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Publication search results
found 249 matches
- 2024
- Kshitiz Tiwari, Lu Zhang:
Implications of Minimum Description Length for Adversarial Attack in Natural Language Processing. Entropy 26(5): 354 (2024) - Louis Mahon, Thomas Lukasiewicz:
Minimum description length clustering to measure meaningful image complexity. Pattern Recognit. 145: 109889 (2024) - Bo Liu, Jianfeng Zhang, Wenpeng Luan, Bochao Zhao, Zishuai Liu, Yixin Yu:
Adaptive Multitimescale Event Detection in Nonintrusive Load Monitoring Based on Minimum Description Length Principle. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - Nur Lan, Emmanuel Chemla, Roni Katzir:
Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length. ACL (1) 2024: 13198-13210 - Inderjeet Nair, Lu Wang:
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. ACL (1) 2024: 7047-7065 - Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski:
Minimum Description Length and Generalization Guarantees for Representation Learning. CoRR abs/2402.03254 (2024) - Nur Geffen Lan, Emmanuel Chemla, Roni Katzir:
Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length. CoRR abs/2402.10013 (2024) - Tiago P. Peixoto:
Network reconstruction via the minimum description length principle. CoRR abs/2405.01015 (2024) - Inderjeet Nair, Lu Wang:
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. CoRR abs/2405.05189 (2024) - 2023
- Kenji Yamanishi:
Learning with the Minimum Description Length Principle. Springer 2023, ISBN 978-981-99-1789-1, pp. 1-339 - Marina Ermolaeva:
Evaluating syntactic proposals using minimalist grammars and minimum description length. J. Lang. Model. 11(1) (2023) - Raaz Dwivedi, Chandan Singh, Bin Yu, Martin J. Wainwright:
Revisiting minimum description length complexity in overparameterized models. J. Mach. Learn. Res. 24: 268:1-268:59 (2023) - Francesco Bariatti:
Résumé de la thèse "Mining Tractable Sets of Graph Patterns with the Minimum Description Length Principle". EGC 2023: 15-16 - Ted Moskovitz, Ta-Chu Kao, Maneesh Sahani, Matt M. Botvinick:
Minimum Description Length Control. ICLR 2023 - Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski:
Minimum Description Length and Generalization Guarantees for Representation Learning. NeurIPS 2023 - Naren Sarayu Manoj, Nathan Srebro:
Interpolation Learning With Minimum Description Length. CoRR abs/2302.07263 (2023) - Louis Mahon, Thomas Lukasiewicz:
Minimum Description Length Clustering to Measure Meaningful Image Complexity. CoRR abs/2306.14937 (2023) - Matan Abudy, Nur Geffen Lan, Emmanuel Chemla, Roni Katzir:
Minimum Description Length Hopfield Networks. CoRR abs/2311.06518 (2023) - 2022
- Esther Galbrun:
The minimum description length principle for pattern mining: a survey. Data Min. Knowl. Discov. 36(5): 1679-1727 (2022) - Vittoria Bruni, Maria Lucia Cardinali, Domenico Vitulano:
A Short Review on Minimum Description Length: An Application to Dimension Reduction in PCA. Entropy 24(2): 269 (2022) - Rafael Grompone von Gioi, Ignacio Ramírez Paulino, Gregory Randall:
The Whole and the Parts: The Minimum Description Length Principle and the A-Contrario Framework. SIAM J. Imaging Sci. 15(3): 1282-1313 (2022) - Nur Geffen Lan, Michal Geyer, Emmanuel Chemla, Roni Katzir:
Minimum Description Length Recurrent Neural Networks. Trans. Assoc. Comput. Linguistics 10: 785-799 (2022) - Amirkasra Jalaldoust, Katerina Hlavácková-Schindler, Claudia Plant:
Causal Discovery in Hawkes Processes by Minimum Description Length. AAAI 2022: 6978-6987 - Harsh Singh, Ognjen Arandjelovic:
Data Efficient Support Vector Machine Training Using the Minimum Description Length Principle. ICASSP 2022: 1361-1365 - Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. ICDE 2022: 68-80 - Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS 2022 - Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. CoRR abs/2204.12704 (2022) - Amirkasra Jalaldoust, Katerina Hlavácková-Schindler, Claudia Plant:
Causal Discovery in Hawkes Processes by Minimum Description Length. CoRR abs/2206.06124 (2022) - Ted Moskovitz, Ta-Chu Kao, Maneesh Sahani, Matthew M. Botvinick:
Minimum Description Length Control. CoRR abs/2207.08258 (2022) - Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR abs/2210.14545 (2022)
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