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Learning Representations by Maximizing Mutual Information Across Views

Learning Representations by Maximizing Mutual Information Across Views

3 June 2019
Philip Bachman
R. Devon Hjelm
William Buchwalter
    SSL
ArXivPDFHTML

Papers citing "Learning Representations by Maximizing Mutual Information Across Views"

50 / 877 papers shown
Title
Self-Supervised Video Representation Learning via Latent Time Navigation
Self-Supervised Video Representation Learning via Latent Time Navigation
Di Yang
Yaohui Wang
Quan Kong
A. Dantcheva
Lorenzo Garattoni
Gianpiero Francesca
F. Brémond
SSL
AI4TS
51
10
0
10 May 2023
Few-shot Action Recognition via Intra- and Inter-Video Information
  Maximization
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
Huabin Liu
W. Lin
Tieyuan Chen
Yuxi Li
Shuyuan Li
John See
44
5
0
10 May 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
37
4
0
05 May 2023
A Simplified Framework for Contrastive Learning for Node Representations
A Simplified Framework for Contrastive Learning for Node Representations
Ilgee Hong
Huy Tran
Claire Donnat
SSL
19
1
0
01 May 2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for
  Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Alexandros Papadopoulos
A. Delopoulos
32
2
0
29 Apr 2023
Unsupervised Synthetic Image Refinement via Contrastive Learning and
  Consistent Semantic-Structural Constraints
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints
Ganning Zhao
Ting-Li Shen
Suya You
C.-C. Jay Kuo
40
5
0
25 Apr 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
50
275
0
24 Apr 2023
Shuffle & Divide: Contrastive Learning for Long Text
Shuffle & Divide: Contrastive Learning for Long Text
Joonseok Lee
Seongho Joe
Kyoungwon Park
Bogun Kim
Ho. Kang
Jaeseon Park
Youngjune Gwon
17
0
0
19 Apr 2023
ContraCluster: Learning to Classify without Labels by Contrastive
  Self-Supervision and Prototype-Based Semi-Supervision
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
Seongho Joe
Byoungjip Kim
Ho. Kang
Kyoungwon Park
Bogun Kim
Jaeseon Park
Joonseok Lee
Youngjune Gwon
SSL
26
1
0
19 Apr 2023
To Compress or Not to Compress- Self-Supervised Learning and Information
  Theory: A Review
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review
Ravid Shwartz-Ziv
Yann LeCun
SSL
40
72
0
19 Apr 2023
Few Shot Semantic Segmentation: a review of methodologies, benchmarks,
  and open challenges
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges
Nicolás Catalano
Matteo Matteucci
VLM
32
3
0
12 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
30
2
0
12 Apr 2023
A Billion-scale Foundation Model for Remote Sensing Images
A Billion-scale Foundation Model for Remote Sensing Images
Keumgang Cha
Junghoon Seo
Taekyung Lee
38
64
0
11 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
27
28
0
10 Apr 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual
  Topic Modeling
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
Xiaobao Wu
Xinshuai Dong
Thong Nguyen
Chaoqun Liu
Liangming Pan
Anh Tuan Luu
36
23
0
07 Apr 2023
Rethinking Evaluation Protocols of Visual Representations Learned via
  Self-supervised Learning
Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning
Jaehoon Lee
Doyoung Yoon
Byeongmoon Ji
Kyungyul Kim
Sangheum Hwang
SSL
57
3
0
07 Apr 2023
Adaptive Data Augmentation for Contrastive Learning
Adaptive Data Augmentation for Contrastive Learning
Yu-Hui Zhang
He Zhu
Shan Yu
27
8
0
05 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
34
2
0
04 Apr 2023
A Unified Contrastive Transfer Framework with Propagation Structure for
  Boosting Low-Resource Rumor Detection
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection
Hongzhan Lin
Jing Ma
Ruichao Yang
Zhiwei Yang
Mingfei Cheng
36
2
0
04 Apr 2023
On the Stepwise Nature of Self-Supervised Learning
On the Stepwise Nature of Self-Supervised Learning
James B. Simon
Maksis Knutins
Liu Ziyin
Daniel Geisz
Abraham J. Fetterman
Joshua Albrecht
SSL
37
30
0
27 Mar 2023
MEDIMP: 3D Medical Images with clinical Prompts from limited tabular
  data for renal transplantation
MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation
Léo Milecki
Vicky Kalogeiton
Sylvain Bodard
D. Anglicheau
J. Correas
M. Timsit
Maria Vakalopoulou
MedIm
22
4
0
22 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
36
4
0
21 Mar 2023
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based
  Action Recognition
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition
Lilang Lin
Jiahang Zhang
Jiaying Liu
32
45
0
20 Mar 2023
Identifiability Results for Multimodal Contrastive Learning
Identifiability Results for Multimodal Contrastive Learning
Imant Daunhawer
Alice Bizeul
Emanuele Palumbo
Alexander Marx
Julia E. Vogt
37
39
0
16 Mar 2023
NESS: Node Embeddings from Static SubGraphs
NESS: Node Embeddings from Static SubGraphs
Talip Uçar
31
1
0
15 Mar 2023
MetaViewer: Towards A Unified Multi-View Representation
