Understanding the Limitations of Variational Mutual Information Estimators

14 October 2019

Papers citing "Understanding the Limitations of Variational Mutual Information Estimators"

33 / 133 papers shown

Title
Negative Data Augmentation Abhishek Sinha Kumar Ayush Jiaming Song Burak Uzkent Hongxia Jin Stefano Ermon 57 72 0 09 Feb 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 56 51 0 14 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation Han Zhang Jing Yu Koh Jason Baldridge Honglak Lee Yinfei Yang GAN 22 355 0 12 Jan 2021
Neural Joint Entropy Estimation Yuval Shalev Amichai Painsky I. Ben-Gal 34 8 0 21 Dec 2020
Disentangled Information Bottleneck Ziqi Pan Li Niu Jianfu Zhang Liqing Zhang 33 36 0 14 Dec 2020
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization Long Zhao Yuxiao Wang Jiaping Zhao Liangzhe Yuan Jennifer J. Sun Florian Schroff Hartwig Adam Xi Peng Dimitris N. Metaxas Ting Liu SSL 27 30 0 02 Dec 2020
Disentangling Label Distribution for Long-tailed Visual Recognition Youngkyu Hong Seungju Han Kwanghee Choi Seokjun Seo Beomsu Kim Buru Chang 22 231 0 01 Dec 2020
Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS P. A. Sreekar Ujjwal Tiwari A. Namboodiri 14 2 0 17 Nov 2020
Combating the Instability of Mutual Information-based Losses via Regularization Kwanghee Choi Siyeong Lee AAML 25 4 0 16 Nov 2020
Bottleneck Problems: Information and Estimation-Theoretic View S. Asoodeh Flavio du Pin Calmon 30 18 0 12 Nov 2020
Intriguing Properties of Contrastive Losses Ting Chen Calvin Luo Lala Li 36 174 0 05 Nov 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness Long Zhao Ting Liu Xi Peng Dimitris N. Metaxas OOD AAML 27 165 0 15 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of energy-based models Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 14 70 0 08 Oct 2020
A Neural Network MCMC sampler that maximizes Proposal Entropy Zengyi Li Yubei Chen Friedrich T. Sommer 34 14 0 07 Oct 2020
DEMI: Discriminative Estimator of Mutual Information Ruizhi Liao Daniel Moyer Polina Golland W. Wells DRL 12 5 0 05 Oct 2020
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships N. Kudryashova Theoklitos Amvrosiadis Nathalie Dupuy Nathalie L Rochefort A. Onken 19 5 0 03 Aug 2020
Multi-label Contrastive Predictive Coding Jiaming Song Stefano Ermon SSL VLM 19 50 0 20 Jul 2020
Representation Learning via Adversarially-Contrastive Optimal Transport A. Cherian Shuchin Aeron OT 9 7 0 11 Jul 2020
Variational Representations and Neural Network Estimation of Rényi Divergences Jeremiah Birrell P. Dupuis Markos A. Katsoulakis Luc Rey-Bellet Jie Wang 24 31 0 07 Jul 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 34 259 0 30 Jun 2020
Telescoping Density-Ratio Estimation Benjamin Rhodes Kai Xu Michael U. Gutmann 30 94 0 22 Jun 2020
Contrastive Learning for Weakly Supervised Phrase Grounding Tanmay Gupta Arash Vahdat Gal Chechik Xiaodong Yang Jan Kautz Derek Hoiem ObjD SSL 44 141 0 17 Jun 2020
Optimizing Variational Representations of Divergences and Accelerating their Statistical Estimation Jeremiah Birrell Markos A. Katsoulakis Yannis Pantazis 19 22 0 15 Jun 2020
Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling Sina Molavipour Germán Bassi Mikael Skoglund 22 8 0 12 Jun 2020
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs A. Mondal Himanshu Asnani Parag Singla A. Prathosh DRL 13 1 0 10 Jun 2020
Self-supervised Learning from a Multi-view Perspective Yao-Hung Hubert Tsai Yue Wu Ruslan Salakhutdinov Louis-Philippe Morency SSL 25 30 0 10 Jun 2020
Neural Methods for Point-wise Dependency Estimation Yao-Hung Hubert Tsai Han Zhao M. Yamada Louis-Philippe Morency Ruslan Salakhutdinov 33 31 0 09 Jun 2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation A. Mondal A. Bhattacharya Sudipto Mukherjee A. Prathosh Sreeram Kannan Himanshu Asnani 24 15 0 17 May 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 21 170 0 25 Feb 2020
Information Condensing Active Learning Siddhartha Jain Ge Liu David K Gifford VLM 4 2 0 18 Feb 2020
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting Hanwei Wu Ather Gattami M. Flierl AI4TS 19 14 0 18 Feb 2020
ITENE: Intrinsic Transfer Entropy Neural Estimator Jingjing Zhang Osvaldo Simeone Zoran Cvetkovic E. Abela M. Richardson 17 17 0 16 Dec 2019