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Intriguing Properties of Contrastive Losses

Intriguing Properties of Contrastive Losses

5 November 2020
Ting Chen
Calvin Luo
Lala Li
ArXivPDFHTML

Papers citing "Intriguing Properties of Contrastive Losses"

12 / 112 papers shown
Title
Self-Supervised Learning with Kernel Dependence Maximization
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li
Roman Pogodin
Danica J. Sutherland
A. Gretton
SSL
11
77
0
15 Jun 2021
Understand and Improve Contrastive Learning Methods for Visual
  Representation: A Review
Understand and Improve Contrastive Learning Methods for Visual Representation: A Review
Ran Liu
SSL
13
12
0
06 Jun 2021
Backdoor Attacks on Self-Supervised Learning
Backdoor Attacks on Self-Supervised Learning
Aniruddha Saha
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
AAML
22
100
0
21 May 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge J. Belongie
SSL
21
123
0
12 May 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu
Tianyu Ding
Jinxin Zhou
Xiao Li
Chong You
Jeremias Sulam
Qing Qu
16
195
0
06 May 2021
Hyperspherically Regularized Networks for Self-Supervision
Hyperspherically Regularized Networks for Self-Supervision
A. Durrant
Georgios Leontidis
SSL
70
7
0
29 Apr 2021
Multimodal Clustering Networks for Self-supervised Learning from
  Unlabeled Videos
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
Brian Chen
Andrew Rouditchenko
Kevin Duarte
Hilde Kuehne
Samuel Thomas
...
Rogerio Feris
David F. Harwath
James R. Glass
M. Picheny
Shih-Fu Chang
SSL
30
89
0
26 Apr 2021
Elsa: Energy-based learning for semi-supervised anomaly detection
Elsa: Energy-based learning for semi-supervised anomaly detection
Sungwon Han
Hyeonho Song
Seungeon Lee
Sungwon Park
M. Cha
22
12
0
29 Mar 2021
Unsupervised domain adaptation via coarse-to-fine feature alignment
  method using contrastive learning
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning
Shiyu Tang
Peijun Tang
Yanxiang Gong
Zheng Ma
M. Xie
19
6
0
23 Mar 2021
Addressing Feature Suppression in Unsupervised Visual Representations
Addressing Feature Suppression in Unsupervised Visual Representations
Tianhong Li
Lijie Fan
Yuan. Yuan
Hao He
Yonglong Tian
Rogerio Feris
Piotr Indyk
Dina Katabi
SSL
27
15
0
17 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
8
122
0
12 Dec 2020
A survey on Semi-, Self- and Unsupervised Learning for Image
  Classification
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSL
VLM
15
161
0
20 Feb 2020
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