solving Forward and Inverse PDE Problems
Tian Wang · Chuang Wang
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
Guglielmo Gattiglio · Lyudmila Grigoryeva · Massimiliano Tamborrino
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
Tassilo Wald · Constantin Ulrich · Priyank Jaini · Gregor Koehler · David Zimmerer · Stefan Denner · Fabian Isensee · Michael Baumgartner · Klaus Maier-Hein
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
Yamin Li · Ange Lou · Ziyuan Xu · Shengchao Zhang · Shiyu Wang · Dario Englot · Soheil Kolouri · Daniel Moyer · Roza Bayrak · Catie Chang
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Apolline Mellot · Antoine Collas · Sylvain Chevallier · Alex Gramfort · Denis Engemann
Shaping the distribution of neural responses with interneurons in a recurrent circuit model
David Lipshutz · Eero Simoncelli
Discovering plasticity rules that organize and maintain neural circuits
David Bell · Alison Duffy · Adrienne Fairhall
Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise
Francesco Damiani · Akiyuki Anzai · Jan Drugowitsch · Gregory DeAngelis · Ruben Moreno Bote
Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
Zhaoze Wang · Ronald Di Tullio · Spencer Rooke · Vijay Balasubramanian
Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency
Yue Li · Yi Sun · Shida Sun · Juntian Ye · Yueyi Zhang · Feihu Xu · Zhiwei Xiong
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
Yifei Zhang · Huan-ang Gao · zhou jiang · Hao Zhao
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
Zijie Huang · Wanjia Zhao · Jingdong Gao · Ziniu Hu · Xiao Luo · Yadi Cao · Yuanzhou Chen · Yizhou Sun · Wei Wang
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
Yusong Wang · Chaoran Cheng · Shaoning Li · Yuxuan Ren · Bin Shao · Ge Liu · Pheng-Ann Heng · Nanning Zheng
Learning 3D Garment Animation from Trajectories of A Piece of Cloth
YIDI SHAO · Chen Change Loy · Bo Dai
Generalization of Hamiltonian algorithms
Andreas Maurer
On Divergence Measures for Training GFlowNets
Tiago Silva · Eliezer de Souza da Silva · Diego Mesquita
A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics
Lennert De Smet · Pedro Zuidberg Dos Martires
Learning to be Smooth: An End-to-End Differentiable Particle Smoother
Ali Younis · Erik Sudderth
A Generative Model of Symmetry Transformations
James Allingham · Bruno Mlodozeniec · Shreyas Padhy · Javier Antorán · David Krueger · Richard Turner · Eric Nalisnick · José Miguel Hernández-Lobato
Deep Learning for Computing Convergence Rates of Markov Chains
Yanlin Qu · Jose Blanchet · Peter W Glynn
Functional Gradient Flows for Constrained Sampling
Shiyue Zhang · Longlin Yu · Ziheng Cheng · Cheng Zhang
A Compositional Atlas for Algebraic Circuits
Benjie Wang · Denis Mauá · Guy Van den Broeck · YooJung Choi
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Gennaro Gala · Cassio de Campos · Antonio Vergari · Erik Quaeghebeur
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
Ye He · Alireza Mousavi-Hosseini · Krishnakumar Balasubramanian · Murat Erdogdu
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Yunyue Wei · Vincent Zhuang · Saraswati Soedarmadji · Yanan Sui
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
Alexander Terenin · David Burt · Artem Artemev · Seth Flaxman · Mark van der Wilk · Carl Edward Rasmussen · Hong Ge
Quasi-Bayes meets Vines
David Huk · Yuanhe Zhang · Ritabrata Dutta · Mark Steel
General bounds on the quality of Bayesian coresets
Trevor Campbell
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
Marco Miani · Lorenzo Beretta · Søren Hauberg
On the Expressive Power of Tree-Structured Probabilistic Circuits
Lang Yin · Han Zhao
An Information Theoretic Perspective on Conformal Prediction
Alvaro Correia · Fabio Valerio Massoli · Christos Louizos · Arash Behboodi
EigenVI: score-based variational inference with orthogonal function expansions
Diana Cai · Chirag Modi · Charles Margossian · Robert Gower · David Blei · Lawrence Saul
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
Yipu Chen · Haotian Xue · Yongxin Chen
Motion Forecasting in Continuous Driving
Nan Song · Bozhou Zhang · Xiatian Zhu · Li Zhang
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
Bozhou Zhang · Nan Song · Li Zhang
FactorSim: Generative Simulation via Factorized Representation
Fan-Yun Sun · Harini S I · Angela Yi · Yihan Zhou · Alex Zook · Jonathan Tremblay · Logan Cross · Jiajun Wu · Nick Haber
CulturePark: Boosting Cross-cultural Understanding in Large Language Models
Cheng Li · Damien Teney · Linyi Yang · Qingsong Wen · Xing Xie · Jindong Wang
An engine not a camera: Measuring performative power of online search
Celestine Mendler-Dünner · Gabriele Carovano · Moritz Hardt
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark
Qinghua Liu · John Paparrizos
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
Haoxin Liu · Shangqing Xu · Zhiyuan Zhao · Lingkai Kong · Harshavardhan Prabhakar Kamarthi · Aditya Sasanur · Megha Sharma · Jiaming Cui · Qingsong Wen · Chao Zhang · B. Aditya Prakash
Are Language Models Actually Useful for Time Series Forecasting?
