Machine Learning

Authors and titles for recent submissions, skipping first 539

• Fri, 24 May 2024
• Wed, 22 May 2024
• Tue, 21 May 2024
• Mon, 20 May 2024
• Fri, 17 May 2024

Wed, 22 May 2024 (continued, showing last 2 of 112 entries)

[540]  arXiv:2405.12234 (cross-list from stat.ML) [pdf, ps, other]

Title: Joint Prediction Regions for time-series models

Authors: Eshant English, Nicola Paoletti

Comments: This work is a Master Thesis

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

[541]  arXiv:2405.12225 (cross-list from q-bio.QM) [pdf, other]

Title: Unraveling the Autism spectrum heterogeneity: Insights from ABIDE I Database using data/model-driven permutation testing approaches

Authors: F.J. Alcaide, I.A. Illan, J. Ramirez, J.M. Gorriz

Comments: 54 pages, 14 figures

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

Tue, 21 May 2024 (showing first 48 of 199 entries)

[542]  arXiv:2405.12207 [pdf, other]

Title: Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search

Authors: Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR)

[543]  arXiv:2405.12186 [pdf, other]

Title: Training Data Attribution via Approximate Unrolled Differentiation

Authors: Juhan Bae, Wu Lin, Jonathan Lorraine, Roger Grosse

Subjects: Machine Learning (cs.LG)

[544]  arXiv:2405.12183 [pdf, other]

Title: Multi-order Graph Clustering with Adaptive Node-level Weight Learning

Authors: Ye Liu, Xuelei Lin, Yejia Chen, Reynold Cheng

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

[545]  arXiv:2405.12179 [pdf, other]

Title: Building Temporal Kernels with Orthogonal Polynomials

Authors: Yan Ru Pei, Olivier Coenen

Comments: 16 pages, 3 figures

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

[546]  arXiv:2405.12122 [pdf, other]

Title: An Active Learning Framework with a Class Balancing Strategy for Time Series Classification

Authors: Shemonto Das

Comments: Master's thesis accepted by Memorial University of Newfoundland. Chapter 3 published in the Journal of Frontiers in Robotics and AI. Chapter 4 published in the IEEE Systems Conference 2024

Subjects: Machine Learning (cs.LG)

[547]  arXiv:2405.12096 [pdf, other]

Title: PATE: Proximity-Aware Time series anomaly Evaluation

Authors: Ramin Ghorbani, Marcel J.T. Reinders, David M.J. Tax

Comments: Accepted by ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2024), Research Track. (Preprint version)

Subjects: Machine Learning (cs.LG)

[548]  arXiv:2405.12094 [pdf, other]

Title: Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

Authors: Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen

Comments: 20 pages, 8 figures

Subjects: Machine Learning (cs.LG)

[549]  arXiv:2405.12087 [pdf, other]

Title: Channel Balance Interpolation in the Lightning Network via Machine Learning

Authors: Vincent, Emanuele Rossi, Vikash Singh

Subjects: Machine Learning (cs.LG)

[550]  arXiv:2405.12046 [pdf, other]

Title: Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach

Authors: Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson

Comments: Submitted to IEEE journals for possible publication

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Information Theory (cs.IT); Signal Processing (eess.SP)

[551]  arXiv:2405.12038 [pdf, other]

Title: Adaptive Extraction Network for Multivariate Long Sequence Time-Series Forecasting

Authors: Dandan Zhang, Yun Wang

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR)

[552]  arXiv:2405.12001 [pdf, other]

Title: Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning

Authors: Hai Zhang, Boyuan Zheng, Anqi Guo, Tianying Ji, Pheng-Ann Heng, Junqiao Zhao, Lanqing Li

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

[553]  arXiv:2405.11982 [pdf, other]

Title: Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space

Authors: Qianmei Liu, Yufei Kuang, Jie Wang

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

[554]  arXiv:2405.11968 [pdf, other]

Title: Conditional Shift-Robust Conformal Prediction for Graph Neural Network

Authors: S. Akansha

Comments: 11 pages, 4 figures

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

[555]  arXiv:2405.11958 [pdf, other]

