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Improved Baselines with Momentum Contrastive Learning

Improved Baselines with Momentum Contrastive Learning

9 March 2020
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
    SSL
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Papers citing "Improved Baselines with Momentum Contrastive Learning"

38 / 2,088 papers shown
Title
Multi-label Contrastive Predictive Coding
Multi-label Contrastive Predictive Coding
Jiaming Song
Stefano Ermon
SSL
VLM
6
50
0
20 Jul 2020
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
Ali Varamesh
Tinne Tuytelaars
VLM
20
4
0
18 Jul 2020
Hybrid Discriminative-Generative Training via Contrastive Learning
Hybrid Discriminative-Generative Training via Contrastive Learning
Hao Liu
Pieter Abbeel
SSL
15
40
0
17 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally
  Shifted Instances
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack
Sangwoo Mo
Jongheon Jeong
Jinwoo Shin
OODD
11
588
0
16 Jul 2020
Whitening for Self-Supervised Representation Learning
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov
Aliaksandr Siarohin
E. Sangineto
N. Sebe
SSL
14
307
0
13 Jul 2020
Contrastive Code Representation Learning
Contrastive Code Representation Learning
Paras Jain
Ajay Jain
Tianjun Zhang
Pieter Abbeel
Joseph E. Gonzalez
Ion Stoica
SSL
DRL
34
149
0
09 Jul 2020
Auxiliary Tasks Speed Up Learning PointGoal Navigation
Auxiliary Tasks Speed Up Learning PointGoal Navigation
Joel Ye
Dhruv Batra
Erik Wijmans
Abhishek Das
3DPC
EgoV
10
79
0
09 Jul 2020
Self-supervised Neural Architecture Search
Self-supervised Neural Architecture Search
Sapir Kaplan
Raja Giryes
SSL
17
12
0
03 Jul 2020
Approximate Nearest Neighbor Negative Contrastive Learning for Dense
  Text Retrieval
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong
Chenyan Xiong
Ye Li
Kwok-Fung Tang
Jialin Liu
Paul N. Bennett
Junaid Ahmed
Arnold Overwijk
11
1,177
0
01 Jul 2020
Debiased Contrastive Learning
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
8
552
0
01 Jul 2020
Video Representation Learning with Visual Tempo Consistency
Video Representation Learning with Visual Tempo Consistency
Ceyuan Yang
Yinghao Xu
Bo Dai
Bolei Zhou
8
89
0
28 Jun 2020
On Equivariant and Invariant Learning of Object Landmark Representations
On Equivariant and Invariant Learning of Object Landmark Representations
Zezhou Cheng
Jong-Chyi Su
Subhransu Maji
SSL
8
7
0
26 Jun 2020
Parametric Instance Classification for Unsupervised Visual Feature
  Learning
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue Cao
Zhenda Xie
B. Liu
Yutong Lin
Zheng-Wei Zhang
Han Hu
VLM
18
60
0
25 Jun 2020
Unsupervised Image Classification for Deep Representation Learning
Unsupervised Image Classification for Deep Representation Learning
Weijie Chen
Shiliang Pu
Di Xie
Shicai Yang
Yilu Guo
Luojun Lin
SSL
VLM
15
14
0
20 Jun 2020
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining
  Paradigms
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms
Xingyi Yang
Xuehai He
Yuxiao Liang
Yue Yang
Shanghang Zhang
P. Xie
SSL
18
43
0
19 Jun 2020
Contrastive learning of global and local features for medical image
  segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
11
547
0
18 Jun 2020
LSD-C: Linearly Separable Deep Clusters
LSD-C: Linearly Separable Deep Clusters
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Kai Han
Andrea Vedaldi
Andrew Zisserman
14
24
0
17 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
18
3,988
0
17 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest
  CT Images
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images
Xiaocong Chen
Lina Yao
Tao Zhou
Jinming Dong
Yu Zhang
25
169
0
16 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
31
1,586
0
15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
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
46
6,643
0
13 Jun 2020
Are we done with ImageNet?
Are we done with ImageNet?
Lucas Beyer
Olivier J. Hénaff
Alexander Kolesnikov
Xiaohua Zhai
Aaron van den Oord
VLM
8
395
0
12 Jun 2020
What makes instance discrimination good for transfer learning?
What makes instance discrimination good for transfer learning?
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
11
167
0
11 Jun 2020
Rethinking the Truly Unsupervised Image-to-Image Translation
Rethinking the Truly Unsupervised Image-to-Image Translation
Kyungjune Baek
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Hyunjung Shim
VLM
LRM
16
102
0
11 Jun 2020
Semi-Supervised Contrastive Learning with Generalized Contrastive Loss
  and Its Application to Speaker Recognition
Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition
Nakamasa Inoue
Keita Goto
SSL
15
54
0
08 Jun 2020
On Mutual Information in Contrastive Learning for Visual Representations
On Mutual Information in Contrastive Learning for Visual Representations
Mike Wu
Chengxu Zhuang
Milan Mossé
Daniel L. K. Yamins
Noah D. Goodman
SSL
15
82
0
27 May 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
M. Proesmans
Luc Van Gool
VLM
SSL
22
523
0
25 May 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
11
1,302
0
20 May 2020
Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
8
1,776
0
20 May 2020
Weakly Supervised Representation Learning with Coarse Labels
Weakly Supervised Representation Learning with Coarse Labels
Yuanhong Xu
Qi Qian
Hao Li
R. L. Jin
Juhua Hu
SSL
20
8
0
19 May 2020
CERT: Contrastive Self-supervised Learning for Language Understanding
CERT: Contrastive Self-supervised Learning for Language Understanding
Hongchao Fang
Sicheng Wang
Meng Zhou
Jiayuan Ding
P. Xie
ELM
SSL
19
337
0
16 May 2020
Distilling Localization for Self-Supervised Representation Learning
Distilling Localization for Self-Supervised Representation Learning
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
19
56
0
14 Apr 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
250
656
0
23 Mar 2020
Watching the World Go By: Representation Learning from Unlabeled Videos
Watching the World Go By: Representation Learning from Unlabeled Videos
Daniel Gordon
Kiana Ehsani
D. Fox
Ali Farhadi
SSL
AI4TS
16
87
0
18 Mar 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation
  Learning
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Zhiqiang Shen
Zechun Liu
Zhuang Liu
Marios Savvides
Trevor Darrell
Eric P. Xing
OCL
SSL
10
103
0
11 Mar 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
17
161
0
20 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
21
11,840
0
13 Nov 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised
  Classification with the 1-Laplacian Graph Energy
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy
Angelica I. Aviles-Rivero
Nicolas Papadakis
Ruoteng Li
P. Sellars
Samar M. Alsaleh
R. Tan
Carola-Bibiane Schönlieb
16
3
0
20 Jun 2019
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