Mingtian Tan · Mike Merrill · Vinayak Gupta · Tim Althoff · Tom Hartvigsen
Distributionally Robust Performative Prediction
Songkai Xue · Yuekai Sun
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
Shengfang ZHAI · Huanran Chen · Yinpeng Dong · Jiajun Li · Qingni Shen · Yansong Gao · Hang Su · Yang Liu
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
Haibo Jin · Andy Zhou · Joe Menke · Haohan Wang
Optimal Classification under Performative Distribution Shift
Edwige Cyffers · Muni Sreenivas Pydi · Jamal Atif · Olivier Cappé
Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection
Hui Wei · Zhixiang Wang · Kewei Zhang · Jiaqi Hou · Yuanwei Liu · Hao Tang · Zheng Wang
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
Hoin Jung · Taeuk Jang · Xiaoqian Wang
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
Chaochao Chen · Jiaming Zhang · Yizhao Zhang · Li Zhang · Lingjuan Lyu · Yuyuan Li · Biao Gong · Chenggang Yan
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models
Yibo Miao · Yifan Zhu · Lijia Yu · Jun Zhu · Xiao-Shan Gao · Yinpeng Dong
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
Kun Yi · Jingru Fei · Qi Zhang · Hui He · Shufeng Hao · Defu Lian · Wei Fan
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
Jiaxi Hu · Yuehong HU · Wei Chen · Ming Jin · Shirui Pan · Qingsong Wen · Yuxuan Liang
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
Shengsheng Lin · Weiwei Lin · Xinyi HU · Wentai Wu · Ruichao Mo · Haocheng Zhong
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
Zhaomin Wu · Junyi Hou · Yiqun Diao · Bingsheng He
Improving Alignment and Robustness with Circuit Breakers
Andy Zou · Long Phan · Justin Wang · Derek Duenas · Maxwell Lin · Maksym Andriushchenko · J. Zico Kolter · Matt Fredrikson · Dan Hendrycks
Perplexity-aware Correction for Robust Alignment with Noisy Preferences
Keyi Kong · Xilie Xu · Di Wang · Jingfeng ZHANG · Mohan Kankanhalli
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
Tiansheng Huang · Sihao Hu · Fatih Ilhan · Selim Tekin · Ling Liu
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe · Claudio Mayrink Verdun · Hannah Laus · Felix Krahmer · Holger Rauhut
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
Yong-Hyun Park · Sangdoo Yun · Jin-Hwa Kim · Junho Kim · Geonhui Jang · Yonghyun Jeong · Junghyo Jo · Gayoung Lee
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
Zhaorun Chen · Zhen Xiang · Chaowei Xiao · Dawn Song · Bo Li
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature
Deepak Ravikumar · Efstathia Soufleri · Kaushik Roy
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
Paulius Rauba · Nabeel Seedat · Krzysztof Kacprzyk · Mihaela van der Schaar
Soft-Label Integration for Robust Toxicity Classification
Zelei Cheng · Xian Wu · Jiahao Yu · Shuo Han · Xin-Qiang Cai · Xinyu Xing
Robust Conformal Prediction Using Privileged Information
Shai Feldman · Yaniv Romano
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
Liwei Jiang · Kavel Rao · Seungju Han · Allyson Ettinger · Faeze Brahman · Sachin Kumar · Niloofar Mireshghallah · Ximing Lu · Maarten Sap · Yejin Choi · Nouha Dziri
CALVIN: Improved Contextual Video Captioning via Instruction Tuning
Gowthami Somepalli · Arkabandhu Chowdhury · Jonas Geiping · Ronen Basri · Tom Goldstein · David Jacobs
LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D
