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The 2021 schedule is still incomplete
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Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Learnable Embedding sizes for Recommender Systems
In Poster Session 10
Siyi Liu · Chen Gao · Yihong Chen · Depeng Jin · Yong Li
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Certify or Predict: Boosting Certified Robustness with Compositional Architectures
In Poster Session 10
Mark Niklas Müller · Mislav Balunovic · Martin Vechev
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Adaptive and Generative Zero-Shot Learning
In Poster Session 10
Yu-Ying Chou · Hsuan-Tien Lin · Tyng-Luh Liu
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
In Poster Session 10
Namyeong Kwon · Hwidong Na · Gabriel Huang · Simon Lacoste-Julien
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions
In Poster Session 10
Zhengxian Lin · Kin-Ho Lam · Alan Fern
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Go with the flow: Adaptive control for Neural ODEs
In Poster Session 10
Mathieu Chalvidal · Matthew Ricci · Rufin VanRullen · Thomas Serre
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
In Poster Session 10
Dmitry Lepikhin · HyoukJoong Lee · Yuanzhong Xu · Dehao Chen · Orhan Firat · Yanping Huang · Maxim Krikun · Noam Shazeer · Zhifeng Chen
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
R-GAP: Recursive Gradient Attack on Privacy
In Poster Session 10
Junyi Zhu · Matthew Blaschko
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Grounding Language to Autonomously-Acquired Skills via Goal Generation
In Poster Session 10
Ahmed Akakzia · Cédric Colas · Pierre-Yves Oudeyer · Mohamed CHETOUANI · Olivier Sigaud
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues
In Poster Session 10
Hung Le · Nancy F Chen · Steven Hoi
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Deformable DETR: Deformable Transformers for End-to-End Object Detection
In Poster Session 10
Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Understanding the effects of data parallelism and sparsity on neural network training
In Poster Session 10
Namhoon Lee · Thalaiyasingam Ajanthan · Philip Torr · Martin Jaggi
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning
In Poster Session 10
Enrico Marchesini · Davide Corsi · Alessandro Farinelli
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Learning continuous-time PDEs from sparse data with graph neural networks
In Poster Session 10
Valerii Iakovlev · Markus Heinonen · Harri Lähdesmäki
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Learning Deep Features in Instrumental Variable Regression
In Poster Session 10
Liyuan Xu · Yutian Chen · Siddarth Srinivasan · Nando de Freitas · Arnaud Doucet · Arthur Gretton
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Network Pruning That Matters: A Case Study on Retraining Variants
In Poster Session 10
Duong Le · Binh-Son Hua
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory
In Poster Session 10
Jason Ramapuram · Yan Wu · Alexandros Kalousis
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Incremental few-shot learning via vector quantization in deep embedded space
In Poster Session 10
Kuilin Chen · Chi-Guhn Lee
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Latent Convergent Cross Mapping
In Poster Session 10
Edward De Brouwer · Adam Arany · Jaak Simm · Yves Moreau
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
An Unsupervised Deep Learning Approach for Real-World Image Denoising
In Poster Session 10
Dihan Zheng · Sia Huat Tan · Xiaowen Zhang · Zuoqiang Shi · Kaisheng Ma · Chenglong Bao
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Contrastive Divergence Learning is a Time Reversal Adversarial Game
In Poster Session 10
Omer Yair · Tomer Michaeli
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Counterfactual Generative Networks
In Poster Session 10
Axel Sauer · Andreas Geiger
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
IOT: Instance-wise Layer Reordering for Transformer Structures
In Poster Session 10
Jinhua Zhu · Lijun Wu · Yingce Xia · Shufang Xie · Tao Qin · Wengang Zhou · Houqiang Li · Tie-Yan Liu
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
The inductive bias of ReLU networks on orthogonally separable data
In Poster Session 10
Mary Phuong · Christoph H Lampert
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Private Image Reconstruction from System Side Channels Using Generative Models
In Poster Session 10
Yuanyuan Yuan · Shuai Wang · Junping Zhang
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
GAN "Steerability" without optimization
In Poster Session 10
Nurit Spingarn Eliezer · Ron Banner · Tomer Michaeli
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
In Poster Session 10
Byeongho Heo · Sanghyuk Chun · Seong Joon Oh · Dongyoon Han · Sangdoo Yun · Gyuwan Kim · Youngjung Uh · Jung-Woo Ha
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Colorization Transformer
In Poster Session 10
Manoj Kumar · Dirk Weissenborn · Nal Kalchbrenner
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
In Poster Session 10
Da Yu · Huishuai Zhang · Wei Chen · Tie-Yan Liu
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
In Poster Session 10
Peidong Liu · Gengwei Zhang · Bochao Wang · Hang Xu · Xiaodan Liang · Yong Jiang · Zhenguo Li
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Distilling Knowledge from Reader to Retriever for Question Answering
In Poster Session 10
Gautier Izacard · Edouard Grave
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Adaptive Extra-Gradient Methods for Min-Max Optimization and Games
In Poster Session 10
Kimon ANTONAKOPOULOS · E. Belmega · Panayotis Mertikopoulos
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations
In Poster Session 10
Rishabh Tiwari · Udbhav Bamba · Arnav Chavan · Deepak Gupta
