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2106.09943
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Investigating the Role of Negatives in Contrastive Representation Learning
18 June 2021
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Dipendra Kumar Misra
SSL
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Papers citing
"Investigating the Role of Negatives in Contrastive Representation Learning"
32 / 32 papers shown
Title
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
102
45
0
13 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
196
283
0
12 Feb 2021
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding
Hao Fu
Shaojun Zhou
Qihong Yang
Junjie Tang
Guiquan Liu
Kaikui Liu
Xiaolong Li
81
59
0
14 Dec 2020
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
65
167
0
23 Nov 2020
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,047
0
20 Nov 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Xinyue Huo
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Hao Li
Zijie Yang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
53
13
0
19 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
72
683
0
18 Nov 2020
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu
Yingce Xia
Lijun Wu
Jiajun Deng
Wen-gang Zhou
Tao Qin
Houqiang Li
SSL
OffRL
85
60
0
15 Oct 2020
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
296
705
0
10 Oct 2020
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
122
643
0
02 Oct 2020
Contrastive learning, multi-view redundancy, and linear models
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
SSL
63
166
0
24 Aug 2020
Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason D. Lee
Qi Lei
Nikunj Saunshi
Jiacheng Zhuo
SSL
65
188
0
03 Aug 2020
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
61
561
0
01 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
347
6,773
0
13 Jun 2020
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
John Giorgi
Osvald Nitski
Bo Wang
Gary D. Bader
SSL
88
495
0
05 Jun 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
146
1,826
0
20 May 2020
CERT: Contrastive Self-supervised Learning for Language Understanding
Hongchao Fang
Sicheng Wang
Meng Zhou
Jiayuan Ding
P. Xie
ELM
SSL
72
338
0
16 May 2020
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
141
4,532
0
23 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
81
1,084
0
08 Apr 2020
Contrastive estimation reveals topic posterior information to linear models
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
49
63
0
04 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
339
18,721
0
13 Feb 2020
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
67
284
0
27 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
179
12,065
0
13 Nov 2019
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments
Adam Foster
M. Jankowiak
M. O'Meara
Yee Whye Teh
Tom Rainforth
BDL
64
61
0
01 Nov 2019
On Mutual Information Maximization for Representation Learning
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
SSL
156
494
0
31 Jul 2019
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
189
1,472
0
03 Jun 2019
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
SSL
100
778
0
25 Feb 2019
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
57
211
0
02 Oct 2018
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
300
10,282
0
10 Jul 2018
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Evan Shelhamer
Parsa Mahmoudieh
Max Argus
Trevor Darrell
SSL
77
186
0
21 Dec 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
351
13,134
0
12 Mar 2015
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
642
31,469
0
16 Jan 2013
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