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A Theory of Usable Information Under Computational Constraints

A Theory of Usable Information Under Computational Constraints

25 February 2020
Yilun Xu
Shengjia Zhao
Jiaming Song
Russell Stewart
Stefano Ermon
ArXiv (abs)PDFHTML

Papers citing "A Theory of Usable Information Under Computational Constraints"

50 / 104 papers shown
Title
Aligning Multimodal Representations through an Information Bottleneck
Antonio Almudévar
José Miguel Hernández-Lobato
Sameer Khurana
R. Marxer
Alfonso Ortega
SSL
106
0
0
05 Jun 2025
How much do language models memorize?
How much do language models memorize?
John X. Morris
Chawin Sitawarin
Chuan Guo
Narine Kokhlikyan
G. E. Suh
Alexander M. Rush
Kamalika Chaudhuri
Saeed Mahloujifar
KELMELM
27
0
0
30 May 2025
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Johannes Kaiser
Kristian Schwethelm
Daniel Rueckert
Georgios Kaissis
52
0
0
21 May 2025
Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability -- The Strange Science Part I.ii
Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability -- The Strange Science Part I.ii
Kola Ayonrinde
Louis Jaburi
XAI
147
1
0
02 May 2025
On the generalization of language models from in-context learning and finetuning: a controlled study
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew Kyle Lampinen
Arslan Chaudhry
Stephanie Chan
Cody Wild
Diane Wan
Alex Ku
Jorg Bornschein
Razvan Pascanu
Murray Shanahan
James L. McClelland
169
5
0
01 May 2025
Distilling semantically aware orders for autoregressive image generation
Distilling semantically aware orders for autoregressive image generation
Rishav Pramanik
Antoine Poupon
Juan A. Rodriguez
Masih Aminbeidokhti
David Vazquez
Christopher Pal
Zhaozheng Yin
M. Pedersoli
78
0
0
23 Apr 2025
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement
Xiaowei Yuan
Zhao Yang
Ziyang Huang
Yucheng Wang
Siqi Fan
Yiming Ju
Jun Zhao
Kang Liu
77
0
0
22 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya
Sujay Sanghavi
Alexandros G. Dimakis
Inderjit S Dhillon
AAML
181
0
0
01 Apr 2025
Fundamental Limits of Perfect Concept Erasure
Fundamental Limits of Perfect Concept Erasure
Somnath Basu Roy Chowdhury
Avinava Dubey
Ahmad Beirami
Rahul Kidambi
Nicholas Monath
Amr Ahmed
Snigdha Chaturvedi
107
1
0
25 Mar 2025
Statistical Deficiency for Task Inclusion Estimation
Loïc Fosse
Frédéric Béchet
Benoit Favre
Géraldine Damnati
Gwénolé Lecorvé
Maxime Darrin
Philippe Formont
Pablo Piantanida
528
0
0
07 Mar 2025
Geometric Median (GM) Matching for Robust Data Pruning
Geometric Median (GM) Matching for Robust Data Pruning
Anish Acharya
Inderjit S Dhillon
Sujay Sanghavi
AAML
139
0
0
20 Jan 2025
Understanding the Role of Equivariance in Self-supervised Learning
Understanding the Role of Equivariance in Self-supervised Learning
Yifei Wang
Kaiwen Hu
Sharut Gupta
Ziyu Ye
Yisen Wang
Stefanie Jegelka
SSL
97
2
0
10 Nov 2024
Identifying Task Groupings for Multi-Task Learning Using Pointwise
  V-Usable Information
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information
Yingya Li
Timothy A. Miller
Steven Bethard
G. Savova
75
2
0
16 Oct 2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on
  Unstructured Datasets
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
Kyungeun Lee
Wonjong Rhee
75
5
0
14 Oct 2024
Label-Augmented Dataset Distillation
Label-Augmented Dataset Distillation
Seoungyoon Kang
Youngsun Lim
Hyunjung Shim
DD
85
2
0
24 Sep 2024
Disentanglement with Factor Quantized Variational Autoencoders
Disentanglement with Factor Quantized Variational Autoencoders
Gulcin Baykal
M. Kandemir
Gözde B. Ünal
CoGeDRL
77
0
0
23 Sep 2024
Understanding Visual Feature Reliance through the Lens of Complexity
Understanding Visual Feature Reliance through the Lens of Complexity
Thomas Fel
Louis Bethune
Andrew Kyle Lampinen
Thomas Serre
Katherine Hermann
FAttCoGe
92
9
0