MetaViewer: Towards A Unified Multi-View Representation
Ren Wang
Haoliang Sun
Yuling Ma
Xiaoming Xi
Yilong Yin
54
9
0
11 Mar 2023
Ignorance is Bliss: Robust Control via Information Gating
Ignorance is Bliss: Robust Control via Information Gating
Manan Tomar
Riashat Islam
Matthew E. Taylor
Sergey Levine
Philip Bachman
41
9
0
10 Mar 2023
Understanding and Constructing Latent Modality Structures in Multi-modal
  Representation Learning
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning
Qian Jiang
Changyou Chen
Han Zhao
Liqun Chen
Q. Ping
S. D. Tran
Yi Xu
Belinda Zeng
Trishul Chilimbi
51
39
0
10 Mar 2023
MAST: Masked Augmentation Subspace Training for Generalizable
  Self-Supervised Priors
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Chen Huang
Hanlin Goh
Jiatao Gu
J. Susskind
SSL
OOD
60
6
0
07 Mar 2023
Learning Efficient Coding of Natural Images with Maximum Manifold
  Capacity Representations
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
T. Yerxa
Yilun Kuang
Eero P. Simoncelli
SueYeon Chung
16
0
0
06 Mar 2023
MITFAS: Mutual Information based Temporal Feature Alignment and Sampling
  for Aerial Video Action Recognition
MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action Recognition
Ruiqi Xian
Xijun Wang
Tianyi Zhou
37
10
0
05 Mar 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via
  Opposing Symmetries
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
Charlotte Loh
Seung-Jun Han
Shivchander Sudalairaj
Rumen Dangovski
Kai Xu
F. Wenzel
Marin Soljacic
Akash Srivastava
UQCV
39
1
0
04 Mar 2023
Extended Agriculture-Vision: An Extension of a Large Aerial Image
  Dataset for Agricultural Pattern Analysis
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis
Jing Wu
David Pichler
D. Marley
David Wilson
N. Hovakimyan
Jennifer Hobbs
53
22
0
04 Mar 2023
Self-Supervised Learning for Place Representation Generalization across
  Appearance Changes
Self-Supervised Learning for Place Representation Generalization across Appearance Changes
M. A. Musallam
Vincent Gaudillière
Djamila Aouada
SSL
43
2
0
04 Mar 2023
Learning Common Rationale to Improve Self-Supervised Representation for
  Fine-Grained Visual Recognition Problems
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
Yangyang Shu
Anton Van Den Hengel
Lingqiao Liu
SSL
38
14
0
03 Mar 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement
  Learning
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
Yuanying Cai
Chuheng Zhang
Wei Shen
Xuyun Zhang
Wenjie Ruan
Longbo Huang
OffRL
32
4
0
03 Mar 2023
An Information-Theoretic Perspective on Variance-Invariance-Covariance
  Regularization
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
Ravid Shwartz-Ziv
Randall Balestriero
Kenji Kawaguchi
Tim G. J. Rudner
Yann LeCun
38
23
0
01 Mar 2023
Quality-aware Pre-trained Models for Blind Image Quality Assessment
Quality-aware Pre-trained Models for Blind Image Quality Assessment
Kai Zhao
Kun Yuan
Ming-Ting Sun
Mading Li
Xingsen Wen
VLM
22
14
0
01 Mar 2023
Transformed Distribution Matching for Missing Value Imputation
Transformed Distribution Matching for Missing Value Imputation
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
36
19
0
20 Feb 2023
InfoNCE Loss Provably Learns Cluster-Preserving Representations
InfoNCE Loss Provably Learns Cluster-Preserving Representations
Advait Parulekar
Liam Collins
Karthikeyan Shanmugam
Aryan Mokhtari
Sanjay Shakkottai
SSL
34
20
0
15 Feb 2023
Multi-modal Machine Learning in Engineering Design: A Review and Future
  Directions
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions
Binyang Song
Ruilin Zhou
Faez Ahmed
AI4CE
42
40
0
14 Feb 2023
Contrastive Learning and the Emergence of Attributes Associations
Contrastive Learning and the Emergence of Attributes Associations
D. Nissani
22
1
0
12 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
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
32
27
0
10 Feb 2023
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
70
61
0
09 Feb 2023
Evaluating Self-Supervised Learning via Risk Decomposition
Evaluating Self-Supervised Learning via Risk Decomposition
Yann Dubois
Tatsunori Hashimoto
Percy Liang
14
9
0
06 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
43
118
0
05 Feb 2023
Hyperbolic Contrastive Learning
Hyperbolic Contrastive Learning
Yun Yue
Fangzhou Lin
Kazunori D Yamada
Ziming Zhang
SSL
35
18
0
02 Feb 2023
NoiseTransfer: Image Noise Generation with Contrastive Embeddings
NoiseTransfer: Image Noise Generation with Contrastive Embeddings
Seunghwan Lee
Tae Hyun Kim
DiffM
32
6
0
31 Jan 2023
Bayesian Self-Supervised Contrastive Learning
Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSL
BDL
29
4
0
27 Jan 2023
Coincident Learning for Unsupervised Anomaly Detection
Coincident Learning for Unsupervised Anomaly Detection
Ryan Humble
Zhe Zhang
F. O'Shea
Eric F. Darve
Daniel Ratner
24
1
0
26 Jan 2023
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