Machine Learning

Authors and titles for cs.LG in Oct 2023

[1]  arXiv:2310.00023 [pdf, other]

Title: De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics

Authors: Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta

Comments: 8 pages, 6 figures, 3 tables

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

[2]  arXiv:2310.00034 [pdf, other]

Title: PB-LLM: Partially Binarized Large Language Models

Authors: Yuzhang Shang, Zhihang Yuan, Qiang Wu, Zhen Dong

Comments: Frist work using network binarization for large language model compression

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

[3]  arXiv:2310.00035 [pdf, other]

Title: LoRA ensembles for large language model fine-tuning

Authors: Xi Wang, Laurence Aitchison, Maja Rudolph

Comments: Update the title in the PDF file

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

[4]  arXiv:2310.00036 [pdf, other]

Title: Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform

Authors: Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón

Subjects: Machine Learning (cs.LG)

[5]  arXiv:2310.00041 [pdf, other]

Title: Machine Learning Clifford invariants of ADE Coxeter elements

Authors: Siqi Chen, Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst, Dmitrii Riabchenko

Comments: v1: 34 pages, 16 Figures, 12 Tables. v2: Typos corrected and some comments added. Matches the author-accepted version for publication in Advances in Applied Clifford Algebras

Journal-ref: Adv. Appl. Clifford Algebras 34, 20 (2024)

Subjects: Machine Learning (cs.LG); High Energy Physics - Theory (hep-th); Mathematical Physics (math-ph); Group Theory (math.GR); Representation Theory (math.RT)

[6]  arXiv:2310.00077 [pdf, other]

Title: Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym

Authors: Elena Raponi, Nathanael Rakotonirina Carraz, Jérémy Rapin, Carola Doerr, Olivier Teytaud

Comments: To appear in IEEE Transactions on Evolutionary Computation

Subjects: Machine Learning (cs.LG)

[7]  arXiv:2310.00098 [pdf, other]

Title: Federated Learning with Differential Privacy for End-to-End Speech Recognition

Authors: Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan "Honza" Silovsky, Kunal Talwar, Tatiana Likhomanenko

Comments: Under review

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

[8]  arXiv:2310.00105 [pdf, other]

Title: Latent Space Symmetry Discovery

Authors: Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu

Subjects: Machine Learning (cs.LG)

[9]  arXiv:2310.00108 [pdf, other]

Title: Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study

Authors: Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia

Comments: International Conference on Computer Vision (ICCV) 2023

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

[10]  arXiv:2310.00109 [pdf, other]

Title: FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

Authors: Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang

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