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Information Theory-Guided Heuristic Progressive Multi-View Coding
v1v2v3 (latest)

Information Theory-Guided Heuristic Progressive Multi-View Coding

21 August 2023
Jiangmeng Li
Hang Gao
Jingyao Wang
Changwen Zheng
ArXiv (abs)PDFHTML

Papers citing "Information Theory-Guided Heuristic Progressive Multi-View Coding"

50 / 59 papers shown
Title
VICRegL: Self-Supervised Learning of Local Visual Features
VICRegL: Self-Supervised Learning of Local Visual Features
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
93
125
0
04 Oct 2022
Modeling Multiple Views via Implicitly Preserving Global Consistency and
  Local Complementarity
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity
Jiangmeng Li
Jingyao Wang
Changwen Zheng
Fuchun Sun
Farid Razzak
Ji-Rong Wen
Hui Xiong
61
7
0
16 Sep 2022
Interventional Contrastive Learning with Meta Semantic Regularizer
Interventional Contrastive Learning with Meta Semantic Regularizer
Jingyao Wang
Jiangmeng Li
Changwen Zheng
Fuchun Sun
Hui Xiong
56
23
0
29 Jun 2022
MetAug: Contrastive Learning via Meta Feature Augmentation
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li
Jingyao Wang
Changwen Zheng
Fuchun Sun
Hui Xiong
83
24
0
10 Mar 2022
Robust Local Preserving and Global Aligning Network for Adversarial
  Domain Adaptation
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation
Jingyao Wang
Jiangmeng Li
C. Zheng
Fuchun Sun
Hui Xiong
34
25
0
08 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
467
7,757
0
11 Nov 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
276
2,826
0
15 Jun 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
329
2,347
0
04 Mar 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
255
4,067
0
20 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
77
119
0
09 Nov 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
143
780
0
09 Oct 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSLDRL
79
303
0
13 Aug 2020
Debiased Contrastive Learning
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
76
566
0
01 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
235
4,083
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
371
6,806
0
13 Jun 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Yifan Sun
Changmao Cheng
Yuhan Zhang
Chi Zhang
Liang Zheng
Zhongdao Wang
Yichen Wei
89
858
0
25 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
372
18,778
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
204
12,085
0
13 Nov 2019
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
183
4,449
0
07 Nov 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
169
2,403
0
13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
189
1,475
0
03 Jun 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
136
1,429
0
22 May 2019
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Yifan Wu
Ezra Winston
Divyansh Kaushik
Zachary Chase Lipton
58
127
0
05 Mar 2019
A Theoretical Analysis of Contrastive Unsupervised Representation
  Learning
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
SSL
100
779
0
25 Feb 2019
On Learning Invariant Representation for Domain Adaptation
On Learning Invariant Representation for Domain Adaptation
Haiying Zhao
Rémi Tachet des Combes
Kun Zhang
Geoffrey J. Gordon
OOD
66
157
0
27 Jan 2019
Cross and Learn: Cross-Modal Self-Supervision
Cross and Learn: Cross-Modal Self-Supervision
Nawid Sayed
Biagio Brattoli
Bjorn Ommer
SSL
66
78
0
09 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
94,891
0
11 Oct 2018
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Seiichi Kuroki
Nontawat Charoenphakdee
Han Bao
Junya Honda
Issei Sato
Masashi Sugiyama
63
58
0
11 Sep 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSLDRL
330
2,662
0
20 Aug 2018
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning
U. Büchler
Biagio Brattoli
Bjorn Ommer
OODSSL
77
114
0
30 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
88
1,898
0
15 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
327
10,302
0
10 Jul 2018
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
Yu-An Chung
W. Weng
S. Tong
James R. Glass
73
100
0
18 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
179
3,458
0
05 May 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
258
3,290
0
21 Mar 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition
CosFace: Large Margin Cosine Loss for Deep Face Recognition
Haobo Wang
Yitong Wang
Zheng Zhou
Xing Ji
Dihong Gong
Jin Zhou
Zhifeng Li
Wei Liu
CVBMMQ
133
2,507
0
29 Jan 2018
Additive Margin Softmax for Face Verification
Additive Margin Softmax for Face Verification
Feng Wang
Weiyang Liu
Haijun Liu
Jian Cheng
CVBM
93
1,273
0
17 Jan 2018
Representation Learning by Learning to Count
Representation Learning by Learning to Count
M. Noroozi
Hamed Pirsiavash
Paolo Favaro
SSL
74
369
0
22 Aug 2017
Unsupervised Representation Learning by Sorting Sequences
Unsupervised Representation Learning by Sorting Sequences
Hsin-Ying Lee
Jia-Bin Huang
Maneesh Kumar Singh
Ming-Hsuan Yang
SSLDRL
72
534
0
03 Aug 2017
Emergence of Invariance and Disentanglement in Deep Representations
Emergence of Invariance and Disentanglement in Deep Representations
Alessandro Achille
Stefano Soatto
OODDRL
94
476
0
05 Jun 2017
AutoDIAL: Automatic DomaIn Alignment Layers
AutoDIAL: Automatic DomaIn Alignment Layers
Fabio Maria Carlucci
Lorenzo Porzi
Barbara Caputo
Elisa Ricci
Samuel Rota Buló
96
315
0
26 Apr 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu
Yandong Wen
Zhiding Yu
Ming Li
Bhiksha Raj
Le Song
CVBM
234
2,801
0
26 Apr 2017
Time-Contrastive Networks: Self-Supervised Learning from Video
Time-Contrastive Networks: Self-Supervised Learning from Video
P. Sermanet
Corey Lynch
Yevgen Chebotar
Jasmine Hsu
Eric Jang
S. Schaal
Sergey Levine
SSL
103
826
0
23 Apr 2017
Unsupervised Learning by Predicting Noise
Unsupervised Learning by Predicting Noise
Piotr Bojanowski
Armand Joulin
OODSSL
56
295
0
18 Apr 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
172
4,826
0
26 Jan 2017
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
81
1,456
0
07 Dec 2016
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
126
1,721
0
01 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSLDRL
70
668
0
29 Nov 2016
Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Lluis Castrejon
Y. Aytar
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
SSLDRLAI4TS
67
167
0
25 Jul 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
92
142
0
31 May 2016
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