Deep Variational Information Bottleneck

1 December 2016

Papers citing "Deep Variational Information Bottleneck"

30 / 30 papers shown

Title
Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks Ibrahim Talha Ersoy Karoline Wiesner 45 0 0 10 May 2025
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions Qingwen Bu Yanting Yang Jisong Cai Shenyuan Gao Guanghui Ren Maoqing Yao Ping Luo Hongyang Li 283 5 0 09 May 2025
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder Junjie Zhou Jiao Tang Yingli Zuo Peng Wan Daoqiang Zhang Wei Shao 125 1 0 12 Mar 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU 99 1 0 27 Feb 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Romain Chor Milad Sefidgaran Piotr Krasnowski 169 2 0 21 Feb 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent Junda Wu Yuxin Xiong Xintong Li Yu Xia Ruoyu Wang ... Sungchul Kim Ryan Rossi Lina Yao Jingbo Shang Julian McAuley CLL VLM 84 0 0 17 Feb 2025
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement Chengrui Li Yunmiao Wang Yule Wang Weihan Li Dieter Jaeger Anqi Wu CoGe DRL 101 0 0 04 Feb 2025
Dual-BEV Nav: Dual-layer BEV-based Heuristic Path Planning for Robotic Navigation in Unstructured Outdoor Environments Junxuan Zhang Hanlin Dong Jian Yang Jing Liu Shibo Huang Ke Li Xuan Tang Xian Wei Xiong You 116 1 0 30 Jan 2025
Parallelized Autoregressive Visual Generation Yanjie Wang Shuhuai Ren Zhijie Lin Yujin Han Haoyuan Guo Zhenheng Yang Difan Zou Jiashi Feng Xihui Liu VGen 128 12 0 19 Dec 2024
Training Noise Token Pruning Mingxing Rao Bohan Jiang Daniel Moyer ViT 89 0 0 27 Nov 2024
Surveying the space of descriptions of a composite system with machine learning Kieran A. Murphy Yujing Zhang D. Bassett 104 0 0 27 Nov 2024
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification Cheng Jin Luyang Luo Huangjing Lin Jun Hou Hao Chen 88 4 0 12 Nov 2024
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications Omar Erak Omar Alhussein Wen Tong 92 0 0 30 Oct 2024
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 91 2 0 17 Oct 2024
Variational Source-Channel Coding for Semantic Communication Yulong Feng Jing Xu Liujun Hu Guanghui Yu Xiangyang Duan 44 0 0 26 Sep 2024
Task-Augmented Cross-View Imputation Network for Partial Multi-View Incomplete Multi-Label Classification Xiaohuan Lu Lian Zhao Wai Keung Wong Jie Wen Jiang Long Wulin Xie 50 1 0 12 Sep 2024
Information Theoretic Text-to-Image Alignment Chao Wang Giulio Franzese A. Finamore Massimo Gallo Pietro Michiardi 101 0 0 31 May 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 69 8 0 04 Feb 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 59 0 0 08 Dec 2023
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses Eslam Abdelaleem I. Nemenman K. M. Martini 54 5 0 05 Oct 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Yue Liu Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 77 0 0 03 Oct 2023
Variational Positive-incentive Noise: How Noise Benefits Models Hongyuan Zhang Si-Ying Huang Yubin Guo Xuelong Li 54 9 0 13 Jun 2023
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 120 13 0 19 Aug 2021
Information Bottleneck Approach to Spatial Attention Learning Qiuxia Lai Yu Li Ailing Zeng Minhao Liu Hanqiu Sun Qiang Xu 43 9 0 07 Aug 2021
Explaining Representation by Mutual Information Li Gu SSL FAtt 57 0 0 28 Mar 2021
Density of States Estimation for Out-of-Distribution Detection Warren Morningstar Cusuh Ham Andrew Gallagher Balaji Lakshminarayanan Alexander A. Alemi Joshua V. Dillon OODD 53 84 0 16 Jun 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks Roman Pogodin P. Latham 77 35 0 12 Jun 2020
Nonlinear Information Bottleneck Artemy Kolchinsky Brendan D. Tracey David Wolpert 48 154 0 06 May 2017
Deep Variational Canonical Correlation Analysis Weiran Wang Xinchen Yan Honglak Lee Karen Livescu DRL BDL 39 143 0 11 Oct 2016
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 129 1,570 0 09 Mar 2015