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A Survey on Contrastive Self-supervised Learning

A Survey on Contrastive Self-supervised Learning

31 October 2020
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
    SSL
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Papers citing "A Survey on Contrastive Self-supervised Learning"

50 / 477 papers shown
Title
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
32
3
0
17 Mar 2022
Consistent Representation Learning for Continual Relation Extraction
Consistent Representation Learning for Continual Relation Extraction
Kang Zhao
Hua Xu
Jian Yang
Kai Gao
CLL
31
51
0
05 Mar 2022
Contrastive Graph Convolutional Networks for Hardware Trojan Detection
  in Third Party IP Cores
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores
Nikhil Muralidhar
Abdullah Zubair
Nathanael R. Weidler
Ryan M. Gerdes
Naren Ramakrishnan
11
25
0
04 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
42
106
0
02 Mar 2022
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly
  Supervised Relation Extraction
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction
Dongyang Li
Taolin Zhang
Nan Hu
Chengyu Wang
Xiaofeng He
33
25
0
27 Feb 2022
Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain
  Exploration using Instance-Conditioned GANs
Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs
Furkan Ozcelik
Bhavin Choksi
Milad Mozafari
Leila Reddy
Rufin VanRullen
GAN
36
68
0
25 Feb 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Hao He
Kaiwen Zha
Dina Katabi
AAML
36
33
0
22 Feb 2022
Movies2Scenes: Using Movie Metadata to Learn Scene Representation
Movies2Scenes: Using Movie Metadata to Learn Scene Representation
Shixing Chen
Chundi Liu
Xiang Hao
Xiaohan Nie
Maxim Arap
Raffay Hamid
31
17
0
22 Feb 2022
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Pin-Yu Chen
VLM
109
59
0
22 Feb 2022
Survey on Self-supervised Representation Learning Using Image
  Transformations
Survey on Self-supervised Representation Learning Using Image Transformations
Muhammad Ali
S. Hashim
ViT
11
1
0
17 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey
Out-Of-Distribution Generalization on Graphs: A Survey
Haoyang Li
Xin Wang
Ziwei Zhang
Wenwu Zhu
OOD
CML
33
97
0
16 Feb 2022
Structure-aware Visualization Retrieval
Structure-aware Visualization Retrieval
Haotian Li
Yong Wang
Aoyu Wu
Huan Wei
Huamin Qu
34
25
0
12 Feb 2022
Similarity learning for wells based on logging data
Similarity learning for wells based on logging data
Evgenia Romanenkova
Alina Rogulina
A. Shakirov
N. Stulov
Alexey Zaytsev
L. Ismailova
D. Kovalev
Klemens Katterbauer
A. Alshehri
22
16
0
11 Feb 2022
Adults as Augmentations for Children in Facial Emotion Recognition with
  Contrastive Learning
Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning
M. Virgolin
A. D. Lorenzo
Tanja Alderliesten
Peter A. N. Bosman
13
0
0
10 Feb 2022
Understanding The Robustness of Self-supervised Learning Through Topic
  Modeling
Understanding The Robustness of Self-supervised Learning Through Topic Modeling
Zeping Luo
Shiyou Wu
C. Weng
Mo Zhou
Rong Ge
OOD
SSL
14
3
0
02 Feb 2022
Generalizing similarity in noisy setups: the DIBS phenomenon
Generalizing similarity in noisy setups: the DIBS phenomenon
Nayara Fonseca
V. Guidetti
24
0
0
30 Jan 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for
  Unsupervised Sentence Embeddings
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
Qiyu Wu
Chongyang Tao
Tao Shen
Can Xu
Xiubo Geng
Daxin Jiang
SSL
27
33
0
28 Jan 2022
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet
  Loss for Writer Independent Offline Signature Verification
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification
Soumitri Chattopadhyay
Siladittya Manna
Saumik Bhattacharya
Umapada Pal
25
23
0
25 Jan 2022
Self-directed Machine Learning
Self-directed Machine Learning
Wenwu Zhu
Xin Wang
P. Xie
19
6
0
04 Jan 2022
Scalable Deep Graph Clustering with Random-walk based Self-supervised
  Learning
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning
Xiang Li
Dong Li
R. Jin
G. Agrawal
R. Ramnath
GNN
27
4
0
31 Dec 2021
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
37
48
0
31 Dec 2021
Cooperative learning for multiview analysis
Cooperative learning for multiview analysis
D. Ding
Shuangning Li
B. Narasimhan
Robert Tibshirani
10
48
0
23 Dec 2021
Embedding-based Music Emotion Recognition Using Composite Loss
Embedding-based Music Emotion Recognition Using Composite Loss
Naoki Takashima
Frédéric Li
M. Grzegorzek
Kimiaki Shirahama
15
3
0
14 Dec 2021
Concept Representation Learning with Contrastive Self-Supervised
  Learning
Concept Representation Learning with Contrastive Self-Supervised Learning
