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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"

50 / 2,088 papers shown
Title
Improving Transformation Invariance in Contrastive Representation
  Learning
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster
Rattana Pukdee
Tom Rainforth
51
22
0
19 Oct 2020
Federated Unsupervised Representation Learning
Federated Unsupervised Representation Learning
Fengda Zhang
Kun Kuang
Zhaoyang You
T. Shen
Jun Xiao
Yin Zhang
Chao-Xiang Wu
Yueting Zhuang
Xiaolin Li
FedML
20
133
0
18 Oct 2020
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation
  Learning
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Kibok Lee
Yian Zhu
Kihyuk Sohn
Chun-Liang Li
Jinwoo Shin
Honglak Lee
SSL
17
26
0
17 Oct 2020
What Can You Learn from Your Muscles? Learning Visual Representation
  from Human Interactions
What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions
Kiana Ehsani
Daniel Gordon
T. Nguyen
Roozbeh Mottaghi
Ali Farhadi
3DH
SSL
10
2
0
16 Oct 2020
For self-supervised learning, Rationality implies generalization,
  provably
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal
Gal Kaplun
Boaz Barak
OOD
SSL
50
22
0
16 Oct 2020
On the surprising similarities between supervised and self-supervised
  models
On the surprising similarities between supervised and self-supervised models
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Matthias Bethge
Felix Wichmann
Wieland Brendel
OOD
SSL
DRL
69
46
0
16 Oct 2020
Representation Learning via Invariant Causal Mechanisms
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrović
Brian McWilliams
Jacob Walker
Lars Buesing
Charles Blundell
CML
OOD
SSL
23
247
0
15 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu
Yingce Xia
Lijun Wu
Jiajun Deng
Wen-gang Zhou
Tao Qin
Houqiang Li
SSL
OffRL
26
55
0
15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
20
64
0
14 Oct 2020
Are all negatives created equal in contrastive instance discrimination?
Are all negatives created equal in contrastive instance discrimination?
Tiffany Cai
Jonathan Frankle
D. Schwab
Ari S. Morcos
SSL
8
81
0
13 Oct 2020
MixCo: Mix-up Contrastive Learning for Visual Representation
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
104
80
0
13 Oct 2020
Contrast and Classify: Training Robust VQA Models
Contrast and Classify: Training Robust VQA Models
Yash Kant
A. Moudgil
Dhruv Batra
Devi Parikh
Harsh Agrawal
19
5
0
13 Oct 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability
  of Chest X-ray Models
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
Hari Sowrirajan
Jingbo Yang
A. Ng
Pranav Rajpurkar
16
86
0
11 Oct 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
49
759
0
09 Oct 2020
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled
  Data
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei
Kendrick Shen
Yining Chen
Tengyu Ma
SSL
15
224
0
07 Oct 2020
Unsupervised Representation Learning by InvariancePropagation
Unsupervised Representation Learning by InvariancePropagation
Feng Wang
Huaping Liu
Di Guo
F. Sun
SSL
31
33
0
07 Oct 2020
Representation learning from videos in-the-wild: An object-centric
  approach
Representation learning from videos in-the-wild: An object-centric approach
Rob Romijnders
Aravindh Mahendran
Michael Tschannen
Josip Djolonga
Marvin Ritter
N. Houlsby
Mario Lucic
OCL
SSL
14
8
0
06 Oct 2020
Do Explicit Alignments Robustly Improve Multilingual Encoders?
Do Explicit Alignments Robustly Improve Multilingual Encoders?
