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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"

50 / 146 papers shown
Title
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by
  Contrastive Learning
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning
Xin Wei
Huaiwei Cong
Zheng Zhang
Junran Peng
Guoping Chen
Jinpeng Li
24
7
0
23 Aug 2022
Looking For A Match: Self-supervised Clustering For Automatic Doubt
  Matching In e-learning Platforms
Looking For A Match: Self-supervised Clustering For Automatic Doubt Matching In e-learning Platforms
V. Joshi
S. Tatinati
Yubo Wang
24
1
0
20 Aug 2022
Matching Multiple Perspectives for Efficient Representation Learning
Matching Multiple Perspectives for Efficient Representation Learning
Omiros Pantazis
M. Salvaris
SSL
28
0
0
16 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning
Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi
Ekdeep Singh Lubana
Mark Heimann
Danai Koutra
Jayaraman J. Thiagarajan
28
11
0
04 Aug 2022
On the robustness of self-supervised representations for multi-view
  object classification
On the robustness of self-supervised representations for multi-view object classification
David Torpey
Richard Klein
SSL
11
1
0
27 Jul 2022
Contrastive Self-Supervised Learning Leads to Higher Adversarial
  Susceptibility
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
Rohit Gupta
Naveed Akhtar
Ajmal Saeed Mian
M. Shah
AAML
SSL
21
5
0
22 Jul 2022
HyperInvariances: Amortizing Invariance Learning
HyperInvariances: Amortizing Invariance Learning
Ruchika Chavhan
H. Gouk
Jan Stuhmer
Timothy M. Hospedales
13
0
0
17 Jul 2022
Pixel-level Correspondence for Self-Supervised Learning from Video
Pixel-level Correspondence for Self-Supervised Learning from Video
Yash Sharma
Yi Zhu
Chris Russell
Thomas Brox
SSL
13
4
0
08 Jul 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
M. Gwilliam
Abhinav Shrivastava
SSL
76
19
1
16 Jun 2022
SERE: Exploring Feature Self-relation for Self-supervised Transformer
SERE: Exploring Feature Self-relation for Self-supervised Transformer
Zhong-Yu Li
Shanghua Gao
Ming-Ming Cheng
ViT
MDE
26
14
0
10 Jun 2022
An Empirical Study on Disentanglement of Negative-free Contrastive
  Learning
An Empirical Study on Disentanglement of Negative-free Contrastive Learning
Jinkun Cao
Ruiqian Nai
Qing Yang
Jialei Huang
Yang Gao
CoGe
DRL
19
9
0
09 Jun 2022
Extreme Masking for Learning Instance and Distributed Visual
  Representations
Extreme Masking for Learning Instance and Distributed Visual Representations
Zhirong Wu
Zihang Lai
Xiao Sun
Stephen Lin
32
22
0
09 Jun 2022
Integrating Prior Knowledge in Contrastive Learning with Kernel
Integrating Prior Knowledge in Contrastive Learning with Kernel
Benoit Dufumier
C. Barbano
Robin Louiset
Edouard Duchesnay
Pietro Gori
SSL
19
8
0
03 Jun 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent
  Clustering
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
Ekdeep Singh Lubana
Chi Ian Tang
F. Kawsar
Robert P. Dick
Akhil Mathur
FedML
29
52
0
23 May 2022
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
Ekim Yurtsever
Emecc Erccelik
Ming-Yu Liu
Zhijie Yang
Hanzhen Zhang
Pinar Topccam
Maximilian Listl
Yilmaz Kaan cCayli
Alois C. Knoll
3DPC
6
25
0
02 May 2022
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
Mahdi M. Kalayeh
Shervin Ardeshir
Lingyi Liu
Nagendra Kamath
Ashok Chandrashekar
SSL
22
3
0
29 Apr 2022
Self-Supervised Learning of Object Parts for Semantic Segmentation
Self-Supervised Learning of Object Parts for Semantic Segmentation
A. Ziegler
Yuki M. Asano
SSL
OCL
26
101
0
27 Apr 2022
SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric
  Action Recognition
SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition
Victor Escorcia
Ricardo Guerrero
Xiatian Zhu
Brais Martínez
EgoV
28
9
0
10 Apr 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
Renhao Wang
Hang Zhao
Yang Gao
SSL
21
1
0
17 Mar 2022
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised
  Learning Through Hierarchical Contrastive Learning
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
Manuel Tran
S. J. Wagner
Melanie Boxberg
T. Peng
SSL
14
12
0
14 Mar 2022
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
Zhaowen Li
Yousong Zhu
Fan Yang
Wei Li
Chaoyang Zhao
...
Jiahao Xie
Liwei Wu
Rui Zhao
Ming Tang
Jinqiao Wang
17
36
0
14 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Simone Parisi
Aravind Rajeswaran
Senthil Purushwalkam
Abhinav Gupta
LM&Ro
28
186
0
07 Mar 2022
Kubric: A scalable dataset generator
Kubric: A scalable dataset generator
Klaus Greff
Francois Belletti
Lucas Beyer
Carl Doersch
Yilun Du
...
Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
43
250
0
07 Mar 2022
Fuse Local and Global Semantics in Representation Learning
Fuse Local and Global Semantics in Representation Learning
Yuchi Zhao
Yuhao Zhou
FedML
9
1
0
28 Feb 2022
What Makes Good Contrastive Learning on Small-Scale Wearable-based
  Tasks?
