ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.13149
  4. Cited By
On Mutual Information in Contrastive Learning for Visual Representations
v1v2 (latest)

On Mutual Information in Contrastive Learning for Visual Representations

27 May 2020
Mike Wu
Chengxu Zhuang
Milan Mossé
Daniel L. K. Yamins
Noah D. Goodman
    SSL
ArXiv (abs)PDFHTML

Papers citing "On Mutual Information in Contrastive Learning for Visual Representations"

50 / 59 papers shown
Contrastive Predictive Coding Done Right for Mutual Information Estimation
Contrastive Predictive Coding Done Right for Mutual Information Estimation
J. Jon Ryu
Pavan Yeddanapudi
Xiangxiang Xu
G. Wornell
SSL
319
0
0
29 Oct 2025
Mutual Information guided Visual Contrastive Learning
Mutual Information guided Visual Contrastive Learning
Hanyang Chen
Yanchao Yang
SSL
311
0
0
26 Oct 2025
Neural Mutual Information Estimation with Vector Copulas
Neural Mutual Information Estimation with Vector Copulas
Yanzhi Chen
Zijing Ou
Adrian Weller
Michael U. Gutmann
145
2
0
23 Oct 2025
Information Shapes Koopman Representation
Information Shapes Koopman Representation
Xiaoyuan Cheng
Wenxuan Yuan
Yiming Yang
Yuanzhao Zhang
Sibo Cheng
Yi He
Zhuo Sun
105
1
0
14 Oct 2025
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
Penglong Zhai
Yifang Yuan
Fanyi Di
Jie Li
Y. Liu
Chen Li
Jie Huang
S. Wang
Yao Xu
X. Li
205
1
0
20 Jun 2025
A Mathematical Perspective On Contrastive Learning
A Mathematical Perspective On Contrastive Learning
Ricardo Baptista
Andrew Stuart
S. D. Tran
180
0
0
30 May 2025
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
Jingyi Cui
Hongwei Wen
Yisen Wang
SSL
147
1
0
28 May 2025
Your Image is Secretly the Last Frame of a Pseudo Video
Your Image is Secretly the Last Frame of a Pseudo Video
Wenlong Chen
Wenlin Chen
Lapo Rastrelli
Yingzhen Li
DiffMVGen
377
0
0
26 Oct 2024
Variational Inference Failures Under Model Symmetries: Permutation
  Invariant Posteriors for Bayesian Neural Networks
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg
Tycho F. A. van der Ouderaa
Mark van der Wilk
Y. Gal
AAML
334
6
0
10 Aug 2024
InfoNCE: Identifying the Gap Between Theory and Practice
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
490
27
0
28 Jun 2024
Towards an Improved Understanding and Utilization of Maximum Manifold
  Capacity Representations
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Rylan Schaeffer
Victor Lecomte
Dhruv Pai
Andres Carranza
Berivan Isik
...
