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2005.13149
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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
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Papers citing
"On Mutual Information in Contrastive Learning for Visual Representations"
50 / 59 papers shown
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Mutual Information guided Visual Contrastive Learning
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Yanchao Yang
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309
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26 Oct 2025
Neural Mutual Information Estimation with Vector Copulas
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Zijing Ou
Adrian Weller
Michael U. Gutmann
136
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23 Oct 2025
Information Shapes Koopman Representation
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Wenxuan Yuan
Yiming Yang
Yuanzhao Zhang
Sibo Cheng
Yi He
Zhuo Sun
102
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14 Oct 2025
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
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Yifang Yuan
Fanyi Di
Jie Li
Y. Liu
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Jie Huang
S. Wang
Yao Xu
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196
1
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20 Jun 2025
A Mathematical Perspective On Contrastive Learning
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Andrew Stuart
S. D. Tran
173
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30 May 2025
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
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Hongwei Wen
Yisen Wang
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140
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28 May 2025
Your Image is Secretly the Last Frame of a Pseudo Video
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Wenlin Chen
Lapo Rastrelli
Yingzhen Li
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377
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26 Oct 2024
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
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Tycho F. A. van der Ouderaa
Mark van der Wilk
Y. Gal
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328
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10 Aug 2024
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Patrik Reizinger
Attila Juhos
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Wieland Brendel
487
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28 Jun 2024
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
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Victor Lecomte
Dhruv Pai
Andres Carranza
Berivan Isik
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Ravid Shwartz-Ziv
Sanmi Koyejo
269
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0
13 Jun 2024
A Mutual Information Perspective on Federated Contrastive Learning
International Conference on Learning Representations (ICLR), 2024
Christos Louizos
M. Reisser
Denis Korzhenkov
SSL
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291
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03 May 2024
Machine Unlearning for Image-to-Image Generative Models
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Hsiang Hsu
Chun-Fu Chen
R. Marculescu
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352
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01 Feb 2024
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
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Mengtao Zhang
Robin Geyer
C. Jiménez
J. M. Buhmann
211
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21 Dec 2023
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
Neural Information Processing Systems (NeurIPS), 2023
Rylan Schaeffer
Mikail Khona
Tzuhsuan Ma
Cristobal Eyzaguirre
Sanmi Koyejo
Ila Rani Fiete
SSL
183
33
0
04 Nov 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
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B. U. Demirel
Christian Holz
AI4TS
253
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23 Sep 2023
Composition-contrastive Learning for Sentence Embeddings
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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283
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14 Jul 2023
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
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Paul Pu Liang
Zihao Deng
Martin Q. Ma
James Zou
Louis-Philippe Morency
Ruslan Salakhutdinov
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301
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08 Jun 2023
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
270
3
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02 Apr 2023
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology
Nature 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
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08 Mar 2023
Multispectral Contrastive Learning with Viewmaker Networks
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Noah D. Goodman
Alex Tamkin
248
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11 Feb 2023
Evaluating Self-Supervised Learning via Risk Decomposition
International Conference on Machine Learning (ICML), 2023
Yann Dubois
Tatsunori Hashimoto
Abigail Z. Jacobs
284
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06 Feb 2023
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
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Moin Nabi
SSL
214
21
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09 Nov 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
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Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
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212
1
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16 Oct 2022
Improving Self-Supervised Learning by Characterizing Idealized Representations
Neural Information Processing Systems (NeurIPS), 2022
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Abigail Z. Jacobs
SSL
305
46
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13 Sep 2022
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning
Shibani Santurkar
Yann Dubois
Rohan Taori
Abigail Z. Jacobs
Tatsunori Hashimoto
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201
43
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15 Jul 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
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Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
275
22
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06 Jun 2022
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views
Computer Vision and Pattern Recognition (CVPR), 2022
Junbo Zhang
Kaisheng Ma
237
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01 Jun 2022
Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder
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Bai Lin
Hung Q. Vo
D. Maric
B. Roysam
H. V. Nguyen
204
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10 May 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
European Conference on Computer Vision (ECCV), 2022
Quan Cui
Bingchen Zhao
Zhao-Min Chen
Borui Zhao
Renjie Song
Jiajun Liang
Boyan Zhou
Osamu Yoshie
335
19
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08 Mar 2022
Crafting Better Contrastive Views for Siamese Representation Learning
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Xiang Peng
Kai Wang
Zheng Hua Zhu
Mang Wang
Yang You
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294
120
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07 Feb 2022
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
IEEE 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
194
10
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21 Jan 2022
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
A. Shrivastava
Ramprasaath R. Selvaraju
Nikhil Naik
Vicente Ordonez
VLM
CLIP
200
8
0
14 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
217
27
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10 Dec 2021
Contrastive Representation Learning with Trainable Augmentation Channel
Masanori Koyama
Kentaro Minami
Takeru Miyato
Y. Gal
156
1
0
15 Nov 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Charlotte Loh
T. Christensen
Rumen Dangovski
Samuel Kim
Marin Soljacic
196
23
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15 Oct 2021
Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling
Prathyusha Jwalapuram
Shafiq Joty
Xiang Lin
238
18
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14 Oct 2021
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang
Mike Wu
Jasmine Bayrooti
Noah D. Goodman
UQCV
307
36
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08 Oct 2021
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Yujie Pan
Jiangchao Yao
Bo Han
Kunyang Jia
Ya Zhang
Hongxia Yang
MQ
177
19
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27 Sep 2021
Contrastive Multimodal Fusion with TupleInfoNCE
Yunze Liu
Qingnan Fan
Shanghang Zhang
Hao Dong
Thomas Funkhouser
Li Yi
183
79
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06 Jul 2021
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
S. Bucci
Francesco Cappio Borlino
Barbara Caputo
Tatiana Tommasi
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225
20
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Robust Representation Learning via Perceptual Similarity Metrics
International Conference on Machine Learning (ICML), 2021
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Kristy Choi
Amir Khasahmadi
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131
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Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning
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Yifan Hao
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Han Zhao
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Louis-Philippe Morency
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262
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CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
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212
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Semantically-Conditioned Negative Samples for Efficient Contrastive Learning
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160
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12 Feb 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
IEEE International Conference on Computer Vision (ICCV), 2021
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
451
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28 Jan 2021
Understanding the Behaviour of Contrastive Loss
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Huaping Liu
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472
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Parameter Efficient Multimodal Transformers for Video Representation Learning
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Youngjae Yu
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Thomas Breuel
Jan Kautz
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271
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Xiaohang Zhan
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175
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26 Nov 2020
Combating the Instability of Mutual Information-based Losses via Regularization
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Kwanghee Choi
Siyeong Lee
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389
6
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16 Nov 2020
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