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Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
On the Sample Complexity of Adversarial Multi-Source PAC Learning
Nikola Konstantinov · Elias Frantar · Dan Alistarh · Christoph Lampert
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
Implicit Geometric Regularization for Learning Shapes
Amos Gropp · Lior Yariv · Niv Haim · Matan Atzmon · Yaron Lipman
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization
Vien Mai · Mikael Johansson
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
William Wilkinson · Paul Chang · Michael Andersen · Arno Solin
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
Csaba Toth · Harald Oberhauser
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
Quantum Boosting
Srinivasan Arunachalam · Reevu Maity
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
Growing Adaptive Multi-hyperplane Machines
Nemanja Djuric · Zhuang Wang · Slobodan Vucetic
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
Generalisation error in learning with random features and the hidden manifold model
Federica Gerace · Bruno Loureiro · Florent Krzakala · Marc Mezard · Lenka Zdeborova
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
Ramin Hasani · Mathias Lechner · Alexander Amini · Daniela Rus · Radu Grosu
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
Scalable and Efficient Comparison-based Search without Features
Daniyar Chumbalov · Lucas Maystre · Matthias Grossglauser
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasiia Koloskova · Nicolas Loizou · Sadra Boreiri · Martin Jaggi · Sebastian Stich
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank · Thorsten Eisenhofer · Lea Schönherr · Asja Fischer · Dorothea Kolossa · Thorsten Holz
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
Interference and Generalization in Temporal Difference Learning
Emmanuel Bengio · Joelle Pineau · Doina Precup
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
Fast Adaptation to New Environments via Policy-Dynamics Value Functions
Roberta Raileanu · Max Goldstein · Arthur Szlam · Facebook Rob Fergus
Poster
Thu Jul 16 05:00 AM -- 05:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
Continuous Time Bayesian Networks with Clocks
Nicolai Engelmann · Dominik Linzner · Heinz Koeppl
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
Ioana Bica · Ahmed Alaa · Mihaela van der Schaar
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
Agent57: Outperforming the Atari Human Benchmark
Adrià Puigdomenech Badia · Bilal Piot · Steven Kapturowski · Pablo Sprechmann · Oleksandr Vitvitskyi · Zhaohan Guo · Charles Blundell
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
MetaFun: Meta-Learning with Iterative Functional Updates
Jin Xu · Jean-Francois Ton · Hyunjik Kim · Adam Kosiorek · Yee-Whye Teh
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
Vlad Niculae · Andre Filipe Torres Martins
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon · Do-Yeon Kim · Jun Seo · Jaekyun Moon
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST) @ Virtual
Haar Graph Pooling
Yuguang Wang · Ming Li · Zheng Ma · Guido Montufar · Xiaosheng Zhuang · Yanan Fan
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (KST)
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
Chengcheng Wan · Henry (Hank) Hoffmann · Shan Lu · Michael Maire