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The 2021 schedule is still incomplete
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification
Francisco Utrera · Evan Kravitz · N. Benjamin Erichson · Rajiv Khanna · Michael W Mahoney
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Deconstructing the Regularization of BatchNorm
Yann Dauphin · Ekin Cubuk
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning
Siyang Yuan · Pengyu Cheng · Ruiyi Zhang · Weituo Hao · Zhe Gan · Lawrence Carin
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Search Algorithms for Rank-Constrained Convex Optimization
Kyriakos Axiotis · Maxim Sviridenko
[ Slides
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
End-to-End Egospheric Spatial Memory
Daniel Lenton · Stephen James · Ronald Clark · Andrew Davison
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
BREEDS: Benchmarks for Subpopulation Shift
Shibani Santurkar · Dimitris Tsipras · Aleksander Madry
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Dataset Meta-Learning from Kernel Ridge-Regression
Timothy Nguyen · Zhourong Chen · Jaehoon Lee
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Position Embeddings in BERT
Wang Benyou · Lifeng Shang · Christina Lioma · Xin Jiang · Hao Yang · Qun Liu · Jakob Simonsen
[ Slides
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Model-Based Offline Planning
Arthur Argenson · Gabriel Dulac-Arnold
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei · Chung-Wei Lee · Mengxiao Zhang · Haipeng Luo
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Rafael Valle · Kevin J Shih · Ryan Prenger · Bryan Catanzaro
[ Slides
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Private Post-GAN Boosting
Marcel Neunhoeffer · Steven Wu · Cynthia Dwork
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau · Rémi Piché-Taillefer · Ioannis Mitliagkas · Remi Combes
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Implicit Gradient Regularization
David Barrett · Benoit Dherin
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Understanding and Improving Lexical Choice in Non-Autoregressive Translation
Liang Ding · Longyue Wang · Xuebo Liu · Derek Wong · Dacheng Tao · Zhaopeng Tu
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
Xuebo Liu · Longyue Wang · Derek Wong · Liang Ding · Lidia Chao · Zhaopeng Tu
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Robust early-learning: Hindering the memorization of noisy labels
Xiaobo Xia · Tongliang Liu · Bo Han · Chen Gong · Nannan Wang · Zongyuan Ge · Yi Chang
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
EigenGame: PCA as a Nash Equilibrium
Ian Gemp · Brian McWilliams · Claire Vernade · Thore Graepel
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling
Jiahui Yu · Wei Han · Anmol Gulati · Chung-Cheng Chiu · Bo Li · Tara Sainath · Yonghui Wu · Ruoming Pang
[ Slides
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Meta-Learning of Structured Task Distributions in Humans and Machines
Sreejan Kumar · Ishita Dasgupta · Jonathan Cohen · Nathaniel Daw · Thomas L Griffiths
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
Huanrui Yang · Lin Duan · Yiran Chen · Hai Li
[ Slides
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramer · Dan Boneh
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units
Jonathan Cornford · Damjan Kalajdzievski · Marco Leite · Amélie Lamarquette · Dimitri Kullmann · Blake A Richards
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
A teacher-student framework to distill future trajectories
Alexander Neitz · Giambattista Parascandolo · Bernhard Schoelkopf
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Correcting experience replay for multi-agent communication
Sanjeevan Ahilan · Peter Dayan
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Yatin Nandwani · Deepanshu Jindal · Mausam . · Parag Singla
[ Slides
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Uncertainty in Gradient Boosting via Ensembles
Andrey Malinin · Liudmila Prokhorenkova · Aleksei Ustimenko
[ Slides
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Kanil Patel · William H Beluch · Bin Yang · Michael Pfeiffer · Dan Zhang
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak · Neil Tenenholtz · Lester Mackey · Nicolo Fusi
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Domain-Robust Visual Imitation Learning with Mutual Information Constraints
Edoardo Cetin · Oya Celiktutan
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Enforcing robust control guarantees within neural network policies
Priya Donti · Melrose Roderick · Mahyar Fazlyab · Zico Kolter
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Jonathan Pilault · Amine EL hattami · Chris J Pal
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning
Mohak Bhardwaj · Sanjiban Choudhury · Byron Boots
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Kai Xiao · Logan Engstrom · Andrew Ilyas · Aleksander Madry
