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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
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
Tue 1:00 Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent
El Mahdi El Mhamdi · Rachid Guerraoui · S├ębastien Rouault
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
Tue 17:00 Usable Information and Evolution of Optimal Representations During Training
Michael Kleinman · Alessandro Achille · Daksh Idnani · Jonathan Kao
Poster
Tue 9:00 On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel Smith · Benoit Dherin · David Barrett · Soham De
Poster
Mon 9:00 Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia · Anirban Das · Stacy Patterson
Poster
Mon 17:00 Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
Yingxue Zhou · Steven Wu · Arindam Banerjee
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
Workshop
Fri 10:42 Privacy Amplification via Iteration for Shuffled and Online PNSGD
Matteo Sordello · Zhiqi Bu · Jinshuo Dong · Weijie J Su
Workshop
Privacy Amplification via Iteration for Shuffled and Online PNSGD
Matteo Sordello · Zhiqi Bu · Jinshuo Dong · Weijie J Su
Workshop
DEEP GRADIENT ATTACK WITH STRONG DP-SGD LOWER BOUND FOR LABEL PRIVACY
Sen Yuan