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Search All 2021 Events
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Workshop
DEEP GRADIENT ATTACK WITH STRONG DP-SGD LOWER BOUND FOR LABEL PRIVACY
Sen Yuan
Poster
Tue 9:00
Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate
Jingfeng Wu · Difan Zou · vladimir braverman · Quanquan Gu
Poster
Mon 9:00
Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia · Anirban Das · Stacy Patterson
Poster
Tue 9:00
On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel Smith · Benoit Dherin · David Barrett · Soham De
Poster
Tue 17:00
Usable Information and Evolution of Optimal Representations During Training
Michael Kleinman · Alessandro Achille · Daksh Idnani · Jonathan Kao
Poster
Tue 1:00
Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent
El Mahdi El Mhamdi · Rachid Guerraoui · Sébastien Rouault
Poster
Thu 1:00
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Zeke Xie · Issei Sato · Masashi Sugiyama
Poster
Mon 17:00
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
Yingxue Zhou · Steven Wu · Arindam Banerjee
Poster
Mon 1:00
Noise against noise: stochastic label noise helps combat inherent label noise
Pengfei Chen · Guangyong Chen · Junjie Ye · jingwei zhao · Pheng-Ann Heng
Spotlight
Tue 4:48
Noise against noise: stochastic label noise helps combat inherent label noise
Pengfei Chen · Guangyong Chen · Junjie Ye · jingwei zhao · Pheng-Ann Heng
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