Machine Learning

Authors and titles for cs.LG in Feb 2024

[1]  arXiv:2402.00031 [pdf, other]

Title: An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis

Authors: Federico Galbiati, Ranier X. Gran, Brendan D. Jacques, Sullivan J. Mulhern, Chun-Kit Ngan

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

[2]  arXiv:2402.00059 [pdf, other]

Title: FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting

Authors: Tao Han, Song Guo, Fenghua Ling, Kang Chen, Junchao Gong, Jingjia Luo, Junxia Gu, Kan Dai, Wanli Ouyang, Lei Bai

Comments: 19 pages

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Atmospheric and Oceanic Physics (physics.ao-ph)

[3]  arXiv:2402.00066 [pdf, ps, other]

Title: TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting

Authors: Nicholas Stroh

Comments: 16 pages, 8 figures

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

[4]  arXiv:2402.00068 [pdf, other]

Title: GPT4Battery: An LLM-driven Framework for Adaptive State of Health Estimation of Raw Li-ion Batteries

Authors: Yuyuan Feng, Guosheng Hu, Zhihong Zhang

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

[5]  arXiv:2402.00071 [pdf, ps, other]

Title: Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy

Authors: Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Sergei V. Kalinin

Comments: 24 pages, 11 figures

Subjects: Machine Learning (cs.LG); Materials Science (cond-mat.mtrl-sci)

[6]  arXiv:2402.00072 [pdf, ps, other]

Title: Explainable AI for survival analysis: a median-SHAP approach

Authors: Lucile Ter-Minassian, Sahra Ghalebikesabi, Karla Diaz-Ordaz, Chris Holmes

Comments: Accepted to the Interpretable Machine Learning for Healthcare (IMLH) workshop of the ICML 2022 Conference

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

[7]  arXiv:2402.00084 [pdf, other]

Title: EPSD: Early Pruning with Self-Distillation for Efficient Model Compression

Authors: Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang

Comments: The first two authors are with equal contributions. Paper accepted by AAAI 2024

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

[8]  arXiv:2402.00085 [pdf, ps, other]

Title: Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning

Authors: Xuecheng Niu, Akinori Ito, Takashi Nose

Comments: 18 pages, 11 figures

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

[9]  arXiv:2402.00086 [pdf, other]

Title: Retrosynthesis prediction enhanced by in-silico reaction data augmentation

Authors: Xu Zhang, Yiming Mo, Wenguan Wang, Yi Yang

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

[10]  arXiv:2402.00092 [pdf, other]

Title: Episodic-free Task Selection for Few-shot Learning

Authors: Tao Zhang

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

[11]  arXiv:2402.00137 [pdf, other]

Title: Multimodal Neurodegenerative Disease Subtyping Explained by ChatGPT

Authors: Diego Machado Reyes, Hanqing Chao, Juergen Hahn, Li Shen, Pingkun Yan

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

[12]  arXiv:2402.00152 [pdf, other]

Title: Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss

Authors: Yahong Yang, Juncai He

Comments: arXiv admin note: text overlap with arXiv:2310.10766, arXiv:2305.08466

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA); Machine Learning (stat.ML)

[13]  arXiv:2402.00153 [pdf, other]

Title: Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks

Authors: Navid Gholizadeh, Javad Katebi

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Geophysics (physics.geo-ph)

[14]  arXiv:2402.00162 [pdf, other]

Title: Behind the Myth of Exploration in Policy Gradients

Authors: Adrien Bolland, Gaspard Lambrechts, Damien Ernst

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

[15]  arXiv:2402.00195 [pdf, other]

Title: Dataset Condensation Driven Machine Unlearning

Authors: Junaid Iqbal Khan

Subjects: Machine Learning (cs.LG)

[16]  arXiv:2402.00197 [pdf, other]

Title: Determination of Trace Organic Contaminant Concentration via Machine Classification of Surface-Enhanced Raman Spectra

Authors: Vishnu Jayaprakash, Jae Bem You, Chiranjeevi Kanike, Jinfeng Liu, Christopher McCallum, Xuehua Zhang

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

[17]  arXiv:2402.00201 [pdf, other]

Title: An Experiment on Feature Selection using Logistic Regression

Authors: Raisa Islam, Subhasish Mazumdar, Rakibul Islam

Subjects: Machine Learning (cs.LG)

[18]  arXiv:2402.00205 [pdf, other]

Title: Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data

Authors: Congyu Fang, Adam Dziedzic, Lin Zhang, Laura Oliva, Amol Verma, Fahad Razak, Nicolas Papernot, Bo Wang

Comments: page 6 and 12, typos corrected. Results unchanged

Journal-ref: eBioMedicine, vol. 101, p. 105006, 2024

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)

[19]  arXiv:2402.00208 [pdf, other]

Title: MP-SL: Multihop Parallel Split Learning

Authors: Joana Tirana, Spyros Lalis, Dimitris Chatzopoulos

Comments: 11 pages, 14 figures

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)

[20]  arXiv:2402.00232 [pdf, other]

Title: Learning Label Hierarchy with Supervised Contrastive Learning

Authors: Ruixue Lian, William A. Sethares, Junjie Hu

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

[21]  arXiv:2402.00236 [pdf, ps, other]

Title: Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary

Authors: Takashi Morita

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)

[22]  arXiv:2402.00238 [pdf, other]

Title: CNN-FL for Biotechnology Industry Empowered by Internet-of-BioNano Things and Digital Twins

Authors: Mohammad (Behdad) Jamshidi, Dinh Thai Hoang, Diep N. Nguyen

Subjects: Machine Learning (cs.LG); Image and Video Processing (eess.IV); Quantitative Methods (q-bio.QM)

[23]  arXiv:2402.00240 [pdf, other]

Title: Spectral Norm of Convolutional Layers with Circular and Zero Paddings

Authors: Blaise Delattre, Quentin Barthélemy, Alexandre Allauzen

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

[24]  arXiv:2402.00251 [pdf, other]

Title: Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning

Authors: Yao-Hung Hubert Tsai, Walter Talbott, Jian Zhang

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

[25]  arXiv:2402.00254 [pdf, other]

Title: Vertical Symbolic Regression via Deep Policy Gradient

Authors: Nan Jiang, Md Nasim, Yexiang Xue

Comments: see animated demo at: vsr-dpg.github.io

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