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
Hangwei Qian
Tian Tian
C. Miao
SSL
22
50
0
12 Feb 2022
Crafting Better Contrastive Views for Siamese Representation Learning
Crafting Better Contrastive Views for Siamese Representation Learning
Xiang Peng
Kai Wang
Zheng Hua Zhu
Mang Wang
Yang You
SSL
28
102
0
07 Feb 2022
Generalizing similarity in noisy setups: the DIBS phenomenon
Generalizing similarity in noisy setups: the DIBS phenomenon
Nayara Fonseca
V. Guidetti
13
0
0
30 Jan 2022
Video Transformers: A Survey
Video Transformers: A Survey
Javier Selva
A. S. Johansen
Sergio Escalera
Kamal Nasrollahi
T. Moeslund
Albert Clapés
ViT
22
103
0
16 Jan 2022
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised
  Knowledge Distillation
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
K. Navaneet
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
13
19
0
13 Jan 2022
Barely-Supervised Learning: Semi-Supervised Learning with very few
  labeled images
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images
Thomas Lucas
Philippe Weinzaepfel
Grégory Rogez
SSL
22
30
0
22 Dec 2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
27
148
0
20 Dec 2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
77
655
0
16 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
21
25
0
10 Dec 2021
Tradeoffs Between Contrastive and Supervised Learning: An Empirical
  Study
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
A. Karthik
Mike Wu
Noah D. Goodman
Alex Tamkin
SSL
32
5
0
10 Dec 2021
PreViTS: Contrastive Pretraining with Video Tracking Supervision
PreViTS: Contrastive Pretraining with Video Tracking Supervision
Brian Chen
Ramprasaath R. Selvaraju
Shih-Fu Chang
Juan Carlos Niebles
Nikhil Naik
ViT
25
2
0
01 Dec 2021
Object-Aware Cropping for Self-Supervised Learning
Object-Aware Cropping for Self-Supervised Learning
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Abhyuday N. Jagannatha
Janit Anjaria
Abhishek Sharma
David Jacobs
Dilip Krishnan
SSL
18
22
0
01 Dec 2021
Why Do Self-Supervised Models Transfer? Investigating the Impact of
  Invariance on Downstream Tasks
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
Linus Ericsson
H. Gouk
Timothy M. Hospedales
SSL
13
15
0
22 Nov 2021
Augmentations in Graph Contrastive Learning: Current Methodological
  Flaws & Towards Better Practices
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices
Puja Trivedi
Ekdeep Singh Lubana
Yujun Yan
Yaoqing Yang
Danai Koutra
37
52
0
05 Nov 2021
When Does Contrastive Learning Preserve Adversarial Robustness from
  Pretraining to Finetuning?
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan
Sijia Liu
Pin-Yu Chen
Gaoyuan Zhang
Chuang Gan
AAML
VLM
8
118
0
01 Nov 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
H. Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
29
270
0
18 Oct 2021
The Impact of Spatiotemporal Augmentations on Self-Supervised
  Audiovisual Representation Learning
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning
Haider Al-Tahan
Y. Mohsenzadeh
SSL
AI4TS
27
0
0
13 Oct 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision
  Datasets from 3D Scans
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
Ainaz Eftekhar
Alexander Sax
Roman Bachmann
Jitendra Malik
Amir Zamir
MedIm
33
288
0
11 Oct 2021
Cluster Analysis with Deep Embeddings and Contrastive Learning
Cluster Analysis with Deep Embeddings and Contrastive Learning
Ramakrishnan Sundareswaran
Jansel Herrera-Gerena
John Just
Ali Janessari
SSL
DRL
25
4
0
26 Sep 2021
Long Short View Feature Decomposition via Contrastive Video
  Representation Learning
Long Short View Feature Decomposition via Contrastive Video Representation Learning
Nadine Behrmann
Mohsen Fayyaz
Juergen Gall
M. Noroozi
13
36
0
23 Sep 2021
Multi-Task Self-Training for Learning General Representations
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Tsung-Yi Lin
SSL
24
100
0
25 Aug 2021
Learning From Long-Tailed Data With Noisy Labels
Learning From Long-Tailed Data With Noisy Labels
Shyamgopal Karthik
Jérôme Revaud
Boris Chidlovskii
SSL
NoLa
11
27
0
25 Aug 2021
Self-Supervised Visual Representations Learning by Contrastive Mask
  Prediction
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
Yucheng Zhao
Guangting Wang
Chong Luo
Wenjun Zeng
Zhengjun Zha
ISeg
SSL
19
46
0
18 Aug 2021
Improving Self-supervised Learning with Hardness-aware Dynamic
  Curriculum Learning: An Application to Digital Pathology
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology
C. Srinidhi
Anne L. Martel
34
22
0
16 Aug 2021
Focus on the Positives: Self-Supervised Learning for Biodiversity
  Monitoring
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
SSL
23
30
0
14 Aug 2021
Object-aware Contrastive Learning for Debiased Scene Representation
Object-aware Contrastive Learning for Debiased Scene Representation
Sangwoo Mo
H. Kang
Kihyuk Sohn
Chun-Liang Li
Jinwoo Shin
SSL
OCL
16
48
0
30 Jul 2021
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