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Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #83
Conservative Q-Learning for Offline Reinforcement Learning
In Poster Session 3
Aviral Kumar · Aurick Zhou · George Tucker · Sergey Levine
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #571
Towards Playing Full MOBA Games with Deep Reinforcement Learning
In Poster Session 3
Deheng Ye · Guibin Chen · Wen Zhang · Sheng Chen · Bo Yuan · Bo Liu · Jia Chen · Zhao Liu · Fuhao Qiu · Hongsheng Yu · Yinyuting Yin · Bei Shi · Liang Wang · Tengfei Shi · Qiang Fu · Wei Yang · Lanxiao Huang · Wei Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #572
Federated Bayesian Optimization via Thompson Sampling
In Poster Session 3
Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #573
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
In Poster Session 3
Yunqiu Xu · Meng Fang · Ling Chen · Yali Du · Joey Tianyi Zhou · Chengqi Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #574
Reinforcement Learning with Augmented Data
In Poster Session 3
Misha Laskin · Kimin Lee · Adam Stooke · Lerrel Pinto · Pieter Abbeel · Aravind Srinivas
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #575
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
In Poster Session 3
Tianren Zhang · Shangqi Guo · Tian Tan · Xiaolin Hu · Feng Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #576
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition
In Poster Session 3
Zihan Zhang · Yuan Zhou · Xiangyang Ji
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #577
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
In Poster Session 3
Tabish Rashid · Gregory Farquhar · Bei Peng · Shimon Whiteson
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #578
Succinct and Robust Multi-Agent Communication With Temporal Message Control
In Poster Session 3
Sai Qian Zhang · Qi Zhang · Jieyu Lin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #579
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
In Poster Session 3
Guannan Qu · Yiheng Lin · Adam Wierman · Na Li
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #580
Learning Individually Inferred Communication for Multi-Agent Cooperation
In Poster Session 3
gang Ding · Tiejun Huang · Zongqing Lu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #581
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
In Poster Session 3
Bowen Baker
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #582
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces
In Poster Session 3
Zaheen Ahmad · Levi Lelis · Michael Bowling
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #583
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
In Poster Session 3
Dieqiao Feng · Carla Gomes · Bart Selman
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #584
Softmax Deep Double Deterministic Policy Gradients
In Poster Session 3
Ling Pan · Qingpeng Cai · Longbo Huang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #585
Non-Crossing Quantile Regression for Distributional Reinforcement Learning
In Poster Session 3
Fan Zhou · Jianing Wang · Xingdong Feng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #586
Improving Generalization in Reinforcement Learning with Mixture Regularization
In Poster Session 3
KAIXIN WANG · Bingyi Kang · Jie Shao · Jiashi Feng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #587
Choice Bandits
In Poster Session 3
Arpit Agarwal · Nicholas Johnson · Shivani Agarwal
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #588
Differentiable Meta-Learning of Bandit Policies
In Poster Session 3
Craig Boutilier · Chih-wei Hsu · Branislav Kveton · Martin Mladenov · Csaba Szepesvari · Manzil Zaheer
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #589
Latent Bandits Revisited
In Poster Session 3
Joey Hong · Branislav Kveton · Manzil Zaheer · Yinlam Chow · Amr Ahmed · Craig Boutilier
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #590
Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards
In Poster Session 3
Vrettos Moulos
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #591
Sub-sampling for Efficient Non-Parametric Bandit Exploration
In Poster Session 3
Dorian Baudry · Emilie Kaufmann · Odalric-Ambrym Maillard
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #592
Online Learning in Contextual Bandits using Gated Linear Networks
In Poster Session 3
Eren Sezener · Marcus Hutter · David Budden · Jianan Wang · Joel Veness
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #593
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization
In Poster Session 3
Qing Feng · Ben Letham · Hongzi Mao · Eytan Bakshy
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #594
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
In Poster Session 3
Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #595
RD$^2$: Reward Decomposition with Representation Decomposition
In Poster Session 3
Zichuan Lin · Derek Yang · Li Zhao · Tao Qin · Guangwen Yang · Tie-Yan Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #596
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
In Poster Session 3
Sreejith Balakrishnan · Quoc Phong Nguyen · Bryan Kian Hsiang Low · Harold Soh
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #597
Learning Guidance Rewards with Trajectory-space Smoothing
In Poster Session 3
Tanmay Gangwani · Yuan Zhou · Jian Peng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #598
Avoiding Side Effects in Complex Environments
In Poster Session 3
Alex Turner · Neale Ratzlaff · Prasad Tadepalli
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #599
Reward-rational (implicit) choice: A unifying formalism for reward learning
In Poster Session 3
Hong Jun Jeon · Smitha Milli · Anca Dragan
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #600
Planning with General Objective Functions: Going Beyond Total Rewards
In Poster Session 3
Ruosong Wang · Peilin Zhong · Simon Du · Russ Salakhutdinov · Lin Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #601
Preference-based Reinforcement Learning with Finite-Time Guarantees
In Poster Session 3
Yichong Xu · Ruosong Wang · Lin Yang · Aarti Singh · Artur Dubrawski
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #602
Is Long Horizon RL More Difficult Than Short Horizon RL?
