Deep Variational Information Bottleneck

1 December 2016

Papers citing "Deep Variational Information Bottleneck"

50 / 348 papers shown

Title
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization Lijie Ding Jenny Zhang Jeff Clune Lee Spector Joel Lehman EGVM 37 7 0 18 Oct 2023
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses Eslam Abdelaleem I. Nemenman K. M. Martini 30 5 0 05 Oct 2023
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control Rohit Bokade Xiaoning Jin Chris Amato 38 10 0 03 Oct 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Bo-wen Li Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 34 0 0 03 Oct 2023
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior Ruihan Yang Zhuoqun Chen Jianhan Ma Chongyi Zheng Yiyu Chen Quan Nguyen Junfeng Fang 45 17 0 02 Oct 2023
Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission Lunan Sun Yang Yang Mingzhe Chen Caili Guo 32 3 0 19 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 29 10 0 08 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 46 13 0 31 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding Jiangmeng Li Hang Gao Jingyao Wang Changwen Zheng 27 2 0 21 Aug 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 35 0 0 05 Jul 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 44 13 0 28 Jun 2023
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes Gehua (Marcus) Ma Runhao Jiang Rui Yan Huajin Tang AI4TS 47 6 0 21 Jun 2023
Quantifying Representation Reliability in Self-Supervised Learning Models Young-Jin Park Hao Wang Shervin Ardeshir Navid Azizan SSL UQCV 34 3 0 31 May 2023
Feature Learning in Image Hierarchies using Functional Maximal Correlation Bo Hu Yuheng Bu José C. Príncipe 27 0 0 31 May 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 48 27 0 29 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 36 25 0 29 May 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition Zhen Zhang Mengting Hu Shiwan Zhao Minlie Huang Haotian Wang Lemao Liu Zhirui Zhang Zhe Liu Bingzhe Wu EDL 41 10 0 29 May 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 43 7 0 25 May 2023
Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method Siwei Wang S. Palmer 38 2 0 19 May 2023
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling Shengqiong Wu Hao Fei Yixin Cao Lidong Bing Tat-Seng Chua 50 31 0 19 May 2023
Information-Ordered Bottlenecks for Adaptive Semantic Compression Matthew Ho Xiao-Fen Zhao Benjamin Dan Wandelt 23 5 0 18 May 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Kun Zhang Yulan He 21 2 0 09 May 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning Namkyeong Lee Dongmin Hyun Gyoung S. Na Sungwon Kim Junseok Lee Chanyoung Park 43 23 0 29 Apr 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 27 2 0 08 Apr 2023
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck Shiyao Cui Jiangxia Cao Xin Cong Shuaiyi Nie Quangang Li Tingwen Liu Jinqiao Shi 25 23 0 05 Apr 2023
Generalized Information Bottleneck for Gaussian Variables Wave Ngampruetikorn David J. Schwab 19 1 0 31 Mar 2023
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting Tengfei Huang T. Dahanayaka Kanchana Thilakarathna Philip H. W. Leong H. El Gamal 22 2 0 28 Mar 2023
Towards Open Temporal Graph Neural Networks Kaituo Feng Changsheng Li Xiaolu Zhang Jun Zhou AI4CE 30 15 0 27 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 34 28 0 27 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 49 0 0 24 Mar 2023
Training Invertible Neural Networks as Autoencoders The-Gia Leo Nguyen Lynton Ardizzone Ullrich Kothe BDL DRL SSL 30 9 0 20 Mar 2023
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification Honglin Li Chenglu Zhu Yunlong Zhang Yuxuan Sun Zhongyi Shui Wenwei Kuang S. Zheng Ling Yang 71 57 0 15 Mar 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning Yun Zhu Jianhao Guo Siliang Tang 32 28 0 24 Feb 2023
Sources of Richness and Ineffability for Phenomenally Conscious States Xu Ji Eric Elmoznino George Deane Axel Constant G. Dumas Guillaume Lajoie Jonathan Simon Yoshua Bengio 28 11 0 13 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn VLM 35 9 0 10 Feb 2023
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality Verna Dankers Ivan Titov 33 2 0 31 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 42 124 0 19 Jan 2023
Vision Learners Meet Web Image-Text Pairs Bingchen Zhao Quan Cui Hao Wu Osamu Yoshie Cheng Yang Oisin Mac Aodha VLM 37 5 0 17 Jan 2023
Few-shot Node Classification with Extremely Weak Supervision Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 21 19 0 06 Jan 2023
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 40 10 0 01 Jan 2023
Mutual Information Regularization for Vertical Federated Learning Tianyuan Zou Yang Liu Ya-Qin Zhang AAML FedML 40 7 0 01 Jan 2023
Explanation Regeneration via Information Bottleneck Qintong Li Zhiyong Wu Lingpeng Kong Wei Bi 30 3 0 19 Dec 2022
Semantics-Empowered Communication: A Tutorial-cum-Survey Zhilin Lu Rongpeng Li Kun Lu Xianfu Chen Ekram Hossain Zhifeng Zhao Honggang Zhang 49 19 0 16 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 54 21 0 13 Dec 2022
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection Christophe Ley Jorge F. Silva OOD CML 22 1 0 05 Dec 2022
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information Xudong Kang H. Xie Man-Leung Wong J. Qin 36 0 0 05 Dec 2022
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels Kangyu Weng Aohua Cheng Ziyang Zhang Pei Sun Yang Tian 58 2 0 04 Dec 2022
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 35 5 0 30 Nov 2022
Robust and Fast Measure of Information via Low-rank Representation Yuxin Dong Tieliang Gong Shujian Yu Hong Chen Chen Li 28 1 0 30 Nov 2022
Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer Damjan Kalajdzievski Ximeng Mao Pascal Fortier-Poisson Guillaume Lajoie Blake A. Richards AI4TS 18 3 0 29 Nov 2022