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The 2021 schedule is still incomplete
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Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks
In Poster Session 03
Alexander Levine · Soheil Feizi
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Tilted Empirical Risk Minimization
In Poster Session 03
Tian Li · Ahmad Beirami · Maziar Sanjabi · Virginia Smith
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces
In Poster Session 03
Jack Prescott · Xiao Zhang · David Evans
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
VA-RED$^2$: Video Adaptive Redundancy Reduction
In Poster Session 03
Bowen Pan · Rameswar Panda · Camilo L Fosco · Chung-Ching Lin · Alex J Andonian · Yue Meng · Kate Saenko · Aude Oliva · Rogerio Feris
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Decentralized Attribution of Generative Models
In Poster Session 03
Changhoon Kim · Yi Ren · 'YZ' Yezhou Yang
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
SAFENet: A Secure, Accurate and Fast Neural Network Inference
In Poster Session 03
Qian Lou · Yilin Shen · Hongxia Jin · Lei Jiang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
In Poster Session 03
Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing
In Poster Session 03
Tao Yu · Rui Zhang · Alex Polozov · Christopher Meek · Ahmed H Awadallah
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
In Poster Session 03
Jing An · Lexing Ying · Yuhua Zhu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
In Poster Session 03
Yingxue Zhou · Steven Wu · Arindam Banerjee
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
In Poster Session 03
Akinori Ebihara · Taiki Miyagawa · Kazuyuki Sakurai · Hitoshi Imaoka
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Learning Energy-Based Models by Diffusion Recovery Likelihood
In Poster Session 03
Ruiqi Gao · Yang Song · Ben Poole · Yingnian Wu · Durk Kingma
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
The Intrinsic Dimension of Images and Its Impact on Learning
In Poster Session 03
Phil Pope · Chen Zhu · Ahmed Abdelkader · Micah Goldblum · Tom Goldstein
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
WaveGrad: Estimating Gradients for Waveform Generation
In Poster Session 03
Nanxin Chen · Yu Zhang · Heiga Zen · Ron Weiss · Mohammad Norouzi · William Chan
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Random Feature Attention
In Poster Session 03
Hao Peng · Nikolaos Pappas · Dani Yogatama · Roy Schwartz · Noah Smith · Lingpeng Kong
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Score-Based Generative Modeling through Stochastic Differential Equations
In Poster Session 03
Yang Song · Jascha Sohl-Dickstein · Durk Kingma · Abhishek Kumar · Stefano Ermon · Ben Poole
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Variational Intrinsic Control Revisited
In Poster Session 03
Taehwan Kwon
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Contextual Transformation Networks for Online Continual Learning
In Poster Session 03
Quang Pham · Chenghao Liu · Doyen Sahoo · Steven HOI
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Undistillable: Making A Nasty Teacher That CANNOT teach students
In Poster Session 03
Haoyu Ma · Tianlong Chen · Ting-Kuei Hu · Chenyu You · Xiaohui Xie · Zhangyang Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Explaining the Efficacy of Counterfactually Augmented Data
In Poster Session 03
Divyansh Kaushik · Amrith Setlur · Eduard H Hovy · Zachary Lipton
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Layer-adaptive Sparsity for the Magnitude-based Pruning
In Poster Session 03
Jaeho Lee · Sejun Park · Sangwoo Mo · Sungsoo Ahn · Jinwoo Shin
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
When does preconditioning help or hurt generalization?
