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On Mutual Information Maximization for Representation Learning

On Mutual Information Maximization for Representation Learning

31 July 2019
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
    SSL
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Papers citing "On Mutual Information Maximization for Representation Learning"

50 / 152 papers shown
Title
Graph Contrastive Learning with Cross-view Reconstruction
Graph Contrastive Learning with Cross-view Reconstruction
Qianlong Wen
Z. Ouyang
Chunhui Zhang
Y. Qian
Yanfang Ye
Chuxu Zhang
SSL
27
6
0
16 Sep 2022
Improving Self-Supervised Learning by Characterizing Idealized
  Representations
Improving Self-Supervised Learning by Characterizing Idealized Representations
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Percy Liang
SSL
83
41
0
13 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
114
0
24 Aug 2022
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse
Sachit Menon
David M. Blei
Carl Vondrick
DRL
22
6
0
19 Jul 2022
Open-world Semantic Segmentation via Contrasting and Clustering
  Vision-Language Embedding
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding
Quan Liu
Youpeng Wen
Jianhua Han
Chunjing Xu
Hang Xu
Xiaodan Liang
VLM
26
67
0
18 Jul 2022
Factorizing Knowledge in Neural Networks
Factorizing Knowledge in Neural Networks
Xingyi Yang
Jingwen Ye
Xinchao Wang
MoMe
47
121
0
04 Jul 2022
Automated Cancer Subtyping via Vector Quantization Mutual Information
  Maximization
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization
Zheng Chen
Lingwei Zhu
Ziwei Yang
Takashi Matsubara
24
7
0
22 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
37
141
0
15 Jun 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on
  Hypergraphs
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Dongjin Lee
Kijung Shin
38
37
0
09 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Patrik Reizinger
Luigi Gresele
Jack Brady
Julius von Kügelgen
Dominik Zietlow
Bernhard Schölkopf
Georg Martius
Wieland Brendel
M. Besserve
DRL
35
19
0
06 Jun 2022
Hyperspherical Consistency Regularization
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
36
25
0
02 Jun 2022
Contrasting quadratic assignments for set-based representation learning
Contrasting quadratic assignments for set-based representation learning
A. Moskalev
Ivan Sosnovik
Volker Fischer
A. Smeulders
SSL
32
9
0
31 May 2022
Contrastive Representation Learning for 3D Protein Structures
Contrastive Representation Learning for 3D Protein Structures
Pedro Hermosilla
Timo Ropinski
3DV
51
51
0
31 May 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
24
4
0
18 Apr 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised
  Contrastive Learning
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Mayee F. Chen
Daniel Y. Fu
A. Narayan
Michael Zhang
Zhao Song
Kayvon Fatahalian
Christopher Ré
SSL
32
48
0
15 Apr 2022
A Unified Contrastive Energy-based Model for Understanding the
  Generative Ability of Adversarial Training
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
AAML
29
13
0
25 Mar 2022
Neural Graph Matching for Pre-training Graph Neural Networks
Neural Graph Matching for Pre-training Graph Neural Networks
Yupeng Hou
Binbin Hu
Wayne Xin Zhao
Qing Cui
Jun Zhou
Jianzhong Wen
20
8
0
03 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
42
106
0
02 Mar 2022
Understanding Contrastive Learning Requires Incorporating Inductive
  Biases
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Nikunj Saunshi
Jordan T. Ash
Surbhi Goel
Dipendra Kumar Misra
Cyril Zhang
Sanjeev Arora
Sham Kakade
A. Krishnamurthy
SSL
27
109
0
28 Feb 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNN
AI4CE
46
55
0
18 Feb 2022
A Differential Entropy Estimator for Training Neural Networks
A Differential Entropy Estimator for Training Neural Networks
Georg Pichler
Pierre Colombo
Malik Boudiaf
Günther Koliander
Pablo Piantanida
25
21
0
14 Feb 2022
Conditional Contrastive Learning with Kernel
Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai
Tianqi Li
Martin Q. Ma
Han Zhao
Kun Zhang
Louis-Philippe Morency
Ruslan Salakhutdinov
27
25
0
11 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
Michael Laskin
Hao Liu
Xue Bin Peng
Denis Yarats
Aravind Rajeswaran
Pieter Abbeel
SSL
78
66
0
01 Feb 2022
Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
90
81
0
13 Jan 2022
Semantic Feature Extraction for Generalized Zero-shot Learning
