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Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
CPT: Efficient Deep Neural Network Training via Cyclic Precision
Yonggan Fu · Han Guo · Meng Li · Xin Yang · Yining Ding · Vikas Chandra · Yingyan Lin
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
Shaocong Ma · Ziyi Chen · Yi Zhou · Shaofeng Zou
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Generative Scene Graph Networks
Fei Deng · Zhuo Zhi · Donghun Lee · Sungjin Ahn
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
Kangkang Lu · Cuong Nguyen · Xun Xu · Kiran Chari · Yu Jing Goh · Chuan-Sheng Foo
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
Sungmin Cha · Taeeon Park · Byeongjoon Kim · Jongduk Baek · Taesup Moon
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei · Huiyu Wang · Wei Shen · Alan Yuille
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie · Chence Shi · Hao Zhou · Yuwei Yang · Weinan Zhang · Yong Yu · Lei Li
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
Zhong Li · Jiequn Han · Weinan E · Qianxiao Li
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Fast Geometric Projections for Local Robustness Certification
Aymeric Fromherz · Klas Leino · Matt Fredrikson · Bryan Parno · Corina Pasareanu
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Adapting to Reward Progressivity via Spectral Reinforcement Learning
Michael Dann · John Thangarajah
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Learning to Make Decisions via Submodular Regularization
Ayya Alieva · Aiden Aceves · Jialin Song · Stephen Mayo · Yisong Yue · Yuxin Chen
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Combining Ensembles and Data Augmentation Can Harm Your Calibration
Yeming Wen · Ghassen Jerfel · Rafael Müller · Michael W Dusenberry · Jasper Snoek · Balaji Lakshminarayanan · Dustin Tran
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Combining Label Propagation and Simple Models out-performs Graph Neural Networks
Qian Huang · Horace He · Abhay Singh · Ser-Nam Lim · Austin Benson
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve · Kevin Duarte · Yogesh S Rawat · Mubarak Shah
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Mitchell Hill · Jonathan Mitchell · Song-Chun Zhu
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li · Zhongzhi Yu · Yonggan Fu · Yongan Zhang · Yang Zhao · Haoran You · Qixuan Yu · Yue Wang · Cong Hao · Yingyan Lin
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Multi-timescale Representation Learning in LSTM Language Models
Shivangi Mahto · Vy Vo · Javier Turek · Alexander Huth
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao · Jie Ding · VAHID TAROKH
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Youngmin Oh · Kimin Lee · Jinwoo Shin · Eunho Yang · Sung Ju Hwang
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Nonseparable Symplectic Neural Networks
Shiying Xiong · Yunjin Tong · Xingzhe He · Shuqi Yang · Cheng Yang · Bo Zhu
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Prototypical Representation Learning for Relation Extraction
Ning Ding · Xiaobin Wang · Yao Fu · Guangwei Xu · Rui Wang · Pengjun Xie · Ying Shen · Fei Huang · Hai-Tao Zheng · Rui Zhang
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Molecule Optimization by Explainable Evolution
Binghong Chen · Tianzhe Wang · Chengtao Li · Hanjun Dai · Le Song
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Extreme Memorization via Scale of Initialization
Harsh Mehta · Ashok Cutkosky · Behnam Neyshabur
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
Valeriia Cherepanova · Micah Goldblum · Harrison Foley · Shiyuan Duan · John P Dickerson · Gavin Taylor · Tom Goldstein
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Neural representation and generation for RNA secondary structures
Zichao Yan · William Hamilton · Mathieu Blanchette
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Isotropy in the Contextual Embedding Space: Clusters and Manifolds
Xingyu Cai · Jiaji Huang · Yuchen Bian · Kenneth Church
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer · Bhavya Kailkhura
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
CT-Net: Channel Tensorization Network for Video Classification
Kunchang Li · xianhang li · Yali Wang · Jun Wang · Yu Qiao
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
Hengrui Cai · Rui Song · Wenbin Lu
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang · Long Lian · Zhongqi Miao · Ziwei Liu · Stella Yu
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Group Equivariant Generative Adversarial Networks
Neel Dey · Antong Chen · Soheil Ghafurian
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
Hao Li · Chenxin Tao · Xizhou Zhu · Xiaogang Wang · Gao Huang · Jifeng Dai
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Calibration of Neural Networks using Splines
Kartik Gupta · Amir Rahimi · Thalaiyasingam Ajanthan · Thomas Mensink · Cristian Sminchisescu · Richard Hartley
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Minimum Width for Universal Approximation
Sejun Park · Chulhee Yun · Jaeho Lee · Jinwoo Shin
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
Anirudh Goyal · Alex Lamb · Phanideep Gampa · Philippe Beaudoin · Charles Blundell · Sergey Levine · Yoshua Bengio · Michael Mozer
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
Yihao Feng · Ziyang Tang · Na Zhang · Qiang Liu
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li · Meirui Jiang · Xiaofei Zhang · Michael Kamp · Qi Dou
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
A Design Space Study for LISTA and Beyond
Tianjian Meng · Xiaohan Chen · Yifan Jiang · Zhangyang Wang
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Wenhan Xiong · Xiang Li · Srini Iyer · Jingfei Du · Patrick Lewis · William Yang Wang · Yashar Mehdad · Scott Yih · Sebastian Riedel · Douwe Kiela · Barlas Oguz
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Self-supervised Representation Learning with Relative Predictive Coding
Yao-Hung Hubert Tsai · Martin Ma · Muqiao Yang · Han Zhao · Louis-Philippe Morency · Ruslan Salakhutdinov
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao · Jonathan Cui · Yilun Sheng · Yue Dong · Xiao Liang · Eric Chang · Yan Xu
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
Minjia Zhang · Menghao Li · Chi Wang · Mingqin Li
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
When Do Curricula Work?
