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Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST) @ Virtual
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
In Poster Session 35
Yu Sun · Xiaolong Wang · Zhuang Liu · John Miller · Alexei Efros · Moritz Hardt
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Evolutionary Topology Search for Tensor Network Decomposition
In Poster Session 35
Chao Li · Zhun Sun
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
In Poster Session 35
Mert Pilanci · Tolga Ergen
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Stochastic bandits with arm-dependent delays
In Poster Session 35
Anne Gael Manegueu · Claire Vernade · Alexandra Carpentier · Michal Valko
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Fast computation of Nash Equilibria in Imperfect Information Games
In Poster Session 35
Remi Munos · Julien Perolat · Jean-Baptiste Lespiau · Mark Rowland · Bart De Vylder · Marc Lanctot · Finbarr Timbers · Daniel Hennes · Shayegan Omidshafiei · Audrunas Gruslys · Mohammad Gheshlaghi Azar · Edward Lockhart · Karl Tuyls
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
AdaScale SGD: A User-Friendly Algorithm for Distributed Training
In Poster Session 35
Tyler Johnson · Pulkit Agrawal · Haijie Gu · Carlos Guestrin
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
In Poster Session 35
Angelos Filos · Panagiotis Tigas · Rowan McAllister · Nicholas Rhinehart · Sergey Levine · Yarin Gal
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST) @ Virtual
Self-supervised Label Augmentation via Input Transformations
In Poster Session 35
Hankook Lee · Sung Ju Hwang · Jinwoo Shin
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
In Poster Session 35
Karthik Abinav Sankararaman · Soham De · Zheng Xu · W. Ronny Huang · Tom Goldstein
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST) @ Virtual
Hypernetwork approach to generating point clouds
In Poster Session 35
Przemysław Spurek · Sebastian Winczowski · Jacek Tabor · Maciej Zamorski · Maciej Zieba · Tomasz Trzcinski
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
In Poster Session 35
Changhee Lee · Mihaela van der Schaar
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST) @ Virtual
Time-Consistent Self-Supervision for Semi-Supervised Learning
In Poster Session 35
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST) @ Virtual
Option Discovery in the Absence of Rewards with Manifold Analysis
In Poster Session 35
Amitay Bar · Ronen Talmon · Ron Meir
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
DeBayes: a Bayesian Method for Debiasing Network Embeddings
In Poster Session 35
Maarten Buyl · Tijl De Bie
Poster
Thu Jul 16 03:00 AM -- 03:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Feature Selection using Stochastic Gates
In Poster Session 35
Yutaro Yamada · Ofir Lindenbaum · Sahand Negahban · Yuval Kluger
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST) @ Virtual
Adversarial Nonnegative Matrix Factorization
In Poster Session 35
lei luo · yanfu Zhang · Heng Huang
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Curvature-corrected learning dynamics in deep neural networks
In Poster Session 35
Dongsung Huh
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
In Poster Session 35
Zahra Monfared · Daniel Durstewitz
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
In Poster Session 35
Subho Banerjee · Saurabh Jha · Zbigniew Kalbarczyk · Ravishankar Iyer
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
In Poster Session 35
Marc Abeille · Alessandro Lazaric
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
In Poster Session 35
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Learning to Encode Position for Transformer with Continuous Dynamical Model
In Poster Session 35
Xuanqing Liu · Hsiang-Fu Yu · Inderjit Dhillon · Cho-Jui Hsieh
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
In Poster Session 35
Ilai Bistritz · Tavor Z Baharav · Amir Leshem · Nicholas Bambos
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST) @ Virtual
Too Relaxed to Be Fair
In Poster Session 35
Michael Lohaus · Michaël Perrot · Ulrike von Luxburg
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST) @ Virtual
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
In Poster Session 35
Zhize Li · Dmitry Kovalev · Xun Qian · Peter Richtarik
Poster
Thu Jul 16 04:00 AM -- 04:45 AM & Thu Jul 16 03:00 PM -- 03:45 PM (KST)
Towards a General Theory of Infinite-Width Limits of Neural Classifiers
In Poster Session 35
Eugene Golikov