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A Simple Framework for Contrastive Learning of Visual Representations

A Simple Framework for Contrastive Learning of Visual Representations

13 February 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
    SSL
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Papers citing "A Simple Framework for Contrastive Learning of Visual Representations"

50 / 6,841 papers shown
Title
Accurate 3D Object Detection using Energy-Based Models
Accurate 3D Object Detection using Energy-Based Models
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
3DPC
30
10
0
08 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
14
79
0
08 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise
Multi-Objective Interpolation Training for Robustness to Label Noise
Diego Ortego
Eric Arazo
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
16
112
0
08 Dec 2020
Self-Supervision Closes the Gap Between Weak and Strong Supervision in
  Histology
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene
Axel Camara
O. Moindrot
Axel de Lavergne
P. Courtiol
13
68
0
07 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
6
12
0
04 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models
Improved Contrastive Divergence Training of Energy Based Models
Yilun Du
Shuang Li
J. Tenenbaum
Igor Mordatch
14
138
0
02 Dec 2020
On Initial Pools for Deep Active Learning
On Initial Pools for Deep Active Learning
Akshay L Chandra
Sai Vikas Desai
Chaitanya Devaguptapu
V. Balasubramanian
19
19
0
30 Nov 2020
Self-supervised Visual Reinforcement Learning with Object-centric
  Representations
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
SSL
OCL
6
41
0
29 Nov 2020
Time Series Change Point Detection with Self-Supervised Contrastive
  Predictive Coding
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Shohreh Deldari
Daniel V. Smith
Hao Xue
Flora D. Salim
AI4TS
17
107
0
28 Nov 2020
Self supervised contrastive learning for digital histopathology
Self supervised contrastive learning for digital histopathology
Ozan Ciga
Tony Xu
Anne L. Martel
SSL
103
305
0
27 Nov 2020
Task Programming: Learning Data Efficient Behavior Representations
Task Programming: Learning Data Efficient Behavior Representations
Jennifer J. Sun
Ann Kennedy
Eric Zhan
David J. Anderson
Yisong Yue
Pietro Perona
23
48
0
27 Nov 2020
Self-EMD: Self-Supervised Object Detection without ImageNet
Self-EMD: Self-Supervised Object Detection without ImageNet
Songtao Liu
Zeming Li
Jian-jun Sun
SSL
ObjD
11
92
0
27 Nov 2020
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
H. Gouk
Timothy M. Hospedales
SSL
30
274
0
26 Nov 2020
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Yutong Bai
Haoqi Fan
Ishan Misra
Ganesh Venkatesh
Yongyi Lu
Yuyin Zhou
Qihang Yu
Vikas Chandra
Alan Yuille
16
40
0
25 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
22
68
0
25 Nov 2020
Unsupervised Object Detection with LiDAR Clues
Unsupervised Object Detection with LiDAR Clues
Haofei Tian
Yuntao Chen
Jifeng Dai
Zhaoxiang Zhang
Xizhou Zhu
3DPC
25
28
0
25 Nov 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained
  Classification Problems
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
16
240
0
25 Nov 2020
Contrastive Representation Learning for Whole Brain Cytoarchitectonic
  Mapping in Histological Human Brain Sections
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections
Christian Schiffer
K. Amunts
Stefan Harmeling
Timo Dickscheid
6
10
0
25 Nov 2020
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal
  and Clustered Embeddings
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
OOD
21
44
0
25 Nov 2020
Dissecting Image Crops
Dissecting Image Crops
Basile Van Hoorick
Carl Vondrick
18
9
0
24 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative
  Cancellation
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
11
165
0
23 Nov 2020
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised
  Video Representation Learning
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning
Zehua Zhang
David J. Crandall
AI4TS
SSL
23
23
0
23 Nov 2020
The Emerging Trends of Multi-Label Learning
The Emerging Trends of Multi-Label Learning
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
30
252
0
23 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
S. Hoi
SSL
19
252
0
23 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
14
3,949
0
20 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot
  Learning
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye
Xiaoyu Lin
Giedrius Burachas
Ajay Divakaran
Yi Yao
12
2
0
19 Nov 2020
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
23
227
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
6
13
0
19 Nov 2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
Yinghui Li
Ruiyang Liu
Zihao Zhang
Ning Ding
Ying Shen
Li Tao
Haitao Zheng
13
0
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
19
65
0
15 Nov 2020
Bi-tuning of Pre-trained Representations
Bi-tuning of Pre-trained Representations
Jincheng Zhong
Ximei Wang
Zhi Kou
Jianmin Wang
Mingsheng Long
10
21
0
12 Nov 2020
Unsupervised Video Representation Learning by Bidirectional Feature
  Prediction
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
Nadine Behrmann
Juergen Gall
M. Noroozi
SSL
MDE
22
29
0
11 Nov 2020
Self-Supervised Out-of-Distribution Detection in Brain CT Scans
Self-Supervised Out-of-Distribution Detection in Brain CT Scans
Abinav Ravi Venkatakrishnan
S. T. Kim
R. Eisawy
Franz MJ Pfister
Nassir Navab
OOD
16
22
0
10 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
15
115
0
09 Nov 2020
Intriguing Properties of Contrastive Losses
Intriguing Properties of Contrastive Losses
Ting Chen
Calvin Luo
Lala Li
28
173
0
05 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
8
8
0
05 Nov 2020
Learning Representations from Audio-Visual Spatial Alignment
Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado
Yi Li
Nuno Vasconcelos
SSL
13
121
0
03 Nov 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
VLM
SSL
18
14
0
29 Oct 2020
Image Representations Learned With Unsupervised Pre-Training Contain
  Human-like Biases
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Ryan Steed
Aylin Caliskan
SSL
17
156
0
28 Oct 2020
Quantifying Learnability and Describability of Visual Concepts Emerging
  in Representation Learning
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina
Ruth C. Fong
Andrea Vedaldi
OCL
20
13
0
27 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
11
1,072
0
27 Oct 2020
Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio
  and Tags
Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags
Xavier Favory
K. Drossos
Tuomas Virtanen
Xavier Serra
18
15
0
27 Oct 2020
Contrastive Unsupervised Learning for Audio Fingerprinting
Contrastive Unsupervised Learning for Audio Fingerprinting
Zhesong Yu
Xingjian Du
Bilei Zhu
Zejun Ma
15
9
0
26 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zhangyang Wang
13
226
0
26 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
41
39,217
0
22 Oct 2020
Graph Attention Networks for Speaker Verification
Graph Attention Networks for Speaker Verification
Jee-weon Jung
Hee-Soo Heo
Ha-Jin Yu
Joon Son Chung
17
26
0
22 Oct 2020
Similarity Analysis of Self-Supervised Speech Representations
Similarity Analysis of Self-Supervised Speech Representations
Yu-An Chung
Yonatan Belinkov
James R. Glass
SSL
28
36
0
22 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
244
114
0
20 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs
Robust Optimization as Data Augmentation for Large-scale Graphs
Kezhi Kong
G. Li
Mucong Ding
Zuxuan Wu
Chen Zhu
Bernard Ghanem
Gavin Taylor
Tom Goldstein
101
74
0
19 Oct 2020
Self-supervised Geometric Features Discovery via Interpretable Attention
  for Vehicle Re-Identification and Beyond
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond
Ming Li
Xinming Huang
Ziming Zhang
SSL
25
41
0
19 Oct 2020
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