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WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery

Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
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Awesome papers from Peter Bartlett's group #1

Closed Chen-yu-Zheng closed 12 months ago

Chen-yu-Zheng commented 1 year ago

I think many insightful papers from Peter Bartlett's group can be added, and some of them are listed as follows.

  1. Benign Overfitting in Linear Regression, PNAS, 2020
  2. Benign overfitting without linearity: Neural network classifiers trained by gradient descent for noisy linear data, COLT, 2022
  3. Implicit bias in leaky ReLU networks trained on high-dimensional data, ICLR, 2023
  4. Random Feature Amplification: Feature Learning and Generalization in Neural Networks, JMLR, 2023
  5. The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks, NIPS, 2023
  6. Benign overfitting in linear classifiers and leaky relu networks from kkt conditions for margin maximization, COLT, 2023
WeiHuang05 commented 12 months ago

Thanks for your suggestion, I have included some of them in the reading list.