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Learning deep representations by mutual information estimation and
  maximization

Learning deep representations by mutual information estimation and maximization

20 August 2018
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
    SSL
    DRL
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Papers citing "Learning deep representations by mutual information estimation and maximization"

50 / 515 papers shown
Title
CrIBo: Self-Supervised Learning via Cross-Image Object-Level
  Bootstrapping
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
Tim Lebailly
Thomas Stegmüller
Behzad Bozorgtabar
Jean-Philippe Thiran
Tinne Tuytelaars
SSL
52
6
0
11 Oct 2023
Transferable Availability Poisoning Attacks
Transferable Availability Poisoning Attacks
Yiyong Liu
Michael Backes
Xiao Zhang
AAML
19
3
0
08 Oct 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised
  Learning
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Thanh Nguyen
T. Pham
Chaoning Zhang
Tung M. Luu
Thang Vu
Chang D. Yoo
27
9
0
21 Sep 2023
Towards Fast and Accurate Image-Text Retrieval with Self-Supervised
  Fine-Grained Alignment
Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment
Jiamin Zhuang
Jing Yu
Yang Ding
Xiangyang Qu
Yue Hu
32
9
0
27 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Jingyao Wang
Changwen Zheng
22
2
0
21 Aug 2023
Learning Disentangled Representation with Mutual Information
  Maximization for Real-Time UAV Tracking
Learning Disentangled Representation with Mutual Information Maximization for Real-Time UAV Tracking
Xucheng Wang
Xiangyang Yang
Hengzhou Ye
Shuiwang Li
21
5
0
20 Aug 2023
MOLE: MOdular Learning FramEwork via Mutual Information Maximization
MOLE: MOdular Learning FramEwork via Mutual Information Maximization
Tianchao Li
Yulong Pei
30
0
0
15 Aug 2023
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning
  and Spatial Post-processing
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing
Bo Lin
Shoshanna Saxe
Timothy C. Y. Chan
HAI
43
0
0
15 Aug 2023
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese
  Structure Network
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
Zhibo Tain
Xiaolin Zhang
Peng Zhang
Kun Zhan
31
9
0
26 Jul 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised
  Learning of Motion and Content Features
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes
Jean Ponce
Yann LeCun
MDE
36
23
0
24 Jul 2023
DDNAS: Discretized Differentiable Neural Architecture Search for Text
  Classification
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification
Kuan-Yu Chen
Cheng Li
Kuo-Jung Lee
28
1
0
12 Jul 2023
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for
  Robust Audio-Visual Speech Recognition
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition
Yuchen Hu
Ruizhe Li
Cheng Chen
Chengwei Qin
Qiu-shi Zhu
E. Chng
29
5
0
18 Jun 2023
A brief review of contrastive learning applied to astrophysics
A brief review of contrastive learning applied to astrophysics
M. Huertas-Company
R. Sarmiento
J. Knapen
32
9
0
08 Jun 2023
Correlative Information Maximization: A Biologically Plausible Approach
  to Supervised Deep Neural Networks without Weight Symmetry
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt
C. Pehlevan
A. Erdogan
27
1
0
07 Jun 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
Shengchao Liu
Weitao Du
Zhiming Ma
Hongyu Guo
Jian Tang
26
30
0
28 May 2023
State Representation Learning Using an Unbalanced Atlas
State Representation Learning Using an Unbalanced Atlas
Li Meng
Morten Goodwin
Anis Yazidi
P. Engelstad
34
2
0
17 May 2023
How does Contrastive Learning Organize Images?
How does Contrastive Learning Organize Images?
Yunzhe Zhang
Yao Lu
Qi Xuan
SSL
29
0
0
17 May 2023
Policy Gradient Methods in the Presence of Symmetries and State
  Abstractions
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
Prakash Panangaden
S. Rezaei-Shoshtari
Rosie Zhao
D. Meger
Doina Precup
25
2
0
09 May 2023
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Johannes Lehner
Benedikt Alkin
Andreas Fürst
Elisabeth Rumetshofer
Lukas Miklautz
Sepp Hochreiter
23
18
0
20 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
23
1
0
19 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin
You Li
Ning Gui
Zhuopeng Xu
Zhiwu Yu
SSL
25
6
0
15 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
28
23
0
07 Apr 2023
