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1906.00910
Cited By
Learning Representations by Maximizing Mutual Information Across Views
3 June 2019
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
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Papers citing
"Learning Representations by Maximizing Mutual Information Across Views"
50 / 877 papers shown
Title
Self-Supervised Video Representation Learning via Latent Time Navigation
Di Yang
Yaohui Wang
Quan Kong
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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
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
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
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
Alexandros Papadopoulos
A. Delopoulos
32
2
0
29 Apr 2023
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
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
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
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
Ravid Shwartz-Ziv
Yann LeCun
SSL
40
72
0
19 Apr 2023
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
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
Keumgang Cha
Junghoon Seo
Taekyung Lee
38
64
0
11 Apr 2023
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
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
Jaehoon Lee
Doyoung Yoon
Byeongmoon Ji
Kyungyul Kim
Sangheum Hwang
SSL
57
3
0
07 Apr 2023
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
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
Hongzhan Lin
Jing Ma
Ruichao Yang
Zhiwei Yang
Mingfei Cheng
36
2
0
04 Apr 2023
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
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
Yiqing Zhang
Xinming Huang
Ziming Zhang
36
4
0
21 Mar 2023
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
Imant Daunhawer
Alice Bizeul
Emanuele Palumbo
Alexander Marx
Julia E. Vogt
37
39
0
16 Mar 2023
NESS: Node Embeddings from Static SubGraphs
Talip Uçar
31
1
0
15 Mar 2023
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
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
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
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
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
Ruiqi Xian
Xijun Wang
Tianyi Zhou
37
10
0
05 Mar 2023
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
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
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
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
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
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
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
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
36
19
0
20 Feb 2023
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
Binyang Song
Ruilin Zhou
Faez Ahmed
AI4CE
42
40
0
14 Feb 2023
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
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
32
27
0
10 Feb 2023
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
Yann Dubois
Tatsunori Hashimoto
Percy Liang
14
9
0
06 Feb 2023
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
Yun Yue
Fangzhou Lin
Kazunori D Yamada
Ziming Zhang
SSL
35
18
0
02 Feb 2023
NoiseTransfer: Image Noise Generation with Contrastive Embeddings
Seunghwan Lee
Tae Hyun Kim
DiffM
32
6
0
31 Jan 2023
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
Ryan Humble
Zhe Zhang
F. O'Shea
Eric F. Darve
Daniel Ratner
24
1
0
26 Jan 2023
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