08 Jul 2024
Free-text Rationale Generation under Readability Level Control
Free-text Rationale Generation under Readability Level Control
Yi-Sheng Hsu
Nils Feldhus
Sherzod Hakimov
112
2
0
01 Jul 2024
Establishing Deep InfoMax as an effective self-supervised learning
  methodology in materials informatics
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics
Michael Moran
Vladimir V. Gusev
M. Gaultois
Dmytro Antypov
M. Rosseinsky
AI4CE
66
0
0
30 Jun 2024
On Subjective Uncertainty Quantification and Calibration in Natural
  Language Generation
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
Ziyu Wang
Chris Holmes
UQLM
162
7
0
07 Jun 2024
Sexism Detection on a Data Diet
Sexism Detection on a Data Diet
Rabiraj Bandyopadhyay
Dennis Assenmacher
J. Alonso-Moral
Claudia Wagner
69
0
0
07 Jun 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang
Peng Sun
Tao Lin
111
3
0
23 May 2024
DispaRisk: Auditing Fairness Through Usable Information
DispaRisk: Auditing Fairness Through Usable Information
Jonathan Vasquez
Carlotta Domeniconi
Huzefa Rangwala
61
0
0
20 May 2024
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks
  under Federated Learning, A Survey and Taxonomy
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy
Yichuan Shi
Olivera Kotevska
Viktor Reshniak
Abhishek Singh
Ramesh Raskar
AAML
79
1
0
16 May 2024
Towards Task-Compatible Compressible Representations
Towards Task-Compatible Compressible Representations
Anderson de Andrade
Ivan V. Bajić
87
1
0
16 May 2024
Cauchy-Schwarz Divergence Information Bottleneck for Regression
Cauchy-Schwarz Divergence Information Bottleneck for Regression
Shujian Yu
Xi Yu
Sigurd Løkse
Robert Jenssen
José C. Príncipe
UQCV
80
5
0
27 Apr 2024
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal
  Summarization and Text-Units-Text Generation
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation
Yue Zhou
Barbara Di Eugenio
Brian Ziebart
Lisa Sharp
Bing Liu
Nikolaos Agadakos
59
3
0
16 Apr 2024
When Do We Not Need Larger Vision Models?
When Do We Not Need Larger Vision Models?
Baifeng Shi
Ziyang Wu
Maolin Mao
Xin Wang
Trevor Darrell
VLMLRM
119
49
0
19 Mar 2024
RORA: Robust Free-Text Rationale Evaluation
RORA: Robust Free-Text Rationale Evaluation
Zhengping Jiang
Yining Lu
Hanjie Chen
Daniel Khashabi
Benjamin Van Durme
Anqi Liu
90
3
0
28 Feb 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
284
22
0
28 Feb 2024
Privacy-Preserving Map-Free Exploration for Confirming the Absence of a
  Radioactive Source
Privacy-Preserving Map-Free Exploration for Confirming the Absence of a Radioactive Source
Eric Lepowsky
David Snyder
Alexander Glaser
Anirudha Majumdar
90
0
0
27 Feb 2024
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing
  Study
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study
Tianjie Ju
Weiwei Sun
Wei Du
Xinwei Yuan
Zhaochun Ren
Gongshen Liu
KELM
68
33
0
25 Feb 2024
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers
Weizhe Lin
Jingbiao Mei
Jinghong Chen
Bill Byrne
VLMAI4Ed
120
21
0
13 Feb 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information
NetInfoF Framework: Measuring and Exploiting Network Usable Information
Meng-Chieh Lee
Haiyang Yu
Jian Zhang
V. Ioannidis
Xiang Song
Soji Adeshina
Da Zheng
Christos Faloutsos
89
1
0
12 Feb 2024
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and
  Calibration in Legal Case Outcome Classification
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification
Shanshan Xu
Santosh T.Y.S.S
O. Ichim
Barbara Plank
Matthias Grabmair
95
4
0
11 Feb 2024
Arrows of Time for Large Language Models
Arrows of Time for Large Language Models
Vassilis Papadopoulos
Jérémie Wenger
Clément Hongler
74
10
0
30 Jan 2024
TVE: Learning Meta-attribution for Transferable Vision Explainer
TVE: Learning Meta-attribution for Transferable Vision Explainer
Guanchu Wang
Yu-Neng Chuang
Fan Yang
Mengnan Du
Chia-Yuan Chang
...
