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1801.04062
Cited By
MINE: Mutual Information Neural Estimation
12 January 2018
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
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Papers citing
"MINE: Mutual Information Neural Estimation"
50 / 632 papers shown
Title
AI-based association analysis for medical imaging using latent-space geometric confounder correction
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E. Wolvius
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Esther E. Bron
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Improving Cross-dataset Deepfake Detection with Deep Information Decomposition
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0
30 Sep 2023
Telling Stories for Common Sense Zero-Shot Action Recognition
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Carolina Scarton
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29 Sep 2023
Max-Sliced Mutual Information
Dor Tsur
Ziv Goldfeld
Kristjan Greenewald
32
9
0
28 Sep 2023
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation
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Yuxin Mao
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Yuchao Dai
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0
26 Sep 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
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Xiao Luo
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Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
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Y. Liang
Haomin Wen
Xu Liu
Kun Wang
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Roger Zimmermann
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42
38
0
23 Sep 2023
Trading-off Mutual Information on Feature Aggregation for Face Recognition
Mohammad Akyash
Ali Zafari
Nasser M. Nasrabadi
ViT
25
1
0
22 Sep 2023
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
Hongyu Zhang
Dongyi Zheng
Xu Yang
Jiyuan Feng
Qing Liao
8
11
0
15 Sep 2023
CRYPTO-MINE: Cryptanalysis via Mutual Information Neural Estimation
Benjamin D. Kim
Vipindev Adat Vasudevan
Jongchan Woo
Alejandro Cohen
Rafael G. L. DÓliveira
Thomas Stahlbuhk
Muriel Médard
11
3
0
14 Sep 2023
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
K. M. Martini
I. Nemenman
32
2
0
11 Sep 2023
Generalised Mutual Information: a Framework for Discriminative Clustering
Louis Ohl
Pierre-Alexandre Mattei
C. Bouveyron
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Mickael Leclercq
Arnaud Droit
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19
3
0
06 Sep 2023
Learning Cross-modality Information Bottleneck Representation for Heterogeneous Person Re-Identification
Haichao Shi
Mandi Luo
Xiao-Yu Zhang
Ran He
9
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0
29 Aug 2023
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
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Jinglai Li
30
2
0
19 Aug 2023
MOLE: MOdular Learning FramEwork via Mutual Information Maximization
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Yulong Pei
33
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15 Aug 2023
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
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Jialong Zhou
Yulin Zhu
Gaolei Li
Tomasz P. Michalak
Xi Luo
Kai Zhou
48
1
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02 Aug 2023
Binary classification based Monte Carlo simulation
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29 Jul 2023
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Haizhou Shi
Zhenshuo Zhang
Siliang Tang
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The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
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Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations
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Michael G. Burke
and Nassir Navab
24
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Beyond Normal: On the Evaluation of Mutual Information Estimators
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Julia E. Vogt
N. Beerenwinkel
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32
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Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition
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Qiu-shi Zhu
E. Chng
31
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Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations
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Haifeng Chen
32
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Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
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Zhibo Wang
Kui Ren
16
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An information-Theoretic Approach to Semi-supervised Transfer Learning
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Learning World Models with Identifiable Factorization
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Estimating Conditional Mutual Information for Dynamic Feature Selection
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29
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Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection
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Thien Huu Nguyen
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Thuy Vu
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03 Jun 2023
On the Effectiveness of Hybrid Mutual Information Estimation
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TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module
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The Representation Jensen-Shannon Divergence
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Estimating class separability of text embeddings with persistent homology
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Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains
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Computing high-dimensional optimal transport by flow neural networks
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Noise-Aware Speech Separation with Contrastive Learning
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Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
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Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
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Behavior Contrastive Learning for Unsupervised Skill Discovery
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Mutual information of spin systems from autoregressive neural networks
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A Novel Dual of Shannon Information and Weighting Scheme
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A Cookbook of Self-Supervised Learning
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