In Poster Session 3
Ruosong Wang · Simon Du · Lin Yang · Sham Kakade
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #603
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
In Poster Session 3
Wei Zhou · Yiying Li · Yongxin Yang · Huaimin Wang · Timothy Hospedales
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #604
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
In Poster Session 3
Yeong-Dae Kwon · Jinho Choo · Byoungjip Kim · Iljoo Yoon · Youngjune Gwon · Seungjai Min
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #605
Error Bounds of Imitating Policies and Environments
In Poster Session 3
Tian Xu · Ziniu Li · Yang Yu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #606
Model-based Adversarial Meta-Reinforcement Learning
In Poster Session 3
Zichuan Lin · Garrett Thomas · Guangwen Yang · Tengyu Ma
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #608
Offline Imitation Learning with a Misspecified Simulator
In Poster Session 3
Shengyi Jiang · Jingcheng Pang · Yang Yu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #609
Policy Improvement via Imitation of Multiple Oracles
In Poster Session 3
Ching-An Cheng · Andrey Kolobov · Alekh Agarwal
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #610
Toward the Fundamental Limits of Imitation Learning
In Poster Session 3
Nived Rajaraman · Lin Yang · Jiantao Jiao · Kannan Ramchandran
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #611
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
In Poster Session 3
Younggyo Seo · Kimin Lee · Ignasi Clavera Gilaberte · Thanard Kurutach · Jinwoo Shin · Pieter Abbeel
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #612
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
In Poster Session 3
Yufeng Zhang · Qi Cai · Zhuoran Yang · Yongxin Chen · Zhaoran Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #613
Multi-task Batch Reinforcement Learning with Metric Learning
In Poster Session 3
Jiachen Li · Quan Vuong · Shuang Liu · Minghua Liu · Kamil Ciosek · Henrik Christensen · Hao Su
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #614
Multi-Task Reinforcement Learning with Soft Modularization
In Poster Session 3
Ruihan Yang · Huazhe Xu · YI WU · Xiaolong Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #615
Generalized Hindsight for Reinforcement Learning
In Poster Session 3
Alexander Li · Lerrel Pinto · Pieter Abbeel
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #616
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
In Poster Session 3
Cong Zhang · Wen Song · Zhiguang Cao · Jie Zhang · Puay Siew Tan · Xu Chi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #617
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
In Poster Session 3
Xinyue Chen · Zijian Zhou · Zheng Wang · Che Wang · Yanqiu Wu · Keith Ross
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #618
Steady State Analysis of Episodic Reinforcement Learning
In Poster Session 3
Huang Bojun
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #619
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
In Poster Session 3
Douwe Kiela · Hamed Firooz · Aravind Mohan · Vedanuj Goswami · Amanpreet Singh · Pratik Ringshia · Davide Testuggine
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #620
Learning Disentangled Representations of Videos with Missing Data
In Poster Session 3
Armand Comas · Chi Zhang · Zlatan Feric · Octavia Camps · Rose Yu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #621
Cycle-Contrast for Self-Supervised Video Representation Learning
In Poster Session 3
Quan Kong · Wenpeng Wei · Ziwei Deng · Tomoaki Yoshinaga · Tomokazu Murakami
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #622
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
In Poster Session 3
Yuehua Zhu · Muli Yang · Cheng Deng · Wei Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #623
Blind Video Temporal Consistency via Deep Video Prior
In Poster Session 3
Chenyang Lei · Yazhou Xing · Qifeng Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #624
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
In Poster Session 3
Shir Gur · Sagie Benaim · Lior Wolf
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #625
Space-Time Correspondence as a Contrastive Random Walk
In Poster Session 3
Allan Jabri · Andrew Owens · Alexei Efros
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #626
Do Adversarially Robust ImageNet Models Transfer Better?