Semantic Feature Extraction for Generalized Zero-shot Learning
Junhan Kim
Kyuhong Shim
B. Shim
VLM
27
30
0
29 Dec 2021
Computationally Efficient Approximations for Matrix-based Renyi's
  Entropy
Computationally Efficient Approximations for Matrix-based Renyi's Entropy
Tieliang Gong
Yuxin Dong
Shujian Yu
B. Dong
67
2
0
27 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
20
55
0
22 Dec 2021
RvS: What is Essential for Offline RL via Supervised Learning?
RvS: What is Essential for Offline RL via Supervised Learning?
Scott Emmons
Benjamin Eysenbach
Ilya Kostrikov
Sergey Levine
OffRL
31
170
0
20 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
26
25
0
10 Dec 2021
Unsupervised Representation Learning via Neural Activation Coding
Unsupervised Representation Learning via Neural Activation Coding
Yookoon Park
Sangho Lee
Gunhee Kim
David M. Blei
SSL
26
8
0
07 Dec 2021
Encoding Causal Macrovariables
Encoding Causal Macrovariables
Benedikt Höltgen
CML
19
3
0
29 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic
  Segmentation
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
32
10
0
09 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
21
107
0
01 Nov 2021
MUSE: Feature Self-Distillation with Mutual Information and
  Self-Information
MUSE: Feature Self-Distillation with Mutual Information and Self-Information
Yunpeng Gong
Ye Yu
Gaurav Mittal
Greg Mori
Mei Chen
SSL
32
2
0
25 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLM
CLIP
209
102
0
21 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
126
304
0
07 Oct 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li
Demin Song
Ruotian Ma
Xipeng Qiu
Xuanjing Huang
29
21
0
06 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao
Yoshihiro Nagano
Kento Nozawa
SSL
UQCV
41
19
0
06 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks
Adaptive Multi-layer Contrastive Graph Neural Networks
S. Shi
Pengfei Xie
Xu Luo
Kai Qiao
Linyuan Wang
Jian Chen
B. Yan
OOD
24
5
0
29 Sep 2021
RGB-D Saliency Detection via Cascaded Mutual Information Minimization
RGB-D Saliency Detection via Cascaded Mutual Information Minimization
Jing Zhang
Deng-Ping Fan
Yuchao Dai
Xin Yu
Yiran Zhong
Nick Barnes
Ling Shao
49
97
0
15 Sep 2021
Learning cortical representations through perturbed and adversarial
  dreaming
Learning cortical representations through perturbed and adversarial dreaming
Nicolas Deperrois
Mihai A. Petrovici
Walter Senn
Jakob Jordan
GAN
CLL
58
21
0
09 Sep 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization
  for Out-of-Domain Detection
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
Iftitahu Ni'mah
Meng Fang
Vlado Menkovski
Mykola Pechenizkiy
35
5
0
27 Aug 2021
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code
  Representation
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation
Xin Wang
Yasheng Wang
Fei Mi
Pingyi Zhou
Yao Wan
Xiao Liu
Li Li
Hao Wu
Jin Liu
Xin Jiang
39
113
0
10 Aug 2021
Enhancing Self-supervised Video Representation Learning via Multi-level
  Feature Optimization
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization
Rui Qian
Yuxi Li
Huabin Liu
John See
Shuangrui Ding
Xian Liu
Dian Li
Weiyao Lin
35
42
0
04 Aug 2021
Decomposed Mutual Information Estimation for Contrastive Representation
  Learning
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Alessandro Sordoni
Nouha Dziri
Hannes Schulz
Geoffrey J. Gordon
Philip Bachman
Rémi Tachet des Combes
SSL
24
30
0
25 Jun 2021
Investigating the Role of Negatives in Contrastive Representation
  Learning
Investigating the Role of Negatives in Contrastive Representation Learning
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Dipendra Kumar Misra
SSL
29
49
0
18 Jun 2021
Prototypical Graph Contrastive Learning
Prototypical Graph Contrastive Learning
Shuai Lin
Pan Zhou
Zi-Yuan Hu
Shuojia Wang
Ruihui Zhao
Yefeng Zheng
Liang Lin
Eric Xing
Xiaodan Liang
24
86
0
17 Jun 2021
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive
  Learning from Molecular Graph
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
Mengying Sun
Jing Xing
Huijun Wang
Bin Chen
Jiayu Zhou
24
115
0
05 Jun 2021
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
Ling Shao
CML
37
128
0
05 Jun 2021
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
Lu Wang
Xiaofu Chang
Shuang Li
Yunfei Chu
Hui Li
Wei Zhang
Xiaofeng He
Le Song
Jingren Zhou
Hongxia Yang
24
52
0
17 May 2021
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