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Machine Learning

Authors and titles for recent submissions

[ total of 632 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 626-632 ]
[ showing 25 entries per page: fewer | more | all ]

Wed, 24 Apr 2024 (showing first 25 of 129 entries)

[1]  arXiv:2404.15274 [pdf, other]
Title: Metric-guided Image Reconstruction Bounds via Conformal Prediction
Authors: Matt Y Cheung, Tucker J Netherton, Laurence E Court, Ashok Veeraraghavan, Guha Balakrishnan
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV); Medical Physics (physics.med-ph)
[2]  arXiv:2404.15255 [pdf, other]
Title: How to use and interpret activation patching
Authors: Stefan Heimersheim, Neel Nanda
Comments: A tutorial on activation patching. 13 pages, 2 figures
Subjects: Machine Learning (cs.LG)
[3]  arXiv:2404.15242 [pdf, other]
Title: A Hybrid Kernel-Free Boundary Integral Method with Operator Learning for Solving Parametric Partial Differential Equations In Complex Domains
Authors: Shuo Ling, Liwei Tan, Wenjun Ying
Comments: 30 pages,6 figures
Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)
[4]  arXiv:2404.15225 [pdf, other]
Title: PHLP: Sole Persistent Homology for Link Prediction -- Interpretable Feature Extraction
Authors: Junwon You, Eunwoo Heo, Jae-Hun Jung
Subjects: Machine Learning (cs.LG); Computational Geometry (cs.CG); Algebraic Topology (math.AT); Machine Learning (stat.ML)
[5]  arXiv:2404.15209 [pdf, other]
Title: Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
Authors: Elynn Chen, Xi Chen, Wenbo Jing
Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)
[6]  arXiv:2404.15201 [pdf, other]
Title: CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT
Authors: Mikkel Odgaard, Kiril Vadimovic Klein, Sanne Møller Thysen, Espen Jimenez-Solem, Martin Sillesen, Mads Nielsen
Comments: 11 pages, 5 figures
Subjects: Machine Learning (cs.LG)
[7]  arXiv:2404.15199 [pdf, other]
Title: Reinforcement Learning with Adaptive Control Regularization for Safe Control of Critical Systems
Authors: Haozhe Tian, Homayoun Hamedmoghadam, Robert Shorten, Pietro Ferraro
Subjects: Machine Learning (cs.LG)
[8]  arXiv:2404.15198 [pdf, other]
Title: Lossless and Near-Lossless Compression for Foundation Models
Authors: Moshik Hershcovitch, Leshem Choshen, Andrew Wood, Ilias Enmouri, Peter Chin, Swaminathan Sundararaman, Danny Harnik
Subjects: Machine Learning (cs.LG); Information Theory (cs.IT)
[9]  arXiv:2404.15182 [pdf, other]
Title: FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
Authors: Duy Phuong Nguyen, J. Pablo Munoz, Ali Jannesari
Comments: 10 pages, 11 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[10]  arXiv:2404.15146 [pdf, other]
Title: Rethinking LLM Memorization through the Lens of Adversarial Compression
Authors: Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Comments: this https URL
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
[11]  arXiv:2404.15109 [pdf, other]
Title: Compete and Compose: Learning Independent Mechanisms for Modular World Models
Authors: Anson Lei, Frederik Nolte, Bernhard Schölkopf, Ingmar Posner
Subjects: Machine Learning (cs.LG)
[12]  arXiv:2404.15095 [pdf, ps, other]
Title: Using ARIMA to Predict the Expansion of Subscriber Data Consumption
Authors: Mike Wa Nkongolo
Subjects: Machine Learning (cs.LG)
[13]  arXiv:2404.15084 [pdf, other]
Title: Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It
Authors: Yuta Saito, Masahiro Nomura
Comments: IJCAI'24
Subjects: Machine Learning (cs.LG)
[14]  arXiv:2404.15065 [pdf, other]
Title: Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Authors: Tobias Ladner, Michael Eichelbeck, Matthias Althoff
Comments: under review
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[15]  arXiv:2404.15034 [pdf, other]
Title: Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
Authors: Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang
Comments: Accepted by AAAI2020 workshop
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[16]  arXiv:2404.15029 [pdf, other]
Title: Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality
Authors: Ana Letícia Garcez Vicente, Roseval Donisete Malaquias Junior, Roseli A. F. Romero
Comments: This article has been accepted at the 2023 International Conference on Computational Science and Computational Intelligence (CSCI 23)
Subjects: Machine Learning (cs.LG)
[17]  arXiv:2404.15018 [pdf, other]
Title: Conformal Predictive Systems Under Covariate Shift
Authors: Jef Jonkers, Glenn Van Wallendael, Luc Duchateau, Sofie Van Hoecke
Comments: 13 pages, 4 figures
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[18]  arXiv:2404.14986 [pdf, other]
Title: $\texttt{MiniMol}$: A Parameter-Efficient Foundation Model for Molecular Learning
Authors: Kerstin Kläser, Błażej Banaszewski, Samuel Maddrell-Mander, Callum McLean, Luis Müller, Ali Parviz, Shenyang Huang, Andrew Fitzgibbon
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[19]  arXiv:2404.14973 [pdf, ps, other]
Title: Symbolic Integration Algorithm Selection with Machine Learning: LSTMs vs Tree LSTMs
Authors: Rashid Barket, Matthew England, Jürgen Gerhard
Subjects: Machine Learning (cs.LG); Mathematical Software (cs.MS); Symbolic Computation (cs.SC)
[20]  arXiv:2404.14970 [pdf, other]
Title: Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction
Authors: Rita T. Sousa, Heiko Paulheim
Comments: 11 pages, 4 figures, 7th Workshop on Semantic Web Solutions for Large-scale Biomedical Data Analytics at ESWC2024
Subjects: Machine Learning (cs.LG)
[21]  arXiv:2404.14961 [pdf, other]
Title: Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems
Authors: Xiaoshuang Chen, Gengrui Zhang, Yao Wang, Yulin Wu, Shuo Su, Kaiqiao Zhan, Ben Wang
Comments: 8 pages, 8 figures
Subjects: Machine Learning (cs.LG)
[22]  arXiv:2404.14953 [pdf, other]
Title: Dynamic pricing with Bayesian updates from online reviews
Authors: José Correa, Mathieu Mari, Andrew Xia
Subjects: Machine Learning (cs.LG)
[23]  arXiv:2404.14941 [pdf, other]
Title: Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
Authors: Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[24]  arXiv:2404.14933 [pdf, other]
Title: Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
Authors: Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Joern Hees, Andreas Dengel
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
[25]  arXiv:2404.14928 [pdf, other]
Title: Graph Machine Learning in the Era of Large Language Models (LLMs)
Authors: Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Social and Information Networks (cs.SI)
[ total of 632 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 626-632 ]
[ showing 25 entries per page: fewer | more | all ]

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