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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
Contrastive Learning to Fine-Tune Feature Extraction Models for the
  Visual Cortex
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex
Alex Mulrooney
Austin J. Brockmeier
41
0
0
08 Oct 2024
Improving Object Detection via Local-global Contrastive Learning
Improving Object Detection via Local-global Contrastive Learning
Danai Triantafyllidou
Sarah Parisot
A. Leonardis
Steven G. McDonagh
34
0
0
07 Oct 2024
Self-supervised visual learning from interactions with objects
Self-supervised visual learning from interactions with objects
A. Aubret
Céline Teulière
Jochen Triesch
55
5
0
09 Jul 2024
Self-supervised Pretraining and Finetuning for Monocular Depth and
  Visual Odometry
Self-supervised Pretraining and Finetuning for Monocular Depth and Visual Odometry
Boris Chidlovskii
L. Antsfeld
MDE
ViT
29
1
0
16 Jun 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models
  Trained with Synthetic Images
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
Krishnakant Singh
Thanush Navaratnam
Jannik Holmer
Simone Schaub-Meyer
Stefan Roth
DiffM
44
18
0
30 May 2024
Self-Supervised Learning Based Handwriting Verification
Self-Supervised Learning Based Handwriting Verification
Mihir Chauhan
Mohammad Abuzar Shaikh
Abhishek Satbhai
Mir Basheer Ali
B. Ramamurthy
Mingchen Gao
Siwei Lyu
Sargur Srihari
24
2
0
28 May 2024
Separable Power of Classical and Quantum Learning Protocols Through the
  Lens of No-Free-Lunch Theorem
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem
Xinbiao Wang
Yuxuan Du
Kecheng Liu
Yong Luo
Bo Du
Dacheng Tao
27
1
0
12 May 2024
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
Samuel Lavoie
Polina Kirichenko
Mark Ibrahim
Mahmoud Assran
Andrew Gordon Wilson
Aaron Courville
Nicolas Ballas
CLIP
VLM
64
19
0
30 Apr 2024
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and
  Texts
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
Wonjae Kim
Sanghyuk Chun
Taekyung Kim
Dongyoon Han
Sangdoo Yun
39
7
0
26 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
30
1
0
23 Apr 2024
Know Yourself Better: Diverse Discriminative Feature Learning Improves
  Open Set Recognition
Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition
Jiawen Xu
23
0
0
16 Apr 2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
63
2
0
11 Mar 2024
A Large-scale Evaluation of Pretraining Paradigms for the Detection of
  Defects in Electroluminescence Solar Cell Images
A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images
David Torpey
Lawrence Pratt
Richard Klein
30
0
0
27 Feb 2024
Guarding Barlow Twins Against Overfitting with Mixed Samples
Guarding Barlow Twins Against Overfitting with Mixed Samples
W. G. C. Bandara
C. D. Melo
Vishal M. Patel
SSL
32
10
0
04 Dec 2023
Disentangling the Effects of Data Augmentation and Format Transform in
  Self-Supervised Learning of Image Representations
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations
N. Kalibhat
Warren Morningstar
Alex Bijamov
Luyang Liu
Karan Singhal
Philip Mansfield
25
2
0
02 Dec 2023
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
Renan A. Rojas-Gomez
Karan Singhal
Ali Etemad
Alex Bijamov
Warren Morningstar
Philip Mansfield
14
1
0
02 Dec 2023
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
Yixuan Luo
Mengye Ren
Sai Qian Zhang
20
0
0
28 Nov 2023
Continual Learning of Unsupervised Monocular Depth from Videos
Continual Learning of Unsupervised Monocular Depth from Videos
Hemang Chawla
Arnav Varma
Elahe Arani
Bahram Zonooz
27
6
0
04 Nov 2023
SAMCLR: Contrastive pre-training on complex scenes using SAM for view
  sampling
SAMCLR: Contrastive pre-training on complex scenes using SAM for view sampling
Benjamin Missaoui
Chongbin Yuan
VLM
23
1
0
23 Oct 2023
Self-supervised Representation Learning From Random Data Projectors
Self-supervised Representation Learning From Random Data Projectors
Yi Sui
Tongzi Wu
Jesse C. Cresswell
Ga Wu
George Stein
Xiao Shi Huang
Xiaochen Zhang
M. Volkovs
24
10
0
11 Oct 2023
Siamese Representation Learning for Unsupervised Relation Extraction
Siamese Representation Learning for Unsupervised Relation Extraction
Guangxin Zhang
Shu Chen
SSL
15
2
0
01 Oct 2023
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial
  Datasets
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets
Daria Reshetova
Swetava Ganguli
C. V. K. Iyer
Vipul Pandey
18
3
0
26 Sep 2023
Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video
  Representation Learning
Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning
Minghao Zhu
Xiao Lin
Ronghao Dang
Chengju Liu
Qi Chen
VGen
22
8
0
01 Sep 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive
  Learning
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
28
2
0
30 Aug 2023
Composition-contrastive Learning for Sentence Embeddings
Composition-contrastive Learning for Sentence Embeddings
Sachin Chanchani
Ruihong Huang
25
7
0
14 Jul 2023
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching
  Function
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function