In Poster Session 3
Hadi Salman · Andrew Ilyas · Logan Engstrom · Ashish Kapoor · Aleksander Madry
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #627
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement
In Poster Session 3
Yongqing Liang · Xin Li · Navid Jafari · Jim Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #628
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding
In Poster Session 3
Zhu Zhang · Zhou Zhao · Zhijie Lin · jieming zhu · Xiuqiang He
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #629
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
In Poster Session 3
Juan Luis GonzalezBello · Munchurl Kim
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #630
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
In Poster Session 3
Simon Ging · Mohammadreza Zolfaghari · Hamed Pirsiavash · Thomas Brox
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #631
Stochastic Normalization
In Poster Session 3
Zhi Kou · Kaichao You · Mingsheng Long · Jianmin Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #632
Curriculum By Smoothing
In Poster Session 3
Samarth Sinha · Animesh Garg · Hugo Larochelle
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #633
Focus of Attention Improves Information Transfer in Visual Features
In Poster Session 3
Matteo Tiezzi · Stefano Melacci · Alessandro Betti · Marco Maggini · Marco Gori
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #634
Semantic Visual Navigation by Watching YouTube Videos
In Poster Session 3
Matthew Chang · Arjun Gupta · Saurabh Gupta
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #635
Lipschitz-Certifiable Training with a Tight Outer Bound
In Poster Session 3
Sungyoon Lee · Jaewook Lee · Saerom Park
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #636
Efficient Exact Verification of Binarized Neural Networks
In Poster Session 3
Kai Jia · Martin Rinard
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #637
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
In Poster Session 3
Zifeng Wang · Xi Chen · Rui Wen · Shao-Lun Huang · Ercan E Kuruoglu · Yefeng Zheng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #638
CASTLE: Regularization via Auxiliary Causal Graph Discovery
In Poster Session 3
Trent Kyono · Yao Zhang · Mihaela van der Schaar
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #639
Multi-Stage Influence Function
In Poster Session 3
Hongge Chen · Si Si · Yang Li · Ciprian Chelba · Sanjiv Kumar · Duane Boning · Cho-Jui Hsieh
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #640
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
In Poster Session 3
Chih-Kuan Yeh · Been Kim · Sercan Arik · Chun-Liang Li · Tomas Pfister · Pradeep Ravikumar
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #641
Adaptive Online Estimation of Piecewise Polynomial Trends
In Poster Session 3
Dheeraj Baby · Yu-Xiang Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #642
Robust Optimization for Fairness with Noisy Protected Groups
In Poster Session 3
Serena Wang · Wenshuo Guo · Harikrishna Narasimhan · Andrew Cotter · Maya Gupta · Michael Jordan
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #643
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
In Poster Session 3
Kaivalya Rawal · Himabindu Lakkaraju
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #644
The Discrete Gaussian for Differential Privacy
In Poster Session 3
Clément L Canonne · Gautam Kamath · Thomas Steinke
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #645
Locally Differentially Private (Contextual) Bandits Learning
In Poster Session 3
Kai Zheng · Tianle Cai · Weiran Huang · Zhenguo Li · Liwei Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #646
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning
In Poster Session 3
Jinhyun So · Basak Guler · Salman Avestimehr
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #647
Privacy Amplification via Random Check-Ins
In Poster Session 3
Borja Balle · Peter Kairouz · Brendan McMahan · Om Thakkar · Abhradeep Guha Thakurta
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #648
The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space
In Poster Session 3
Adam Smith · Shuang Song · Abhradeep Guha Thakurta
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #649
Breaking the Communication-Privacy-Accuracy Trilemma
In Poster Session 3
Wei-Ning Chen · Peter Kairouz · Ayfer Ozgur
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #650
Towards practical differentially private causal graph discovery
In Poster Session 3
Lun Wang · Qi Pang · Dawn Song
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #651
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
In Poster Session 3
Dmitry Kovalev · Adil Salim · Peter Richtarik
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #652
Relative gradient optimization of the Jacobian term in unsupervised deep learning
In Poster Session 3
