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 Unbiased Representations via Mutual Information Backpropagation R. Ragonesi Riccardo Volpi Jacopo Cavazza Vittorio Murino FaML SSL 6 30 0 13 Mar 2020
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis Ting-Yao Hu A. Shrivastava Oncel Tuzel C. Dhir 6 30 0 09 Mar 2020
Matching Text with Deep Mutual Information Estimation Xixi Zhou Chengxi Li Jiajun Bu Chengwei Yao Keyue Shi Zhi Yu Zhou Yu 6 5 0 09 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 34 24 0 02 Mar 2020
Learning Cross-domain Generalizable Features by Representation Disentanglement Qingjie Meng Daniel Rueckert Bernhard Kainz OOD DRL 19 12 0 29 Feb 2020
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization Sicheng Zhu Xiao Zhang David E. Evans SSL OOD 6 27 0 26 Feb 2020
Analysis of Discriminator in RKHS Function Space for Kullback-Leibler Divergence Estimation S. Ghimire P. Gyawali Linwei Wang 28 0 0 25 Feb 2020
A Theory of Usable Information Under Computational Constraints Yilun Xu Shengjia Zhao Jiaming Song Russell Stewart Stefano Ermon 11 169 0 25 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 17 161 0 20 Feb 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation Steven Kleinegesse Michael U. Gutmann 26 64 0 19 Feb 2020
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting Hanwei Wu Ather Gattami M. Flierl AI4TS 11 14 0 18 Feb 2020
Fast Fair Regression via Efficient Approximations of Mutual Information D. Steinberg Alistair Reid S. O'Callaghan Finnian Lattimore L. McCalman Tibério S. Caetano FaML 14 16 0 14 Feb 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 45 117 0 10 Feb 2020
On the Estimation of Information Measures of Continuous Distributions Georg Pichler Pablo Piantanida Günther Koliander 19 13 0 07 Feb 2020
Learning Task-Driven Control Policies via Information Bottlenecks Vincent Pacelli Anirudha Majumdar 17 25 0 04 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 47 566 0 04 Feb 2020
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions Benjamin Regler Matthias Scheffler L. Ghiringhelli 13 2 0 30 Jan 2020
Multi-task self-supervised learning for Robust Speech Recognition Mirco Ravanelli Jianyuan Zhong Santiago Pascual P. Swietojanski João Monteiro J. Trmal Yoshua Bengio SSL 189 288 0 25 Jan 2020
Adversarial Disentanglement with Grouped Observations J. Németh DRL 13 8 0 14 Jan 2020
Guess First to Enable Better Compression and Adversarial Robustness Sicheng Zhu Bang An Shiyu Niu AAML 13 0 0 10 Jan 2020
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data Ruocheng Guo Jundong Li Huan Liu CML OffRL 30 21 0 22 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 31 4 0 21 Dec 2019
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 24 56 0 20 Dec 2019
ITENE: Intrinsic Transfer Entropy Neural Estimator Jingjing Zhang Osvaldo Simeone Zoran Cvetkovic E. Abela M. Richardson 9 17 0 16 Dec 2019
Learning Domain Adaptive Features with Unlabeled Domain Bridges Yichen Li Xingchao Peng GAN 13 3 0 10 Dec 2019
Learning Disentangled Representations via Mutual Information Estimation E. Sanchez M. Serrurier M. Ortner SSL DRL 22 95 0 09 Dec 2019
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator Zhenyue Qin Dongwoo Kim Tom Gedeon SSL 11 50 0 25 Nov 2019
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations Taihong Xiao Yi-Hsuan Tsai Kihyuk Sohn Manmohan Chandraker Ming-Hsuan Yang 21 75 0 22 Nov 2019
Model-Augmented Estimation of Conditional Mutual Information for Feature Selection Alan Yang AmirEmad Ghassami Maxim Raginsky Negar Kiyavash E. Rosenbaum 16 1 0 12 Nov 2019
Federated Adversarial Domain Adaptation Xingchao Peng Zijun Huang Yizhe Zhu Kate Saenko FedML 19 269 0 05 Nov 2019
Improving Slot Filling by Utilizing Contextual Information Amir Pouran Ben Veyseh Franck Dernoncourt Thien Huu Nguyen 19 6 0 05 Nov 2019
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI Eunjin Jeon Wonjun Ko Jee Seok Yoon Heung-Il Suk OOD 6 0 0 17 Oct 2019
Deep Kernels with Probabilistic Embeddings for Small-Data Learning Ankur Mallick Chaitanya Dwivedi B. Kailkhura Gauri Joshi T. Y. Han BDL UQCV 12 7 0 13 Oct 2019
How are attributes expressed in face DCNNs? Prithviraj Dhar Ankan Bansal Carlos D. Castillo Joshua Gleason P. Phillips Rama Chellappa CVBM 19 28 0 12 Oct 2019
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition Xupeng Miao Nezihe Merve Gürel Wentao Zhang Zhichao Han Bo-wen Li ... Yang Zhao Shuai Zhang Yujing Wang Bin Cui Ce Zhang GNN 13 6 0 10 Oct 2019
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement Chao Yang Xiaojian Ma Wenbing Huang F. Sun Huaping Liu Junzhou Huang Chuang Gan 23 70 0 10 Oct 2019
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport Yanbin Liu M. Yamada Yao-Hung Hubert Tsai Tam Le Ruslan Salakhutdinov Yi Yang OT 19 7 0 05 Sep 2019
Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation Shengju Qian K. Sun Wayne Wu Chen Qian Jiaya Jia 3DH CVBM 16 65 0 18 Aug 2019
Improve variational autoEncoder with auxiliary softmax multiclassifier Yao Li DRL 21 0 0 17 Aug 2019
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics Aurobrata Ghosh Zheng Zhong Steve Cruz Subbu Veeravasarapu Terrance E Boult M. Singh AAML 16 2 0 11 Aug 2019
On Mutual Information Maximization for Representation Learning Michael Tschannen Josip Djolonga Paul Kishan Rubenstein Sylvain Gelly Mario Lucic SSL 9 486 0 31 Jul 2019
Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities Ronan Perry Ronak D. Mehta Richard Guo Eva Yezerets Jesús Arroyo Michael A. Powell Hayden Helm Cencheng Shen Joshua T. Vogelstein 10 2 0 30 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Joint Learning of Geometric and Probabilistic Constellation Shaping Maximilian Stark Fayçal Ait Aoudia J. Hoydis 33 81 0 18 Jun 2019
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck Sungyub Kim Yong-Ho Baek Sung Ju Hwang Eunho Yang CML 12 1 0 07 Jun 2019
CCMI : Classifier based Conditional Mutual Information Estimation Sudipto Mukherjee Himanshu Asnani Sreeram Kannan VLM 12 81 0 05 Jun 2019
Neural Entropic Estimation: A faster path to mutual information estimation Chung Chan Ali Al-Bashabsheh Hingpang Huang Michael Lim D. Tam Chao Zhao 11 22 0 30 May 2019
Understanding the Behaviour of the Empirical Cross-Entropy Beyond the Training Distribution Matías Vera Pablo Piantanida L. Rey Vega 23 0 0 28 May 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Lowe Peter O'Connor Bastiaan S. Veeling SSL 6 143 0 28 May 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 20 1 0 27 May 2019