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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 / 738 papers shown
Title
Learning by Sorting: Self-supervised Learning with Group Ordering
  Constraints
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
Nina Shvetsova
Felix Petersen
Anna Kukleva
Bernt Schiele
Hilde Kuehne
SSL
49
11
0
05 Jan 2023
PCRLv2: A Unified Visual Information Preservation Framework for
  Self-supervised Pre-training in Medical Image Analysis
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou
Chi-Ken Lu
Chaoqi Chen
Sibei Yang
Yizhou Yu
42
53
0
02 Jan 2023
The Forward-Forward Algorithm: Some Preliminary Investigations
The Forward-Forward Algorithm: Some Preliminary Investigations
Geoffrey E. Hinton
11
258
0
27 Dec 2022
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action
  Segmentation
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation
Dipika Singhania
R. Rahaman
Angela Yao
14
28
0
20 Dec 2022
Randomized Quantization: A Generic Augmentation for Data Agnostic
  Self-supervised Learning
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
Huimin Wu
Chenyang Lei
Xiao Sun
Pengju Wang
Qifeng Chen
Kwang-Ting Cheng
Stephen Lin
Zhirong Wu
MQ
32
5
0
19 Dec 2022
Feature Dropout: Revisiting the Role of Augmentations in Contrastive
  Learning
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
Alex Tamkin
Margalit Glasgow
Xiluo He
Noah D. Goodman
SSL
19
7
0
16 Dec 2022
SEPT: Towards Scalable and Efficient Visual Pre-Training
SEPT: Towards Scalable and Efficient Visual Pre-Training
Yiqi Lin
Huabin Zheng
Huaping Zhong
Jinjing Zhu
Weijia Li
Conghui He
Lin Wang
30
2
0
11 Dec 2022
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
Yachao Zhang
Zhonghao Li
Yuan Xie
Yanyun Qu
Cuihua Li
Tao Mei
3DPC
24
94
0
09 Dec 2022
Teaching Matters: Investigating the Role of Supervision in Vision
  Transformers
Teaching Matters: Investigating the Role of Supervision in Vision Transformers
Matthew Walmer
Saksham Suri
Kamal Gupta
Abhinav Shrivastava
38
33
0
07 Dec 2022
Semi-Supervised Representative Region Texture Extraction of Façade
Semi-Supervised Representative Region Texture Extraction of Façade
Zhen Ni
Guitao Cao
Ye Duan
CVBM
19
0
0
05 Dec 2022
Visual Question Answering From Another Perspective: CLEVR Mental
  Rotation Tests
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
Christopher Beckham
Martin Weiss
Florian Golemo
S. Honari
Derek Nowrouzezahrai
C. Pal
28
7
0
03 Dec 2022
Parametric Information Maximization for Generalized Category Discovery
Parametric Information Maximization for Generalized Category Discovery
Florent Chiaroni
Jose Dolz
Imtiaz Masud Ziko
A. Mitiche
Ismail Ben Ayed
27
16
0
01 Dec 2022
A Theoretical Study of Inductive Biases in Contrastive Learning
A Theoretical Study of Inductive Biases in Contrastive Learning
Jeff Z. HaoChen
Tengyu Ma
UQCV
SSL
33
31
0
27 Nov 2022
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph
  Alignment
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment
Yuchen Ma
Yanbei Chen
Zeynep Akata
28
8
0
23 Nov 2022
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain
  Specific Foundation Model
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model
Syed Muhammad Anwar
Abhijeet Parida
Sara Atito
Muhammad Awais
G. Nino
Josef Kitler
M. Linguraru
ViT
SSL
OOD
29
6
0
23 Nov 2022
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Honggu Zhou
Xiaogang Peng
Jiawei Mao
Zizhao Wu
Ming Zeng
3DPC
14
3
0
22 Nov 2022
Weighted Ensemble Self-Supervised Learning
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan
Saurabh Singh
Warren Morningstar
Alexander A. Alemi
Sergey Ioffe
Ian S. Fischer
Joshua V. Dillon
FedML
24
15
0
18 Nov 2022
Self-Supervised Visual Representation Learning via Residual Momentum
Self-Supervised Visual Representation Learning via Residual Momentum
T. Pham
Axi Niu
Zhang Kang
Sultan Rizky Hikmawan Madjid
Jiajing Hong
Daehyeok Kim
Joshua Tian Jin Tee
Chang-Dong Yoo
SSL
46
6
0
17 Nov 2022
Robust Alzheimer's Progression Modeling using Cross-Domain
  Self-Supervised Deep Learning
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
Saba Dadsetan
Mohsen Hejrati
Shandong Wu
Somaye Hashemifar
OOD
13
0
0
15 Nov 2022
Homomorphic Self-Supervised Learning
Homomorphic Self-Supervised Learning
Thomas Anderson Keller
Xavier Suau
Luca Zappella
SSL
19
2
0
15 Nov 2022
Exploiting Contrastive Learning and Numerical Evidence for Confusing
  Legal Judgment Prediction
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
Leilei Gan
Baokui Li
Kun Kuang
Yating Zhang
Lei Wang
A. Luu
Yi-feng Yang
Fei Wu
AILaw
11
6
0
15 Nov 2022
Masked Reconstruction Contrastive Learning with Information Bottleneck
  Principle
Masked Reconstruction Contrastive Learning with Information Bottleneck Principle
Ziwen Liu
Bonan Li
Congying Han
Tiande Guo
Xuecheng Nie
SSL
34
2
0
15 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
24
56
0
15 Nov 2022
False: False Negative Samples Aware Contrastive Learning for Semantic
  Segmentation of High-Resolution Remote Sensing Image
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image
Zhaoyang Zhang
Xuying Wang
X. Mei
Chao Tao
Haifeng Li
21
20
0
15 Nov 2022
Unsupervised Face Recognition using Unlabeled Synthetic Data
Unsupervised Face Recognition using Unlabeled Synthetic Data
Fadi Boutros
Marcel Klemt