Shijie Wu
Mark Dredze
12
7
0
06 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Z. Chen
Subhransu Maji
Erik Learned-Miller
SSL
VLM
8
19
0
06 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
20
62
0
05 Oct 2020
A Simple Framework for Uncertainty in Contrastive Learning
A Simple Framework for Uncertainty in Contrastive Learning
Mike Wu
Noah D. Goodman
UQCV
12
18
0
05 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual
  Representations
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu
Milan Mossé
Chengxu Zhuang
Daniel L. K. Yamins
Noah D. Goodman
SSL
23
77
0
05 Oct 2020
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
Benjin Zhu
Junqiang Huang
Zeming Li
Xiangyu Zhang
Jian-jun Sun
SSL
9
13
0
05 Oct 2020
Integrating Categorical Semantics into Unsupervised Domain Translation
Integrating Categorical Semantics into Unsupervised Domain Translation
Samuel Lavoie-Marchildon
Faruk Ahmed
Aaron Courville
20
5
0
03 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
27
628
0
02 Oct 2020
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
24
730
0
02 Oct 2020
Understanding Self-supervised Learning with Dual Deep Networks
Understanding Self-supervised Learning with Dual Deep Networks
Yuandong Tian
Lantao Yu
Xinlei Chen
Surya Ganguli
SSL
13
78
0
01 Oct 2020
Joint Contrastive Learning with Infinite Possibilities
Joint Contrastive Learning with Infinite Possibilities
Qi Cai
Yu Wang
Yingwei Pan
Ting Yao
Tao Mei
VLM
9
60
0
30 Sep 2020
Beneficial Perturbations Network for Defending Adversarial Examples
Beneficial Perturbations Network for Defending Adversarial Examples
Shixian Wen
A. Rios
Laurent Itti
AAML
6
1
0
27 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li
Caiming Xiong
S. Hoi
21
94
0
17 Sep 2020
SelfAugment: Automatic Augmentation Policies for Self-Supervised
  Learning
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
Colorado Reed
Sean L. Metzger
A. Srinivas
Trevor Darrell
Kurt Keutzer
SSL
22
49
0
16 Sep 2020
Contrastive Self-supervised Learning for Graph Classification
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng
P. Xie
SSL
25
152
0
13 Sep 2020
Don't miss the Mismatch: Investigating the Objective Function Mismatch
  for Unsupervised Representation Learning
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning
Bonifaz Stuhr
Jürgen Brauer
13
1
0
04 Sep 2020
A Framework For Contrastive Self-Supervised Learning And Designing A New
  Approach
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon
Kyunghyun Cho
SSL
11
103
0
31 Aug 2020
Langevin Cooling for Domain Translation
Langevin Cooling for Domain Translation
Vignesh Srinivasan
Klaus-Robert Muller
Wojciech Samek
Shinichi Nakajima
28
1
0
31 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
VLM
13
58
0
26 Aug 2020
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Evgenii Zheltonozhskii
Chaim Baskin
A. Bronstein
A. Mendelson
SSL
6
10
0
24 Aug 2020
A Systematic Survey of Regularization and Normalization in GANs
A Systematic Survey of Regularization and Normalization in GANs
Ziqiang Li
Muhammad Usman
Rentuo Tao
Pengfei Xia
Xintian Wu
Huanhuan Chen
Bin Li
22
49
0
19 Aug 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSL
DRL
8
298
0
13 Aug 2020
Unsupervised Feature Learning by Cross-Level Instance-Group
  Discrimination
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong Wang
Ziwei Liu
Stella X. Yu
SSL
4
76
0
09 Aug 2020
LoCo: Local Contrastive Representation Learning
LoCo: Local Contrastive Representation Learning
Yuwen Xiong
Mengye Ren
R. Urtasun
SSL
DRL
25
69
0
04 Aug 2020
Self-supervised Visual Attribute Learning for Fashion Compatibility
Self-supervised Visual Attribute Learning for Fashion Compatibility
Donghyun Kim
Kuniaki Saito
Samarth Mishra
Stan Sclaroff
Kate Saenko
Bryan A. Plummer
SSL
11
22
0
01 Aug 2020
Distilling Visual Priors from Self-Supervised Learning
Distilling Visual Priors from Self-Supervised Learning
Bingchen Zhao
Xin Wen
SSL
6
14
0
01 Aug 2020
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM
  for Unsupervised Action Recognition
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Haocong Rao
Shihao Xu
Xiping Hu
Jun Cheng
Bin Hu
22
191
0
01 Aug 2020
Self-supervised learning through the eyes of a child
Self-supervised learning through the eyes of a child
A. Orhan
Vaibhav Gupta
Brenden Lake
SSL
12
100
0
31 Jul 2020
Uncovering the structure of clinical EEG signals with self-supervised
  learning
Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert J. Banville
O. Chehab
Aapo Hyvarinen
D. Engemann
Alexandre Gramfort
23
195
0
31 Jul 2020
Demystifying Contrastive Self-Supervised Learning: Invariances,
  Augmentations and Dataset Biases
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Senthil Purushwalkam
Abhinav Gupta
SSL
8
213
0
28 Jul 2020
K-Shot Contrastive Learning of Visual Features with Multiple Instance
  Augmentations
K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations
Haohang Xu
H. Xiong
Guo-Jun Qi
VLM
18
6
0
27 Jul 2020
Contrastive Visual-Linguistic Pretraining
Contrastive Visual-Linguistic Pretraining
Lei Shi
Kai Shuang
Shijie Geng
Peng Su
Zhengkai Jiang
Peng Gao
Zuohui Fu
Gerard de Melo
Sen Su
VLM
SSL
CLIP
25
29
0
26 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image
  Segmentation without Annotation
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
C. Ouyang
C. Biffi
C. L. P. Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
20
205
0
20 Jul 2020
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