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang · Tete Xiao · Alexei Efros · Lerrel Pinto · Xiaolong Wang
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective
Helong Zhou · Liangchen Song · Jiajie Chen · Ye Zhou · Guoli Wang · Junsong Yuan · Qian Zhang
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Hierarchical Reinforcement Learning by Discovering Intrinsic Options
Jesse Zhang · Haonan Yu · Wei Xu
[ Slides
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Contrastive Learning with Hard Negative Samples
Joshua Robinson · Ching-Yao Chuang · Suvrit Sra · Stefanie Jegelka
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
Bogdan Georgiev · Lukas Franken · Mayukh Mukherjee
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
CaPC Learning: Confidential and Private Collaborative Learning
Christopher Choquette-Choo · Natalie Dullerud · Adam Dziedzic · Yunxiang Zhang · Somesh Jha · Nicolas Papernot · Xiao Wang
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Dataset Condensation with Gradient Matching
Bo ZHAO · Konda Reddy Mopuri · Hakan Bilen
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
PMI-Masking: Principled masking of correlated spans
Yoav Levine · Barak Lenz · Opher Lieber · Omri Abend · Kevin Leyton-Brown · Moshe Tennenholtz · Yoav Shoham
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
End-to-end Adversarial Text-to-Speech
Jeff Donahue · Sander Dieleman · Mikolaj Binkowski · Erich Elsen · Karen Simonyan
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Lifelong Learning of Compositional Structures
Jorge Mendez · ERIC EATON
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto · Ruslan Salakhutdinov
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
A Critique of Self-Expressive Deep Subspace Clustering
Benjamin Haeffele · Chong You · Rene Vidal
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Learning to Recombine and Resample Data For Compositional Generalization
Ekin Akyürek · Afra Feyza Akyürek · Jacob Andreas
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Shuhei Kurita · Kyunghyun Cho
[ Slides
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Coarsening with Neural Networks
Chen Cai · Dingkang Wang · Yusu Wang
[ Slides
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Rishabh Agarwal · Marlos C. Machado · Pablo Samuel Castro · Marc G Bellemare
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
EEC: Learning to Encode and Regenerate Images for Continual Learning
Ali Ayub · Alan Wagner
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Improving VAEs' Robustness to Adversarial Attack
Matthew Willetts · Alexander Camuto · Tom Rainforth · S Roberts · Christopher Holmes
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
Rabeeh Karimi Mahabadi · Yonatan Belinkov · James Henderson
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dynamic Tensor Rematerialization
Marisa Kirisame · Steven S. Lyubomirsky · Altan Haan · Jennifer Brennan · Mike He · Jared G Roesch · Tianqi Chen · Zachary Tatlock
[ Slides
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Meta-learning with negative learning rates
Alberto Bernacchia
[ Slides
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake Snell · Richard Zemel
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
Nikunj Umesh Saunshi · Sadhika Malladi · Sanjeev Arora
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie · Mao Ye · Qiang Liu · Dan Nicolae
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Learning to Set Waypoints for Audio-Visual Navigation
Changan Chen · Sagnik Majumder · Ziad Al-Halah · Ruohan Gao · Santhosh Kumar Ramakrishnan · Kristen Grauman
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Deep Networks and the Multiple Manifold Problem
Sam Buchanan · Dar Gilboa · John Wright
[ Slides
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective
Muhammet Balcilar · Guillaume Renton · Pierre Héroux · Benoit Gaüzère · Sébastien Adam · Paul Honeine
[ Slides
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Integrating Categorical Semantics into Unsupervised Domain Translation
Samuel Lavoie · Faruk Ahmed · Aaron Courville
[ Slides
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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
C-Learning: Learning to Achieve Goals via Recursive Classification
Benjamin Eysenbach · Ruslan Salakhutdinov · Sergey Levine
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Neural Spatio-Temporal Point Processes
Tian Qi Chen · Brandon Amos · Maximilian Nickel
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Directed Acyclic Graph Neural Networks
Veronika Thost · Jie Chen
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Zirui Wang · Yulia Tsvetkov · Orhan Firat · Yuan Cao
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Cut out the annotator, keep the cutout: better segmentation with weak supervision
Sarah Hooper · Michael Wornow · Ying Seah · Peter Kellman · Hui Xue · Frederic Sala · Curtis Langlotz · Christopher Re
[ Paper ]