Daniel T. Chang
SSL
8
4
0
10 Dec 2021
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for
  Spatial-Aware Visual Representations
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations
Zhenyu Li
Zehui Chen
Ang Li
Liangji Fang
Qinhong Jiang
Xianming Liu
Junjun Jiang
Bolei Zhou
Hang Zhao
3DPC
SSL
34
64
0
09 Dec 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
34
19
0
24 Nov 2021
Malfustection: Obfuscated Malware Detection and Malware Classification with Data Shortage by Combining Semi-Supervised and Contrastive Learning
Mohammad Mahdi Maghouli
Mohamadreza Fereydooni
M. Abdoos
M. Vahidi-Asl
AAML
21
3
0
18 Nov 2021
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Ruiyang Liu
Hai-Tao Zheng
Li Tao
Dun Liang
Haitao Zheng
89
97
0
07 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation
  Learning
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo
Tianhao Zhao
Yutian Lin
Bo Du
SSL
30
6
0
04 Nov 2021
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
Lin Wang
Kuk-Jin Yoon
21
87
0
20 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce
  applications in science
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Charlotte Loh
T. Christensen
Rumen Dangovski
Samuel Kim
Marin Soljacic
32
17
0
15 Oct 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du
Zehua Fu
Qingjie Liu
Yunhong Wang
93
130
0
14 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu
Zihao Dong
Yang Liu
NoLa
149
62
0
12 Oct 2021
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction
  using Electronic Health Records
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records
Chengxi Zang
Fei-Yue Wang
28
15
0
11 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
88
27
0
06 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis
The Power of Contrast for Feature Learning: A Theoretical Analysis
Wenlong Ji
Zhun Deng
Ryumei Nakada
James Zou
Linjun Zhang
SSL
55
49
0
06 Oct 2021
Multi-view Contrastive Self-Supervised Learning of Accounting Data
  Representations for Downstream Audit Tasks
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks
Marco Schreyer
Timur Sattarov
Damian Borth
MLAU
32
15
0
23 Sep 2021
Survey: Transformer based Video-Language Pre-training
Survey: Transformer based Video-Language Pre-training
Ludan Ruan
Qin Jin
VLM
ViT
72
44
0
21 Sep 2021
Chemical-Reaction-Aware Molecule Representation Learning
Chemical-Reaction-Aware Molecule Representation Learning
Hongwei Wang
Weijian Li
Xiaomeng Jin
Kyunghyun Cho
Heng Ji
Jiawei Han
Martin D. Burke
107
57
0
21 Sep 2021
Adversarial Training with Contrastive Learning in NLP
Adversarial Training with Contrastive Learning in NLP
Daniela N. Rim
DongNyeong Heo
Heeyoul Choi
AAML
28
13
0
19 Sep 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
37
177
0
17 Sep 2021
Self-learn to Explain Siamese Networks Robustly
Self-learn to Explain Siamese Networks Robustly
Chao Chen
Yifan Shen
Guixiang Ma
Xiangnan Kong
S. Rangarajan
Xi Zhang
Sihong Xie
48
5
0
15 Sep 2021
Exploring Task Difficulty for Few-Shot Relation Extraction
Exploring Task Difficulty for Few-Shot Relation Extraction
Jiale Han
Bo Cheng
Wei Lu
22
74
0
12 Sep 2021
Sensor Data Augmentation by Resampling for Contrastive Learning in Human
  Activity Recognition
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
Jinqiang Wang
Tao Zhu
Jingyuan Gan
L. Chen
Huansheng Ning
Yaping Wan
25
50
0
05 Sep 2021
Using Large Pre-Trained Models with Cross-Modal Attention for
  Multi-Modal Emotion Recognition
Using Large Pre-Trained Models with Cross-Modal Attention for Multi-Modal Emotion Recognition
Krishna D N Freshworks
26
11
0
22 Aug 2021
Contrastive Representations for Label Noise Require Fine-Tuning
Contrastive Representations for Label Noise Require Fine-Tuning
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
23
1
0
20 Aug 2021
Semi-supervised learning for joint SAR and multispectral land cover
  classification
Semi-supervised learning for joint SAR and multispectral land cover classification
Antonio Montanaro
D. Valsesia
Giulia Fracastoro
E. Magli
SSL
16
10
0
20 Aug 2021
Unsupervised Person Re-identification with Stochastic Training Strategy
Unsupervised Person Re-identification with Stochastic Training Strategy
Tianyang Liu
Yutian Lin
Bo Du
29
35
0
16 Aug 2021
Improving Music Performance Assessment with Contrastive Learning
Improving Music Performance Assessment with Contrastive Learning
Pavan Seshadri
Alexander Lerch
27
8
0
03 Aug 2021
Understanding Cognitive Fatigue from fMRI Scans with Self-supervised
  Learning
Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
F. Makedon
G. Wylie
14
6
0
28 Jun 2021
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