VNE: An Effective Method for Improving Deep Representation by
  Manipulating Eigenvalue Distribution
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Jaeill Kim
Suhyun Kang
Duhun Hwang
Jungwook Shin
Wonjong Rhee
DRL
13
21
0
04 Apr 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander C. Li
Mihir Prabhudesai
Shivam Duggal
Ellis L Brown
Deepak Pathak
DiffM
VLM
52
225
0
28 Mar 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
34
30
0
27 Mar 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation
  Learning
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
Thomas Stegmüller
Tim Lebailly
Behzad Bozorgtabar
Tinne Tuytelaars
Jean-Philippe Thiran
32
15
0
23 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
AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design
  Patterns
AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns
Wenqian Zhao
Xufeng Yao
Ziyang Yu
Guojin Chen
Yuzhe Ma
Bei Yu
Martin D. F. Wong
22
17
0
15 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks
Self-Supervised Learning for Group Equivariant Neural Networks
Yusuke Mukuta
Tatsuya Harada
SSL
35
0
0
08 Mar 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
Yun Zhu
Jianhao Guo
Siliang Tang
22
28
0
24 Feb 2023
On Interpretable Approaches to Cluster, Classify and Represent
  Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion
  Theory
On Interpretable Approaches to Cluster, Classify and Represent Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion Theory
Kaige Lu
Avraham Chapman
35
0
0
21 Feb 2023
Transformed Distribution Matching for Missing Value Imputation
Transformed Distribution Matching for Missing Value Imputation
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
34
19
0
20 Feb 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
Yifei Wang
Yupan Wang
Zeyu Zhang
Song Yang
Kaiqi Zhao
Jiamou Liu
OOD
14
4
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
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
24
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
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
38
117
0
05 Feb 2023
Searching Large Neighborhoods for Integer Linear Programs with
  Contrastive Learning
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
Taoan Huang
Aaron Ferber
Yuandong Tian
B. Dilkina
Benoit Steiner
44
20
0
03 Feb 2023
PointSmile: Point Self-supervised Learning via Curriculum Mutual
  Information
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information
Xin Li
Mingqiang Wei
Songcan Chen
3DPC
SSL
32
3
0
30 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive
  Masking and Trainable Corruption
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption
Chengyu Sun
SSL
29
1
0
28 Jan 2023
Bayesian Self-Supervised Contrastive Learning
Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSL
BDL
26
4
0
27 Jan 2023
Task-Agnostic Graph Neural Network Evaluation via Adversarial
  Collaboration
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
Xiangyu Zhao
Hannes Stärk
Dominique Beaini
Yiren Zhao
Pietro Lio'
29
0
0
27 Jan 2023
Vision Learners Meet Web Image-Text Pairs
Vision Learners Meet Web Image-Text Pairs
Bingchen Zhao
Quan Cui
Hao Wu
Osamu Yoshie
Cheng Yang
Oisin Mac Aodha
VLM
24
5
0
17 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Yinghao Xu
Yujun Shen
Jiapeng Zhu
Ceyuan Yang
Bolei Zhou
28
2
0
12 Jan 2023
Learning the Relation between Similarity Loss and Clustering Loss in
  Self-Supervised Learning
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
Jidong Ge
YuXiang Liu
Jie Gui
Lanting Fang
Ming Lin
James T. Kwok
LiGuo Huang
B. Luo
SSL
16
5
0
08 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
52
0
02 Jan 2023
DGFont++: Robust Deformable Generative Networks for Unsupervised Font
  Generation
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation
Xinyuan Chen
Yangchen Xie
Li Sun
Yue Lu
24
4
0
30 Dec 2022
GEDI: GEnerative and DIscriminative Training for Self-Supervised
  Learning
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
20
9
0
27 Dec 2022
Similarity Contrastive Estimation for Image and Video Soft Contrastive
  Self-Supervised Learning
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
SSL
19
6
0
21 Dec 2022
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
Zhen Wang
K. Liang
Wenxuan Tu
Liangjun Li
Jingcan Duan
Cancan Chen
33
101
0
16 Dec 2022
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