Zeng Tao · Tong Yang · Junxiong Lin · Xinji Mai · Haoran Wang · Beining Wang · Enyu Zhou · Yan Wang · Wenqiang Zhang
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
Ilias Diakonikolas · Nikos Zarifis
Generative Retrieval Meets Multi-Graded Relevance
Yubao Tang · Ruqing Zhang · Jiafeng Guo · Maarten Rijke · Wei Chen · Xueqi Cheng
Reliable Learning of Halfspaces under Gaussian Marginals
Ilias Diakonikolas · Lisheng Ren · Nikos Zarifis
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
Xian Wu · Yutian Zhao · Yunyan Zhang · Jiageng Wu · Zhihong Zhu · Yingying Zhang · Yi Ouyang · Ziheng Zhang · Huimin WANG · zhenxi Lin · Jie Yang · Shuang Zhao · Yefeng Zheng
MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction
John Arevalo · Ellen Su · Anne Carpenter · Shantanu Singh
Scalable Early Childhood Reading Performance Prediction
Zhongkai Shangguan · Zanming Huang · Eshed Ohn-Bar · Ola Ozernov-Palchik · Derek Kosty · Michael Stoolmiller · Hank Fien
FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
hanzhe li · Jiaran Zhou · Yuezun Li · Baoyuan Wu · Bin Li · Junyu Dong
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes
Gaochao Song · Chong Cheng · Hao Wang
Unravelling in Collaborative Learning
Aymeric Capitaine · Etienne Boursier · Antoine Scheid · Eric Moulines · Michael Jordan · El-Mahdi El-Mhamdi · Alain Durmus
Multi-Object Hallucination in Vision Language Models
Xuweiyi Chen · Ziqiao Ma · Xuejun Zhang · Sihan Xu · Shengyi Qian · Jianing Yang · David Fouhey · Joyce Chai
Smoothed Online Classification can be Harder than Batch Classification
Vinod Raman · Unique Subedi · Ambuj Tewari
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
Jinzhu Luo · Dingyang Chen · Qi Zhang
Towards Stable Representations for Protein Interface Prediction
Ziqi Gao · Zijing Liu · Yu Li · Jia Li
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
Yi Ma · Jianye Hao · Xiaohan Hu · YAN ZHENG · Chenjun Xiao
Gradient-Variation Online Learning under Generalized Smoothness
Yan-Feng Xie · Peng Zhao · Zhi-Hua Zhou
Robust Fine-tuning of Zero-shot Models via Variance Reduction
Beier Zhu · Jiequan Cui · Hanwang Zhang
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control
Huayu Chen · Kaiwen Zheng · Hang Su · Jun Zhu
MAmmoTH2: Scaling Instructions from the Web
Xiang Yue · Tianyu Zheng · Ge Zhang · Wenhu Chen
Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification
Enrique Nueve · Dhamma Kimpara · Bo Waggoner · Jessica Finocchiaro
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong · Jie Hao · Mingrui Liu
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner
Xing Cui · Peipei Li · Zekun Li · Xuannan Liu · Yueying Zou · Zhaofeng He
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
Jingyang Yuan · Gongbo Sun · Zhiping Xiao · Hang Zhou · Xiao Luo · Junyu Luo · Yusheng Zhao · Wei Ju · Ming Zhang
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
Yuhan Li · Hao Zhou · Wenxiang Shang · Ran Lin · Xuanhong Chen · Bingbing Ni
UNIT: Unifying Image and Text Recognition in One Vision Encoder
Yi Zhu · Zhou Yanpeng · Chunwei Wang · Yang Cao · Jianhua Han · Lu Hou · Hang Xu
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7:00 PM - 8:00 PM

Business meeting to address community questions. Not live streamed.

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Reception
8:00 PM - 9:30 PM