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Poster
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Tue 7:00 |
On Variational Learning of Controllable Representations for Text without Supervision Peng Xu, Jackie Chi Kit Cheung, Yanshuai Cao |
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Poster
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Tue 7:00 |
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan |
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Poster
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Tue 7:00 |
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms Chaosheng Dong, Bo Zeng |
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Poster
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Tue 7:00 |
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin, Yi-Fu Wu, Skand Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn |
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Poster
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Tue 7:00 |
LTF: A Label Transformation Framework for Correcting Label Shift Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao |
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Poster
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Tue 7:00 |
A Simple Framework for Contrastive Learning of Visual Representations Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton |
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Poster
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Tue 7:00 |
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani, Amir Hosein Khasahmadi |
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Poster
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Tue 7:00 |
Generative Flows with Matrix Exponential Changyi Xiao, Ligang Liu |
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Poster
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Tue 7:00 |
Faster Graph Embeddings via Coarsening Matthew Fahrbach, Gramoz Goranci, Richard Peng, Sushant Sachdeva, Chi Wang |
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Poster
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Tue 7:00 |
Amortized Population Gibbs Samplers with Neural Sufficient Statistics Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent |
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Poster
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Tue 7:00 |
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John Gregoire, Carla Gomes |
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Poster
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Tue 8:00 |
DROCC: Deep Robust One-Class Classification Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain |
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Poster
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Tue 8:00 |
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM Kunal Menda, Jean de Becdelievre, Jayesh Gupta, Ilan Kroo, Mykel Kochenderfer, Zachary Manchester |
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Poster
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Tue 9:00 |
Learning Algebraic Multigrid Using Graph Neural Networks Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh |
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Poster
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Tue 9:00 |
Recovery of Sparse Signals from a Mixture of Linear Samples Soumyabrata Pal, Arya Mazumdar |
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Poster
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Tue 9:00 |
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization Sicheng Zhu, Xiao Zhang, David Evans |
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Poster
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Tue 10:00 |
Generative Pretraining From Pixels Mark Chen, Alec Radford, Rewon Child, Jeffrey K Wu, Heewoo Jun, David Luan, Ilya Sutskever |
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Poster
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Tue 10:00 |
Automatic Shortcut Removal for Self-Supervised Representation Learning Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen |
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Poster
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Tue 10:00 |
Topological Autoencoders Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt |
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Poster
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Tue 11:00 |
Quantum Expectation-Maximization for Gaussian mixture models Alessandro Luongo, Iordanis Kerenidis, Anupam Prakash |
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Poster
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Tue 11:00 |
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giro-i-Nieto, Jordi Torres |
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Poster
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Tue 13:00 |
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities Jonas Köhler, Leon Klein, Frank Noe |
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Poster
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Tue 13:00 |
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers, Emiel Hoogeboom |
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Poster
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Tue 13:00 |
Generalization to New Actions in Reinforcement Learning Ayush Jain, Andrew Szot, Joseph Lim |
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Poster
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Tue 14:00 |
Simple and sharp analysis of k-means|| Vaclav Rozhon |
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Poster
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Tue 15:00 |
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon |
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Poster
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Wed 8:00 |
Planning to Explore via Self-Supervised World Models Ramanan Sekar, Oleg Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak |
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Poster
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Wed 9:00 |
Hallucinative Topological Memory for Zero-Shot Visual Planning Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar |
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Poster
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Wed 10:00 |
Small-GAN: Speeding up GAN Training using Core-Sets Samrath Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena |
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Poster
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Wed 12:00 |
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows Rob Cornish, Anthony Caterini, George Deligiannidis, Arnaud Doucet |
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Poster
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Wed 12:00 |
k-means++: few more steps yield constant approximation Davin Choo, Christoph Grunau, Julian Portmann, Vaclav Rozhon |
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Poster
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Wed 12:00 |
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors Yehuda Dar, Paul Mayer, Lorenzo Luzi, Richard Baraniuk |
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Poster
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Wed 16:00 |
Spread Divergence Mingtian Zhang, Peter Hayes, Thomas Bird, Raza Habib, David Barber |
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Poster
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Thu 6:00 |
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization Chris Finlay, Jörn Jacobsen, Levon Nurbekyan, Adam Oberman |
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Poster
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Thu 6:00 |
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar, Abhinav Gupta |
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Poster
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Thu 6:00 |
Tails of Lipschitz Triangular Flows Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus Brubaker |
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Poster
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Thu 6:00 |
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang, Phillip Isola |
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Poster
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Thu 6:00 |
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models Rares-Darius Buhai, Yoni Halpern, Yoon Kim, Andrej Risteski, David Sontag |
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Poster
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Thu 7:00 |
ACFlow: Flow Models for Arbitrary Conditional Likelihoods Yang Li, Shoaib Akbar, Junier Oliva |
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Poster
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Thu 7:00 |
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information Karl Stratos, Sam Wiseman |
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Poster
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Thu 7:00 |
On hyperparameter tuning in general clustering problemsm Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang |
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Poster
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Thu 9:00 |
Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya Ryali, John Hopfield, Leopold Grinberg, Dmitry Krotov |
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Poster
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Thu 9:00 |
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space Andrey Voynov, Artem Babenko |
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Poster
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Thu 12:00 |
Supervised Quantile Normalization for Low Rank Matrix Factorization Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, JP Vert |
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Poster
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Thu 12:00 |
Missing Data Imputation using Optimal Transport Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi |
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Poster
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Thu 13:00 |
On Efficient Low Distortion Ultrametric Embedding Vincent Cohen-Addad, Karthik C. S., Guillaume Lagarde |
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Poster
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Thu 13:00 |
Amortised Learning by Wake-Sleep Kevin Wenliang, Theodore Moskovitz, Heishiro Kanagawa, Maneesh Sahani |
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Poster
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Thu 18:00 |
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang |
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Workshop
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Thu 23:45 |
XXAI: Extending Explainable AI Beyond Deep Models and Classifiers Wojciech Samek, Andreas HOLZINGER, Ruth Fong, Taesup Moon, Klaus-robert Mueller |
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Workshop
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Fri 0:15 |
Invited Talk: Representation learning on sequential data with latent priors Jan Chorowski |
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Workshop
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Fri 4:00 |
Invited Talk: Denoising and real-vs-corrupted classification as two fundamental paradigms in self-supervised learning Aapo Hyvarinen |
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Workshop
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Fri 7:05 |
COVID-19 Applications: Gaining insight into SARS-CoV-2 infection and COVID-19 severity using self-supervised edge features and Graph Neural Networks Arijit Sehanobish |
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Workshop
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Fri 14:15 |
[Session 2] P#18 Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning |
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Workshop
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Fri 14:40 |
Energy-Based Models for Object-Oriented Learning Igor Mordatch |
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Workshop
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Sat 7:35 |
An Unsupervised Learning Approach to Mitigate the Risk of Polio Recurrence in India Tushar Goswamy |
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Workshop
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Sat 8:20 |
Posters |
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Workshop
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Sat 10:20 |
Keynote Session 3: Federated Learning Applications in Alexa, by Shiv Vitaladevuni (Amazon Alexa) Shiv Vitaladevuni |
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Workshop
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(#15 / Sess. 2) Learning Distributed Representations of Graphs with Geo2DR Paul Scherer |