https://github.com/bfshi/InfoDrop

Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)
https://github.com/bfshi/InfoDrop

Last synced: about 2 months ago
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Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)

• Host: GitHub
• URL: https://github.com/bfshi/InfoDrop
• Owner: bfshi
• Created: 2020-06-14T12:13:56.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T01:08:03.000Z (almost 2 years ago)
• Last Synced: 2024-04-20T18:00:34.325Z (5 months ago)
• Language: Python
• Homepage:
• Size: 1010 KB
• Stars: 125
• Watchers: 10
• Forks: 5
• Open Issues: 24
• Metadata Files:
  • Readme: README.md

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README

        
# InfoDrop

Code for our paper ["Informative Dropout for Robust Representation Learning: A Shape-bias Perspective"](https://arxiv.org/abs/2008.04254) by [Baifeng Shi*](https://bfshi.github.io), [Dinghuai Zhang*](https://zdhnarsil.github.io/), [Qi Dai](https://scholar.google.com/citations?hl=en&user=NSJY12IAAAAJ), [Zhanxing Zhu](https://sites.google.com/view/zhanxingzhu/), [Yadong Mu](http://www.muyadong.com/index.html),

[Jingdong Wang](https://jingdongwang2017.github.io/), **ICML2020**.

This repo contains codes for 

+ Domain Generalization

+ Few-shot Classification