Machine Learning

Authors and titles for cs.LG in Mar 2023, skipping first 150

[151]  arXiv:2303.01806 [pdf, other]

Title: When does Privileged Information Explain Away Label Noise?

Authors: Guillermo Ortiz-Jimenez, Mark Collier, Anant Nawalgaria, Alexander D'Amour, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou

Comments: Accepted ICML 2023, Honolulu

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

[152]  arXiv:2303.01819 [pdf, other]

Title: Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens

Authors: Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique

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

[153]  arXiv:2303.01841 [pdf, other]

Title: Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections

Authors: Edward De Brouwer, Rahul G. Krishnan

Comments: Accepted at ICLR 2023

Journal-ref: International Conference on Learning Representations (ICLR) 2023

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

[154]  arXiv:2303.01859 [pdf, other]

Title: POPGym: Benchmarking Partially Observable Reinforcement Learning

Authors: Steven Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok

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

[155]  arXiv:2303.01913 [pdf, other]

Title: Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment

Authors: Jong-Ryul Lee, Yong-Hyuk Moon

Comments: This is the extended version of our AAAI-2023 paper (this https URL)

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

[156]  arXiv:2303.01926 [pdf, other]

Title: RAFEN -- Regularized Alignment Framework for Embeddings of Nodes

Authors: Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz

Comments: ICCS 2023

Subjects: Machine Learning (cs.LG)

[157]  arXiv:2303.01928 [pdf, other]

Title: FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values

Authors: Adrian Arnaiz-Rodriguez, Nuria Oliver

Comments: 33 pages, 11 figures, 7 tables

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

[158]  arXiv:2303.01936 [pdf, other]

Title: Multi-Agent Adversarial Training Using Diffusion Learning

Authors: Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed

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

[159]  arXiv:2303.01949 [pdf, ps, other]

Title: Artificial Intelligence for Dementia Research Methods Optimization

Authors: Magda Bucholc, Charlotte James, Ahmad Al Khleifat, AmanPreet Badhwar, Natasha Clarke, Amir Dehsarvi, Christopher R. Madan, Sarah J. Marzi, Cameron Shand, Brian M. Schilder, Stefano Tamburin, Hanz M. Tantiangco, Ilianna Lourida, David J. Llewellyn, Janice M. Ranson

Comments: Magda Bucholc and Charlotte James joint first authors

Subjects: Machine Learning (cs.LG); Quantitative Methods (q-bio.QM); Applications (stat.AP); Methodology (stat.ME)

[160]  arXiv:2303.01963 [pdf, ps, other]

Title: Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning

Authors: Dong Ho Lee, Jaemyung Ahn

Comments: 48 pages, 18 figures, 7 tables

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

[161]  arXiv:2303.01978 [pdf, other]

Title: Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks

Authors: Louis Bethune, Paul Novello, Thibaut Boissin, Guillaume Coiffier, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis

Comments: 27 pages, 11 figures, International Conference on Machine Learning 2023, (ICML 2023)

Subjects: Machine Learning (cs.LG)

[162]  arXiv:2303.01980 [pdf, ps, other]

Title: Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle

Authors: Vanessa Mehlin, Sigurd Schacht, Carsten Lanquillon

Subjects: Machine Learning (cs.LG)

[163]  arXiv:2303.01983 [pdf, ps, other]

Title: Auto-weighted Multi-view Clustering for Large-scale Data

Authors: Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou

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

[164]  arXiv:2303.01986 [pdf, other]

Title: Towards Democratizing Joint-Embedding Self-Supervised Learning

Authors: Florian Bordes, Randall Balestriero, Pascal Vincent

Subjects: Machine Learning (cs.LG)

[165]  arXiv:2303.02023 [pdf, other]

Title: Graph-level representations using ensemble-based readout functions

Authors: Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz

Comments: International Conference on Computational Science (ICCS) 2023

Subjects: Machine Learning (cs.LG)

[166]  arXiv:2303.02045 [pdf, other]

Title: Uncertainty Estimation by Fisher Information-based Evidential Deep Learning

Authors: Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng

Comments: ICML2023

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

[167]  arXiv:2303.02047 [pdf, other]

Title: On the complexity of PAC learning in Hilbert spaces

Authors: Sergei Chubanov

Comments: 16 pages, 2 figures, to appear in the proceedings of the AAAI-2023 conference

Subjects: Machine Learning (cs.LG); Functional Analysis (math.FA); Machine Learning (stat.ML)

[168]  arXiv:2303.02063 [pdf, other]

Title: Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook

Authors: Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu

Subjects: Machine Learning (cs.LG)

[169]  arXiv:2303.02073 [pdf, other]

Title: How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement

Authors: Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu

Subjects: Machine Learning (cs.LG)

[170]  arXiv:2303.02115 [pdf, other]

Title: Nature's Cost Function: Simulating Physics by Minimizing the Action

Authors: Tim Strang, Isabella Caruso, Sam Greydanus

Comments: Code at: github.com/greydanus/ncf. 4 pages, 4 figures (additional figures and pages in Appendix)

Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); Computational Physics (physics.comp-ph); Quantum Physics (quant-ph)

[171]  arXiv:2303.02135 [pdf, other]

Title: Eventual Discounting Temporal Logic Counterfactual Experience Replay

Authors: Cameron Voloshin, Abhinav Verma, Yisong Yue

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO); Robotics (cs.RO); Systems and Control (eess.SY)

[172]  arXiv:2303.02141 [pdf, other]

Title: Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!

Authors: Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Jaiswal, Zhangyang Wang

Comments: We open-source SMC-Bench to assist researchers in building next-generation sparse algorithms that scale and generalize: this https URL

Subjects: Machine Learning (cs.LG)

[173]  arXiv:2303.02182 [pdf, other]

Title: CoRL: Environment Creation and Management Focused on System Integration

Authors: Justin D. Merrick, Benjamin K. Heiner, Cameron Long, Brian Stieber, Steve Fierro, Vardaan Gangal, Madison Blake, Joshua Blackburn

Comments: for code, see this https URL

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

[174]  arXiv:2303.02186 [pdf, ps, other]

Title: Causal Deep Learning

Authors: Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

Comments: arXiv admin note: substantial text overlap with arXiv:2212.00911

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

[175]  arXiv:2303.02204 [pdf, other]

Title: KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science

Authors: Mossad Helali, Niki Monjazeb, Shubham Vashisth, Philippe Carrier, Ahmed Helal, Antonio Cavalcante, Khaled Ammar, Katja Hose, Essam Mansour

Comments: 15 pages, 9 figures

Subjects: Machine Learning (cs.LG)