Jinyoung Kim
Soonwoo Kwon
Hyojun Go
Yunsung Lee
Seungtaek Choi
Hyun-Gyoon Kim
27
1
0
07 Jun 2023
Evaluating The Robustness of Self-Supervised Representations to
  Background/Foreground Removal
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal
Xavier F. Cadet
Ranya Aloufi
A. Miranville
S. Ahmadi-Abhari
Hamed Haddadi
16
0
0
02 Jun 2023
Tied-Augment: Controlling Representation Similarity Improves Data
  Augmentation
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
Emirhan Kurtuluş
Zichao Li
Yann N. Dauphin
E. D. Cubuk
30
3
0
22 May 2023
A Cookbook of Self-Supervised Learning
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDa
FedML
SSL
44
273
0
24 Apr 2023
Self-Supervised Learning from Non-Object Centric Images with a Geometric
  Transformation Sensitive Architecture
Self-Supervised Learning from Non-Object Centric Images with a Geometric Transformation Sensitive Architecture
Taeho Kim
Jong-Min Lee
26
0
0
17 Apr 2023
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D
  Videos
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
Shiyang Lu
Yunfu Deng
Abdeslam Boularias
Kostas Bekris
VOS
17
0
0
09 Apr 2023
Multi-Level Contrastive Learning for Dense Prediction Task
Multi-Level Contrastive Learning for Dense Prediction Task
Qiushan Guo
Yizhou Yu
Yi-Xin Jiang
Jiannan Wu
Zehuan Yuan
Ping Luo
SSL
24
2
0
04 Apr 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation
  Learning
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
Thomas Stegmüller
Tim Lebailly
Behzad Bozorgtabar
Tinne Tuytelaars
Jean-Philippe Thiran
29
15
0
23 Mar 2023
Instance-Conditioned GAN Data Augmentation for Representation Learning
Instance-Conditioned GAN Data Augmentation for Representation Learning
Pietro Astolfi
Arantxa Casanova
Jakob Verbeek
Pascal Vincent
Adriana Romero Soriano
M. Drozdzal
19
6
0
16 Mar 2023
Rethinking Self-Supervised Visual Representation Learning in
  Pre-training for 3D Human Pose and Shape Estimation
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Hongsuk Choi
Hyeongjin Nam
T. Lee
Gyeongsik Moon
Kyoung Mu Lee
34
7
0
09 Mar 2023
Amortised Invariance Learning for Contrastive Self-Supervision
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan
H. Gouk
Jan Stuehmer
Calum Heggan
Mehrdad Yaghoobi
Timothy M. Hospedales
SSL
35
11
0
24 Feb 2023
Deciphering the Projection Head: Representation Evaluation
  Self-supervised Learning
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
Jiajun Ma
Tianyang Hu
Wenjia Wang
17
8
0
28 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
31
124
0
13 Jan 2023
CDA: Contrastive-adversarial Domain Adaptation
CDA: Contrastive-adversarial Domain Adaptation
Nishant Yadav
M. Alam
Ahmed K. Farahat
Dipanjan Ghosh
Chetan Gupta
A. Ganguly
17
2
0
10 Jan 2023
Contrastive View Design Strategies to Enhance Robustness to Domain
  Shifts in Downstream Object Detection
Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection
Kyle Buettner
Adriana Kovashka
22
2
0
09 Dec 2022
Teaching Matters: Investigating the Role of Supervision in Vision
  Transformers
Teaching Matters: Investigating the Role of Supervision in Vision Transformers
Matthew Walmer
Saksham Suri
Kamal Gupta
Abhinav Shrivastava
35
33
0
07 Dec 2022
CroCo v2: Improved Cross-view Completion Pre-training for Stereo
  Matching and Optical Flow
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow
Philippe Weinzaepfel
Thomas Lucas
Vincent Leroy
Yohann Cabon
Vaibhav Arora
Romain Brégier
G. Csurka
L. Antsfeld
Boris Chidlovskii
Jérôme Revaud
ViT
20
80
0
18 Nov 2022
Far Away in the Deep Space: Dense Nearest-Neighbor-Based
  Out-of-Distribution Detection
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection
Silvio Galesso
Max Argus
Thomas Brox
UQCV
25
11
0
12 Nov 2022
Rethinking Prototypical Contrastive Learning through Alignment,
  Uniformity and Correlation
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation
Shentong Mo
Zhun Sun
Chao Li
15
11
0
18 Oct 2022
Correlation between Alignment-Uniformity and Performance of Dense
  Contrastive Representations
Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations
Jong Hak Moon
Wonjae Kim
E. Choi
18
3
0
17 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision
  Transformers
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
23
1
0
16 Oct 2022
Improving Molecular Pretraining with Complementary Featurizations
Improving Molecular Pretraining with Complementary Featurizations
Yanqiao Zhu
Dingshuo Chen
Yuanqi Du
Yingze Wang
Qiang Liu
Shu Wu
AI4CE
33
6
0
29 Sep 2022
Understanding Collapse in Non-Contrastive Siamese Representation
  Learning
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
45
33
0
29 Sep 2022
Measuring the Interpretability of Unsupervised Representations via
  Quantized Reverse Probing
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
Iro Laina
Yuki M. Asano
Andrea Vedaldi
SSL
21
8
0
07 Sep 2022
Multimodal contrastive learning for remote sensing tasks
Multimodal contrastive learning for remote sensing tasks
Umang Jain
Alex Wilson
Varun Gulshan
SSL
36
24
0
06 Sep 2022
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