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: 34 pages, 16 Figures, 12 Tables

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)

[11]  arXiv:2310.00112 [pdf, other]

Title: Reinforcement Learning for Node Selection in Branch-and-Bound

Authors: Alexander Mattick, Christopher Mutschler

Subjects: Machine Learning (cs.LG)

[12]  arXiv:2310.00113 [pdf, other]

Title: HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning

Authors: Kamil Książek, Przemysław Spurek

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

[13]  arXiv:2310.00115 [pdf, other]

Title: Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks

Authors: Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang

Comments: 19 pages

Subjects: Machine Learning (cs.LG)

[14]  arXiv:2310.00116 [pdf, other]

Title: Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization

Authors: Mahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa

Comments: 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

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

[15]  arXiv:2310.00120 [pdf, other]

Title: Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs

Authors: Jean Kossaifi, Nikola Kovachki, Kamyar Azizzadenesheli, Anima Anandkumar

Subjects: Machine Learning (cs.LG)

[16]  arXiv:2310.00137 [pdf, other]

Title: On the Disconnect Between Theory and Practice of Overparametrized Neural Networks

Authors: Jonathan Wenger, Felix Dangel, Agustinus Kristiadi

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

[17]  arXiv:2310.00144 [pdf, other]

Title: Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks

Authors: Stefan Kambiz Behfar, Jon Crowcroft

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

[18]  arXiv:2310.00149 [pdf, other]

Title: One for All: Towards Training One Graph Model for All Classification Tasks

Authors: Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang

Subjects: Machine Learning (cs.LG)

[19]  arXiv:2310.00154 [pdf, other]

Title: Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers

Authors: Juan Elenter, Navid NaderiAlizadeh, Tara Javidi, Alejandro Ribeiro

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

[20]  arXiv:2310.00165 [pdf, other]

Title: SCoRe: Submodular Combinatorial Representation Learning for Real-World Class-Imbalanced Settings

Authors: Anay Majee, Suraj Kothawade, Krishnateja Killiamsetty, Rishabh Iyer

Comments: 15 pages, 6 figures

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

[21]  arXiv:2310.00180 [pdf, other]

Title: MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling

Authors: Xinwei Zhuang, Zixun Huang, Wentao Zeng, Luisa Caldas

Comments: *Equal Contribution

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

[22]  arXiv:2310.00183 [pdf, other]

Title: On the Equivalence of Graph Convolution and Mixup

Authors: Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

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

[23]  arXiv:2310.00198 [pdf, other]

Title: Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling

Authors: Huancheng Chen, Haris Vikalo

Comments: under review

Subjects: Machine Learning (cs.LG)

[24]  arXiv:2310.00212 [pdf, other]

Title: Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment

Authors: Tianhao Wu, Banghua Zhu, Ruoyu Zhang, Zhaojin Wen, Kannan Ramchandran, Jiantao Jiao

Comments: 19 pages, 5 figures

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

[25]  arXiv:2310.00221 [pdf, other]

Title: Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study

Authors: Alexander Galozy, Sadi Alawadi, Victor Kebande, Sławomir Nowaczyk

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