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1906.00910
Cited By
Learning Representations by Maximizing Mutual Information Across Views
3 June 2019
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
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Papers citing
"Learning Representations by Maximizing Mutual Information Across Views"
50 / 722 papers shown
Title
Information-Theoretic State Variable Selection for Reinforcement Learning
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Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing
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Gencer Sumbul
Kai Norman Clasen
Begum Demir
32
7
0
15 Jan 2024
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
Arjun Bhalla
Daniel Levenson
Jan Bernhard
Anton Abilov
18
0
0
06 Jan 2024
f
f
f
-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
Wonjoon Chang
Dahee Kwon
Jaesik Choi
19
1
0
28 Dec 2023
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
T. L. Gia
Jaehyun Ahn
OODD
30
1
0
23 Dec 2023
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
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
Tianjin Huang
Tianlong Chen
Zhangyang Wang
Shiwei Liu
32
1
0
09 Dec 2023
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
Chenyu Wang
Sharut Gupta
Caroline Uhler
Tommi Jaakkola
15
4
0
01 Dec 2023
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
Lei Sha
Thomas Lukasiewicz
DRL
30
2
0
01 Dec 2023
Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting
Zifan Ning
Min Jin
14
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0
30 Nov 2023
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
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
Paul Engstler
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
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20
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0
24 Nov 2023
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
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
Stefan Matthes
Zhiwei Han
Hao Shen
31
4
0
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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
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
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
A. Fuller
K. Millard
James R. Green
20
60
0
01 Nov 2023
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
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
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
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
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DRL
35
1
0
21 Oct 2023
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
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0
19 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples
Yueqi Ma
Minjie Chen
Xiang Li
SSL
17
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0
15 Oct 2023
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
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
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
Weihua Liu
Lin Li
Chaochao Lin
Said Boumaraf
CVBM
28
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08 Oct 2023
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
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
T. Han
Laura vZigutyt.e
L. Huck
M. Huppertz
R. Siepmann
...
Firas Khader
Christiane Kuhl
S. Nebelung
Jakob Kather
Daniel Truhn
MedIm
22
3
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29 Sep 2023
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies
Yaochen Xie
Z. Xie
Sheikh Muhammad Saiful Islam
D. Zhi
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MedIm
23
0
0
26 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Thanh Nguyen
T. Pham
Chaoning Zhang
T. Luu
Thang Vu
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25
9
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21 Sep 2023
BAGEL: Backdoor Attacks against Federated Contrastive Learning
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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
Nirhoshan Sivaroopan
Chamuditha Jayanga
Chalani Ekanayake
Hasindri Watawana
Jathurshan Pradeepkumar
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Ranga Rodrigo
Chamira U. S. Edussooriya
D. Wadduwage
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UQCV
41
0
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13 Sep 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
Jeroen Galjaard
Robert Birke
Juan F. Pérez
Lydia Y. Chen
NoLa
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Unsupervised Gaze-aware Contrastive Learning with Subject-specific Condition
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Xucong Zhang
Guohao Lan
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20
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Adapting Self-Supervised Representations to Multi-Domain Setups
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Sam Sharpe
Jeremy Goodsitt
Bayan Bruss
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26
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CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse
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Contrastive Learning as Kernel Approximation
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18
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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
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21
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0
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Jaeill Kim
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30
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