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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 / 722 papers shown
Title
Information-Theoretic State Variable Selection for Reinforcement
  Learning
Information-Theoretic State Variable Selection for Reinforcement Learning
Charles Westphal
Stephen Hailes
Mirco Musolesi
18
3
0
21 Jan 2024
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in
  Remote Sensing
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing
Jakob Hackstein
Gencer Sumbul
Kai Norman Clasen
Begum Demir
32
7
0
15 Jan 2024
CCFC: Bridging Federated Clustering and Contrastive Learning
CCFC: Bridging Federated Clustering and Contrastive Learning
Jie Yan
Jing Liu
Zhonghan Zhang
FedML
38
3
0
12 Jan 2024
Exploiting Data Hierarchy as a New Modality for Contrastive Learning
Exploiting Data Hierarchy as a New Modality for Contrastive Learning
Arjun Bhalla
Daniel Levenson
Jan Bernhard
Anton Abilov
18
0
0
06 Jan 2024
$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy
fff-Divergence Based Classification: Beyond the Use of Cross-Entropy
Nicola Novello
Andrea M. Tonello
22
7
0
02 Jan 2024
Understanding Distributed Representations of Concepts in Deep Neural
  Networks without Supervision
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
Wonjoon Chang
Dahee Kwon
Jaesik Choi
19
1
0
28 Dec 2023
MIM4DD: Mutual Information Maximization for Dataset Distillation
MIM4DD: Mutual Information Maximization for Dataset Distillation
Yuzhang Shang
Zhihang Yuan
Yan Yan
DD
35
13
0
27 Dec 2023
Understanding normalization in contrastive representation learning and
  out-of-distribution detection
Understanding normalization in contrastive representation learning and out-of-distribution detection
T. L. Gia
Jaehyun Ahn
OODD
30
1
0
23 Dec 2023
Data-Efficient Multimodal Fusion on a Single GPU
Data-Efficient Multimodal Fusion on a Single GPU
Noël Vouitsis
Zhaoyan Liu
S. Gorti
Valentin Villecroze
Jesse C. Cresswell
Guangwei Yu
G. Loaiza-Ganem
M. Volkovs
45
3
0
15 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
Hiroya Kato
Kento Hasegawa
Seira Hidano
Kazuhide Fukushima
AAML
32
0
0
12 Dec 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel
  Size might be All You Need
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need
Tianjin Huang
Tianlong Chen
Zhangyang Wang
Shiwei Liu
32
1
0
09 Dec 2023
Guarding Barlow Twins Against Overfitting with Mixed Samples
Guarding Barlow Twins Against Overfitting with Mixed Samples
W. G. C. Bandara
C. D. Melo
Vishal M. Patel
SSL
34
11
0
04 Dec 2023
Removing Biases from Molecular Representations via Information
  Maximization
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang
Sharut Gupta
Caroline Uhler
Tommi Jaakkola
15
4
0
01 Dec 2023
Optimal Sample Complexity of Contrastive Learning
Optimal Sample Complexity of Contrastive Learning
Noga Alon
Dmitrii Avdiukhin
Dor Elboim
Orr Fischer
G. Yaroslavtsev
SSL
22
5
0
01 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement
Text Attribute Control via Closed-Loop Disentanglement
Lei Sha
Thomas Lukasiewicz
DRL
30
2
0
01 Dec 2023
Textual-Knowledge-Guided Numerical Feature Discovery Method for Power
  Demand Forecasting
Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting
Zifan Ning
Min Jin
14
0
0
30 Nov 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods
On the Adversarial Robustness of Graph Contrastive Learning Methods
Filippo Guerranti
Zinuo Yi
Anna Starovoit
Rafiq Kamel
Simon Geisler
Stephan Günnemann
AAML
41
2
0
29 Nov 2023
Contrastive encoder pre-training-based clustered federated learning for
  heterogeneous data
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data
Ye Lin Tun
Minh N. H. Nguyen
Chu Myaet Thwal
J. Choi
Choong Seon Hong
FedML
24
13
0
28 Nov 2023
Understanding Self-Supervised Features for Learning Unsupervised
  Instance Segmentation
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation
Paul Engstler
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
SSL
20
3
0
24 Nov 2023
Multi-entity Video Transformers for Fine-Grained Video Representation
  Learning
Multi-entity Video Transformers for Fine-Grained Video Representation Learning
Matthew Walmer
Rose Kanjirathinkal
Kai Sheng Tai
Keyur Muzumdar
Taipeng Tian
Abhinav Shrivastava
ViT
25
0
0
17 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang
Aly A. Khan
Yuxin Chen
Robert L. Grossman
25
0
0
09 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled
  Representations
Towards a Unified Framework of Contrastive Learning for Disentangled Representations
Stefan Matthes
Zhiwei Han
Hao Shen
31
4
0
08 Nov 2023
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial
  Network for an end-to-end image translation
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation
Iman Abbasnejad
Fabio Zambetta
Flora D. Salim
Timothy Wiley
Jeffrey Chan
Russell Gallagher
Ehsan Abbasnejad
GAN
13
0
0
07 Nov 2023
Contrastive Multi-Level Graph Neural Networks for Session-based
  Recommendation
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
F. Wang
Xingyu Gao
Zhenyu Chen
Lei Lyu
16
12
0
06 Nov 2023
Self-Supervised Learning of Representations for Space Generates
  Multi-Modular Grid Cells
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
Rylan Schaeffer
Mikail Khona
Tzuhsuan Ma
Cristobal Eyzaguirre
Sanmi Koyejo
Ila Rani Fiete
