Machine Learning

Authors and titles for recent submissions, skipping first 373

• Fri, 17 May 2024
• Thu, 16 May 2024
• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024

Tue, 14 May 2024 (continued, showing 25 of 200 entries)

[374]  arXiv:2405.07331 [pdf, other]

Title: Stochastic Bandits with ReLU Neural Networks

Authors: Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani

Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)

[375]  arXiv:2405.07327 [pdf, other]

Title: Liquid Ensemble Selection for Continual Learning

Authors: Carter Blair, Ben Armstrong, Kate Larson

Comments: Accepted at Canadian AI Conference 2024

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

[376]  arXiv:2405.07317 [pdf, other]

Title: Machine Unlearning in Contrastive Learning

Authors: Zixin Wang, Kongyang Chen

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

[377]  arXiv:2405.07316 [pdf, other]

Title: VALID: a Validated Algorithm for Learning in Decentralized Networks with Possible Adversarial Presence

Authors: Mayank Bakshi, Sara Ghasvarianjahromi, Yauhen Yakimenka, Allison Beemer, Oliver Kosut, Joerg Kliewer

Comments: This is an extended version of the paper at International Symposium on Information Theory 2024

Subjects: Machine Learning (cs.LG); Information Theory (cs.IT)

[378]  arXiv:2405.07260 [pdf, ps, other]

Title: A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition

Authors: Xiang Li, Jian Song, Zhigang Zhao, Chunxiao Wang, Dawei Song, Bin Hu

Comments: 5 pages, 3 figures, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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

[379]  arXiv:2405.07252 [pdf, ps, other]

Title: Universal Batch Learning Under The Misspecification Setting

Authors: Shlomi Vituri, Meir Feder

Subjects: Machine Learning (cs.LG); Information Theory (cs.IT)

[380]  arXiv:2405.07236 [pdf, other]

Title: Adaptive control of recurrent neural networks using conceptors

Authors: Guillaume Pourcel, Mirko Goldmann, Ingo Fischer, Miguel C. Soriano

Subjects: Machine Learning (cs.LG); Adaptation and Self-Organizing Systems (nlin.AO)

[381]  arXiv:2405.07233 [pdf, other]

Title: OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning

Authors: Bin Lu, Ze Zhao, Luyu Han, Xiaoying Gan, Yuntao Zhou, Lei Zhou, Luoyi Fu, Xinbing Wang, Chenghu Zhou, Jing Zhang

Comments: Accepted to ICML 2024

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

[382]  arXiv:2405.07223 [pdf, other]

Title: Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning

Authors: Changhong Wang, Xudong Yu, Chenjia Bai, Qiaosheng Zhang, Zhen Wang

Comments: Accepted by Science China Information Sciences

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

[383]  arXiv:2405.07220 [pdf, other]

Title: On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition

Authors: Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee

Comments: Conference on Causal Learning and Reasoning (CLeaR), 2023

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

[384]  arXiv:2405.07200 [pdf, other]

Title: Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

Authors: Sidharth SS, Gokul R

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

[385]  arXiv:2405.07175 [pdf, other]

Title: On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning

Authors: Mario Chahoud, Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani

Subjects: Machine Learning (cs.LG)

[386]  arXiv:2405.07142 [pdf, other]

Title: Cross-Domain Continual Learning via CLAMP

Authors: Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Yapp Kien Yee, Ramasamy Savitha

Comments: Under Review in Elsevier Journal

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

[387]  arXiv:2405.07140 [pdf, other]

Title: Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization

Authors: Xinyuan Zhang, Jiang Liu, Zehui Xiong, Yudong Huang, Gaochang Xie, Ran Zhang

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

[388]  arXiv:2405.07135 [pdf, other]

Title: Combining multiple post-training techniques to achieve most efficient quantized LLMs

Authors: Sayeh Sharify, Zifei Xu, Wanzin Yazar, Xin Wang

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

[389]  arXiv:2405.07117 [pdf, other]

Title: Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting

Authors: Abishek Sriramulu, Christoph Bergmeir, Slawek Smyl

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

[390]  arXiv:2405.07098 [pdf, other]

Title: Interpretable global minima of deep ReLU neural networks on sequentially separable data

Authors: Thomas Chen, Patricia Muñoz Ewald

Comments: AMS Latex, 22 pages, 3 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Mathematical Physics (math-ph); Optimization and Control (math.OC); Machine Learning (stat.ML)

[391]  arXiv:2405.07097 [pdf, other]

Title: Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems

Authors: Katsiaryna Haitsiukevich, Onur Poyraz, Pekka Marttinen, Alexander Ilin

Comments: Preprint submitted to IEEE MLSP 2024

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

[392]  arXiv:2405.07083 [pdf, other]

Title: Data-Efficient and Robust Task Selection for Meta-Learning

Authors: Donglin Zhan, James Anderson

Comments: Accepted by CVPR 2024 Wrokshop

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC)

[393]  arXiv:2405.07070 [pdf, other]

Title: Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern

Authors: M. Sajid, Rahul Sharma, Iman Beheshti, M. Tanveer

Journal-ref: WIREs Data Mining and Knowledge Discovery, 2024

Subjects: Machine Learning (cs.LG)

[394]  arXiv:2405.07067 [pdf, other]

Title: Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability

Authors: Rixin Yu, Erdzan Hodzic, Karl-Johan Nogenmyr

Comments: 25 page, 10 figures

Subjects: Machine Learning (cs.LG)

[395]  arXiv:2405.07061 [pdf, other]

Title: LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust

Authors: Zeng Wang, Lilas Alrahis, Likhitha Mankali, Johann Knechtel, Ozgur Sinanoglu

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

[396]  arXiv:2405.07045 [pdf, other]

Title: Predictive Modeling in the Reservoir Kernel Motif Space

Authors: Peter Tino, Robert Simon Fong, Roberto Fabio Leonarduzzi

Comments: 8 pages

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

[397]  arXiv:2405.07030 [pdf, ps, other]

Title: Lasso Ridge based XGBoost and Deep_LSTM Help Tennis Players Perform better

Authors: Wankang Zhai, Yuhan Wang

Comments: 22 pages, 11 figures

Subjects: Machine Learning (cs.LG)

[398]  arXiv:2405.07024 [pdf, other]

Title: Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning

Authors: Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini

Comments: Accepted for Publication in IEEE Signal Processing Magazine

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

• Fri, 17 May 2024
• Thu, 16 May 2024
• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024