Skip to yearly menu bar Skip to main content


(64 events)   Timezone:  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Fidelity-based Deep Adiabatic Scheduling
In Poster Session 07
Eli Ovits · Lior Wolf
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Simple Spectral Graph Convolution
In Poster Session 07
Hao Zhu · Piotr Koniusz
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Acting in Delayed Environments with Non-Stationary Markov Policies
In Poster Session 07
Esther Derman · Gal Dalal · Shie Mannor
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
In Poster Session 07
Binxin Ru · Xingchen Wan · Xiaowen Dong · Michael Osborne
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Fooling a Complete Neural Network Verifier
In Poster Session 07
Dániel Zombori · Balázs Bánhelyi · Tibor Csendes · István Megyeri · Márk Jelasity
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
In Poster Session 07
Lanqing Li · Rui Yang · Dijun Luo
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
In Poster Session 07
Yu Cheng · Honghao Lin
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Byzantine-Resilient Non-Convex Stochastic Gradient Descent
In Poster Session 07
Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
In Poster Session 07
Sanghyun Hong · Yigitcan Kaya · Ionut-Vlad Modoranu · Tudor Dumitras
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning
In Poster Session 07
Ruozi Huang · Huang Hu · Wei Wu · Kei Sawada · Mi Zhang · Daxin Jiang
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Long Range Arena : A Benchmark for Efficient Transformers
In Poster Session 07
Yi Tay · Mostafa Dehghani · Samira Abnar · Yikang Shen · Dara Bahri · Philip Pham · Jinfeng Rao · Liu Yang · Sebastian Ruder · Donald Metzler
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Learning from Demonstration with Weakly Supervised Disentanglement
In Poster Session 07
Yordan Hristov · Subramanian Ramamoorthy
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
In Poster Session 07
Atin Ghosh · alexandre thiery
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Return-Based Contrastive Representation Learning for Reinforcement Learning
In Poster Session 07
Guoqing Liu · Chuheng Zhang · Li Zhao · Tao Qin · Jinhua Zhu · Li Jian · Nenghai Yu · Tie-Yan Liu
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
In Poster Session 07
Yuge Shi · Brooks Paige · Philip Torr · Siddharth N
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Gradient Origin Networks
In Poster Session 07
Sam Bond-Taylor · Chris G Willcocks
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
In Poster Session 07
Mingyang Yi · LU HOU · Lifeng Shang · Xin Jiang · Qun Liu · Zhi-Ming Ma
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
In Poster Session 07
Yuan Yin · Vincent Le Guen · Jérémie DONA · Emmanuel d Bezenac · Ibrahim Ayed · Nicolas THOME · patrick gallinari
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Graph Edit Networks
In Poster Session 07
Benjamin Paassen · Daniele Grattarola · Daniele Zambon · Cesare Alippi · Barbara E Hammer
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Neural Delay Differential Equations
In Poster Session 07
Qunxi Zhu · Yao Guo · Wei Lin
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning
In Poster Session 07
Samuel Horváth · Peter Richtarik
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
In Poster Session 07
Tatsuya Matsushima · Hiroki Furuta · Yutaka Matsuo · Ofir Nachum · Shixiang Gu
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Deep Learning meets Projective Clustering
In Poster Session 07
Alaa Maalouf · Harry Lang · Daniela Rus · Dan Feldman
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Efficient Continual Learning with Modular Networks and Task-Driven Priors
In Poster Session 07
Tom Veniat · Ludovic Denoyer · Marc'Aurelio Ranzato
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Self-supervised Adversarial Robustness for the Low-label, High-data Regime
In Poster Session 07
Sven Gowal · Po-Sen Huang · Aaron v den · Timothy A Mann · Pushmeet Kohli
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Grounded Language Learning Fast and Slow
In Poster Session 07
Felix Hill · Olivier Tieleman · Tamara von Glehn · Nathaniel Wong · Hamza Merzic · Stephen Clark
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
In Poster Session 07
Alexey Dosovitskiy · Lucas Beyer · Alexander Kolesnikov · Dirk Weissenborn · Xiaohua Zhai · Thomas Unterthiner · Mostafa Dehghani · Matthias Minderer · Georg Heigold · Sylvain Gelly · Jakob Uszkoreit · Neil Houlsby
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Differentiable Segmentation of Sequences
In Poster Session 07
Erik Scharwächter · Jonathan Lennartz · Emmanuel Müller
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
In Poster Session 07
Shyam Tailor · Javier Fernandez-Marques · Nicholas Lane
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Learning Associative Inference Using Fast Weight Memory
In Poster Session 07
Imanol Schlag · Tsendsuren Munkhdalai · Jürgen Schmidhuber
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
In Poster Session 07
Khai Nguyen · Son Nguyen · Nhat Ho · Tung Pham · Hung Bui
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
High-Capacity Expert Binary Networks
In Poster Session 07
Adrian Bulat · Brais Martinez · Georgios Tzimiropoulos
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Neural ODE Processes
In Poster Session 07
Alexander Norcliffe · Cristian Bodnar · Ben Day · Jacob Moss · Pietro Liò