Yann LeCun
SueYeon Chung
Andrey Gromov
Ravid Shwartz-Ziv
Sanmi Koyejo
273
9
0
13 Jun 2024
A Mutual Information Perspective on Federated Contrastive Learning
A Mutual Information Perspective on Federated Contrastive LearningInternational Conference on Learning Representations (ICLR), 2024
Christos Louizos
M. Reisser
Denis Korzhenkov
SSLFedML
294
5
0
03 May 2024
Machine Unlearning for Image-to-Image Generative Models
Machine Unlearning for Image-to-Image Generative Models
Guihong Li
Hsiang Hsu
Chun-Fu Chen
R. Marculescu
MUVLM
352
47
0
01 Feb 2024
Invariant Anomaly Detection under Distribution Shifts: A Causal
  Perspective
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
João B. S. Carvalho
Mengtao Zhang
Robin Geyer
C. Jiménez
J. M. Buhmann
211
11
0
21 Dec 2023
Self-Supervised Learning of Representations for Space Generates
  Multi-Modular Grid Cells
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid CellsNeural Information Processing Systems (NeurIPS), 2023
Rylan Schaeffer
Mikail Khona
Tzuhsuan Ma
Cristobal Eyzaguirre
Sanmi Koyejo
Ila Rani Fiete
SSL
186
33
0
04 Nov 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series
  in Contrastive Learning
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive LearningNeural Information Processing Systems (NeurIPS), 2023
B. U. Demirel
Christian Holz
AI4TS
256
34
0
23 Sep 2023
Composition-contrastive Learning for Sentence Embeddings
Composition-contrastive Learning for Sentence EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Sachin Chanchani
Ruihong Huang
286
24
0
14 Jul 2023
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Factorized Contrastive Learning: Going Beyond Multi-view RedundancyNeural Information Processing Systems (NeurIPS), 2023
Paul Pu Liang
Zihao Deng
Martin Q. Ma
James Zou
Louis-Philippe Morency
Ruslan Salakhutdinov
SSL
309
88
0
08 Jun 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
273
3
0
02 Apr 2023
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for
  Histopathology
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for HistopathologyNature Communications (Nat. Commun.), 2023
Ramin Nakhli
Allen W. Zhang
Katherine Rich
Amirali Darbandsari
Elahe Shenasa
...
K. Milne
J. McAlpine
B. Nelson
C. Gilks
A. Bashashati
166
13
0
08 Mar 2023
Multispectral Contrastive Learning with Viewmaker Networks
Multispectral Contrastive Learning with Viewmaker Networks
Jasmine Bayrooti
Noah D. Goodman
Alex Tamkin
248
1
0
11 Feb 2023
Evaluating Self-Supervised Learning via Risk Decomposition
Evaluating Self-Supervised Learning via Risk DecompositionInternational Conference on Machine Learning (ICML), 2023
Yann Dubois
Tatsunori Hashimoto
Abigail Z. Jacobs
284
9
0
06 Feb 2023
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence
  Embeddings
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
T. Klein
Moin Nabi
SSL
225
21
0
09 Nov 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
212
1
0
16 Oct 2022
Improving Self-Supervised Learning by Characterizing Idealized
  Representations
Improving Self-Supervised Learning by Characterizing Idealized RepresentationsNeural Information Processing Systems (NeurIPS), 2022
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Abigail Z. Jacobs
SSL
306
46
0
13 Sep 2022
Is a Caption Worth a Thousand Images? A Controlled Study for
  Representation Learning
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning
Shibani Santurkar
Yann Dubois
Rohan Taori
Abigail Z. Jacobs
Tatsunori Hashimoto
CLIPVLM
201
43
0
15 Jul 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Consensus Learning for Cooperative Multi-Agent Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
281
22
0
06 Jun 2022
Rethinking the Augmentation Module in Contrastive Learning: Learning
  Hierarchical Augmentation Invariance with Expanded Views
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded ViewsComputer Vision and Pattern Recognition (CVPR), 2022
Junbo Zhang
Kaisheng Ma
244
57
0
01 Jun 2022
Multiplexed Immunofluorescence Brain Image Analysis Using
  Self-Supervised Dual-Loss Adaptive Masked Autoencoder
Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder
S. Ly
Bai Lin
Hung Q. Vo
D. Maric
B. Roysam
H. V. Nguyen
204
0
0
10 May 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic
