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The Dual Information Bottleneck

The Dual Information Bottleneck

8 June 2020
Zoe Piran
Ravid Shwartz-Ziv
Naftali Tishby
ArXiv (abs)PDFHTML

Papers citing "The Dual Information Bottleneck"

12 / 12 papers shown
Label Smoothing is a Pragmatic Information Bottleneck
Label Smoothing is a Pragmatic Information Bottleneck
Sota Kudo
150
0
0
12 Aug 2025
Robust Few-Shot Named Entity Recognition with Boundary Discrimination
  and Correlation Purification
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation PurificationAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiaojun Xue
Chunxia Zhang
Tianxiang Xu
Zhendong Niu
280
6
0
13 Dec 2023
Dynamic Encoding and Decoding of Information for Split Learning in
  Mobile-Edge Computing: Leveraging Information Bottleneck Theory
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck TheoryGlobal Communications Conference (GLOBECOM), 2023
Omar Alhussein
Moshi Wei
A. Akhavain
246
5
0
06 Sep 2023
Homological Neural Networks: A Sparse Architecture for Multivariate
  Complexity
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
Yuanrong Wang
Antonio Briola
T. Aste
263
8
0
27 Jun 2023
To Compress or Not to Compress- Self-Supervised Learning and Information
  Theory: A Review
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A ReviewEntropy (Entropy), 2023
Ravid Shwartz-Ziv
Yann LeCun
SSL
618
114
0
19 Apr 2023
An Information-Theoretic Perspective on Variance-Invariance-Covariance
  Regularization
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
Ravid Shwartz-Ziv
Randall Balestriero
Kenji Kawaguchi
Tim G. J. Rudner
Yann LeCun
395
31
0
01 Mar 2023
What Do We Maximize in Self-Supervised Learning?
What Do We Maximize in Self-Supervised Learning?
Ravid Shwartz-Ziv
Randall Balestriero
Yann LeCun
SSL
232
22
0
20 Jul 2022
Variational Distillation for Multi-View Learning
Variational Distillation for Multi-View LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xudong Tian
Zhizhong Zhang
Cong Wang
Wensheng Zhang
Yanyun Qu
Lizhuang Ma
Zongze Wu
Yuan Xie
Dacheng Tao
289
18
0
20 Jun 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative
  Priors
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative PriorsNeural Information Processing Systems (NeurIPS), 2022
Ravid Shwartz-Ziv
Micah Goldblum
Hossein Souri
Sanyam Kapoor
Chen Zhu
Yann LeCun
A. Wilson
UQCVBDL
223
52
0
20 May 2022
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an
  Information Theoretic Perspective
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Xiao Wang
Jiajun Sun
Li Xiong
Yicheng Zou
Tao Gui
Tao Gui
Liang Qiao
Zhanzhan Cheng
Xuanjing Huang
253
34
0
09 Apr 2022
Tabular Data: Deep Learning is Not All You Need
Tabular Data: Deep Learning is Not All You NeedInformation Fusion (Inf. Fusion), 2021
Ravid Shwartz-Ziv
Amitai Armon
LMTD
469
1,852
0
06 Jun 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal
  Person Re-Identification
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-IdentificationComputer Vision and Pattern Recognition (CVPR), 2021
Xudong Tian
Zhizhong Zhang
Shaohui Lin
Yanyun Qu
Yuan Xie
Lizhuang Ma
266
158
0
07 Apr 2021
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