SSL
29
20
0
04 Nov 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical
  Masked Autoencoders
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
A. Fuller
K. Millard
James R. Green
20
60
0
01 Nov 2023
Patch-Wise Self-Supervised Visual Representation Learning: A
  Fine-Grained Approach
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach
Ali Javidani
Mohammad Amin Sadeghi
Babak Nadjar Araabi
25
0
0
28 Oct 2023
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph
  prediction
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction
Sebastian Koch
Pedro Hermosilla
Narunas Vaskevicius
Mirco Colosi
Timo Ropinski
29
9
0
25 Oct 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical
  Time-Series
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
Yihe Wang
Yu Han
Haishuai Wang
Xiang Zhang
AI4TS
22
46
0
21 Oct 2023
A Novel Information-Theoretic Objective to Disentangle Representations
  for Fair Classification
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
FaML
DRL
35
1
0
21 Oct 2023
MTS-LOF: Medical Time-Series Representation Learning via
  Occlusion-Invariant Features
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
Huayu Li
Ana S. Carreon-Rascon
Xiwen Chen
Geng Yuan
Ao Li
AI4TS
11
5
0
19 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
Yueqi Ma
Minjie Chen
Xiang Li
SSL
17
1
0
15 Oct 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive
  Self-Supervised Ranking
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
Yang Yu
Qi Liu
Kai Zhang
Yuren Zhang
Chao Song
Min Hou
Yuqing Yuan
Zhihao Ye
Zaixin Zhang
Sanshi Lei Yu
30
2
0
15 Oct 2023
SelfVC: Voice Conversion With Iterative Refinement using Self
  Transformations
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
Paarth Neekhara
Shehzeen Samarah Hussain
Rafael Valle
Boris Ginsburg
Rishabh Ranjan
Shlomo Dubnov
F. Koushanfar
Julian McAuley
16
3
0
14 Oct 2023
Multimodal Variational Auto-encoder based Audio-Visual Segmentation
Multimodal Variational Auto-encoder based Audio-Visual Segmentation
Yuxin Mao
Jing Zhang
Mochu Xiang
Yiran Zhong
Yuchao Dai
35
34
0
12 Oct 2023
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery
  Detection
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection
Weihua Liu
Lin Li
Chaochao Lin
Said Boumaraf
CVBM
28
0
0
08 Oct 2023
SemST: Semantically Consistent Multi-Scale Image Translation via
  Structure-Texture Alignment
SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment
Ganning Zhao
Wenhui Cui
Suya You
C.-C. Jay Kuo
32
2
0
08 Oct 2023
Information Flow in Self-Supervised Learning
Information Flow in Self-Supervised Learning
Zhiyuan Tan
Jingqin Yang
Weiran Huang
Yang Yuan
Yifan Zhang
SSL
25
13
0
29 Sep 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic
  Image Interpretation using Generative Pretraining
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining
T. Han
Laura vZigutyt.e
L. Huck
M. Huppertz
R. Siepmann
...
Firas Khader
Christiane Kuhl
S. Nebelung
Jakob Kather
Daniel Truhn
MedIm
22
3
0
29 Sep 2023
Genetic InfoMax: Exploring Mutual Information Maximization in
  High-Dimensional Imaging Genetics Studies
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies
Yaochen Xie
Z. Xie
Sheikh Muhammad Saiful Islam
D. Zhi
Shuiwang Ji
MedIm
23
0
0
26 Sep 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
T. Luu
Thang Vu
Chang-Dong Yoo
25
9
0
21 Sep 2023
BAGEL: Backdoor Attacks against Federated Contrastive Learning
BAGEL: Backdoor Attacks against Federated Contrastive Learning
Yao Huang
Kongyang Chen
Jiannong Cao
Jiaxing Shen
Shaowei Wang
Yun Peng
Weilong Peng
Kechao Cai
FedML
27
3
0
14 Sep 2023
Contrastive Deep Encoding Enables Uncertainty-aware
  Machine-learning-assisted Histopathology
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology
Nirhoshan Sivaroopan
Chamuditha Jayanga
Chalani Ekanayake
Hasindri Watawana
Jathurshan Pradeepkumar
Mithunjha Anandakumar
Ranga Rodrigo
Chamira U. S. Edussooriya
D. Wadduwage
MedIm
UQCV
41
0
0
13 Sep 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
Jeroen Galjaard
Robert Birke
Juan F. Pérez
Lydia Y. Chen
NoLa
17
0
0
12 Sep 2023
Unsupervised Gaze-aware Contrastive Learning with Subject-specific
  Condition
Unsupervised Gaze-aware Contrastive Learning with Subject-specific Condition
Li-Huan Du
Xucong Zhang
Guohao Lan
CVBM
20
1
0
08 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups
Adapting Self-Supervised Representations to Multi-Domain Setups
N. Kalibhat
Sam Sharpe
Jeremy Goodsitt
Bayan Bruss
S. Feizi
26
0
0
07 Sep 2023
CR-VAE: Contrastive Regularization on Variational Autoencoders for
  Preventing Posterior Collapse
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse
Fotios Lygerakis
Elmar Rueckert
DRL
11
4
0
06 Sep 2023
Contrastive Learning as Kernel Approximation
Contrastive Learning as Kernel Approximation
Konstantinos Christopher Tsiolis
SSL
18
0
0
06 Sep 2023
A Generic Fundus Image Enhancement Network Boosted by Frequency
  Self-supervised Representation Learning
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning
Heng Li
Haofeng Liu
H. Fu
Yanwu Xu
Hui Shu
Ke Niu
Yan Hu
Jiang-Dong Liu
21
14
0
02 Sep 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive
  Learning
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
30
2
0
30 Aug 2023
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