Learning deep representations by mutual information estimation and maximization

20 August 2018

R. Devon Hjelm

A. Fedorov

Samuel Lavoie-Marchildon

Papers citing "Learning deep representations by mutual information estimation and maximization"

33 / 633 papers shown

Title
Learning Deep Representations by Mutual Information for Person Re-identification Peng Chen Tong Jia Pengfei Wu Jianjun Wu Dongyue Chen SSL 30 5 0 16 Aug 2019
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection Xiaoxiao Li Nicha Dvornek Juntang Zhuang P. Ventola James Duncan 20 14 0 09 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 50 844 0 31 Jul 2019
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning Meng Qu Jian Tang Yoshua Bengio 33 13 0 06 Jul 2019
Tuning-Free Disentanglement via Projection Yue Bai L. Duan 21 3 0 27 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
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 100 2,372 0 13 Jun 2019
Learning Video Representations using Contrastive Bidirectional Transformer Chen Sun Fabien Baradel Kevin Patrick Murphy Cordelia Schmid SSL ViT 27 133 0 13 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization Pengfei Chen Weiwen Liu Chang-Yu Hsieh Guangyong Chen Shengyu Zhang 17 21 0 13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 105 1,459 0 03 Jun 2019
Unsupervised Learning from Video with Deep Neural Embeddings Chengxu Zhuang Tianwei She A. Andonian Max Sobol Mark Daniel L. K. Yamins SSL 17 57 0 28 May 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 14 143 0 28 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 58 1,417 0 22 May 2019
Unsupervised Detection of Distinctive Regions on 3D Shapes Xianzhi Li Lequan Yu Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 36 19 0 05 May 2019
Deep Spectral Clustering using Dual Autoencoder Network Xu Yang Cheng Deng Feng Zheng Junchi Yan Wen Liu 32 249 0 30 Apr 2019
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net Ying Qu Hairong Qi C. Kwan Naoto Yokoya Jocelyn Chanussot 24 70 0 27 Apr 2019
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation Jie Cao Huaibo Huang Yi Li Jingtuo Liu Ran He Zhenan Sun GAN 26 4 0 14 Apr 2019
Easy Transfer Learning By Exploiting Intra-domain Structures Jindong Wang Yiqiang Chen Han Yu Meiyu Huang Qiang Yang 19 130 0 02 Apr 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 30 116 0 28 Mar 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 19 112 0 24 Jan 2019
Mixed Formal Learning: A Path to Transparent Machine Learning Sandra Carrico AI4CE 11 1 0 20 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 28 39 0 06 Jan 2019
Learning Speaker Representations with Mutual Information Mirco Ravanelli Yoshua Bengio SSL DRL 27 91 0 01 Dec 2018
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 13 38 0 19 Nov 2018
Formal Limitations on the Measurement of Mutual Information David A. McAllester K. Stratos SSL 28 274 0 10 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 37 618 0 02 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability J. Jacobsen Jens Behrmann R. Zemel Matthias Bethge AAML 33 166 0 01 Nov 2018
Estimating Information Flow in Deep Neural Networks Ziv Goldfeld E. Berg Kristjan Greenewald Igor Melnyk Nam H. Nguyen Brian Kingsbury Yury Polyanskiy 30 32 0 12 Oct 2018
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases Xingdi Yuan Tong Wang Rui Meng Khushboo Thaker Peter Brusilovsky Daqing He Adam Trischler 27 101 0 11 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 33 206 0 02 Oct 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 33 841 0 17 Jul 2018
Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction K. Stratos 26 26 0 20 Apr 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 275 2,553 0 25 Jan 2016