Machine Learning

Authors and titles for cs.LG in May 2024

[1]  arXiv:2405.00074 [pdf, other]

Title: PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks

Authors: Mark Huasong Meng, Hao Guan, Liuhuo Wan, Sin Gee Teo, Guangdong Bai, Jin Song Dong

Comments: 3 pages

Subjects: Machine Learning (cs.LG); Software Engineering (cs.SE)

[2]  arXiv:2405.00076 [pdf, ps, other]

Title: On Correcting SHAP Scores

Authors: Olivier Letoffe, Xuanxiang Huang, Joao Marques-Silva

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[3]  arXiv:2405.00077 [pdf, other]

Title: BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations

Authors: Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP)

[4]  arXiv:2405.00080 [pdf, other]

Title: Recommenadation aided Caching using Combinatorial Multi-armed Bandits

Authors: Pavamana K J, Chandramani Kishore Singh

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR); Networking and Internet Architecture (cs.NI)

[5]  arXiv:2405.00123 [pdf, other]

Title: Graph Neural Network Approach to Semantic Type Detection in Tables

Authors: Ehsan Hoseinzade, Ke Wang

Journal-ref: In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 121-133. Singapore: Springer Nature Singapore, 2024

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)

[6]  arXiv:2405.00136 [pdf, other]

Title: Data-Driven Permissible Safe Control with Barrier Certificates

Authors: Rayan Mazouz, John Skovbekk, Frederik Baymler Mathiesen, Eric Frew, Luca Laurenti, Morteza Lahijanian

Subjects: Machine Learning (cs.LG); Robotics (cs.RO); Systems and Control (eess.SY)

[7]  arXiv:2405.00142 [pdf, other]

Title: Utilizing Machine Learning and 3D Neuroimaging to Predict Hearing Loss: A Comparative Analysis of Dimensionality Reduction and Regression Techniques

Authors: Trinath Sai Subhash Reddy Pittala, Uma Maheswara R Meleti, Manasa Thatipamula

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[8]  arXiv:2405.00166 [pdf, other]

Title: Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks

Authors: Imran Nasim, Adam Nasim

Comments: Accepted into the International conference on Scientific Computation and Machine Learning 2024 (SCML 2024)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Quantitative Methods (q-bio.QM)

[9]  arXiv:2405.00172 [pdf, other]

Title: Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings

Authors: David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI); Machine Learning (stat.ML)

[10]  arXiv:2405.00182 [pdf, other]

Title: M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values

Authors: Adam Catto, Nan Jia, Ansaf Salleb-Aouissi, Anita Raja

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[11]  arXiv:2405.00184 [pdf, other]

Title: Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information

Authors: Jonathan Serrano-Pérez, L. Enrique Sucar

Subjects: Machine Learning (cs.LG); Quantitative Methods (q-bio.QM)

[12]  arXiv:2405.00202 [pdf, other]

Title: Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design

Authors: A N M Nafiz Abeer, Sanket Jantre, Nathan M Urban, Byung-Jun Yoon

Subjects: Machine Learning (cs.LG); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)

[13]  arXiv:2405.00213 [pdf, other]

Title: Block-As-Domain Adaptation for Workload Prediction from fNIRS Data

Authors: Jiyang Wang, Ayse Altay, Senem Velipasalar

Subjects: Machine Learning (cs.LG); Human-Computer Interaction (cs.HC); Signal Processing (eess.SP)

[14]  arXiv:2405.00217 [pdf, other]

Title: GMC-PINNs: A new general Monte Carlo PINNs method for solving fractional partial differential equations on irregular domains

Authors: Shupeng Wang, George Em Karniadakis

Subjects: Machine Learning (cs.LG)

[15]  arXiv:2405.00219 [pdf, ps, other]

Title: Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters

Authors: Abdoljalil Addeh, Fernando Vega, Rebecca J. Williams, G. Bruce Pike, M. Ethan MacDonald

Comments: 6 pages, 5 figure, conference abstract

Subjects: Machine Learning (cs.LG)

[16]  arXiv:2405.00220 [pdf, other]

Title: Context-Aware Mobile Network Performance Prediction Using Network & Remote Sensing Data

Authors: Ali Shibli, Tahar Zanouda

Comments: Accepted at the 17th International Workshop on AI-ML-Powered Autonomous Telco Networks - IEEE International Conference on Communications (ICC) 2024

Subjects: Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI)

[17]  arXiv:2405.00303 [pdf, other]

Title: Joint Optimization of Piecewise Linear Ensembles

Authors: Matt Raymond, Angela Violi, Clayton Scott

Comments: 7 pages, 4 figures, submitted to IEEE MLSP 2024

Subjects: Machine Learning (cs.LG)

[18]  arXiv:2405.00311 [pdf, ps, other]

Title: Three-layer deep learning network random trees for fault diagnosis in chemical production process

Authors: Ming Lu, Zhen Gao, Ying Zou, Zuguo Chen, Pei Li

Subjects: Machine Learning (cs.LG)

[19]  arXiv:2405.00314 [pdf, other]

Title: Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

Authors: Dayou Du, Gu Gong, Xiaowen Chu

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Hardware Architecture (cs.AR); Computer Vision and Pattern Recognition (cs.CV); Performance (cs.PF)

[20]  arXiv:2405.00319 [pdf, other]

Title: Data Augmentation Policy Search for Long-Term Forecasting

Authors: Liran Nochumsohn, Omri Azencot

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[21]  arXiv:2405.00334 [pdf, other]

Title: A Survey on Deep Active Learning: Recent Advances and New Frontiers

Authors: Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura

Comments: This paper is accepted by IEEE Transactions on Neural Networks and Learning Systems

Subjects: Machine Learning (cs.LG)

[22]  arXiv:2405.00348 [pdf, other]

Title: Practical Dataset Distillation Based on Deep Support Vectors

Authors: Hyunho Lee, Junhoo Lee, Nojun Kwak

Subjects: Machine Learning (cs.LG)

[23]  arXiv:2405.00349 [pdf, other]

Title: A Self-explaining Neural Architecture for Generalizable Concept Learning

Authors: Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Comments: IJCAI 2024. 16 pages (7 main content, 2 references, 7 Appendix) Code available at this https URL

Subjects: Machine Learning (cs.LG)

[24]  arXiv:2405.00410 [pdf, other]

Title: UCB-driven Utility Function Search for Multi-objective Reinforcement Learning

Authors: Yucheng Shi, Alexandros Agapitos, David Lynch, Giorgio Cruciata, Cengis Hasan, Hao Wang, Yayu Yao, Aleksandar Milenovic

Subjects: Machine Learning (cs.LG)

[25]  arXiv:2405.00417 [pdf, other]

Title: Conformal Risk Control for Ordinal Classification

Authors: Yunpeng Xu, Wenge Guo, Zhi Wei

Comments: 17 pages, 8 figures, 2 table; 1 supplementary page

Journal-ref: In UAI 2023: The 39th Conference on Uncertainty in Artificial Intelligence

Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)