Machine Learning

Authors and titles for cs.LG in Sep 2023, skipping first 75

[76]  arXiv:2309.01169 [pdf, ps, other]

Title: End-to-End Learning on Multimodal Knowledge Graphs

Authors: W. X. Wilcke, P. Bloem, V. de Boer, R. H. van t Veer

Comments: Under submission. arXiv admin note: substantial text overlap with arXiv:2003.12383

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

[77]  arXiv:2309.01179 [pdf, other]

Title: Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing

Authors: Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao

Comments: Accepted by ICDM 2023, 10 pages, 5 figures, 4 tables

Journal-ref: 2023 ICDM

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

[78]  arXiv:2309.01189 [pdf, other]

Title: LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection

Authors: Jiaxing Qi, Shaohan Huang, Zhongzhi Luan, Carol Fung, Hailong Yang, Depei Qian

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

[79]  arXiv:2309.01226 [pdf, other]

Title: Saturn: An Optimized Data System for Large Model Deep Learning Workloads

Authors: Kabir Nagrecha, Arun Kumar

Comments: Accepted at VLDB '24. Code available: this https URL 12 pages + 3 pages references + 2 pages appendix

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

[80]  arXiv:2309.01230 [pdf, other]

Title: lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems

Authors: Andrew R. Sedler, Chethan Pandarinath

Comments: 4 pages, 1 figure, 1 table

Subjects: Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC)

[81]  arXiv:2309.01248 [pdf, other]

Title: Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and Experiments

Authors: M. Soheil Shamaee, S. Fathi Hafshejani

Journal-ref: Mathematics Interdisciplinary Research 2023

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

[82]  arXiv:2309.01275 [pdf, other]

Title: A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data

Authors: Hamza Reguieg, Mohammed El Hanjri, Mohamed El Kamili, Abdellatif Kobbane

Comments: 6 pages, 5 figures, conference

Subjects: Machine Learning (cs.LG); Probability (math.PR)

[83]  arXiv:2309.01289 [pdf, other]

Title: Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning

Authors: Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr

Subjects: Machine Learning (cs.LG)

[84]  arXiv:2309.01297 [pdf, other]

Title: Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles

Authors: Jiacong Xu, Riley Kilfoyle, Zixiang Xiong, Ligang Lu

Comments: 7 pages, 6 figures

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

[85]  arXiv:2309.01336 [pdf, other]

Title: Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach

Authors: Rohit Dube, Natarajan Gautam, Amarnath Banerjee, Harsha Nagarajan

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

[86]  arXiv:2309.01381 [pdf, other]

Title: Classic algorithms are fair learners: Classification Analysis of natural weather and wildfire occurrences

Authors: Senthilkumar Gopal

Subjects: Machine Learning (cs.LG)

[87]  arXiv:2309.01392 [pdf, ps, other]

Title: Differentiable Bayesian Structure Learning with Acyclicity Assurance

Authors: Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen

Comments: Accepted as a regular paper (9.37%) at the 23rd IEEE International Conference on Data Mining (ICDM 2023)

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

[88]  arXiv:2309.01448 [pdf, other]

Title: Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance

Authors: Qisen Yang, Shenzhi Wang, Qihang Zhang, Gao Huang, Shiji Song

Subjects: Machine Learning (cs.LG)

[89]  arXiv:2309.01457 [pdf, other]

Title: On the Consistency and Robustness of Saliency Explanations for Time Series Classification

Authors: Chiara Balestra, Bin Li, Emmanuel Müller

Subjects: Machine Learning (cs.LG)

[90]  arXiv:2309.01458 [pdf, other]

Title: Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning

Authors: Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song

Subjects: Machine Learning (cs.LG)

[91]  arXiv:2309.01472 [pdf, other]

Title: FinDiff: Diffusion Models for Financial Tabular Data Generation

Authors: Timur Sattarov, Marco Schreyer, Damian Borth

Comments: 9 pages, 5 figures, 3 tables, preprint version, currently under review

Subjects: Machine Learning (cs.LG); Statistical Finance (q-fin.ST)

[92]  arXiv:2309.01503 [pdf, other]

Title: Layer-wise training for self-supervised learning on graphs

Authors: Oscar Pina, Verónica Vilaplana

Subjects: Machine Learning (cs.LG)

[93]  arXiv:2309.01507 [pdf, other]

Title: Memory Efficient Optimizers with 4-bit States

Authors: Bingrui Li, Jianfei Chen, Jun Zhu

Comments: v3: camera ready revisions for NeurIPS 2023

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

[94]  arXiv:2309.01523 [pdf, other]

Title: A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case

Authors: Hussein Aly, Abdulaziz Al-Ali, Abdullah Al-Ali, Qutaibah Malluhi

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

[95]  arXiv:2309.01526 [pdf, other]

Title: Passing Heatmap Prediction Based on Transformer Model and Tracking Data

Authors: Yisheng Pei, Varuna De Silva, Mike Caine

Subjects: Machine Learning (cs.LG)

[96]  arXiv:2309.01532 [pdf, other]

Title: Are We Using Autoencoders in a Wrong Way?

Authors: Gabriele Martino, Davide Moroni, Massimo Martinelli

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

[97]  arXiv:2309.01569 [pdf, other]

Title: Rail Crack Propagation Forecasting Using Multi-horizons RNNs

Authors: Sara Yasmine Ouerk, Olivier Vo Van, Mouadh Yagoubi

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

[98]  arXiv:2309.01590 [pdf, other]

Title: Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models

Authors: Dogyun Park, Suhyun Kim

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

[99]  arXiv:2309.01593 [pdf, other]

Title: Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data

Authors: Yuqin Li, Jun Liu, Shengliang Zhong, Licheng Zhou, Shoubin Dong, Zejia Liu, Liqun Tang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE)

[100]  arXiv:2309.01610 [pdf, other]

Title: Fair Ranking under Disparate Uncertainty

Authors: Richa Rastogi, Thorsten Joachims

Comments: A version of this paper was accepted as Spotlight (Oral) at UAI workshop on Epistemic AI, 2023

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY); Information Retrieval (cs.IR)