MINE: Mutual Information Neural Estimation

12 January 2018

Mohamed Ishmael Belghazi

Aaron Courville

Papers citing "MINE: Mutual Information Neural Estimation"

50 / 632 papers shown

Title
Measures of Information Reflect Memorization Patterns Rachit Bansal Danish Pruthi Yonatan Belinkov 33 8 0 17 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 38 16 0 17 Oct 2022
Mutual Information Regularized Offline Reinforcement Learning Xiao Ma Bingyi Kang Zhongwen Xu Min-Bin Lin Shuicheng Yan OffRL 30 7 0 14 Oct 2022
Variational Graph Generator for Multi-View Graph Clustering Jianpeng Chen Yawen Ling Jie Xu Yazhou Ren Shudong Huang X. Pu Zhifeng Hao Philip S. Yu Lifang He 33 5 0 13 Oct 2022
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features Changde Du Kaicheng Fu Jinpeng Li Huiguang He VLM 45 68 0 13 Oct 2022
Generalised Mutual Information for Discriminative Clustering Louis Ohl Pierre-Alexandre Mattei C. Bouveyron Warith Harchaoui Mickael Leclercq Arnaud Droit F. Precioso 16 6 0 12 Oct 2022
Function-space regularized Rényi divergences Jeremiah Birrell Yannis Pantazis P. Dupuis M. Katsoulakis Luc Rey-Bellet 45 7 0 10 Oct 2022
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing Sophie Henning William H. Beluch Alexander Fraser Annemarie Friedrich 19 20 0 10 Oct 2022
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning Dongsheng Zhu Zhenyu Mao Jinghui Lu Rui Zhao Fei Tan 36 1 0 08 Oct 2022
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 35 12 0 06 Oct 2022
Revealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN) Yingyao Hu Yang Liu Jiaxiong Yao DRL 16 1 0 04 Oct 2022
CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software Yuanyuan Yuan Zhibo Liu Shuai Wang 26 11 0 29 Sep 2022
Learn what matters: cross-domain imitation learning with task-relevant embeddings Tim Franzmeyer Philip Torr João F. Henriques OOD 34 20 0 24 Sep 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL Fengzhuo Zhang Boyi Liu Kaixin Wang Vincent Y. F. Tan Zhuoran Yang Zhaoran Wang OffRL LRM 51 10 0 20 Sep 2022
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals Xingyao Wang Yuwen Li Hongxiang Gao Xianghong Cheng Jianqing Li Chengyu Liu 30 6 0 19 Sep 2022
Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering Jingjing Jiang Zi-yi Liu Nanning Zheng 26 8 0 14 Sep 2022
Jointly Contrastive Representation Learning on Road Network and Trajectory Zhenyu Mao Ziyue Li Dedong Li Lei Bai Rui Zhao AI4TS 36 48 0 14 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs Dongkwan Kim Jiho Jin Jaimeen Ahn Alice H. Oh 40 3 0 01 Sep 2022
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation Yu Wang Hengrui Zhang Zhiwei Liu Liangwei Yang Philip S. Yu DRL 31 48 0 27 Aug 2022
Disentangled Speaker Representation Learning via Mutual Information Minimization Sung Hwan Mun Mingrui Han Minchan Kim Dongjune Lee N. Kim DRL 41 9 0 17 Aug 2022
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions P. Daniušis Shubham Juneja Lukas Kuzma Virginijus Marcinkevičius 33 1 0 16 Aug 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 29 10 0 12 Aug 2022
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature Xiangwen Kong Xiangyu Zhang SSL 32 53 0 08 Aug 2022
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information Xiao Liu Spyridon Thermos Pedro Sanchez Alison Q. OÑeil Sotirios A. Tsaftaris 39 1 0 06 Aug 2022
Recurrent networks, hidden states and beliefs in partially observable environments Gaspard Lambrechts Adrien Bolland D. Ernst 16 12 0 06 Aug 2022
Invariant Representations with Stochastically Quantized Neural Networks Mattia Cerrato Marius Köppel Roberto Esposito Stefan Kramer MQ 32 4 0 04 Aug 2022
An Optimal Likelihood Free Method for Biological Model Selection Vincent D. Zaballa E. Hui 34 0 0 03 Aug 2022
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? A. Elkordy Jiang Zhang Yahya H. Ezzeldin Konstantinos Psounis A. Avestimehr FedML 35 38 0 03 Aug 2022
Improving Adversarial Robustness via Mutual Information Estimation Dawei Zhou Nannan Wang Xinbo Gao Bo Han Xiaoyu Wang Yibing Zhan Tongliang Liu AAML 16 15 0 25 Jul 2022
Continual Variational Autoencoder Learning via Online Cooperative Memorization Fei Ye A. Bors CLL 22 16 0 20 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu Liangjiang Wen Jianzhuang Liu Yajing Liu Xinmei Tian SSL 19 37 0 19 Jul 2022
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing Ahsan Adeel Mario Franco Mohsin Raza K. Ahmed 31 9 0 15 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz Slava Voloshynovskiy 29 15 0 11 Jul 2022
Learning Functions on Multiple Sets using Multi-Set Transformers Kira A. Selby Ahmad Rashid I. Kobyzev Mehdi Rezagholizadeh Pascal Poupart ViT 19 1 0 30 Jun 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang Qing Guo Yang Liu TDI FaML 22 33 0 30 Jun 2022
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems Yixin Su Yunxiang Zhao S. Erfani Junhao Gan Rui Zhang 77 24 0 28 Jun 2022
Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation Li Zhang Yan Ge Jun Ma Jianmo Ni Haiping Lu 19 2 0 27 Jun 2022
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One Yezhen Wang Tong Che Bo-wen Li Kaitao Song Hengzhi Pei Yoshua Bengio Dongsheng Li 26 3 0 26 Jun 2022
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 40 16 0 23 Jun 2022
Variational Distillation for Multi-View Learning Xudong Tian Zhizhong Zhang Cong Wang Wensheng Zhang Yanyun Qu Lizhuang Ma Zongze Wu Yuan Xie Dacheng Tao 26 5 0 20 Jun 2022
Dual Representation Learning for Out-of-Distribution Detection Zhilin Zhao LongBing Cao 21 2 0 19 Jun 2022
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data Zhilin Zhao LongBing Cao Kun-Yu Lin OOD 19 2 0 19 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection Zhilin Zhao LongBing Cao Kun-Yu Lin 19 4 0 19 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 23 11 0 19 Jun 2022
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension Ziv Goldfeld Kristjan Greenewald Theshani Nuradha Galen Reeves 36 0 0 17 Jun 2022
Interaction-Grounded Learning with Action-inclusive Feedback Tengyang Xie Akanksha Saran Dylan J. Foster Lekan Molu Ida Momennejad Nan Jiang Paul Mineiro John Langford 19 9 0 16 Jun 2022
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation Ye Zhu Yuehua Wu Kyle Olszewski Jian Ren Sergey Tulyakov Yan Yan DiffM 28 47 0 15 Jun 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions Sheng Zhou Hongjia Xu Zhuonan Zheng Jiawei Chen Zhao Li Jiajun Bu Jia Wu Xin Wang Wenwu Zhu Martin Ester 18 93 0 15 Jun 2022
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems Phillip Lippe Sara Magliacane Sindy Lowe Yuki M. Asano Taco S. Cohen E. Gavves CML 29 28 0 13 Jun 2022
GCVAE: Generalized-Controllable Variational AutoEncoder Kenneth Ezukwoke Anis Hoayek M. Batton-Hubert Xavier Boucher BDL DRL 9 1 0 09 Jun 2022