Machine Learning

Authors and titles for cs.LG in Sep 2023

[1]  arXiv:2309.00023 [pdf, other]

Title: Continual Learning From a Stream of APIs

Authors: Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

Subjects: Machine Learning (cs.LG)

[2]  arXiv:2309.00024 [pdf, other]

Title: Efficient Multi-View Graph Clustering with Local and Global Structure Preservation

Authors: Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang

Comments: arXiv admin note: text overlap with arXiv:2308.16541

Subjects: Machine Learning (cs.LG)

[3]  arXiv:2309.00079 [pdf, other]

Title: On the Implicit Bias of Adam

Authors: Matias D. Cattaneo, Jason M. Klusowski, Boris Shigida

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Optimization and Control (math.OC); Computation (stat.CO); Machine Learning (stat.ML)

[4]  arXiv:2309.00082 [pdf, other]

Title: RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

Authors: Chuning Zhu, Max Simchowitz, Siri Gadipudi, Abhishek Gupta

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

[5]  arXiv:2309.00088 [pdf, other]

Title: Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market

Authors: Timothy DeLise

Comments: 8 pages, 3 figures

Subjects: Machine Learning (cs.LG); Risk Management (q-fin.RM)

[6]  arXiv:2309.00127 [pdf, other]

Title: FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning

Authors: Yanqi Qiao, Dazhuang Liu, Congwen Chen, Rui Wang, Kaitai Liang

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

[7]  arXiv:2309.00157 [pdf, other]

Title: Information Fusion for Assistance Systems in Production Assessment

Authors: Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung

Comments: 21 Pages, 10 Figures

Subjects: Machine Learning (cs.LG)

[8]  arXiv:2309.00197 [pdf, other]

Title: Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches

Authors: Bruno Machado Pacheco, Laio Oriel Seman, Eduardo Camponogara

Comments: Paper accepted at SBAI 2023

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

[9]  arXiv:2309.00201 [pdf, other]

Title: Subjectivity in Unsupervised Machine Learning Model Selection

Authors: Wanyi Chen, Mary L. Cummings

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

[10]  arXiv:2309.00203 [pdf, other]

Title: Data-Driven Projection for Reducing Dimensionality of Linear Programs: Generalization Bound and Learning Methods

Authors: Shinsaku Sakaue, Taihei Oki

Subjects: Machine Learning (cs.LG)

[11]  arXiv:2309.00236 [pdf, other]

Title: Image Hijacks: Adversarial Images can Control Generative Models at Runtime

Authors: Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons

Comments: Project page at this https URL

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

[12]  arXiv:2309.00244 [pdf, other]

Title: NeuroSurgeon: A Toolkit for Subnetwork Analysis

Authors: Michael A. Lepori, Ellie Pavlick, Thomas Serre

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

[13]  arXiv:2309.00254 [pdf, other]

Title: Why do universal adversarial attacks work on large language models?: Geometry might be the answer

Authors: Varshini Subhash, Anna Bialas, Weiwei Pan, Finale Doshi-Velez

Comments: 2nd AdvML Frontiers Workshop at 40th International Conference on Machine Learning, Honolulu, Hawaii, USA, 2023

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

[14]  arXiv:2309.00255 [pdf, other]

Title: SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks

Authors: Mojtaba Valipour, Mehdi Rezagholizadeh, Hossein Rajabzadeh, Parsa Kavehzadeh, Marzieh Tahaei, Boxing Chen, Ali Ghodsi

Subjects: Machine Learning (cs.LG)

[15]  arXiv:2309.00257 [pdf, other]

Title: Leveraging Learning Metrics for Improved Federated Learning

Authors: Andre Fu

Comments: Bachelor's thesis

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

[16]  arXiv:2309.00305 [pdf, other]

Title: Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties

Authors: Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici, Kishan Govind, Sébastien Bompas, Stefan Sandfeld

Subjects: Machine Learning (cs.LG); Materials Science (cond-mat.mtrl-sci); Computer Vision and Pattern Recognition (cs.CV)

[17]  arXiv:2309.00325 [pdf, other]

Title: Multi-fidelity reduced-order surrogate modeling

Authors: Paolo Conti, Mengwu Guo, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)

[18]  arXiv:2309.00330 [pdf, other]

Title: Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients

Authors: Juan Lu, Mohammed Bennamoun, Jonathon Stewart, JasonK.Eshraghian, Yanbin Liu, Benjamin Chow, Frank M.Sanfilippo, Girish Dwivedi

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

[19]  arXiv:2309.00356 [pdf, other]

Title: Explainable Active Learning for Preference Elicitation

Authors: Furkan Cantürk, Reyhan Aydoğan

Comments: Preprint

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

[20]  arXiv:2309.00363 [pdf, other]

Title: FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning

Authors: Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou

Comments: Source code: this https URL

Subjects: Machine Learning (cs.LG)

[21]  arXiv:2309.00367 [pdf, other]

Title: Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark

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

Subjects: Machine Learning (cs.LG)

[22]  arXiv:2309.00379 [pdf, other]

Title: Anomaly detection with semi-supervised classification based on risk estimators

Authors: Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb

Subjects: Machine Learning (cs.LG)

[23]  arXiv:2309.00416 [pdf, other]

Title: Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond

Authors: Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta

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

[24]  arXiv:2309.00417 [pdf, other]

Title: Area-norm COBRA on Conditional Survival Prediction

Authors: Rahul Goswami, Arabin Kr. Dey

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Quantitative Methods (q-bio.QM); Computation (stat.CO); Machine Learning (stat.ML)

[25]  arXiv:2309.00462 [pdf, other]

Title: New metrics for analyzing continual learners

Authors: Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher, Toshihiko Yamasaki

Comments: 6 pages, presented at MIRU 2023

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