Title: Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis

Authors: Eduard Barbu, Marharytha Domnich, Raul Vicente, Nikos Sakkas, André Morim

Subjects: Machine Learning (cs.LG); Human-Computer Interaction (cs.HC)

[556]  arXiv:2405.11951 [pdf, other]

Title: Distinguished In Uniform: Self Attention Vs. Virtual Nodes

Authors: Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe

Journal-ref: The Twelfth International Conference on Learning Representations (2024)

Subjects: Machine Learning (cs.LG)

[557]  arXiv:2405.11930 [pdf, other]

Title: Data Contamination Calibration for Black-box LLMs

Authors: Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao

Subjects: Machine Learning (cs.LG)

[558]  arXiv:2405.11919 [pdf, other]

Title: On Efficient and Statistical Quality Estimation for Data Annotation

Authors: Jan-Christoph Klie, Rahul Nair, Juan Haladjian, Marc Kirchner

Comments: Accepted to ACL 2024

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

[559]  arXiv:2405.11916 [pdf, ps, other]

Title: Information Leakage from Embedding in Large Language Models

Authors: Zhipeng Wan, Anda Cheng, Yinggui Wang, Lei Wang

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

[560]  arXiv:2405.11907 [pdf, other]

Title: Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Authors: Ramansh Sharma, Varun Shankar

Subjects: Machine Learning (cs.LG)

[561]  arXiv:2405.11895 [pdf, other]

Title: Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins

Authors: Yanlei Yin, Lihua Wang, Wenbo Wang, Dinh Thai Hoang

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

[562]  arXiv:2405.11884 [pdf, other]

Title: Vertical Federated Learning Hybrid Local Pre-training

Authors: Wenguo Li, Xinling Guo, Xu Jiao, Tiancheng Huang, Xiaoran Yan, Yao Yang

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

[563]  arXiv:2405.11881 [pdf, other]

Title: Out-of-Distribution Detection with a Single Unconditional Diffusion Model

Authors: Alvin Heng, Alexandre H. Thiery, Harold Soh

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

[564]  arXiv:2405.11880 [pdf, other]

Title: Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs

Authors: Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang

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

[565]  arXiv:2405.11868 [pdf, other]

Title: Towards Graph Contrastive Learning: A Survey and Beyond

Authors: Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE); Information Retrieval (cs.IR); Social and Information Networks (cs.SI)

[566]  arXiv:2405.11829 [pdf, other]

Title: Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning

Authors: Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya

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

[567]  arXiv:2405.11828 [pdf, other]

Title: Federated Learning with Incomplete Sensing Modalities

Authors: Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin, Sung-Ju Lee

Subjects: Machine Learning (cs.LG)

[568]  arXiv:2405.11821 [pdf, ps, other]

Title: A Three-Phase Analysis of Synergistic Effects During Co-pyrolysis of Algae and Wood for Biochar Yield Using Machine Learning

Authors: Subhadeep Chakrabarti, Saish Shinde

Comments: 6 pages

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

[569]  arXiv:2405.11811 [pdf, other]

Title: FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning

Authors: Liuzhi Zhou, Yu He, Kun Zhai, Xiang Liu, Sen Liu, Xingjun Ma, Guangnan Ye, Yu-Gang Jiang, Hongfeng Chai

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

[570]  arXiv:2405.11801 [pdf, other]

Title: LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering

Authors: Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu

Comments: Accepted by ICML24, 26 pages

Subjects: Machine Learning (cs.LG)

[571]  arXiv:2405.11788 [pdf, other]

Title: TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models

Authors: Junlong Jia, Ying Hu, Xi Weng, Yiming Shi, Miao Li, Xingjian Zhang, Baichuan Zhou, Ziyu Liu, Jie Luo, Lei Huang, Ji Wu

Comments: Our codebase is made public at this https URL with documentation available at this https URL

Subjects: Machine Learning (cs.LG)

[572]  arXiv:2405.11784 [pdf, other]

Title: Reward-Punishment Reinforcement Learning with Maximum Entropy

Authors: Jiexin Wang, Eiji Uchibe

Comments: IJCNN2024

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

[573]  arXiv:2405.11783 [pdf, ps, other]