Luigi Gresele · Giancarlo Fissore · Adrián Javaloy · Bernhard Schölkopf · Aapo Hyvarinen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #653
Multipole Graph Neural Operator for Parametric Partial Differential Equations
In Poster Session 3
Zongyi Li · Nikola Kovachki · Kamyar Azizzadenesheli · Burigede Liu · Andrew Stuart · Kaushik Bhattacharya · Anima Anandkumar
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #654
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
In Poster Session 3
Hanjun Dai · Rishabh Singh · Bo Dai · Charles Sutton · Dale Schuurmans
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #655
Proximity Operator of the Matrix Perspective Function and its Applications
In Poster Session 3
Joong-Ho (Johann) Won
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #656
Improved Algorithms for Convex-Concave Minimax Optimization
In Poster Session 3
Yuanhao Wang · Jian Li
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #657
Decentralized Accelerated Proximal Gradient Descent
In Poster Session 3
Haishan Ye · Ziang Zhou · Luo Luo · Tong Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #658
Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization
In Poster Session 3
Yan Yan · Yi Xu · Qihang Lin · Wei Liu · Tianbao Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #659
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
In Poster Session 3
Filip Hanzely · Slavomír Hanzely · Samuel Horváth · Peter Richtarik
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #660
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
In Poster Session 3
Haoran Zhu · Pavankumar Murali · Dzung Phan · Lam Nguyen · Jayant Kalagnanam
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #661
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
In Poster Session 3
Digvijay Boob · Qi Deng · Guanghui Lan · Yilin Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #662
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
In Poster Session 3
Yueming LYU · Yuan Yuan · Ivor Tsang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #663
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
In Poster Session 3
Shali Jiang · Daniel Jiang · Maximilian Balandat · Brian Karrer · Jacob Gardner · Roman Garnett
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #664
Optimal Query Complexity of Secure Stochastic Convex Optimization
In Poster Session 3
Wei Tang · Chien-Ju Ho · Yang Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #665
Approximate Cross-Validation with Low-Rank Data in High Dimensions
In Poster Session 3
Will Stephenson · Madeleine Udell · Tamara Broderick
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #666
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
In Poster Session 3
Minh Hoang · Nghia Hoang · Hai Pham · David Woodruff
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #667
A Closer Look at Accuracy vs. Robustness
In Poster Session 3
Yao-Yuan Yang · Cyrus Rashtchian · Hongyang Zhang · Russ Salakhutdinov · Kamalika Chaudhuri
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #668
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
In Poster Session 3
Wei-An Lin · Chun Pong Lau · Alexander Levine · Rama Chellappa · Soheil Feizi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #669
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
In Poster Session 3
Hadi Mohaghegh Dolatabadi · Sarah Erfani · Christopher Leckie
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #670
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
In Poster Session 3
Haotao Wang · Tianlong Chen · Shupeng Gui · TingKuei Hu · Ji Liu · Zhangyang Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #671
Adversarial Distributional Training for Robust Deep Learning
In Poster Session 3
Yinpeng Dong · Zhijie Deng · Tianyu Pang · Jun Zhu · Hang Su
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #672
On the Trade-off between Adversarial and Backdoor Robustness
In Poster Session 3
Cheng-Hsin Weng · Yan-Ting Lee · Shan-Hung (Brandon) Wu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #673
An Efficient Adversarial Attack for Tree Ensembles
In Poster Session 3
Chong Zhang · Huan Zhang · Cho-Jui Hsieh
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #674
Adversarial Self-Supervised Contrastive Learning
In Poster Session 3
Minseon Kim · Jihoon Tack · Sung Ju Hwang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #675
Adversarial Weight Perturbation Helps Robust Generalization
In Poster Session 3
Dongxian Wu · Shu-Tao Xia · Yisen Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #676
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
In Poster Session 3
Zhe Gan · Yen-Chun Chen · Linjie Li · Chen Zhu · Yu Cheng · Jingjing Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #677
GreedyFool: Distortion-Aware Sparse Adversarial Attack
In Poster Session 3
Xiaoyi Dong · Dongdong Chen · Jianmin Bao · Chuan Qin · Lu Yuan · Weiming Zhang · Nenghai Yu · Dong Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #678