Zirui Liu
Zhaozhuo Xu
Kaixiong Zhou
Xuanting Cai
Helen Zhou
111
1
0
23 Dec 2023
Pipeline and Dataset Generation for Automated Fact-checking in Almost
  Any Language
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
Jan Drchal
Herbert Ullrich
Tomás Mlynár
Václav Moravec
HILM
96
3
0
15 Dec 2023
Understanding Probe Behaviors through Variational Bounds of Mutual
  Information
Understanding Probe Behaviors through Variational Bounds of Mutual Information
Kwanghee Choi
Jee-weon Jung
Shinji Watanabe
SSL
99
5
0
15 Dec 2023
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset
  Distillation Paradigm
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
Peng Sun
Bei Shi
Daiwei Yu
Tao Lin
DD
100
51
0
06 Dec 2023
Measuring Adversarial Datasets
Measuring Adversarial Datasets
Yuanchen Bai
Raoyi Huang
Vijay Viswanathan
Tzu-Sheng Kuo
Tongshuang Wu
83
1
0
06 Nov 2023
SoK: Memorisation in machine learning
SoK: Memorisation in machine learning
Dmitrii Usynin
Moritz Knolle
Georgios Kaissis
97
1
0
06 Nov 2023
People Make Better Edits: Measuring the Efficacy of LLM-Generated
  Counterfactually Augmented Data for Harmful Language Detection
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
Indira Sen
Dennis Assenmacher
Mattia Samory
Isabelle Augenstein
Wil M.P. van der Aalst
Claudia Wagner
79
21
0
02 Nov 2023
Learning Fair Representations with High-Confidence Guarantees
Learning Fair Representations with High-Confidence Guarantees
Yuhong Luo
Austin Hoag
Philip S Thomas
FaMLAI4TS
195
1
0
23 Oct 2023
Frozen Transformers in Language Models Are Effective Visual Encoder
  Layers
Frozen Transformers in Language Models Are Effective Visual Encoder Layers
Ziqi Pang
Ziyang Xie
Yunze Man
Yu-Xiong Wang
144
27
0
19 Oct 2023
Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly
Measuring Pointwise V\mathcal{V}V-Usable Information In-Context-ly
Sheng Lu
Shan Chen
Yingya Li
Danielle Bitterman
G. Savova
Iryna Gurevych
47
0
0
18 Oct 2023
A State-Vector Framework for Dataset Effects
A State-Vector Framework for Dataset Effects
E. Sahak
Zining Zhu
Frank Rudzicz
55
1
0
17 Oct 2023
Measuring Information in Text Explanations
Measuring Information in Text Explanations
Zining Zhu
Frank Rudzicz
FAtt
66
0
0
06 Oct 2023
A Geometric Notion of Causal Probing
A Geometric Notion of Causal Probing
Clément Guerner
Anej Svete
Tianyu Liu
Alex Warstadt
Ryan Cotterell
LLMSV
100
17
0
27 Jul 2023
Operationalising Representation in Natural Language Processing
Operationalising Representation in Natural Language Processing
J. Harding
121
13
0
14 Jun 2023
123
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