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Conditional Generative Modeling via Learning the Latent Space
In Poster Session 10
Sameera Ramasinghe · Kanchana Ranasinghe · Salman Khan · Nick Barnes · Stephen Gould
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
In Poster Session 10
Seanie Lee · Dong Bok Lee · Sung Ju Hwang
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
In Poster Session 10
Jan Schuchardt · Aleksandar Bojchevski · Johannes Gasteiger · Stephan Günnemann
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Emergent Road Rules In Multi-Agent Driving Environments
In Poster Session 10
Avik Pal · Jonah Philion · Yuan-Hong Liao · Sanja Fidler
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
In Poster Session 10
Mike Gartrell · Insu Han · Elvis Dohmatob · Jennifer Gillenwater · Victor-Emmanuel Brunel
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Hopfield Networks is All You Need
In Poster Session 10
Hubert Ramsauer · Bernhard Schäfl · Johannes Lehner · Philipp Seidl · Michael Widrich · Lukas Gruber · Markus Holzleitner · Thomas Adler · David Kreil · Michael K Kopp · Günter Klambauer · Johannes Brandstetter · Sepp Hochreiter
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Representation Balancing Offline Model-based Reinforcement Learning
In Poster Session 10
Byung-Jun Lee · Jongmin Lee · Kee-Eung Kim
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
In Poster Session 10
Yanbang Wang · Yen-Yu Chang · Yunyu Liu · Jure Leskovec · Pan Li
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Efficient Inference of Flexible Interaction in Spiking-neuron Networks
In Poster Session 10
Feng Zhou · Yixuan Zhang · Jun Zhu
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
In Poster Session 10
Shikuang Deng · Shi Gu
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Autoregressive Entity Retrieval
In Poster Session 10
Nicola De Cao · Gautier Izacard · Sebastian Riedel · Fabio Petroni
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Adversarially Guided Actor-Critic
In Poster Session 10
Yannis Flet-Berliac · Johan Ferret · Olivier Pietquin · philippe preux · Matthieu Geist
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Balancing Constraints and Rewards with Meta-Gradient D4PG
In Poster Session 10
Dan A. Calian · Daniel J Mankowitz · Tom Zahavy · Zhongwen Xu · Junhyuk Oh · Nir Levine · Timothy A Mann
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Free Lunch for Few-shot Learning: Distribution Calibration
In Poster Session 10
Shuo Yang · Lu Liu · Min Xu
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Learning Neural Generative Dynamics for Molecular Conformation Generation
In Poster Session 10
Minkai Xu · Shitong Luo · Yoshua Bengio · Jian Peng · Jian Tang
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
In Poster Session 10
Zeke Xie · Issei Sato · Masashi Sugiyama
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
In Poster Session 10
Justin Bayer · Maximilian Soelch · Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
In Poster Session 10
Atsushi Nitanda · Taiji Suzuki
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Impact of Representation Learning in Linear Bandits
In Poster Session 10
Jiaqi Yang · Wei Hu · Jason Lee · Simon Du
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
In Poster Session 10
Ossama Ahmed · Frederik Träuble · Anirudh Goyal · Alexander Neitz · Manuel Wuthrich · Yoshua Bengio · Bernhard Schoelkopf · Stefan Bauer
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design
In Poster Session 10
Xiufeng Yang · Tanuj Aasawat · Kazuki Yoshizoe
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Sparse Quantized Spectral Clustering
In Poster Session 10
Zhenyu Liao · Romain Couillet · Michael W Mahoney
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Continual learning in recurrent neural networks
In Poster Session 10
Benjamin Ehret · Christian Henning · Maria Cervera · Alexander Meulemans · Johannes von Oswald · Benjamin F Grewe
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Neural Topic Model via Optimal Transport
In Poster Session 10
He Zhao · Dinh Phung · Viet Huynh · Trung Le · Wray Buntine
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
In Poster Session 10
Wonkwang Lee · Whie Jung · Han Zhang · Ting Chen · Jing Yu Koh · Thomas E Huang · Hyungsuk Yoon · Honglak Lee · Seunghoon Hong
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Interpretable Models for Granger Causality Using Self-explaining Neural Networks
In Poster Session 10
Ričards Marcinkevičs · Julia E Vogt
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
In Poster Session 10
Shangqing Liu · Yu Chen · Xiaofei Xie · Siow Jing Kai · Yang Liu
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Learning What To Do by Simulating the Past
In Poster Session 10
David Lindner · Rohin Shah · Pieter Abbeel · Anca Dragan
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
Efficient Generalized Spherical CNNs
In Poster Session 10
Oliver Cobb · Christopher Wallis · Augustine Mavor-Parker · Augustin Marignier · Matthew Price · Mayeul d'Avezac · Jason McEwen
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT)
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study
In Poster Session 10
Marcin Andrychowicz · Anton Raichuk · Piotr Stanczyk · Manu Orsini · Sertan Girgin · Raphaël Marinier · Léonard Hussenot-Desenonges · Matthieu Geist · Olivier Pietquin · Marcin Michalski · Sylvain Gelly · Olivier Bachem
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Influence Estimation for Generative Adversarial Networks
In Poster Session 10
Naoyuki Terashita · Hiroki Ohashi · Yuichi Nonaka · Takashi Kanemaru
[ Slides] 
[ Paper ]
Poster
Thu May 06 01:00 AM -- 03:00 AM (PDT) @ Virtual
Categorical Normalizing Flows via Continuous Transformations
In Poster Session 10
Phillip Lippe · Efstratios Gavves
[ Slides] 
[ Paper ]