Consistency Regularization for Certified Robustness of Smoothed Classifiers
In Poster Session 3
Jongheon Jeong · Jinwoo Shin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #679
Measuring Robustness to Natural Distribution Shifts in Image Classification
In Poster Session 3
Rohan Taori · Achal Dave · Vaishaal Shankar · Nicholas Carlini · Benjamin Recht · Ludwig Schmidt
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #680
Certified Monotonic Neural Networks
In Poster Session 3
Xingchao Liu · Xing Han · Na Zhang · Qiang Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #681
Backpropagating Linearly Improves Transferability of Adversarial Examples
In Poster Session 3
Yiwen Guo · Qizhang Li · Hao Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #682
Practical No-box Adversarial Attacks against DNNs
In Poster Session 3
Qizhang Li · Yiwen Guo · Hao Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #683
Learning to Adapt to Evolving Domains
In Poster Session 3
Hong Liu · Mingsheng Long · Jianmin Wang · Yu Wang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #684
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
In Poster Session 3
Jeong Un Ryu · JaeWoong Shin · Hae Beom Lee · Sung Ju Hwang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #685
Heuristic Domain Adaptation
In Poster Session 3
Shuhao Cui · Xuan Jin · Shuhui Wang · Yuan He · Qingming Huang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #686
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
In Poster Session 3
Yawei Luo · Ping Liu · Tao Guan · Junqing Yu · Yi Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #687
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
In Poster Session 3
Chong You · Zhihui Zhu · Qing Qu · Yi Ma
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #688
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
In Poster Session 3
Yixiao Ge · Feng Zhu · Dapeng Chen · Rui Zhao · Hongsheng Li
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #689
Implicit Neural Representations with Periodic Activation Functions
In Poster Session 3
Vincent Sitzmann · Julien N.P Martel · Alexander Bergman · David Lindell · Gordon Wetzstein
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #690
Rethinking Pre-training and Self-training
In Poster Session 3
Barret Zoph · Golnaz Ghiasi · Tsung-Yi Lin · Yin Cui · Hanxiao Liu · Ekin Dogus Cubuk · Quoc V Le
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #691
MetaSDF: Meta-Learning Signed Distance Functions
In Poster Session 3
Vincent Sitzmann · Eric Chan · Richard Tucker · Noah Snavely · Gordon Wetzstein
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #692
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
In Poster Session 3
Jihoon Tack · Sangwoo Mo · Jongheon Jeong · Jinwoo Shin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #693
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
In Poster Session 3
Guoliang Kang · Yunchao Wei · Yi Yang · Yueting Zhuang · Alexander Hauptmann
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #694
Deep Automodulators
In Poster Session 3
Ari Heljakka · Yuxin Hou · Juho Kannala · Arno Solin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #695
Autoregressive Score Matching
In Poster Session 3
Chenlin Meng · Lantao Yu · Yang Song · Jiaming Song · Stefano Ermon
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #696
Compositional Visual Generation with Energy Based Models
In Poster Session 3
Yilun Du · Shuang Li · Igor Mordatch
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #697
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions
In Poster Session 3
Michael Tsang · Sirisha Rambhatla · Yan Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #698
Domain Adaptation as a Problem of Inference on Graphical Models
In Poster Session 3
Kun Zhang · Mingming Gong · Petar Stojanov · Biwei Huang · QINGSONG LIU · Clark Glymour
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #699
Fast Unbalanced Optimal Transport on a Tree
In Poster Session 3
Ryoma Sato · Makoto Yamada · Hisashi Kashima
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #700
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
In Poster Session 3
Takeshi Teshima · Isao Ishikawa · Koichi Tojo · Kenta Oono · Masahiro Ikeda · Masashi Sugiyama
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #701
O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers
In Poster Session 3
Chulhee Yun · Yin-Wen Chang · Srinadh Bhojanapalli · Ankit Singh Rawat · Sashank Reddi · Sanjiv Kumar
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #702
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions
In Poster Session 3
Yulong Lu · Jianfeng Lu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #703
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
In Poster Session 3
Arun Jambulapati · Jerry Li · Kevin Tian
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #704
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?
