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Demystifying Contrastive Self-Supervised Learning: Invariances,
  Augmentations and Dataset Biases

Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases

28 July 2020
Senthil Purushwalkam
Abhinav Gupta
    SSL
ArXivPDFHTML

Papers citing "Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases"

46 / 146 papers shown
Title
DCL: Differential Contrastive Learning for Geometry-Aware Depth
  Synthesis
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
Yuefan Shen
Yanchao Yang
Youyi Zheng
Karen Liu
Leonidas J. Guibas
MDE
10
5
0
27 Jul 2021
Playful Interactions for Representation Learning
Playful Interactions for Representation Learning
Sarah Young
Jyothish Pari
Pieter Abbeel
Lerrel Pinto
SSL
22
14
0
19 Jul 2021
Distance-based Hyperspherical Classification for Multi-source Open-Set
  Domain Adaptation
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
S. Bucci
Francesco Cappio Borlino
Barbara Caputo
Tatiana Tommasi
VLM
27
14
0
05 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature
  Corruption
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri
Heinrich Jiang
Yi Tay
Donald Metzler
SSL
17
163
0
29 Jun 2021
Watching Too Much Television is Good: Self-Supervised Audio-Visual
  Representation Learning from Movies and TV Shows
Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows
Mahdi M. Kalayeh
Nagendra Kamath
Lingyi Liu
Ashok Chandrashekar
SSL
19
2
0
16 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
17
65
0
10 Jun 2021
Self-Damaging Contrastive Learning
Self-Damaging Contrastive Learning
Ziyu Jiang
Tianlong Chen
Bobak J. Mortazavi
Zhangyang Wang
CLL
11
69
0
06 Jun 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
53
96
0
17 May 2021
Contrastive Learning of Image Representations with Cross-Video
  Cycle-Consistency
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
Haiping Wu
Xiaolong Wang
SSL
8
31
0
13 May 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge J. Belongie
SSL
21
123
0
12 May 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation
  Learning
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Christoph Feichtenhofer
Haoqi Fan
Bo Xiong
Ross B. Girshick
Kaiming He
SSL
AI4TS
25
257
0
29 Apr 2021
Towards Automatic Model Specialization for Edge Video Analytics
Towards Automatic Model Specialization for Edge Video Analytics
Daniel Rivas-Barragan
F. Guim
Jordà Polo
P. M. Silva
J. L. Berral
D. Carrera
6
10
0
14 Apr 2021
Composable Augmentation Encoding for Video Representation Learning
Composable Augmentation Encoding for Video Representation Learning
Chen Sun
Arsha Nagrani
Yonglong Tian
Cordelia Schmid
SSL
AI4TS
15
17
0
01 Apr 2021
Rethinking Self-supervised Correspondence Learning: A Video Frame-level
  Similarity Perspective
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective
Jiarui Xu
Xiaolong Wang
VOS
30
92
0
31 Mar 2021
Learning Representational Invariances for Data-Efficient Action
  Recognition
Learning Representational Invariances for Data-Efficient Action Recognition
Yuliang Zou
Jinwoo Choi
Qitong Wang
Jia-Bin Huang
14
39
0
30 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning
  Pipelines
Contrasting Contrastive Self-Supervised Representation Learning Pipelines
Klemen Kotar
Gabriel Ilharco
Ludwig Schmidt
Kiana Ehsani
Roozbeh Mottaghi
SSL
23
45
0
25 Mar 2021
Supporting Clustering with Contrastive Learning
Supporting Clustering with Contrastive Learning
Dejiao Zhang
Feng Nan
Xiaokai Wei
Shang-Wen Li
Henghui Zhu
Kathleen McKeown
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
27
195
0
24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
29
9
0
23 Mar 2021
Spatially Consistent Representation Learning
Spatially Consistent Representation Learning
Byungseok Roh
Wuhyun Shin
Ildoo Kim
Sungwoong Kim
SSL
28
88
0
10 Mar 2021
Contrastive learning of strong-mixing continuous-time stochastic
  processes
Contrastive learning of strong-mixing continuous-time stochastic processes
Bingbin Liu
Pradeep Ravikumar
Andrej Risteski
SSL
25
3
0
03 Mar 2021
The Effects of Image Distribution and Task on Adversarial Robustness
The Effects of Image Distribution and Task on Adversarial Robustness
Owen Kunhardt
Arturo Deza
T. Poggio
10
3
0
21 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
...
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
AI4TS
19
56
0
19 Feb 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model
  Pretraining
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng
Chenyan Xiong
Payal Bajaj
Saurabh Tiwary
Paul N. Bennett
Jiawei Han
Xia Song
125
202
0
16 Feb 2021
Self-supervised driven consistency training for annotation efficient
  histopathology image analysis
Self-supervised driven consistency training for annotation efficient histopathology image analysis
C. Srinidhi
Seung Wook Kim
Fu-Der Chen
Anne L. Martel
SSL
19
109
0
07 Feb 2021
Social NCE: Contrastive Learning of Socially-aware Motion
  Representations
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Yuejiang Liu
Qi Yan
Alexandre Alahi
24
101
0
21 Dec 2020
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
31
664
0
15 Dec 2020
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU
Shipra Jain
D. Pani
Martin Danelljan
Luc Van Gool
VLM
21
12
0
14 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
27
79
0
08 Dec 2020
Towards Good Practices in Self-supervised Representation Learning
Towards Good Practices in Self-supervised Representation Learning
Srikar Appalaraju
Yi Zhu
Yusheng Xie
István Fehérvári
SSL
8
21
0
01 Dec 2020
A Self-supervised Learning System for Object Detection in Videos Using
  Random Walks on Graphs
A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs
Juntao Tan
Changkyu Song
Abdeslam Boularias
SSL
11
2
0
10 Nov 2020
Intriguing Properties of Contrastive Losses
Intriguing Properties of Contrastive Losses
Ting Chen
Calvin Luo
Lala Li
28
173
0
05 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
18
1,356
0
31 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
25
64
0
14 Oct 2020
Self-Supervised Ranking for Representation Learning
Self-Supervised Ranking for Representation Learning
Ali Varamesh
Ali Diba
Tinne Tuytelaars
Luc Van Gool
SSL
AI4TS
15
9
0
14 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
164
684
0
10 Oct 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
54
759
0
09 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
29
628
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
Self-supervised Video Representation Learning by Uncovering
  Spatio-temporal Statistics
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
Jiangliu Wang
Jianbo Jiao
Linchao Bao
Shengfeng He
Wei Liu
Yunhui Liu
SSL
AI4TS
13
55
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
15
58
0
26 Aug 2020
Spatiotemporal Contrastive Video Representation Learning
Spatiotemporal Contrastive Video Representation Learning
Rui Qian
Tianjian Meng
Boqing Gong
Ming-Hsuan Yang
H. Wang
Serge J. Belongie
Yin Cui
SSL
AI4TS
20
491
0
09 Aug 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford
Aditya Kusupati
Keivan Alizadeh Vahid
Aaron Walsman
Aniruddha Kembhavi
Ali Farhadi
17
2
0
06 Jul 2020
Widening the Pipeline in Human-Guided Reinforcement Learning with
  Explanation and Context-Aware Data Augmentation
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
L. Guan
Mudit Verma
Sihang Guo
Ruohan Zhang
Subbarao Kambhampati
38
42
0
26 Jun 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
21
87
0
18 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in
  the Wild
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
Matthias Muller
Adel Bibi
Silvio Giancola
Salman Al-Subaihi
Bernard Ghanem
223
789
0
28 Mar 2018
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