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Active Contrastive Learning of Audio-Visual Video Representations
In Poster Session 07
Shuang Ma · Zhaoyang Zeng · Daniel McDuff · Yale Song
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
In Poster Session 07
Nils Lukas · Yuxuan Zhang · Florian Kerschbaum
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Separation and Concentration in Deep Networks
In Poster Session 07
John Zarka · Florentin Guth · Stéphane Mallat
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Locally Free Weight Sharing for Network Width Search
In Poster Session 07
Xiu Su · Shan You · Tao Huang · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Improving Adversarial Robustness via Channel-wise Activation Suppressing
In Poster Session 07
Yang Bai · Yuyuan Zeng · Yong Jiang · Shu-Tao Xia · Xingjun Ma · Yisen Wang
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning
In Poster Session 07
Alihan Hüyük · Daniel Jarrett · Cem Tekin · Mihaela van der Schaar
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
In Poster Session 07
Manli Zhang · Jianhong Zhang · Zhiwu Lu · Tao Xiang · Mingyu Ding · Songfang Huang
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Geometry-aware Instance-reweighted Adversarial Training
In Poster Session 07
Jingfeng Zhang · Jianing ZHU · Gang Niu · Bo Han · Masashi Sugiyama · Mohan Kankanhalli
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Bag of Tricks for Adversarial Training
In Poster Session 07
Tianyu Pang · Xiao Yang · Yinpeng Dong · Hang Su · Jun Zhu
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Neural gradients are near-lognormal: improved quantized and sparse training
In Poster Session 07
Brian Chmiel · Liad Ben-Uri · Moran Shkolnik · Elad Hoffer · Ron Banner · Daniel Soudry
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Isometric Propagation Network for Generalized Zero-shot Learning
In Poster Session 07
Lu Liu · Tianyi Zhou · Guodong Long · Jing Jiang · Xuanyi Dong · Chengqi Zhang
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
In Poster Session 07
Saehyung Lee · Changhwa Park · Hyungyu Lee · Jihun Yi · Jonghyun Lee · Sungroh Yoon
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
In Poster Session 07
Yuhang Li · Ruihao Gong · Xu Tan · Yang Yang · Peng Hu · Qi Zhang · fengwei yu · Wei Wang · Shi Gu
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Expressive Power of Invariant and Equivariant Graph Neural Networks
In Poster Session 07
Waïss Azizian · marc lelarge
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT) @ Virtual
Negative Data Augmentation
In Poster Session 07
Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon
[ Slides] 
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
In Poster Session 07
Leon Lang · Maurice Weiler
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Net-DNF: Effective Deep Modeling of Tabular Data
In Poster Session 07
Liran Katzir · Gal Elidan · Ran El-Yaniv
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Knowledge distillation via softmax regression representation learning
In Poster Session 07
Jing Yang · Brais Martinez · Adrian Bulat · Georgios Tzimiropoulos
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Explainable Deep One-Class Classification
In Poster Session 07
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Neural networks with late-phase weights
In Poster Session 07
Johannes von Oswald · Seijin Kobayashi · Joao Sacramento · Alexander Meulemans · Christian Henning · Benjamin F Grewe
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
New Bounds For Distributed Mean Estimation and Variance Reduction
In Poster Session 07
Peter Davies · Vijaykrishna Gurunathan · Niusha Moshrefi · Saleh Ashkboos · Dan Alistarh
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
In Poster Session 07
Shyamgopal Karthik · Ameya Prabhu · Puneet Dokania · Vineet Gandhi
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
CoCon: A Self-Supervised Approach for Controlled Text Generation
In Poster Session 07
Alvin Chan · Yew-Soon Ong · Bill Pung · Aston Zhang · Jie Fu
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech
In Poster Session 07
Yoonhyung Lee · Joongbo Shin · Kyomin Jung
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Communication in Multi-Agent Reinforcement Learning: Intention Sharing
In Poster Session 07
WOOJUN KIM · Jongeui Park · Youngchul Sung
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Disentangled Recurrent Wasserstein Autoencoder
In Poster Session 07
Jun Han · Martin Min · Ligong Han · Erran Li · Xuan Zhang
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Learning Task Decomposition with Ordered Memory Policy Network
In Poster Session 07
Yuchen Lu · Yikang Shen · Siyuan Zhou · Aaron Courville · Joshua B Tenenbaum · Chuang Gan
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
In Poster Session 07
Zhenggang Tang · Chao Yu · Boyuan Chen · Huazhe Xu · Xiaolong Wang · Fei Fang · Simon Du · Yu Wang · Yi Wu
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Identifying Physical Law of Hamiltonian Systems via Meta-Learning
In Poster Session 07
Seungjun Lee · Haesang Yang · Woojae Seong
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
In Poster Session 07
Alexandre Rame · MATTHIEU CORD
[ Paper ]
Poster
Wed May 05 01:00 AM -- 03:00 AM (PDT)
Auxiliary Task Update Decomposition: The Good, the Bad and the Neutral
In Poster Session 07
Lucio Dery · Yann Dauphin · David Grangier
[ Paper ]