In Poster Session 3
Qiwen Cui · Lin Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #705
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
In Poster Session 3
Dinghuai Zhang · Mao Ye · Chengyue Gong · Zhanxing Zhu · Qiang Liu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #706
Preference learning along multiple criteria: A game-theoretic perspective
In Poster Session 3
Kush Bhatia · Ashwin Pananjady · Peter Bartlett · Anca Dragan · Martin Wainwright
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #707
On Correctness of Automatic Differentiation for Non-Differentiable Functions
In Poster Session 3
Wonyeol Lee · Hangyeol Yu · Xavier Rival · Hongseok Yang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #708
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time
In Poster Session 3
Jerry Li · Guanghao Ye
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #709
Cooperative Multi-player Bandit Optimization
In Poster Session 3
Ilai Bistritz · Nicholas Bambos
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #710
Neutralizing Self-Selection Bias in Sampling for Sortition
In Poster Session 3
Bailey Flanigan · Paul Gölz · Anupam Gupta · Ariel Procaccia
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #711
The Complete Lasso Tradeoff Diagram
In Poster Session 3
Hua Wang · Yachong Yang · Zhiqi Bu · Weijie Su
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #712
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
In Poster Session 3
Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #713
Distributional Robustness with IPMs and links to Regularization and GANs
In Poster Session 3
Hisham Husain
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #714
Towards Convergence Rate Analysis of Random Forests for Classification
In Poster Session 3
Wei Gao · Zhi-Hua Zhou
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #715
Learning to Mutate with Hypergradient Guided Population
In Poster Session 3
Zhiqiang Tao · Yaliang Li · Bolin Ding · Ce Zhang · Jingren Zhou · Yun Fu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #716
Robust Disentanglement of a Few Factors at a Time using rPU-VAE
In Poster Session 3
Benjamin Estermann · Markus Marks · Mehmet Fatih Yanik
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #717
Self-Supervised Graph Transformer on Large-Scale Molecular Data
In Poster Session 3
Yu Rong · Yatao Bian · Tingyang Xu · Weiyang Xie · Ying Wei · Wenbing Huang · Junzhou Huang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #718
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search
In Poster Session 3
Tarun Gogineni · Ziping Xu · Exequiel Punzalan · Runxuan Jiang · Joshua Kammeraad · Ambuj Tewari · Paul Zimmerman
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #719
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
In Poster Session 3
Vijil Chenthamarakshan · Payel Das · Samuel Hoffman · Hendrik Strobelt · Inkit Padhi · Kar Wai Lim · Benjamin Hoover · Matteo Manica · Jannis Born · Teodoro Laino · Aleksandra Mojsilovic
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #720
TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation
In Poster Session 3
Chun-Hsing Lin · Siang-Ruei Wu · Hung-yi Lee · Yun-Nung Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #721
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables
In Poster Session 3
Wangchunshu Zhou · Jinyi Hu · Hanlin Zhang · Xiaodan Liang · Maosong Sun · Chenyan Xiong · Jian Tang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #722
Learning to summarize with human feedback
In Poster Session 3
Nisan Stiennon · Long Ouyang · Jeffrey Wu · Daniel Ziegler · Ryan Lowe · Chelsea Voss · Alec Radford · Dario Amodei · Paul Christiano
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #723
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
In Poster Session 3
Simon Stepputtis · Joseph Campbell · Mariano Phielipp · Stefan Lee · Chitta Baral · Heni Ben Amor
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #724
Guiding Deep Molecular Optimization with Genetic Exploration
In Poster Session 3
Sungsoo Ahn · Junsu Kim · Hankook Lee · Jinwoo Shin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #725
What is being transferred in transfer learning?