In Poster Session 03
Shun-ichi Amari · Jimmy Ba · Roger Grosse · Xuechen Li · Atsushi Nitanda · Taiji Suzuki · Denny Wu · Ji Xu
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Selective Classification Can Magnify Disparities Across Groups
In Poster Session 03
Erik Jones · Shiori Sagawa · Pang Wei Koh · Ananya Kumar · Percy Liang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Zero-shot Synthesis with Group-Supervised Learning
In Poster Session 03
Yunhao Ge · Sami Abu-El-Haija · Gan Xin · Laurent Itti
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
In Poster Session 03
Yuliang Zou · Zizhao Zhang · Han Zhang · Chun-Liang Li · Xiao Bian · Jia-Bin Huang · Tomas Pfister
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
In Poster Session 03
Tianlong Chen · Zhenyu Zhang · Sijia Liu · Shiyu Chang · Zhangyang Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Latent Skill Planning for Exploration and Transfer
In Poster Session 03
Kevin Xie · Homanga Bharadhwaj · Danijar Hafner · Animesh Garg · Florian Shkurti
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Robust Curriculum Learning: from clean label detection to noisy label self-correction
In Poster Session 03
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Rethinking Positional Encoding in Language Pre-training
In Poster Session 03
Guolin Ke · Di He · Tie-Yan Liu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
In Poster Session 03
Zhiao Huang · Yuanming Hu · Tao Du · Siyuan Zhou · Hao Su · Joshua B Tenenbaum · Chuang Gan
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
In Poster Session 03
Sayna Ebrahimi · Suzanne Petryk · Akash Gokul · William Gan · Joseph E Gonzalez · Marcus Rohrbach · trevor darrell
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
MALI: A memory efficient and reverse accurate integrator for Neural ODEs
In Poster Session 03
Juntang Zhuang · Nicha C Dvornek · sekhar tatikonda · James s Duncan
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
In Poster Session 03
Zhuang Liu · Xuanlin Li · Bingyi Kang · trevor darrell
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
In Poster Session 03
Ren Wang · Kaidi Xu · Sijia Liu · Pin-Yu Chen · Tsui-Wei Weng · Chuang Gan · Meng Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
On the geometry of generalization and memorization in deep neural networks
In Poster Session 03
Cory Stephenson · Suchismita Padhy · Abhinav Ganesh · Yue Hui · Hanlin Tang · SueYeon Chung
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
MoPro: Webly Supervised Learning with Momentum Prototypes
In Poster Session 03
Junnan Li · Caiming Xiong · Steven Hoi
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
In Poster Session 03
Avi Singh · Huihan Liu · Gaoyue Zhou · Albert Yu · Nicholas Rhinehart · Sergey Levine
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Meta-Learning with Neural Tangent Kernels
In Poster Session 03
Yufan Zhou · Zhenyi Wang · Jiayi Xian · Changyou Chen · Jinhui Xu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
What are the Statistical Limits of Offline RL with Linear Function Approximation?
In Poster Session 03
Ruosong Wang · Dean Foster · Sham M Kakade
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
In Poster Session 03
Junwen Bai · Weiran Wang · Yingbo Zhou · Caiming Xiong
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers
In Poster Session 03
Siyi Hu · Fengda Zhu · Xiaojun Chang · Xiaodan Liang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
In Poster Session 03
Rewon Child
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Rethinking Architecture Selection in Differentiable NAS
In Poster Session 03
Ruochen Wang · Minhao Cheng · Xiangning Chen · Xiaocheng Tang · Cho-Jui Hsieh
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
In Poster Session 03
Rui Wang · Robin Walters · Rose Yu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
In Poster Session 03
Mikhail Yurochkin · Yuekai Sun
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods
In Poster Session 03
Wei Tao · sheng long · Gaowei Wu · Qing Tao
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
In Poster Session 03
Yige Li · Xixiang Lyu · Nodens Koren · Lingjuan Lyu · Bo Li · Xingjun Ma
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
When Optimizing $f$-Divergence is Robust with Label Noise
In Poster Session 03
Jiaheng Wei · Yang Liu
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Federated Learning Based on Dynamic Regularization
In Poster Session 03
