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Deep Variational Information Bottleneck

Deep Variational Information Bottleneck

1 December 2016
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
ArXivPDFHTML

Papers citing "Deep Variational Information Bottleneck"

50 / 348 papers shown
Title
Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized Trajectories
Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized Trajectories
Faruk Alpay
24
0
0
14 May 2025
Differentiable Channel Selection in Self-Attention For Person Re-Identification
Differentiable Channel Selection in Self-Attention For Person Re-Identification
Yancheng Wang
Nebojsa Jojic
Yingzhen Yang
29
0
0
13 May 2025
Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks
Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks
Ibrahim Talha Ersoy
Karoline Wiesner
25
0
0
10 May 2025
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
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
197
2
0
09 May 2025
Soft causal learning for generalized molecule property prediction: An environment perspective
Soft causal learning for generalized molecule property prediction: An environment perspective
Limin Li
Kuo Yang
Wenjie Du
Pengkun Wang
Zhengyang Zhou
Yang Wang
OOD
AI4CE
61
0
0
07 May 2025
FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration
FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration
Da-Hee Yang
Jaeuk Lee
Joon-Hyuk Chang
VLM
AI4CE
38
0
0
03 May 2025
MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
Qirui Mi
Mengyue Yang
Xiangning Yu
Zhiyu Zhao
Cheng Deng
Bo An
Haifeng Zhang
Xu Chen
Jun Wang
46
0
0
30 Apr 2025
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Romain Chor
Abdellatif Zaidi
Piotr Krasnowski
49
0
0
25 Apr 2025
SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
Zongye Zhang
Wenrui Cai
Qingjie Liu
Yunhong Wang
42
0
0
16 Apr 2025
AdaWorld: Learning Adaptable World Models with Latent Actions
AdaWorld: Learning Adaptable World Models with Latent Actions
Shenyuan Gao
Siyuan Zhou
Yilun Du
Jun Zhang
Chuang Gan
VGen
73
4
0
24 Mar 2025
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder
Junjie Zhou
Jiao Tang
Yingli Zuo
Peng Wan
Daoqiang Zhang
Wei Shao
60
1
0
12 Mar 2025
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
Weiqi Wang
Chenhan Zhang
Zhiyi Tian
Shushu Liu
Shui Yu
MU
47
0
0
27 Feb 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
78
1
0
27 Feb 2025
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators
Alberto Foresti
Giulio Franzese
Pietro Michiardi
90
0
0
26 Feb 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Romain Chor
Milad Sefidgaran
Piotr Krasnowski
96
1
0
21 Feb 2025
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
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
78
0
0
04 Feb 2025
Shuttle Between the Instructions and the Parameters of Large Language Models
Shuttle Between the Instructions and the Parameters of Large Language Models
Wangtao Sun
Haotian Xu
Huanxuan Liao
Xuanqing Yu
Zhongtao Jiang
Shizhu He
Jun Zhao
Kang Liu
72
0
0
04 Feb 2025
Dual-BEV Nav: Dual-layer BEV-based Heuristic Path Planning for Robotic Navigation in Unstructured Outdoor Environments
Dual-BEV Nav: Dual-layer BEV-based Heuristic Path Planning for Robotic Navigation in Unstructured Outdoor Environments
J. Zhang
Hanlin Dong
Jian Yang
Jing Liu
Shibo Huang
Ke Li
Xuan Tang
Xian Wei
Xiong You
84
1
0
30 Jan 2025
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
Pavel Kolev
Marin Vlastelica
Georg Martius
OffRL
53
0
0
08 Jan 2025
Parallelized Autoregressive Visual Generation
Parallelized Autoregressive Visual Generation
Yunhong Wang
Shuhuai Ren
Zhijie Lin
Yujin Han
Haoyuan Guo
Zhenheng Yang
Difan Zou
Jiashi Feng
Xihui Liu
VGen
95
12
0
19 Dec 2024
Training Noise Token Pruning
Training Noise Token Pruning
Mingxing Rao
Bohan Jiang
Daniel Moyer
ViT
79
0
0
27 Nov 2024
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
Cheng Jin
Luyang Luo
Huangjing Lin
Jun Hou
Hao Chen
57
4
0
12 Nov 2024
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications
Omar Erak
Omar Alhussein
Wen Tong
79
0
0
30 Oct 2024
Cliqueformer: Model-Based Optimization with Structured Transformers
Cliqueformer: Model-Based Optimization with Structured Transformers
J. Kuba
Pieter Abbeel
Sergey Levine
OffRL
AI4CE
62
2
0
17 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot
  Class-Incremental Learning
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
Junghun Oh
Sungyong Baik
Kyoung Mu Lee
CLL
47
3
0
08 Oct 2024
Next state prediction gives rise to entangled, yet compositional
  representations of objects
Next state prediction gives rise to entangled, yet compositional representations of objects
Tankred Saanum
Luca M. Schulze Buschoff
Peter Dayan
Eric Schulz
OCL
CoGe
OOD
42
1
0
07 Oct 2024
