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A Minimum Description Length Approach to Regularization in Neural Networks
v1v2 (latest)

A Minimum Description Length Approach to Regularization in Neural Networks

19 May 2025
Matan Abudy
Orr Well
Emmanuel Chemla
Roni Katzir
Nur Lan
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "A Minimum Description Length Approach to Regularization in Neural Networks"

4 / 4 papers shown
Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers
Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers
Peter Shaw
James Cohan
Jacob Eisenstein
Kristina Toutanova
203
1
0
26 Sep 2025
InductionBench: LLMs Fail in the Simplest Complexity Class
InductionBench: LLMs Fail in the Simplest Complexity ClassAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Qingfeng Lan
Tyler Wong
Sun Fei
Liangming Pan
Adam Jardine
William Yang Wang
LRM
443
8
0
20 Feb 2025
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsInternational Conference on Learning Representations (ICLR), 2024
Yaniv Nikankin
Anja Reusch
Aaron Mueller
Yonatan Belinkov
AIFinLRM
380
61
0
28 Oct 2024
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
Marianna Nezhurina
Lucia Cipolina-Kun
Mehdi Cherti
J. Jitsev
LLMAGLRMELMReLM
820
58
0
04 Jun 2024
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