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
DeLighT: Deep and Light-weight Transformer
In Poster Session 03
Sachin Mehta · Marjan Ghazvininejad · Srini Iyer · Luke Zettlemoyer · Hannaneh Hajishirzi
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
In Poster Session 03
Taiji Suzuki · Akiyama Shunta
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
In Poster Session 03
Ziyi Chen · Yi Zhou · Tengyu Xu · Yingbin Liang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
In Poster Session 03
Huan Zhang · Hongge Chen · Duane S Boning · Cho-Jui Hsieh
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
In Poster Session 03
Preetum Nakkiran · Behnam Neyshabur · Hanie Sedghi
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Deberta: Decoding-Enhanced Bert With Disentangled Attention
In Poster Session 03
Pengcheng He · Xiaodong Liu · Jianfeng Gao · Weizhu Chen
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
MixKD: Towards Efficient Distillation of Large-scale Language Models
In Poster Session 03
Kevin Liang · Weituo Hao · Dinghan Shen · Yufan Zhou · Weizhu Chen · Changyou Chen · Lawrence Carin
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Learning a Latent Simplex in Input Sparsity Time
In Poster Session 03
Ainesh Bakshi · Chiranjib Bhattacharyya · Ravi Kannan · David Woodruff · Samson Zhou
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Learning A Minimax Optimizer: A Pilot Study
In Poster Session 03
Jiayi Shen · Xiaohan Chen · Howard Heaton · Tianlong Chen · Jialin Liu · Wotao Yin · Zhangyang Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Optimal Regularization can Mitigate Double Descent
In Poster Session 03
Preetum Nakkiran · Prayaag Venkat · Sham M Kakade · Tengyu Ma
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Taking Notes on the Fly Helps Language Pre-Training
In Poster Session 03
Qiyu Wu · Chen Xing · Yatao Li · Guolin Ke · Di He · Tie-Yan Liu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
In Poster Session 03
Shauharda Khadka · Estelle Aflalo · Mattias Marder · Avrech Ben-David · Santiago Miret · Shie Mannor · Tamir Hazan · Hanlin Tang · Somdeb Majumdar
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Self-training For Few-shot Transfer Across Extreme Task Differences
In Poster Session 03
Cheng Perng Phoo · Bharath Hariharan
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
In Poster Session 03
Karan Goel · Albert Gu · Yixuan Li · Christopher Re
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Partitioned Learned Bloom Filters
In Poster Session 03
Kapil Vaidya · Eric Knorr · Michael Mitzenmacher · Tim Kraska
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Robust and Generalizable Visual Representation Learning via Random Convolutions
In Poster Session 03
Zhenlin Xu · Deyi Liu · Junlin Yang · Colin Raffel · Marc Niethammer
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks
In Poster Session 03
Atish Agarwala · Abhimanyu Das · Brendan Juba · Rina Panigrahy · Vatsal Sharan · Xin Wang · Qiuyi Zhang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Spatio-Temporal Graph Scattering Transform
In Poster Session 03
Chao Pan · Siheng Chen · Antonio Ortega
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
In Poster Session 03
Peizhao Li · Yifei Wang · Han Zhao · Pengyu Hong · Hongfu Liu
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
Regularized Inverse Reinforcement Learning
In Poster Session 03
Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Semi-supervised Keypoint Localization
In Poster Session 03
Olga Moskvyak · Frederic Maire · Feras Dayoub · Mahsa Baktashmotlagh
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Unlearnable Examples: Making Personal Data Unexploitable
In Poster Session 03
Hanxun Huang · Xingjun Ma · Sarah Erfani · James Bailey · Yisen Wang
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
In Poster Session 03
Justin Fu · Sergey Levine
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT) @ Virtual
SOLAR: Sparse Orthogonal Learned and Random Embeddings
In Poster Session 03
Tharun Kumar Reddy Medini · Beidi Chen · Anshumali Shrivastava
[ Slides] 
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Personalized Federated Learning with First Order Model Optimization
In Poster Session 03
Michael Zhang · Karan Sapra · Sanja Fidler · Serena Yeung · Jose M. Alvarez
[ Paper ]
Poster
Mon May 03 05:00 PM -- 07:00 PM (PDT)
Online Adversarial Purification based on Self-supervised Learning
In Poster Session 03
Changhao Shi · Chester Holtz · Gal Mishne
[ Paper ]