Deep Variational Information Bottleneck

1 December 2016

Papers citing "Deep Variational Information Bottleneck"

50 / 348 papers shown

Title
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 39 1 0 05 Jul 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 32 32 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 32 9 0 25 Jun 2021
KL Guided Domain Adaptation A. Nguyen Toan M. Tran Y. Gal Philip Torr A. G. Baydin OOD 36 39 0 14 Jun 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 15 253 0 11 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 37 106 0 11 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 49 18 0 07 Jun 2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck N. Skatchkovsky Osvaldo Simeone Hyeryung Jang 38 20 0 02 Jun 2021
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs Lorena Qendro Sangwon Ha R. D. Jong Partha P. Maji AAML FedML MQ 21 7 0 13 May 2021
Unsupervised Hashing with Contrastive Information Bottleneck Zexuan Qiu Qinliang Su Zijing Ou Jianxing Yu Changyou Chen SSL 17 84 0 13 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 48 63 0 30 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 32 70 0 12 Apr 2021
Information-theoretic regularization for Multi-source Domain Adaptation Geon Yeong Park Sang Wan Lee TTA 27 25 0 04 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 52 17 0 01 Apr 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 29 39 0 29 Mar 2021
Explaining Representation by Mutual Information Li Gu SSL FAtt 37 0 0 28 Mar 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression Wanhua Li Xiaoke Huang Jiwen Lu Jianjiang Feng Jie Zhou UQCV 34 62 0 25 Mar 2021
Information-based Disentangled Representation Learning for Unsupervised MR Harmonization Lianrui Zuo Blake E. Dewey A. Carass Yihao Liu Yufan He P. Calabresi Jerry L. Prince 29 37 0 24 Mar 2021
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation Zhe Xie Chengxuan Liu Yichi Zhang Hongtao Lu Dong Wang Yue Ding BDL DRL 36 91 0 19 Mar 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization Jizong Peng M. Pedersoli Christian Desrosiers SSL 27 21 0 08 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 33 41 0 05 Mar 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework Tao Yang Xuanchi Ren Yuwang Wang W. Zeng Nanning Zheng CoGe DRL 24 27 0 20 Feb 2021
Learning Invariant Representations using Inverse Contrastive Loss A. K. Akash Vishnu Suresh Lokhande Sathya Ravi Vikas Singh SSL 21 8 0 16 Feb 2021
Scalable Vector Gaussian Information Bottleneck Mohammad Mahdi Mahvari M. Kobayashi Milad Sefidgaran 19 2 0 15 Feb 2021
Information flows of diverse autoencoders Sungyeop Lee Junghyo Jo 24 11 0 15 Feb 2021
A Provably Convergent Information Bottleneck Solution via ADMM Tengfei Huang Aly El Gamal 25 6 0 09 Feb 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 52 212 0 08 Feb 2021
A Variational Information Bottleneck Approach to Multi-Omics Data Integration Changhee Lee M. Schaar DRL 20 74 0 05 Feb 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 56 51 0 14 Jan 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information Zhengqi He Taro Toyoizumi 19 1 0 08 Jan 2021
Neural Joint Entropy Estimation Yuval Shalev Amichai Painsky I. Ben-Gal 34 8 0 21 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 157 420 0 11 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 27 6 0 09 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 36 22 0 05 Dec 2020
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization Sharu Theresa Jose Osvaldo Simeone 13 9 0 25 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
PAC $^m$ -Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime Warren Morningstar Alexander A. Alemi Joshua V. Dillon 87 16 0 19 Oct 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
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 30 153 0 12 Oct 2020
3DMolNet: A Generative Network for Molecular Structures V. Nesterov Mario Wieser Volker Roth AI4CE 173 33 0 08 Oct 2020
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition Ayush Srivastava Oshin Dutta A. Prathosh Sumeet Agarwal Jigyasa Gupta 17 8 0 03 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 33 10 0 02 Oct 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers Hanjie Chen Yangfeng Ji AAML VLM 15 63 0 01 Oct 2020
Deep matrix factorizations Pierre De Handschutter Nicolas Gillis Xavier Siebert BDL 32 40 0 01 Oct 2020
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 23 34 0 28 Sep 2020
Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois Douwe Kiela D. Schwab Ramakrishna Vedantam 31 43 0 27 Sep 2020
Variational Disentanglement for Rare Event Modeling Zidi Xiu Chenyang Tao M. Gao Connor Davis B. Goldstein Ricardo Henao CML DRL 32 6 0 17 Sep 2020
Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View Erick Galinkin AAML 15 0 0 16 Sep 2020
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization Tianhao Wang Yuheng Zhang R. Jia 30 74 0 11 Sep 2020
Information Theoretic Meta Learning with Gaussian Processes Michalis K. Titsias Francisco J. R. Ruiz Sotirios Nikoloutsopoulos Alexandre Galashov FedML 33 15 0 07 Sep 2020