Variational Source-Channel Coding for Semantic Communication
Variational Source-Channel Coding for Semantic Communication
Yulong Feng
Jing Xu
Liujun Hu
Guanghui Yu
Xiangyang Duan
28
0
0
26 Sep 2024
Task-Augmented Cross-View Imputation Network for Partial Multi-View Incomplete Multi-Label Classification
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
36
1
0
12 Sep 2024
End-to-end Semantic-centric Video-based Multimodal Affective Computing
End-to-end Semantic-centric Video-based Multimodal Affective Computing
Ronghao Lin
Ying Zeng
Sijie Mai
Haifeng Hu
VGen
53
0
0
14 Aug 2024
RICA2: Rubric-Informed, Calibrated Assessment of Actions
RICA2: Rubric-Informed, Calibrated Assessment of Actions
Abrar Majeedi
Viswanatha Reddy Gajjala
Satya Sai Srinath Namburi Gnvv
Yin Li
CML
34
2
0
04 Aug 2024
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound
  Image Segmentation
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
Shreyank N. Gowda
David A. Clifton
MedIm
44
1
0
31 Jul 2024
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented
  Images
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images
Krithika S. Iyer
Shireen Y. Elhabian
42
0
0
02 Jul 2024
Information Theoretic Text-to-Image Alignment
Information Theoretic Text-to-Image Alignment
Chao Wang
Giulio Franzese
A. Finamore
Massimo Gallo
Pietro Michiardi
75
0
0
31 May 2024
Understanding Encoder-Decoder Structures in Machine Learning Using
  Information Measures
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures
Jorge F. Silva
Victor Faraggi
Camilo Ramírez
Álvaro F. Egaña
Eduardo Pavez
25
1
0
30 May 2024
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical
  Images
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images
Jadie Adams
Krithika S. Iyer
Shireen Y. Elhabian
27
2
0
15 May 2024
Tackling Distribution Shifts in Task-Oriented Communication with
  Information Bottleneck
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck
Hongru Li
Jiawei Shao
Hengtao He
Shenghui Song
Jun Zhang
Khaled B. Letaief
OOD
45
5
0
15 May 2024
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph
  Neural Networks
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
Zhe Zhao
Pengkun Wang
Xu Wang
Haibin Wen
Xiaolong Xie
Zhengyang Zhou
Qingfu Zhang
Yang Wang
AI4CE
CLL
25
0
0
23 Apr 2024
Joint Identifiability of Cross-Domain Recommendation via Hierarchical
  Subspace Disentanglement
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement
Jing Du
Zesheng Ye
Bin Guo
Zhiwen Yu
Lina Yao
36
1
0
06 Apr 2024
Differentiable Information Bottleneck for Deterministic Multi-view
  Clustering
Differentiable Information Bottleneck for Deterministic Multi-view Clustering
Xiaoqiang Yan
Zhixiang Jin
Fengshou Han
Yangdong Ye
43
2
0
23 Mar 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts
  Discovery
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
Linan Yue
Qi Liu
Yichao Du
Li Wang
Weibo Gao
Yanqing An
34
5
0
12 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought
  Distillation
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
Xin Chen
Hanxian Huang
Yanjun Gao
Yi Wang
Jishen Zhao
Ke Ding
45
12
0
05 Mar 2024
Disentangling representations of retinal images with generative models
Disentangling representations of retinal images with generative models
Sarah Muller
Lisa M. Koch
Hendrik P. A. Lensch
Philipp Berens
MedIm
34
3
0
29 Feb 2024
Tighter Bounds on the Information Bottleneck with Application to Deep
  Learning
Tighter Bounds on the Information Bottleneck with Application to Deep Learning
Nir Weingarten
Z. Yakhini
Moshe Butman
Ran Gilad-Bachrach
AAML
30
1
0
12 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
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
51
7
0
04 Feb 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Xiaoyun Xu
Shujian Yu
Jingzheng Wu
S. Picek
AAML
35
0
0
08 Dec 2023
Learning High-Order Relationships of Brain Regions
Learning High-Order Relationships of Brain Regions
Weikang Qiu
Huangrui Chu
Selena Wang
Haolan Zuo
Xiaoxiao Li
Yize Zhao
Rex Ying
42
6
0
02 Dec 2023
TURBO: The Swiss Knife of Auto-Encoders
TURBO: The Swiss Knife of Auto-Encoders
Guillaume Quétant
Yury Belousov
Vitaliy Kinakh
Slava Voloshynovskiy
26
6
0
11 Nov 2023
Machine-learning optimized measurements of chaotic dynamical systems via
  the information bottleneck
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck
Kieran A. Murphy
Danielle Bassett
38
5
0
08 Nov 2023
Elastic Information Bottleneck
Elastic Information Bottleneck
Yuyan Ni
Yanyan Lan
Ao Liu
Zhiming Ma
27
2
0
07 Nov 2023
Expression Syntax Information Bottleneck for Math Word Problems
Expression Syntax Information Bottleneck for Math Word Problems
Jing Xiong
Chengming Li
Min Yang
Xiping Hu
Bin Hu
35
5
0
24 Oct 2023
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