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https://github.com/facebookresearch/luckmatters

Understanding Training Dynamics of Deep ReLU Networks
https://github.com/facebookresearch/luckmatters

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Understanding Training Dynamics of Deep ReLU Networks

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README

        

This repo contains the code of the following 6 papers:

## Analysis of Self-supervised learning (`./ssl`)
**Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning**

Yuandong Tian

[arXiv](https://arxiv.org/abs/2206.01342)

**Understanding Deep Contrastive Learning via Coordinate-wise Optimization**

Yuandong Tian

[NeurIPS'22](https://arxiv.org/abs/2201.12680) Oral

**Understanding self-supervised Learning Dynamics without Contrastive Pairs**

Yuandong Tian, Xinlei Chen, Surya Ganguli

ICML 2021 [link](https://arxiv.org/abs/2102.06810), *Outstanding Paper Honorable Mention*

**Understanding Self-supervised Learning with Dual Deep Networks**

Yuandong Tian, Lantao Yu, Xinlei Chen, Surya Ganguli

arXiv [link](https://arxiv.org/abs/2010.00578)

## Teacher-student setting in supervised learning
**Student Specialization in Deep ReLU Networks With Finite Width and Input Dimension** (`./student_specialization`)

Yuandong Tian

ICML 2020 [link](https://arxiv.org/abs/1909.13458)

**Luck Matters: Luck Matters: Understanding Training Dynamics of Deep ReLU Networks** (`./luckmatter`)

Yuandong Tian, Tina Jiang, Qucheng Gong, Ari Morcos

arxiv [link](https://arxiv.org/abs/1905.13405)