Xiaoxia (Shirley) Wu · Ethan Dyer · Behnam Neyshabur
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Neural Thompson Sampling
Weitong ZHANG · Dongruo Zhou · Lihong Li · Quanquan Gu
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Kaidi Cao · Yining Chen · Junwei Lu · Nikos Arechiga · Adrien Gaidon · Tengyu Ma
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling
Yang Zhao · Jianwen Xie · Ping Li
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Convex Regularization behind Neural Reconstruction
Arda Sahiner · Morteza Mardani · Batu Ozturkler · Mert Pilanci · John M Pauly
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
Zixiang Chen · Yuan Cao · Difan Zou · Quanquan Gu
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Evaluation of Similarity-based Explanations
Kazuaki Hanawa · Sho Yokoi · Satoshi Hara · Kentaro Inui
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Self-supervised Learning from a Multi-view Perspective
Yao-Hung Hubert Tsai · Yue Wu · Ruslan Salakhutdinov · Louis-Philippe Morency
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Will Grathwohl · Jacob Kelly · Milad Hashemi · Mohammad Norouzi · Kevin Swersky · David Duvenaud
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh · Steven L Waslander
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Learning perturbation sets for robust machine learning
Eric Wong · Zico Kolter
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Few-Shot Learning via Learning the Representation, Provably
Simon Du · Wei Hu · Sham M Kakade · Jason Lee · Qi Lei
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
BiPointNet: Binary Neural Network for Point Clouds
Haotong Qin · Zhongang Cai · Mingyuan Zhang · Yifu Ding · Haiyu Zhao · Shuai Yi · Xianglong Liu · Hao Su
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Contrastive Syn-to-Real Generalization
Wuyang Chen · Zhiding Yu · Shalini De Mello · Sifei Liu · Jose M. Alvarez · Zhangyang Wang · Anima Anandkumar
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
Kaidi Xu · Huan Zhang · Shiqi Wang · Yihan Wang · Suman Jana · Xue Lin · Cho-Jui Hsieh
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Randomized Automatic Differentiation
Deniz Oktay · Nick McGreivy · Joshua Aduol · Alex Beatson · Ryan P Adams
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
Yaling Tao · Kentaro Takagi · Kouta Nakata
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Generalization bounds via distillation
Daniel Hsu · Ziwei Ji · Matus Telgarsky · Lan Wang
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
A Learning Theoretic Perspective on Local Explainability
Jeffrey Li · Vaishnavh Nagarajan · Gregory Plumb · Ameet Talwalkar
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Yu Sun · Jiaming Liu · Yiran Sun · Brendt Wohlberg · Ulugbek Kamilov
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization
Juntae Lee · Mihir Jain · Hyoungwoo Park · Sungrack Yun
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
$i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Kibok Lee · Yian Zhu · Kihyuk Sohn · Chun-Liang Li · Jinwoo Shin · Honglak Lee
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
The Recurrent Neural Tangent Kernel
Sina Alemohammad · Jack Wang · Randall Balestriero · Richard Baraniuk
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Representing Partial Programs with Blended Abstract Semantics
Maxwell Nye · Yewen Pu · Matthew Bowers · Jacob Andreas · Joshua B Tenenbaum · Armando Solar-Lezama
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
Yi Ren · Chenxu Hu · Xu Tan · Tao Qin · Sheng Zhao · Zhou Zhao · Tie-Yan Liu
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Global Convergence of Three-layer Neural Networks in the Mean Field Regime
Huy Tuan Pham · Phan-Minh Nguyen
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT) @ Virtual
Linear Convergent Decentralized Optimization with Compression
Xiaorui Liu · Yao Li · Rongrong Wang · Jiliang Tang · Ming Yan
[ Slides
[ Paper ]
Poster
Thu May 06 05:00 PM -- 07:00 PM (PDT)
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
Mangal Prakash · Alexander Krull · Florian Jug
[ Paper ]