Machine Learning

Authors and titles for recent submissions, skipping first 365

• 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)

[366]  arXiv:2405.13779 (cross-list from cs.CV) [pdf, other]

Title: Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data

Authors: Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Liu

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

[367]  arXiv:2405.13771 (cross-list from eess.IV) [pdf, other]

Title: Multi-Dataset Multi-Task Learning for COVID-19 Prognosis

Authors: Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi

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

[368]  arXiv:2405.13762 (cross-list from cs.CV) [pdf, other]

Title: A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation

Authors: Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS)

[369]  arXiv:2405.13758 (cross-list from cs.CV) [pdf, other]

Title: Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks

Authors: Mohit Prabhushankar, Ghassan AlRegib

Comments: 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR)

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

[370]  arXiv:2405.13757 (cross-list from eess.IV) [pdf, other]

Title: A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data

Authors: Etienne Chollet, Yael Balbastre, Caroline Magnain, Bruce Fischl, Hui Wang

Comments: 5 Pages, 2 figures. Accepted by Medical Imaging with Deep Learning

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

[371]  arXiv:2405.13740 (cross-list from cs.SE) [pdf, other]

Title: Mining Action Rules for Defect Reduction Planning

Authors: Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh

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

[372]  arXiv:2405.13735 (cross-list from eess.SY) [pdf, other]

Title: Transfer of Safety Controllers Through Learning Deep Inverse Dynamics Model

Authors: Alireza Nadali, Ashutosh Trivedi, Majid Zamani

Comments: Extended Version, submitted to 2024 ADHS

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

[373]  arXiv:2405.13731 (cross-list from stat.ML) [pdf, other]

Title: Control, Transport and Sampling: Towards Better Loss Design

Authors: Qijia Jiang, David Nabergoj

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

[374]  arXiv:2405.13710 (cross-list from eess.IV) [pdf, other]

Title: Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging through Data-Centric Strategies

Authors: Amine Marzouki, Zhuxian Guo, Qinghe Zeng, Camille Kurtz, Nicolas Loménie

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

[375]  arXiv:2405.13670 (cross-list from cs.SI) [pdf, ps, other]

Title: GNN-based Anomaly Detection for Encoded Network Traffic

Authors: Anasuya Chattopadhyay, Daniel Reti, Hans D. Schotten

Subjects: Social and Information Networks (cs.SI); Cryptography and Security (cs.CR); Machine Learning (cs.LG)

[376]  arXiv:2405.13640 (cross-list from cs.CL) [pdf, other]

Title: Knowledge Graph Reasoning with Self-supervised Reinforcement Learning

Authors: Ying Ma, Owen Burns, Mingqiu Wang, Gang Li, Nan Du, Laurent El Shafey, Liqiang Wang, Izhak Shafran, Hagen Soltau

Comments: 17 pages, 11 figures

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

[377]  arXiv:2405.13637 (cross-list from cs.CV) [pdf, other]

Title: Curriculum Direct Preference Optimization for Diffusion and Consistency Models

Authors: Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Nicu Sebe, Mubarak Shah

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

[378]  arXiv:2405.13602 (cross-list from cs.AI) [pdf, other]

Title: COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typing

Authors: Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan

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

[379]  arXiv:2405.13587 (cross-list from stat.ML) [pdf, other]

Title: Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

Authors: Christian Holberg, Cristopher Salvi

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

[380]  arXiv:2405.13574 (cross-list from stat.CO) [pdf, other]

Title: Reinforcement Learning for Adaptive MCMC

Authors: Congye Wang, Wilson Chen, Heishiro Kanagawa, Chris. J. Oates

Subjects: Computation (stat.CO); Machine Learning (cs.LG)

[381]  arXiv:2405.13568 (cross-list from cs.CR) [pdf, other]

Title: CPE-Identifier: Automated CPE identification and CVE summaries annotation with Deep Learning and NLP

Authors: Wanyu Hu, Vrizlynn L. L. Thing

Comments: International Conference on Information Systems Security and Privacy 2024

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

[382]  arXiv:2405.13541 (cross-list from cs.CL) [pdf, other]

Title: Annotation-Efficient Preference Optimization for Language Model Alignment

Authors: Yuu Jinnai, Ukyo Honda

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

[383]  arXiv:2405.13516 (cross-list from cs.CL) [pdf, other]

Title: LIRE: listwise reward enhancement for preference alignment

Authors: Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao

Comments: Accepted by ACL 2024 Findings

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

[384]  arXiv:2405.13515 (cross-list from quant-ph) [pdf, other]

Title: Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification

Authors: Yixiong Chen, Weichuan Fang

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

[385]  arXiv:2405.13512 (cross-list from cs.SY) [pdf, other]

Title: Coverage Path Planning for Thermal Interface Materials

Authors: Simon Baeuerle, Andreas Steimer, Ralf Mikut

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

[386]  arXiv:2405.13481 (cross-list from stat.ML) [pdf, other]

Title: Locally Private Estimation with Public Features

Authors: Yuheng Ma, Ke Jia, Hanfang Yang

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

[387]  arXiv:2405.13469 (cross-list from astro-ph.EP) [pdf, other]

Title: Machine Learning for Exoplanet Detection in High-Contrast Spectroscopy: Revealing Exoplanets by Leveraging Hidden Molecular Signatures in Cross-Correlated Spectra with Convolutional Neural Networks

Authors: Emily O. Garvin, Markus J. Bonse, Jean Hayoz, Gabriele Cugno, Jonas Spiller, Polychronis A. Patapis, Dominique Petit Dit de la Roche, Rakesh Nath-Ranga, Olivier Absil, Nicolai F. Meinshausen, Sascha P. Quanz

Comments: 27 pages, 24 figures. Submitted for publication in A&A January 2, 2024. After first iteration with the referee, resubmitted May 17, 2024

Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG); Applications (stat.AP)

[388]  arXiv:2405.13468 (cross-list from astro-ph.EP) [pdf, other]

Title: Machine learning for exoplanet detection in high-contrast spectroscopy Combining cross correlation maps and deep learning on medium-resolution integral-field spectra

Authors: Rakesh Nath-Ranga, Olivier Absil, Valentin Christiaens, Emily O. Garvin

Comments: Accepted for publication in A&A on 23/04/2024. Total 15 pages of text, 7 figures

Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Machine Learning (cs.LG); Applied Physics (physics.app-ph); Data Analysis, Statistics and Probability (physics.data-an)

[389]  arXiv:2405.13456 (cross-list from stat.ML) [pdf, other]

Title: Deep linear networks for regression are implicitly regularized towards flat minima

Authors: Pierre Marion, Lénaïc Chizat

Comments: 46 pages, 4 figures

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

[390]  arXiv:2405.13413 (cross-list from cs.IT) [pdf, other]

Title: Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks

Authors: Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No

Comments: 12 pages, 11 figures

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

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