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Contrastive Multiview Coding

Contrastive Multiview Coding

13 June 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
    SSL
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Papers citing "Contrastive Multiview Coding"

50 / 474 papers shown
Title
Towards a Unified Framework of Contrastive Learning for Disentangled
  Representations
Towards a Unified Framework of Contrastive Learning for Disentangled Representations
Stefan Matthes
Zhiwei Han
Hao Shen
31
4
0
08 Nov 2023
Understanding the Effects of Projectors in Knowledge Distillation
Understanding the Effects of Projectors in Knowledge Distillation
Yudong Chen
Sen Wang
Jiajun Liu
Xuwei Xu
Frank de Hoog
Brano Kusy
Zi Huang
26
0
0
26 Oct 2023
Quality Diversity through Human Feedback: Towards Open-Ended
  Diversity-Driven Optimization
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
Lijie Ding
Jenny Zhang
Jeff Clune
Lee Spector
Joel Lehman
EGVM
24
7
0
18 Oct 2023
MuseChat: A Conversational Music Recommendation System for Videos
MuseChat: A Conversational Music Recommendation System for Videos
Zhikang Dong
Bin Chen
Xiulong Liu
Paweł Polak
Peng Zhang
LRM
37
26
0
10 Oct 2023
Transferable Availability Poisoning Attacks
Transferable Availability Poisoning Attacks
Yiyong Liu
Michael Backes
Xiao Zhang
AAML
19
3
0
08 Oct 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised
  Learning
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Thanh Nguyen
T. Pham
Chaoning Zhang
T. Luu
Thang Vu
Chang-Dong Yoo
23
9
0
21 Sep 2023
MS-Net: A Multi-modal Self-supervised Network for Fine-Grained
  Classification of Aircraft in SAR Images
MS-Net: A Multi-modal Self-supervised Network for Fine-Grained Classification of Aircraft in SAR Images
Bingying Yue
Jianhao Li
Hao Shi
Yupei Wang
Honghu Zhong
24
0
0
28 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Wenwen Qiang
Changwen Zheng
22
2
0
21 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent
  Space Reconstruction
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
Yucheng Shi
Yushun Dong
Qiaoyu Tan
Jundong Li
Ninghao Liu
40
24
0
18 Aug 2023
Disentangling Multi-view Representations Beyond Inductive Bias
Disentangling Multi-view Representations Beyond Inductive Bias
Guanzhou Ke
Yang Yu
Guoqing Chao
Xiaoli Wang
Chenyang Xu
Shengfeng He
23
8
0
03 Aug 2023
Stochastic positional embeddings improve masked image modeling
Stochastic positional embeddings improve masked image modeling
Amir Bar
Florian Bordes
Assaf Shocher
Mahmoud Assran
Pascal Vincent
Nicolas Ballas
Trevor Darrell
Amir Globerson
Yann LeCun
11
3
0
31 Jul 2023
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation
Zuyan Liu
Gaojie Lin
Congyi Wang
Min Zheng
Feida Zhu
3DH
17
0
0
29 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models
Image Captions are Natural Prompts for Text-to-Image Models
Shiye Lei
Hao Chen
Senyang Zhang
Bo-Lu Zhao
Dacheng Tao
VLM
24
19
0
17 Jul 2023
Relation-aware graph structure embedding with co-contrastive learning
  for drug-drug interaction prediction
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction
Mengying Jiang
Guizhong Liu
Biao Zhao
Yuanchao Su
Weiqiang Jin
CML
20
7
0
04 Jul 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
24
22
0
16 Jun 2023
A brief review of contrastive learning applied to astrophysics
A brief review of contrastive learning applied to astrophysics
M. Huertas-Company
R. Sarmiento
J. Knapen
29
9
0
08 Jun 2023
Learning Representations without Compositional Assumptions
Learning Representations without Compositional Assumptions
Tennison Liu
Jeroen Berrevoets
Zhaozhi Qian
M. Schaar
OCL
SSL
30
1
0
31 May 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing
  Flows and Correlation Analysis
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis
Agathe Senellart
Clément Chadebec
S. Allassonnière
DRL
32
1
0
19 May 2023
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual
  Representation Learning
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning
Alvzbveta Manová
A. Durrant
Georgios Leontidis
SSL
19
4
0
19 May 2023
GCFAgg: Global and Cross-view Feature Aggregation for Multi-view
  Clustering
GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering
Weiqing Yan
Yuanyang Zhang
Chenlei Lv
Chang Tang
Guanghui Yue
Liang Liao
Weisi Lin
25
43
0
11 May 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized
  Category Discovery
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
Bingchen Zhao
Xin Wen
Kai Han
33
46
0
10 May 2023
Self-supervised Learning by View Synthesis
Self-supervised Learning by View Synthesis
Shaoteng Liu
Xiangyu Zhang
T. Hu
Jiaya Jia
3DV
ViT
40
1
0
22 Apr 2023
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model,
  Data, and Training
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
Hao Fei
Tat-Seng Chua
Chenliang Li
Donghong Ji
Meishan Zhang
Yafeng Ren
19
39
0
19 Apr 2023
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
Wenke Xia
Xingjian Li
Andong Deng
Haoyi Xiong
Dejing Dou
Di Hu
11
4
0
16 Apr 2023
Looking Similar, Sounding Different: Leveraging Counterfactual
