Deep Variational Information Bottleneck

1 December 2016

Papers citing "Deep Variational Information Bottleneck"

50 / 348 papers shown

Title
Probabilistic Representations for Video Contrastive Learning Jungin Park Jiyoung Lee Ig-Jae Kim Kwanghoon Sohn SSL 38 44 0 08 Apr 2022
Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck Youngsik Eom Yeonghyeon Lee Ji Sub Um Hoi-Rim Kim 40 25 0 04 Apr 2022
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors Steven Bohez S. Tunyasuvunakool Philemon Brakel Fereshteh Sadeghi Leonard Hasenclever ... Nathan Batchelor Federico Casarini J. Merel R. Hadsell N. Heess 40 51 0 31 Mar 2022
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 37 45 0 15 Mar 2022
Information-Theoretic Odometry Learning Sen Zhang Jing Zhang Dacheng Tao 23 5 0 11 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective Quan Cui Bingchen Zhao Zhao-Min Chen Borui Zhao Renjie Song Jiajun Liang Boyan Zhou Osamu Yoshie 24 18 0 08 Mar 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck Anirban Samaddar Sandeep Madireddy Prasanna Balaprakash Tapabrata Maiti Gustavo de los Campos Ian Fischer 24 1 0 04 Mar 2022
Compressed Predictive Information Coding Rui Meng Tianyi Luo K. Bouchard 24 1 0 03 Mar 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 35 21 0 28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 68 19 0 28 Feb 2022
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints Dhruv Shah Sergey Levine 132 66 0 23 Feb 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
A Differential Entropy Estimator for Training Neural Networks Georg Pichler Pierre Colombo Malik Boudiaf Günther Koliander Pablo Piantanida 25 21 0 14 Feb 2022
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning S. Chen Jensen Gao S. Reddy Glen Berseth Anca Dragan Sergey Levine OffRL 36 11 0 05 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 18 197 0 31 Jan 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 29 0 0 30 Jan 2022
Conditional entropy minimization principle for learning domain invariant representation features Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 36 7 0 25 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 23 5 0 21 Jan 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks Chenyu Sun Hangwei Qian Chunyan Miao 18 10 0 20 Jan 2022
BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR Ushasi Chaudhuri Ruchika Chavan Biplab Banerjee Anjan Dutta Zeynep Akata 19 17 0 17 Jan 2022
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness Hao Yang Min Wang Zhengfei Yu Yun Zhou OOD AAML 22 3 0 01 Jan 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 30 68 0 31 Dec 2021
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 39 7 0 29 Dec 2021
Computationally Efficient Approximations for Matrix-based Renyi's Entropy Tieliang Gong Yuxin Dong Shujian Yu B. Dong 72 2 0 27 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 26 0 0 20 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
Towards End-to-End Image Compression and Analysis with Transformers Yuanchao Bai Xu Yang Xianming Liu Junjun Jiang Yaowei Wang Xiangyang Ji Wen Gao ViT 31 51 0 17 Dec 2021
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 46 155 0 16 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 36 2 0 14 Dec 2021
Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing Tuan Hoang Thanh-Toan Do Tam V. Nguyen Ngai-man Cheung 22 26 0 13 Dec 2021
Representation Learning for Conversational Data using Discourse Mutual Information Maximization Bishal Santra Sumegh Roychowdhury Aishik Mandal Vasu Gurram Atharva Naik Manish Gupta Pawan Goyal SSL 27 4 0 04 Dec 2021
Learning Conditional Invariance through Cycle Consistency M. Samarin V. Nesterov Mario Wieser Aleksander Wieczorek S. Parbhoo Volker Roth 41 3 0 25 Nov 2021
Deep Representation Learning with an Information-theoretic Loss S. Ando DRL 22 2 0 25 Nov 2021
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy Thibault Castells Seul-Ki Yeom 3DV 23 3 0 18 Nov 2021
Signature-Graph Networks Ali Hamdi Flora D. Salim D. Kim Xiaojun Chang 21 1 0 22 Oct 2021
Cognitive Coding of Speech Reza Lotfidereshgi P. Gournay 38 5 0 08 Oct 2021
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders Lisa Bonheme M. Grzes DRL 21 6 0 26 Sep 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 143 85 0 22 Sep 2021
Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments Jaeuk Shin A. Hakobyan Mingyu Park Yeoneung Kim Gihun Kim Insoon Yang 37 10 0 15 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 41 93 0 14 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 44 0 07 Sep 2021
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis Wei Han Hui Chen Soujanya Poria 42 319 0 01 Sep 2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference Jiawei Shao Yuyi Mao Jun Zhang 24 128 0 01 Sep 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification Bo Pang Ying Nian Wu 24 18 0 26 Aug 2021
Supervised Compression for Resource-Constrained Edge Computing Systems Yoshitomo Matsubara Ruihan Yang Marco Levorato Stephan Mandt 19 58 0 21 Aug 2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization Lu Wen Songan Zhang H. E. Tseng Baljeet Singh Dimitar Filev H. Peng OffRL OnRL 27 1 0 19 Aug 2021
An Information Theory-inspired Strategy for Automatic Network Pruning Xiawu Zheng Yuexiao Ma Teng Xi Gang Zhang Errui Ding Yuchao Li Jie Chen Yonghong Tian Rongrong Ji 54 13 0 19 Aug 2021
Information Bottleneck Approach to Spatial Attention Learning Qiuxia Lai Yu Li Ailing Zeng Minhao Liu Hanqiu Sun Qiang Xu 22 9 0 07 Aug 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 91 19 0 06 Aug 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making S. Reddy Anca Dragan Sergey Levine OffRL 44 13 0 07 Jul 2021