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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
ArXiv (abs)PDFHTML

Papers citing "Improved Baselines with Momentum Contrastive Learning"

50 / 2,109 papers shown
Title
Geography-Aware Self-Supervised Learning
Geography-Aware Self-Supervised Learning
Kumar Ayush
Burak Uzkent
Chenlin Meng
Kumar Tanmay
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
122
235
0
19 Nov 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for
  Compact Visual Representations
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
71
13
0
19 Nov 2020
FROST: Faster and more Robust One-shot Semi-supervised Training
Helena E. Liu
L. Smith
BDLOffRL
58
1
0
18 Nov 2020
Online Exemplar Fine-Tuning for Image-to-Image Translation
Online Exemplar Fine-Tuning for Image-to-Image Translation
Taewon Kang
Soohyun Kim
Sunwoo Kim
Seungryong Kim
46
3
0
18 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
101
689
0
18 Nov 2020
UP-DETR: Unsupervised Pre-training for Object Detection with
  Transformers
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
ViT
87
24
0
18 Nov 2020
Can Semantic Labels Assist Self-Supervised Visual Representation
  Learning?
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Longhui Wei
Lingxi Xie
Jianzhong He
Jianlong Chang
Xiaopeng Zhang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
57
25
0
17 Nov 2020
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised
  Representations from Self-Trained Negative Adversaries
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Q. Hu
Tianlin Li
Wei Hu
Guo-Jun Qi
SSL
78
153
0
17 Nov 2020
Unsupervised Contrastive Learning of Sound Event Representations
Unsupervised Contrastive Learning of Sound Event Representations
Eduardo Fonseca
Diego Ortego
Kevin McGuinness
Noel E. O'Connor
Xavier Serra
SSL
72
66
0
15 Nov 2020
Learning a Geometric Representation for Data-Efficient Depth Estimation
  via Gradient Field and Contrastive Loss
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss
D. Shim
H. J. Kim
SSLMDE
64
1
0
06 Nov 2020
Center-wise Local Image Mixture For Contrastive Representation Learning
Center-wise Local Image Mixture For Contrastive Representation Learning
Hao Li
Xiaopeng Zhang
H. Xiong
76
8
0
05 Nov 2020
IDE-Net: Interactive Driving Event and Pattern Extraction from Human
  Data
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data
Xiaosong Jia
Liting Sun
Masayoshi Tomizuka
Wei Zhan
83
27
0
04 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing
  Texture
Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Janit Anjaria
Jonghyun Choi
Abhinav Shrivastava
Abhishek Sharma
David Jacobs
SSL
113
11
0
03 Nov 2020
Distilling Knowledge by Mimicking Features
Distilling Knowledge by Mimicking Features
G. Wang
Yifan Ge
Jianxin Wu
102
38
0
03 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
154
1,411
0
31 Oct 2020
Pretext-Contrastive Learning: Toward Good Practices in Self-supervised
  Video Representation Leaning
Pretext-Contrastive Learning: Toward Good Practices in Self-supervised Video Representation Leaning
L. Tao
Xueting Wang
T. Yamasaki
VLMSSL
104
14
0
29 Oct 2020
CompRess: Self-Supervised Learning by Compressing Representations
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
82
92
0
28 Oct 2020
Contrastive Unsupervised Learning for Audio Fingerprinting
Contrastive Unsupervised Learning for Audio Fingerprinting
Zhesong Yu
Xingjian Du
Bilei Zhu
Zejun Ma
73
9
0
26 Oct 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
CLOUD: Contrastive Learning of Unsupervised Dynamics
Jianren Wang
Yujie Lu
Hang Zhao
93
5
0
23 Oct 2020
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
309
115
0
20 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
193
56
0
19 Oct 2020
Improving Transformation Invariance in Contrastive Representation
  Learning
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster
Rattana Pukdee
Tom Rainforth
109
23
0
19 Oct 2020
Federated Unsupervised Representation Learning
Federated Unsupervised Representation Learning
Fengda Zhang
Kun Kuang
Zhaoyang You
Tao Shen
Jun Xiao
Yin Zhang
Chao-Xiang Wu
Yueting Zhuang
Xiaolin Li
FedML
89
137
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
86
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
3DHSSL
55
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
OODSSL
117
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
OODSSLDRL
142
48
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
CMLOODSSL
80
251
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
SSLOffRL
110
60
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
131
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
78
83
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
167
81
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
55
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
115
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
161
789
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
117
232
0
07 Oct 2020
Unsupervised Representation Learning by InvariancePropagation
Unsupervised Representation Learning by InvariancePropagation
Feng Wang
Huaping Liu
Di Guo
F. Sun
SSL
90
32
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
OCLSSL
70
8
0
06 Oct 2020
Do Explicit Alignments Robustly Improve Multilingual Encoders?
Do Explicit Alignments Robustly Improve Multilingual Encoders?
Shijie Wu
Mark Dredze
54
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
SSLVLM
53
20
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
85
63
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
96
19
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
108
79
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 Sun
SSL
79
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
75
6
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
144
647
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
195
774
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
86
80
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
69
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
30
1
0
27 Sep 2020
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