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Unraveling Projection Heads in Contrastive Learning: Insights from
  Expansion and Shrinkage

Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage

6 June 2023
Yu Gui
Cong Ma
Yiqiao Zhong
ArXivPDFHTML

Papers citing "Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage"

10 / 10 papers shown
Title
Projection Head is Secretly an Information Bottleneck
Zhuo Ouyang
Kaiwen Hu
Qi Zhang
Yifei Wang
Yisen Wang
37
0
0
01 Mar 2025
Improving Nonlinear Projection Heads using Pretrained Autoencoder
  Embeddings
Improving Nonlinear Projection Heads using Pretrained Autoencoder Embeddings
Andreas Schliebitz
Heiko Tapken
Martin Atzmueller
27
0
0
25 Aug 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
45
0
0
25 Jul 2024
Investigating the Benefits of Projection Head for Representation
  Learning
Investigating the Benefits of Projection Head for Representation Learning
Yihao Xue
Eric Gan
Jiayi Ni
Siddharth Joshi
Baharan Mirzasoleiman
26
10
0
18 Mar 2024
Learning Single-Index Models with Shallow Neural Networks
Learning Single-Index Models with Shallow Neural Networks
A. Bietti
Joan Bruna
Clayton Sanford
M. Song
155
65
0
27 Oct 2022
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Yuandong Tian
46
34
0
29 Jan 2022
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
107
163
0
02 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
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
183
450
0
29 Apr 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
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
347
0
14 Jun 2018
1