  Perspective
Discriminability-Transferability Trade-Off: An Information-Theoretic PerspectiveEuropean Conference on Computer Vision (ECCV), 2022
Quan Cui
Bingchen Zhao
Zhao-Min Chen
Borui Zhao
Renjie Song
Jiajun Liang
Boyan Zhou
Osamu Yoshie
337
19
0
08 Mar 2022
Crafting Better Contrastive Views for Siamese Representation Learning
Crafting Better Contrastive Views for Siamese Representation LearningComputer Vision and Pattern Recognition (CVPR), 2022
Xiang Peng
Kai Wang
Zheng Hua Zhu
Mang Wang
Yang You
SSL
294
120
0
07 Feb 2022
Contrastive and Selective Hidden Embeddings for Medical Image
  Segmentation
Contrastive and Selective Hidden Embeddings for Medical Image SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Zhuowei Li
Zihao Liu
Zhiqiang Hu
Qing Xia
Ruiqin Xiong
Shaoting Zhang
Dimitris N. Metaxas
Tingting Jiang
SSL
197
10
0
21 Jan 2022
CLIP-Lite: Information Efficient Visual Representation Learning with
  Language Supervision
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
A. Shrivastava
Ramprasaath R. Selvaraju
Nikhil Naik
Vicente Ordonez
VLMCLIP
203
8
0
14 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
OODSSL
225
27
0
10 Dec 2021
Contrastive Representation Learning with Trainable Augmentation Channel
Contrastive Representation Learning with Trainable Augmentation Channel
Masanori Koyama
Kentaro Minami
Takeru Miyato
Y. Gal
157
1
0
15 Nov 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
197
23
0
15 Oct 2021
Rethinking Self-Supervision Objectives for Generalizable Coherence
  Modeling
Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling
Prathyusha Jwalapuram
Shafiq Joty
Xiang Lin
241
18
0
14 Oct 2021
Temperature as Uncertainty in Contrastive Learning
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang
Mike Wu
Jasmine Bayrooti
Noah D. Goodman
UQCV
317
36
0
08 Oct 2021
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Yujie Pan
Jiangchao Yao
Bo Han
Kunyang Jia
Ya Zhang
Hongxia Yang
MQ
188
19
0
27 Sep 2021
Contrastive Multimodal Fusion with TupleInfoNCE
Contrastive Multimodal Fusion with TupleInfoNCE
Yunze Liu
Qingnan Fan
Shanghang Zhang
Hao Dong
Thomas Funkhouser
Li Yi
183
80
0
06 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
227
20
0
05 Jul 2021
Robust Representation Learning via Perceptual Similarity Metrics
Robust Representation Learning via Perceptual Similarity MetricsInternational Conference on Machine Learning (ICML), 2021
Saeid Asgari Taghanaki
Kristy Choi
Amir Khasahmadi
Anirudh Goyal
SSL
131
29
0
11 Jun 2021
Conditional Contrastive Learning for Improving Fairness in
  Self-Supervised Learning
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning
Martin Q. Ma
Yifan Hao
Paul Pu Liang
Han Zhao
Kun Zhang
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
265
19
0
05 Jun 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
CoDeGAN: Contrastive Disentanglement for Generative Adversarial NetworkNeurocomputing (Neurocomputing), 2021
Lili Pan
Peijun Tang
Zhiyong Chen
Zenglin Xu
GANDRL
214
7
0
05 Mar 2021
Semantically-Conditioned Negative Samples for Efficient Contrastive
  Learning
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning
J. Ó. Neill
Danushka Bollegala
160
6
0
12 Feb 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
458
539
0
28 Jan 2021
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive LossComputer Vision and Pattern Recognition (CVPR), 2020
Feng Wang
Huaping Liu
SSL
487
805
0
15 Dec 2020
Parameter Efficient Multimodal Transformers for Video Representation
  Learning
Parameter Efficient Multimodal Transformers for Video Representation Learning
Sangho Lee
Youngjae Yu
Gunhee Kim
Thomas Breuel
Jan Kautz
Yale Song
ViT
275
89
0
08 Dec 2020
A Unified Mixture-View Framework for Unsupervised Representation
  Learning
A Unified Mixture-View Framework for Unsupervised Representation LearningBritish Machine Vision Conference (BMVC), 2020
Xiangxiang Chu
Xiaohang Zhan
Bo Zhang
SSL
179
1
0
26 Nov 2020
Combating the Instability of Mutual Information-based Losses via
  Regularization
Combating the Instability of Mutual Information-based Losses via RegularizationConference on Uncertainty in Artificial Intelligence (UAI), 2020
Kwanghee Choi
Siyeong Lee
AAML
393
6
0
16 Nov 2020
12
Next