Meiling Fang
Arjan Kuijper
Naser Damer
CVBM
22
32
0
14 Nov 2022
Feature Correlation-guided Knowledge Transfer for Federated
  Self-supervised Learning
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning
Yi Liu
Song Guo
Jie M. Zhang
Qihua Zhou
Yingchun Wang
Xiaohan Zhao
22
1
0
14 Nov 2022
ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual
  representations
ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual representations
Chanda Grover
Indra Deep Mastan
Debayan Gupta
VLM
CLIP
13
4
0
14 Nov 2022
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence
  Embeddings
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings
T. Klein
Moin Nabi
SSL
23
15
0
09 Nov 2022
Contrastive Weighted Learning for Near-Infrared Gaze Estimation
Adam Lee
26
0
0
06 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang
Yanchao Sun
Jiahao Su
Fengxiang He
Xinmei Tian
Furong Huang
Tianyi Zhou
Dacheng Tao
30
13
0
02 Nov 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
J. Mao
Itay Griniasty
Rubing Yang
H. Teoh
M. Transtrum
J. Sethna
Pratik Chaudhari
SSL
DRL
36
4
0
31 Oct 2022
Facial Action Unit Detection and Intensity Estimation from
  Self-supervised Representation
Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation
Bowen Ma
Rudong An
Wei Zhang
Yu-qiong Ding
Zeng Zhao
Rongsheng Zhang
Tangjie Lv
Changjie Fan
Zhipeng Hu
CVBM
55
19
0
28 Oct 2022
FUSSL: Fuzzy Uncertain Self Supervised Learning
FUSSL: Fuzzy Uncertain Self Supervised Learning
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
19
6
0
28 Oct 2022
CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo
  labeling for Optical Flow Estimation
CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation
Zhiqi Zhang
Nitin Bansal
Changjiang Cai
Pan Ji
Qingan Yan
Xiangyu Xu
Yi Tian Xu
32
5
0
25 Oct 2022
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution
  Queries
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries
Shikhar Jaiswal
Ravishankar Krishnaswamy
Ankit Garg
H. Simhadri
Sheshansh Agrawal
21
23
0
22 Oct 2022
LAVA: Label-efficient Visual Learning and Adaptation
LAVA: Label-efficient Visual Learning and Adaptation
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Mehrtash Harandi
Gholamreza Haffari
VLM
26
1
0
19 Oct 2022
Rethinking Prototypical Contrastive Learning through Alignment,
  Uniformity and Correlation
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation
Shentong Mo
Zhun Sun
Chao Li
15
11
0
18 Oct 2022
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase
  Organ Segmentation
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation
Ho Hin Lee
Yucheng Tang
Han Liu
Yubo Fan
L. Cai
Qi Yang
Xin Yu
Shunxing Bao
Yuankai Huo
Bennett A. Landman
27
1
0
16 Oct 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
28
1
0
16 Oct 2022
MICO: A Multi-alternative Contrastive Learning Framework for Commonsense
  Knowledge Representation
MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation
Ying Su
Zihao W. Wang
Tianqing Fang
Hongming Zhang
Yangqiu Song
Tong Zhang
29
15
0
14 Oct 2022
Invariance-adapted decomposition and Lasso-type contrastive learning
Invariance-adapted decomposition and Lasso-type contrastive learning
Masanori Koyama
Takeru Miyato
Kenji Fukumizu
12
1
0
13 Oct 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning
The Hidden Uniform Cluster Prior in Self-Supervised Learning
Mahmoud Assran
Randall Balestriero
Quentin Duval
Florian Bordes
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
SSL
49
46
0
13 Oct 2022
Decoding Visual Neural Representations by Multimodal Learning of
  Brain-Visual-Linguistic Features
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
Changde Du
Kaicheng Fu
Jinpeng Li
Huiguang He
VLM
39
67
0
13 Oct 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning
Self-Attention Message Passing for Contrastive Few-Shot Learning
Ojas Kishorkumar Shirekar
Ashutosh Kumar Singh
Hadi Jamali Rad
18
5
0
12 Oct 2022
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple
  Object Tracking
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
Tobias Fischer
Thomas E. Huang
Jiangmiao Pang
Linlu Qiu
Haofeng Chen
Trevor Darrell
F. I. F. Richard Yu
VOT
26
66
0
12 Oct 2022
Adversarial Contrastive Learning for Evidence-aware Fake News Detection
  with Graph Neural Networks
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks
Jun Wu
Weizhi Xu
Qiang Liu
Shu Wu
Liang Wang
GNN
34
18
0
11 Oct 2022
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma
  Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive
  Learning
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning
Luyi Han
Yunzhi Huang
T. Tan
R. Mann
22
7
0
09 Oct 2022
Robustness of Unsupervised Representation Learning without Labels
Robustness of Unsupervised Representation Learning without Labels
Aleksandar Petrov
Marta Z. Kwiatkowska
OffRL
50
2
0
08 Oct 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using
  Synthetic Data
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
Ching-Yun Ko
Pin-Yu Chen
Jeet Mohapatra
Payel Das
Lucani E. Daniel
19
3
0
06 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task
  Generalization
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju
Tong Zhao
Qianlong Wen
Wenhao Yu
Neil Shah
Yanfang Ye
Chuxu Zhang
SSL
21
34
0
05 Oct 2022
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