Deep Variational Information Bottleneck

1 December 2016

Papers citing "Deep Variational Information Bottleneck"

50 / 348 papers shown

Title
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 39 78 0 21 Nov 2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations Linlin Liu Xingxuan Li Megh Thakkar Xin Li Chenyu You Luo Si Lidong Bing 29 2 0 16 Nov 2022
Masked Reconstruction Contrastive Learning with Information Bottleneck Principle Ziwen Liu Bonan li Congying Han Tiande Guo Xuecheng Nie SSL 34 2 0 15 Nov 2022
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning João Machado de Freitas Bernhard C. Geiger 32 3 0 02 Nov 2022
A robust estimator of mutual information for deep learning interpretability Davide Piras H. Peiris A. Pontzen Luisa Lucie-Smith Ningyuan Guo Brian D. Nord SSL DRL 32 15 0 31 Oct 2022
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations Sijie Mai Ying Zeng Haifeng Hu 42 68 0 31 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 28 15 0 27 Oct 2022
Characterizing information loss in a chaotic double pendulum with the Information Bottleneck Kieran A. Murphy Danielle Bassett 13 0 0 25 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 30 1 0 25 Oct 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 27 0 0 22 Oct 2022
Variational Graph Generator for Multi-View Graph Clustering Jianpeng Chen Yawen Ling Jie Xu Yazhou Ren Shudong Huang X. Pu Zhifeng Hao Philip S. Yu Lifang He 43 5 0 13 Oct 2022
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features Changde Du Kaicheng Fu Jinpeng Li Huiguang He VLM 45 68 0 13 Oct 2022
Multi-objective Deep Data Generation with Correlated Property Control Shiyu Wang Xiaojie Guo Xuanyang Lin Bo Pan Yuanqi Du ... S. Alkhalifa K. Minbiole Bill Wuest Amarda Shehu Liang Zhao AI4CE 54 14 0 01 Oct 2022
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder Jianning Li Jana Fragemann Seyed-Ahmad Ahmadi Jens Kleesiek Jan Egger DRL 32 4 0 29 Sep 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 40 3 0 24 Sep 2022
Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation Songjie Xie Shuaijie Ma Ming Ding Yuanming Shi Ming-Fu Tang Youlong Wu 55 70 0 21 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 42 35 0 19 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 27 6 0 16 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 42 21 0 15 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving Haochen Liu Zhiyu Huang Xiaoyu Mo Chen Lv ViT OffRL 37 34 0 24 Aug 2022
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control Nolan Wagener Andrey Kolobov Felipe Vieira Frujeri Ricky Loynd Ching-An Cheng Matthew J. Hausknecht 32 21 0 15 Aug 2022
Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems Yufei Bo Yiheng Duan Shuo Shao M. Tao 29 23 0 11 Aug 2022
Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics Renjie Xie Wei Xu Jiabao Yu A. Hu Derrick Wing Kwan Ng A. L. Swindlehurst 40 18 0 04 Aug 2022
SdAE: Self-distillated Masked Autoencoder Yabo Chen Yuchen Liu Dongsheng Jiang Xiaopeng Zhang Wenrui Dai H. Xiong Qi Tian ViT 26 70 0 31 Jul 2022
A Variational AutoEncoder for Transformers with Nonparametric Variational Information Bottleneck James Henderson Fabio Fehr DRL 27 3 0 27 Jul 2022
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem Yudong Han Liqiang Nie Jianhua Yin Jianlong Wu Yan Yan 26 13 0 24 Jul 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications Deniz Gunduz Zhijin Qin Iñaki Estella Aguerri Harpreet S. Dhillon Zhaohui Yang Aylin Yener Kai‐Kit Wong C. Chae 32 434 0 19 Jul 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb Riashat Islam Yonathan Efroni Aniket Didolkar Dipendra Kumar Misra Dylan J. Foster Lekan Molu Rajan Chari A. Krishnamurthy John Langford 46 24 0 17 Jul 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 43 21 0 13 Jul 2022
Image Coding for Machines with Omnipotent Feature Learning Ruoyu Feng Xin Jin Zongyu Guo Runsen Feng Yixin Gao Tianyu He Zhizheng Zhang Simeng Sun Zhibo Chen VLM 40 36 0 05 Jul 2022
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning Zhi Chen Yadan Luo Sen Wang Jingjing Li Zi Huang 21 14 0 05 Jul 2022
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy D. Zeng Tailin Wu J. Leskovec GNN 25 1 0 04 Jul 2022
Variational Distillation for Multi-View Learning Xudong Tian Zhizhong Zhang Cong Wang Wensheng Zhang Yanyun Qu Lizhuang Ma Zongze Wu Yuan Xie Dacheng Tao 26 5 0 20 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift? Yuge Shi Imant Daunhawer Julia E. Vogt Philip Torr Amartya Sanyal OOD 40 25 0 17 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 39 29 0 16 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 29 5 0 01 Jun 2022
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor Wanqi Xue Qingpeng Cai Ruohan Zhan Dong Zheng Peng Jiang Kun Gai Bo An OffRL 32 24 0 01 Jun 2022
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering João Machado de Freitas Sebastian Berg Bernhard C. Geiger Manfred Mücke 21 1 0 31 May 2022
RevUp: Revise and Update Information Bottleneck for Event Representation Mehdi Rezaee Francis Ferraro 35 0 0 24 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 53 18 0 23 May 2022
Blackbird's language matrices (BLMs): a new benchmark to investigate disentangled generalisation in neural networks Paola Merlo A. An M. A. Rodriguez 38 9 0 22 May 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 40 10 0 17 May 2022
Optimal Randomized Approximations for Matrix based Renyi's Entropy Yuxin Dong Tieliang Gong Shujian Yu Chen Li 32 7 0 16 May 2022
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach Jadie Adams Shireen Y. Elhabian 92 19 0 13 May 2022
Semantic Information Recovery in Wireless Networks Edgar Beck C. Bockelmann Armin Dekorsy 31 22 0 28 Apr 2022
Online Deep Learning from Doubly-Streaming Data H. Lian John Scovil Atwood Bo-Jian Hou Jian Wu Yi He 26 10 0 25 Apr 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 31 40 0 25 Apr 2022
Imitation Learning from Observations under Transition Model Disparity Tanmay Gangwani Yuanfei Zhou Jian-wei Peng 24 12 0 25 Apr 2022
Multi-view Information Bottleneck Without Variational Approximation Qi Zhang Shujian Yu J. Xin Badong Chen 28 10 0 22 Apr 2022