Machine Learning

Authors and titles for recent submissions, skipping first 290

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

Fri, 24 May 2024 (continued, showing 25 of 429 entries)

[291]  arXiv:2405.14574 (cross-list from stat.ML) [pdf, other]

Title: Learning with Fitzpatrick Losses

Authors: Seta Rakotomandimby, Jean-Philippe Chancelier, Michel de Lara, Mathieu Blondel

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

[292]  arXiv:2405.14573 (cross-list from cs.AI) [pdf, other]

Title: AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Authors: Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan Waltz, Gabrielle Lau, Marybeth Fair, Alice Li, William Bishop, Wei Li, Folawiyo Campbell-Ajala, Daniel Toyama, Robert Berry, Divya Tyamagundlu, Timothy Lillicrap, Oriana Riva

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

[293]  arXiv:2405.14555 (cross-list from cs.CL) [pdf, other]

Title: Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models

Authors: Abhishek Kumar, Sarfaroz Yunusov, Ali Emami

Comments: 9 pages (excluding references), accepted to ACL 2024 Main Conference

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

[294]  arXiv:2405.14545 (cross-list from q-bio.BM) [pdf, other]

Title: A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction

Authors: Hongzhi Zhang, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu

Subjects: Biomolecules (q-bio.BM); Machine Learning (cs.LG)

[295]  arXiv:2405.14540 (cross-list from stat.ML) [pdf, other]

Title: This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization

Authors: Anthony Bardou, Patrick Thiran, Giovanni Ranieri

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

[296]  arXiv:2405.14536 (cross-list from q-bio.MN) [pdf, other]

Title: Regressor-free Molecule Generation to Support Drug Response Prediction

Authors: Kun Li, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu

Comments: 22 pages, 7 figures, 9 tables,

Subjects: Molecular Networks (q-bio.MN); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[297]  arXiv:2405.14532 (cross-list from stat.ML) [pdf, other]

Title: Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem

Authors: Mathieu Even, Luca Ganassali, Jakob Maier, Laurent Massoulié

Comments: 28 pages, 1 figure. Comments are most welcome!

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)

[298]  arXiv:2405.14528 (cross-list from cs.RO) [pdf, other]

Title: Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach

Authors: Fernando E. Casado

Comments: RSS Pioneers 2024 Research Statement

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

[299]  arXiv:2405.14507 (cross-list from cs.CL) [pdf, other]

Title: Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast

Authors: Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng

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

[300]  arXiv:2405.14505 (cross-list from cs.CL) [pdf, other]

Title: Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing

Authors: Jaime González-González, Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González-Castaño, Óscar Barba-Seara

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

[301]  arXiv:2405.14494 (cross-list from math.ST) [pdf, other]

Title: Entrywise error bounds for low-rank approximations of kernel matrices

Authors: Alexander Modell

Comments: 28 pages, 3 figures

Subjects: Statistics Theory (math.ST); Machine Learning (cs.LG)

[302]  arXiv:2405.14492 (cross-list from stat.ME) [pdf, other]

Title: Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data

Authors: Tim Gyger, Reinhard Furrer, Fabio Sigrist

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

[303]  arXiv:2405.14472 (cross-list from eess.SP) [pdf, other]

Title: SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe

Authors: Joris Depoortere, Johan Driesen, Johan Suykens, Hussain Syed Kazmi

Comments: 24 pages, 5 figures

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

[304]  arXiv:2405.14467 (cross-list from cs.CV) [pdf, other]

Title: Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation

Authors: Daniel Kienzle, Marco Kantonis, Robin Schön, Rainer Lienhart

Comments: 7 pages, to be published in IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024

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

[305]  arXiv:2405.14453 (cross-list from eess.IV) [pdf, other]

Title: Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images

Authors: Jamie Burke, Justin Engelmann, Charlene Hamid, Diana Moukaddem, Dan Pugh, Neeraj Dhaun, Amos Storkey, Niall Strang, Stuart King, Tom MacGillivray, Miguel O. Bernabeu, Ian J.C. MacCormick

Comments: 13 pages, 2 figures, 8 tables (including supplementary material)

Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[306]  arXiv:2405.14436 (cross-list from cs.AI) [pdf, other]

Title: LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules

Authors: Mohamed Mejri, Chandramouli Amarnath, Abhijit Chatterjee

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

[307]  arXiv:2405.14428 (cross-list from cs.CL) [pdf, other]

Title: Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs

Authors: Jaewoo Yang, Hayun Kim, Younghoon Kim

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

[308]  arXiv:2405.14392 (cross-list from stat.ME) [pdf, other]

Title: Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

Authors: Alberto Cabezas, Louis Sharrock, Christopher Nemeth

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

[309]  arXiv:2405.14374 (cross-list from stat.ML) [pdf, other]

Title: State-Constrained Offline Reinforcement Learning

Authors: Charles A. Hepburn, Yue Jin, Giovanni Montana

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

[310]  arXiv:2405.14366 (cross-list from cs.CL) [pdf, other]

Title: MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

Authors: Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang

Comments: Tech report

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

[311]  arXiv:2405.14335 (cross-list from stat.ML) [pdf, other]

Title: Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning

Authors: Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin

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

[312]  arXiv:2405.14331 (cross-list from cs.CV) [pdf, other]

Title: LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision

Authors: Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński

Comments: Work in the review process. The code will be available upon acceptance

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

[313]  arXiv:2405.14318 (cross-list from cs.CV) [pdf, other]

Title: Adaptive Rentention & Correction for Continual Learning

Authors: Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang

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

[314]  arXiv:2405.14314 (cross-list from cs.AI) [pdf, other]

Title: Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration

Authors: Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Xuelong Li, Zhen Wang

Comments: The first two authors contributed equally

Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG); Multiagent Systems (cs.MA); Robotics (cs.RO)

[315]  arXiv:2405.14302 (cross-list from math.AT) [pdf, other]

Title: Graphcode: Learning from multiparameter persistent homology using graph neural networks

Authors: Michael Kerber, Florian Russold

Subjects: Algebraic Topology (math.AT); Machine Learning (cs.LG)

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