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Poster
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Wed 9:00
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Neural Networks for Learning Counterfactual G-Invariances from Single Environments
S Chandra Mouli · Bruno Ribeiro
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Poster
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Mon 9:00
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Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Denis Yarats · Ilya Kostrikov · Rob Fergus
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Poster
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Wed 1:00
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On Data-Augmentation and Consistency-Based Semi-Supervised Learning
Atin Ghosh · alexandre thiery
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Poster
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Tue 9:00
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On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel Smith · Benoit Dherin · David Barrett · Soham De
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Poster
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Thu 9:00
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Implicit Gradient Regularization
David Barrett · Benoit Dherin
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Poster
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Tue 17:00
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Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen · Mert Pilanci
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Poster
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Mon 1:00
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SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A F M Shahab Uddin · Mst. Sirazam Monira · Wheemyung Shin · TaeChoong Chung · Sung-Ho Bae
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Poster
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Wed 1:00
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Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
Khai Nguyen · Son Nguyen · Nhat Ho · Tung Pham · Hung Bui
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Poster
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Mon 17:00
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Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
Zhuang Liu · Xuanlin Li · Bingyi Kang · trevor darrell
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Poster
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Thu 9:00
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Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak · Neil Tenenholtz · Lester Mackey · Nicolo Fusi
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Poster
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Tue 17:00
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A unifying view on implicit bias in training linear neural networks
Chulhee Yun · Shankar Krishnan · Hossein Mobahi
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Poster
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Tue 9:00
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Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate
Jingfeng Wu · Difan Zou · vladimir braverman · Quanquan Gu
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