In Poster Session 3
Behnam Neyshabur · Hanie Sedghi · Chiyuan Zhang
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #726
What shapes feature representations? Exploring datasets, architectures, and training
In Poster Session 3
Katherine L. Hermann · Andrew Lampinen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #727
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
In Poster Session 3
Yonggan Fu · Haoran You · Yang Zhao · Yue Wang · Chaojian Li · Kailash Gopalakrishnan · Zhangyang Wang · Yingyan Lin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #728
Benchmarking Deep Learning Interpretability in Time Series Predictions
In Poster Session 3
Aya Abdelsalam Ismail · Mohamed Gunady · Hector Corrada Bravo · Soheil Feizi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #729
Stochastic Deep Gaussian Processes over Graphs
In Poster Session 3
Naiqi Li · Wenjie Li · Jifeng Sun · Yinghua Gao · Yong Jiang · Shu-Tao Xia
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #730
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks
In Poster Session 3
Mohammadreza Mousavi Kalan · Zalan Fabian · Salman Avestimehr · Mahdi Soltanolkotabi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #731
Rethinking Learnable Tree Filter for Generic Feature Transform
In Poster Session 3
Lin Song · Yanwei Li · Zhengkai Jiang · Zeming Li · Xiangyu Zhang · Hongbin Sun · Jian Sun · Nanning Zheng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #732
SOLOv2: Dynamic and Fast Instance Segmentation
In Poster Session 3
Xinlong Wang · Rufeng Zhang · Tao Kong · Lei Li · Chunhua Shen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #733
HOI Analysis: Integrating and Decomposing Human-Object Interaction
In Poster Session 3
Yong-Lu Li · Xinpeng Liu · Xiaoqian Wu · Yizhuo Li · Cewu Lu
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #734
RANet: Region Attention Network for Semantic Segmentation
In Poster Session 3
Dingguo Shen · Yuanfeng Ji · Ping Li · Yi Wang · Di Lin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #735
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
In Poster Session 3
Wen-Da Jin · Jun Xu · Ming-Ming Cheng · Yi Zhang · Wei Guo
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #736
Few-Cost Salient Object Detection with Adversarial-Paced Learning
In Poster Session 3
Dingwen Zhang · HaiBin Tian · Jungong Han
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #737
Detecting Hands and Recognizing Physical Contact in the Wild
In Poster Session 3
Supreeth Narasimhaswamy · Trung Nguyen · Minh Hoai Nguyen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #738
Targeted Adversarial Perturbations for Monocular Depth Prediction
In Poster Session 3
Alex Wong · Safa Cicek · Stefano Soatto
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #739
Self-Supervised Visual Representation Learning from Hierarchical Grouping
In Poster Session 3
Xiao Zhang · Michael Maire
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #740
Learning Affordance Landscapes for Interaction Exploration in 3D Environments
In Poster Session 3
Tushar Nagarajan · Kristen Grauman
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #741
Deep Variational Instance Segmentation
In Poster Session 3
Jialin Yuan · Chao Chen · Fuxin Li
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #742
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
In Poster Session 3
Yangxin Wu · Gengwei Zhang · Hang Xu · Xiaodan Liang · Liang Lin
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #743
Fine-Grained Dynamic Head for Object Detection
In Poster Session 3
Lin Song · Yanwei Li · Zhengkai Jiang · Zeming Li · Hongbin Sun · Jian Sun · Nanning Zheng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #744
Learning About Objects by Learning to Interact with Them
In Poster Session 3
Martin Lohmann · Jordi Salvador · Aniruddha Kembhavi · Roozbeh Mottaghi
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #745
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
In Poster Session 3
Ankit Goyal · Kaiyu Yang · Dawei Yang · Jia Deng
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #1146
Optimal visual search based on a model of target detectability in natural images
In Poster Session 3
Shima Rashidi · Krista Ehinger · Andrew Turpin · Lars Kulik
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #1163
Online Influence Maximization under Linear Threshold Model
In Poster Session 3
Shuai Li · Fang Kong · Kejie Tang · Qizhi Li · Wei Chen
[ Paper ]
Poster
Tue Dec 08 09:00 PM -- 11:00 PM (PST) @ Poster Session 2 #1190
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions
In Poster Session 3
Yi Hao · Alon Orlitsky
[ Paper ]