Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis

1 April 2023

Papers citing "Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis"

7 / 7 papers shown

Title
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses Panagiotis Koromilas Giorgos Bouritsas Theodoros Giannakopoulos M. Nicolaou Yannis Panagakis 45 0 0 28 May 2024
Spectral Representation Learning for Conditional Moment Models Ziyu Wang Yucen Luo Yueru Li Jun Zhu Bernhard Schölkopf CML 44 7 0 29 Oct 2022
Joint Embedding Self-Supervised Learning in the Kernel Regime B. Kiani Randall Balestriero Yubei Chen S. Lloyd Yann LeCun SSL 54 13 0 29 Sep 2022
Understanding Deep Contrastive Learning via Coordinate-wise Optimization Yuandong Tian 52 34 0 29 Jan 2022
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 183 183 0 13 Oct 2021
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 140 188 0 02 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 191 457 0 29 Apr 2021