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
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization Wei-wei Zhu Haitian Zheng Haofu Liao Weijian Li Jiebo Luo 35 43 0 11 Aug 2021
Applying the Information Bottleneck Principle to Prosodic Representation Learning Guangyan Zhang Ying Qin Daxin Tan Tan Lee 33 4 0 05 Aug 2021
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data Loic Le Folgoc V. Baltatzis A. Alansary S. Desai A. Devaraj ... O. M. Manzanera F. Kanavati A. Nair J. Schnabel Ben Glocker 13 0 0 31 Jul 2021
Conditional GANs with Auxiliary Discriminative Classifier Liang Hou Qi Cao Huawei Shen Siyuan Pan Xiaoshuang Li Xueqi Cheng GAN 28 35 0 21 Jul 2021
Model Uncertainty and Correctability for Directed Graphical Models P. Birmpa Jinchao Feng M. Katsoulakis Luc Rey-Bellet 8 0 0 17 Jul 2021
LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects Yves-Laurent Kom Samo 106 1 0 16 Jul 2021
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group J. Erdmenger Kevin T. Grosvenor R. Jefferson 54 17 0 14 Jul 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense Duhun Hwang Eunjung Lee Wonjong Rhee AAML 167 14 0 14 Jul 2021
Discriminative Mutual Information Estimators for Channel Capacity Learning N. A. Letizia Andrea M. Tonello 11 5 0 07 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 0 05 Jul 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective Binghui Wang Jiayi Guo Ang Li Yiran Chen H. Li SSL 25 36 0 03 Jul 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks Amirhossein Nouranizadeh Mohammadjavad Matinkia Mohammad Rahmati Reza Safabakhsh 21 20 0 03 Jul 2021
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE Junya Chen Zhe Gan Xuan Li Qing Guo Liqun Chen ... Belinda Zeng Wenlian Lu Fan Li Lawrence Carin Chenyang Tao 43 28 0 02 Jul 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization Qing Guo Junya Chen Dong Wang Yuewei Yang Xinwei Deng Lawrence Carin Fan Li Jing-Zheng Huang Chenyang Tao 29 19 0 02 Jul 2021
Leveraging Hidden Structure in Self-Supervised Learning Emanuele Sansone SSL 28 0 0 30 Jun 2021
Attaining entropy production and dissipation maps from Brownian movies via neural networks Youngkyoung Bae Dong-Kyum Kim Hawoong Jeong 9 1 0 29 Jun 2021
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic Nidhi Gowdra R. Sinha Stephen G. MacDonell W. Yan 21 9 0 27 Jun 2021
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis Xianjing Liu Bo-wen Li Esther E. Bron W. Niessen E. Wolvius Gennady Roshchupkin CVBM 26 9 0 25 Jun 2021
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 29 0 25 Jun 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 22 211 0 23 Jun 2021
Neural Network Classifier as Mutual Information Evaluator Zhenyue Qin Dongwoo Kim Tom Gedeon 18 2 0 19 Jun 2021
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion Disong Wang Liqun Deng Y. Yeung Xiao Chen Xunying Liu Helen Meng DRL 22 136 0 18 Jun 2021
Novelty Detection via Contrastive Learning with Negative Data Augmentation Chengwei Chen Yuan Xie Shaohui Lin Ruizhi Qiao Jingren Zhou Xin Tan Yi Zhang Lizhuang Ma SSL 42 12 0 18 Jun 2021
Frustratingly Easy Transferability Estimation Long-Kai Huang Ying Wei Yu Rong Qiang Yang Junzhou Huang 33 57 0 17 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 18 4 0 06 Jun 2021
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data Zhixuan Chu S. Rathbun Sheng Li CML 6 46 0 05 Jun 2021
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning Martin Q. Ma Yao-Hung Hubert Tsai Paul Pu Liang Han Zhao Kun Zhang Ruslan Salakhutdinov Louis-Philippe Morency SSL 23 15 0 05 Jun 2021
Variational Leakage: The Role of Information Complexity in Privacy Leakage A. A. Atashin Behrooz Razeghi Deniz Gunduz Slava Voloshynovskiy PILM 11 9 0 05 Jun 2021
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning Sharu Theresa Jose Sangwook Park Osvaldo Simeone PER UD UQCV 19 17 0 01 Jun 2021
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients Fan Mo Anastasia Borovykh Mohammad Malekzadeh Soteris Demetriou Deniz Gündüz Hamed Haddadi FedML 26 3 0 28 May 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization Taiki Miyagawa Akinori F. Ebihara 25 3 0 28 May 2021
InfoFair: Information-Theoretic Intersectional Fairness Jian Kang Tiankai Xie Xintao Wu Ross Maciejewski Hanghang Tong FaML 16 20 0 24 May 2021
Disentangled Variational Information Bottleneck for Multiview Representation Learning Feng Bao 27 12 0 17 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 28 241 0 16 May 2021
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations Xiaolong Fan Maoguo Gong Yue Wu Hao Li SSL 33 4 0 14 May 2021
Consistent Multiple Graph Embedding for Multi-View Clustering Yiming Wang Dongxia Chang Zhiqiang Fu Yao Zhao 28 53 0 11 May 2021
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds Steven Kleinegesse Michael U. Gutmann FedML 33 25 0 10 May 2021
Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach Yifan Hou Mrinmaya Sachan 15 10 0 06 May 2021
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks Ozan Özdenizci Deniz Erdogmus 13 17 0 01 May 2021
Learning Robust Variational Information Bottleneck with Reference Weizhu Qian Bowei Chen Xiaowei Huang AAML 20 1 0 29 Apr 2021
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation Kashob Kumar Roy Amit Roy A. Rahman M. A. Amin A. Ali SSL 24 10 0 27 Apr 2021
Unsupervised Learning of Multi-level Structures for Anomaly Detection Songmin Dai Jide Li Lu Wang Congcong Zhu Yifan Wu Xiaoqiang Li 23 0 0 25 Apr 2021
Calibrating LiDAR and Camera using Semantic Mutual information Peng-Tao Jiang Philip R. Osteen Srikanth Saripalli 19 6 0 24 Apr 2021
Deep Data Density Estimation through Donsker-Varadhan Representation Seonho Park P. Pardalos BDL 4 6 0 14 Apr 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification Xudong Tian Zhizhong Zhang Shaohui Lin Yanyun Qu Yuan Xie Lizhuang Ma 19 109 0 07 Apr 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 13 29 0 01 Apr 2021
PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information Linchao He Mengting Luo Dejun Zhang Xiao Yang Hu Chen Yi Zhang 3DPC 10 0 0 31 Mar 2021
MISA: Online Defense of Trojaned Models using Misattributions Panagiota Kiourti Wenchao Li Anirban Roy Karan Sikka Susmit Jha 21 10 0 29 Mar 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning Hiroki Furuta T. Matsushima Tadashi Kozuno Y. Matsuo Sergey Levine Ofir Nachum S. Gu OffRL 11 13 0 23 Mar 2021
Recognizing Predictive Substructures with Subgraph Information Bottleneck Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 25 43 0 20 Mar 2021