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A Theoretical Study of Inductive Biases in Contrastive Learning

A Theoretical Study of Inductive Biases in Contrastive Learning

27 November 2022
Jeff Z. HaoChen
Tengyu Ma
    UQCV
    SSL
ArXivPDFHTML

Papers citing "A Theoretical Study of Inductive Biases in Contrastive Learning"

6 / 6 papers shown
Title
Better Representations via Adversarial Training in Pre-Training: A
  Theoretical Perspective
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Yue Xing
Xiaofeng Lin
Qifan Song
Yi Tian Xu
Belinda Zeng
Guang Cheng
SSL
8
0
0
26 Jan 2024
Improving Self-Supervised Learning by Characterizing Idealized
  Representations
Improving Self-Supervised Learning by Characterizing Idealized Representations
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Percy Liang
SSL
61
40
0
13 Sep 2022
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
Yixuan Su
Fangyu Liu
Zaiqiao Meng
Tian Lan
Lei Shu
Ehsan Shareghi
Nigel Collier
120
57
0
07 Nov 2021
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
Zhiyuan Li
Tianhao Wang
Sanjeev Arora
MLT
83
98
0
13 Oct 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
132
278
0
12 Feb 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
235
3,029
0
09 Mar 2020
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