  Cross-Modal Pairs for Audiovisual Representation Learning
Looking Similar, Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
Nikhil Singh
Chih-Wei Wu
Iroro Orife
Mahdi M. Kalayeh
23
2
0
12 Apr 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary
  Visual Recognition
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
Shuhuai Ren
Aston Zhang
Yi Zhu
Shuai Zhang
Shuai Zheng
Mu Li
Alexander J. Smola
Xu Sun
VPVLM
VLM
21
28
0
10 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised
  Learning
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
Ajinkya Tejankar
Maziar Sanjabi
Qifan Wang
Sinong Wang
Hamed Firooz
Hamed Pirsiavash
L Tan
AAML
25
19
0
04 Apr 2023
Focalized Contrastive View-invariant Learning for Self-supervised
  Skeleton-based Action Recognition
Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition
Qianhui Men
Edmond S. L. Ho
Hubert P. H. Shum
Howard Leung
SSL
18
19
0
03 Apr 2023
Constructive Assimilation: Boosting Contrastive Learning Performance
  through View Generation Strategies
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Ligong Han
Seung-Jun Han
Shivchander Sudalairaj
Charlotte Loh
Rumen Dangovski
...
Pulkit Agrawal
Dimitris N. Metaxas
Leonid Karlinsky
Tsui-Wei Weng
Akash Srivastava
19
1
0
02 Apr 2023
Investigating and Mitigating the Side Effects of Noisy Views for
  Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
Jie Xu
Yazhou Ren
Xiaolong Wang
Lei Feng
Zheng Zhang
Gang Niu
Xiao-lan Zhu
27
7
0
30 Mar 2023
Kaizen: Practical Self-supervised Continual Learning with Continual
  Fine-tuning
Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Cecilia Mascolo
Akhil Mathur
CLL
22
10
0
30 Mar 2023
Soft Neighbors are Positive Supporters in Contrastive Visual
  Representation Learning
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Chongjian Ge
Jiangliu Wang
Zhan Tong
Shoufa Chen
Yibing Song
Ping Luo
SSL
22
27
0
30 Mar 2023
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless
  Fingerprinting
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting
Tengfei Huang
T. Dahanayaka
Kanchana Thilakarathna
Philip H. W. Leong
H. El Gamal
22
2
0
28 Mar 2023
Hybrid Augmented Automated Graph Contrastive Learning
Hybrid Augmented Automated Graph Contrastive Learning
Yifu Chen
Qianqian Ren
Liu Yong
31
1
0
24 Mar 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex
  Constraints for Multimodel Image Alignment
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
Yiqing Zhang
Xinming Huang
Ziming Zhang
34
4
0
21 Mar 2023
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with
  Benchmarks Using Supervised and Self-supervised Learning
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
Shuchang Shen
Sachith Seneviratne
Xinye Wanyan
M. Kirley
35
13
0
13 Mar 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
H. Shen
TTA
21
94
0
23 Feb 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and
  Anatomy-specific Representation for 3D Medical Images
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images
K. Yu
Li Sun
Junxiang Chen
Maxwell Reynolds
Tigmanshu Chaudhary
Kayhan Batmanghelich
17
1
0
21 Feb 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of
  Self-Supervision, Reconstruction, Projector Head
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
Randall Balestriero
38
3
0
20 Feb 2023
Self-Supervised Representation Learning from Temporal Ordering of
  Automated Driving Sequences
Self-Supervised Representation Learning from Temporal Ordering of Automated Driving Sequences
Christopher Lang
Alexander Braun
Lars Schillingmann
Karsten Haug
Abhinav Valada
SSL
17
10
0
17 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
21
27
0
10 Feb 2023
Multi-view Feature Extraction based on Dual Contrastive Head
Multi-view Feature Extraction based on Dual Contrastive Head
Hongjie Zhang
18
1
0
08 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi
Runpei Dong
Guo Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Li Yi
32
117
0
05 Feb 2023
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for
  Semi-Supervised Skeleton-based Action Recognition
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition
Binqian Xu
Xiangbo Shu
13
55
0
05 Feb 2023
Contrastive Learning with Consistent Representations
Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
24
5
0
03 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out
  Properties
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han
Jian-wei Liu
CLL
30
7
0
02 Feb 2023
Contrast and Clustering: Learning Neighborhood Pair Representation for
  Source-free Domain Adaptation
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation
Yuqi Chen
Xiangbin Zhu
Yonggang Li
Yingjian Li
H. Fang
SSL
13
3
0
31 Jan 2023
Leveraging the Third Dimension in Contrastive Learning
Leveraging the Third Dimension in Contrastive Learning
Sumukh K Aithal
Anirudh Goyal
Alex Lamb
Yoshua Bengio
Michael C. Mozer
MDE
29
0
0
27 Jan 2023
Bayesian Self-Supervised Contrastive Learning
Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSL
BDL
16
4
0
27 Jan 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
34
2
0
26 Jan 2023
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