Title: Inverse Design of Metal-Organic Frameworks Using Quantum Natural Language Processing

Authors: Shinyoung Kang, Jihan Kim

Comments: 45 pages, 7 figures, 6 supplementary figures, 1 table, 1 supplementary table

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Quantum Physics (quant-ph)

[574]  arXiv:2405.11778 [pdf, other]

Title: Efficient Multi-agent Reinforcement Learning by Planning

Authors: Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang

Comments: ICLR2024

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

[575]  arXiv:2405.11762 [pdf, ps, other]

Title: Uncertainty of interpretability in Landslide Susceptibility Mapping: A Comparative Analysis of Statistical, Machine Learning, and Deep Learning Models

Authors: Cheng Chen, Lei Fan

Subjects: Machine Learning (cs.LG)

[576]  arXiv:2405.11758 [pdf, other]

Title: Fed-Credit: Robust Federated Learning with Credibility Management

Authors: Jiayan Chen, Zhirong Qian, Tianhui Meng, Xitong Gao, Tian Wang, Weijia Jia

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

[577]  arXiv:2405.11756 [pdf, other]

Title: Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning

Authors: Kai Gan, Tong Wei

Comments: Accepted to ICML 2024

Subjects: Machine Learning (cs.LG)

[578]  arXiv:2405.11743 [pdf, other]

Title: A General Theory for Compositional Generalization

Authors: Jingwen Fu, Zhizheng Zhang, Yan Lu, Nanning Zheng

Subjects: Machine Learning (cs.LG)

[579]  arXiv:2405.11740 [pdf, other]

Title: Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning

Authors: Xin Liu, Yaran Chen, Dongbin Zhao

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

[580]  arXiv:2405.11739 [pdf, ps, other]

Title: Contactless Polysomnography: What Radio Waves Tell Us about Sleep

Authors: Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, Brandon Westover, Dina Katabi

Comments: The first two authors contributed equally to this work

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

[581]  arXiv:2405.11730 [pdf, ps, other]

Title: Degree of Irrationality: Sentiment and Implied Volatility Surface

Authors: Jiahao Weng, Yan Xie

Comments: 21 pages, 8 figures

Subjects: Machine Learning (cs.LG); General Finance (q-fin.GN)

[582]  arXiv:2405.11727 [pdf, other]

Title: Highway Graph to Accelerate Reinforcement Learning

Authors: Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Q. Shi

Comments: 28 pages, 17 figures, 3 tables, TMLR

Subjects: Machine Learning (cs.LG)

[583]  arXiv:2405.11718 [pdf, other]

Title: Feasibility Consistent Representation Learning for Safe Reinforcement Learning

Authors: Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao

Comments: ICML 2024

Subjects: Machine Learning (cs.LG)

[584]  arXiv:2405.11708 [pdf, other]

Title: Adaptive Batch Normalization Networks for Adversarial Robustness

Authors: Shao-Yuan Lo, Vishal M. Patel

Comments: Accepted at IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS) 2024

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

[585]  arXiv:2405.11704 [pdf, ps, other]

Title: Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks

Authors: Taiyuan Mei, Yun Zi, Xiaohan Cheng, Zijun Gao, Qi Wang, Haowei Yang

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

[586]  arXiv:2405.11703 [pdf, other]

Title: QComp: A QSAR-Based Data Completion Framework for Drug Discovery

Authors: Bingjia Yang, Yunsie Chung, Archer Y. Yang, Bo Yuan, Xiang Yu

Subjects: Machine Learning (cs.LG)

[587]  arXiv:2405.11696 [pdf, other]

Title: Approximation and Gradient Descent Training with Neural Networks

Authors: G. Welper

Subjects: Machine Learning (cs.LG)

[588]  arXiv:2405.11684 [pdf, other]

Title: Learning Regularities from Data using Spiking Functions: A Theory

Authors: Canlin Zhang, Xiuwen Liu

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

[589]  arXiv:2405.11683 [pdf, other]

Title: Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation

Authors: Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn

Comments: 23 pages, 2 figures, ICML

Subjects: Machine Learning (cs.LG)

• Fri, 24 May 2024
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• Fri, 17 May 2024