Machine Learning

Authors and titles for recent submissions, skipping first 315

• Mon, 6 May 2024
• Fri, 3 May 2024
• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024

Thu, 2 May 2024 (continued, showing 25 of 93 entries)

[316]  arXiv:2405.00182 [pdf, other]

Title: M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values

Authors: Adam Catto, Nan Jia, Ansaf Salleb-Aouissi, Anita Raja

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

[317]  arXiv:2405.00172 [pdf, other]

Title: Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings

Authors: David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI); Machine Learning (stat.ML)

[318]  arXiv:2405.00166 [pdf, other]

Title: Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks

Authors: Imran Nasim, Adam Nasim

Comments: Accepted into the International conference on Scientific Computation and Machine Learning 2024 (SCML 2024)

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

[319]  arXiv:2405.00142 [pdf, other]

Title: Utilizing Machine Learning and 3D Neuroimaging to Predict Hearing Loss: A Comparative Analysis of Dimensionality Reduction and Regression Techniques

Authors: Trinath Sai Subhash Reddy Pittala, Uma Maheswara R Meleti, Manasa Thatipamula

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

[320]  arXiv:2405.00136 [pdf, other]

Title: Data-Driven Permissible Safe Control with Barrier Certificates

Authors: Rayan Mazouz, John Skovbekk, Frederik Baymler Mathiesen, Eric Frew, Luca Laurenti, Morteza Lahijanian

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

[321]  arXiv:2405.00123 [pdf, other]

Title: Graph Neural Network Approach to Semantic Type Detection in Tables

Authors: Ehsan Hoseinzade, Ke Wang

Journal-ref: In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 121-133. Singapore: Springer Nature Singapore, 2024

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

[322]  arXiv:2405.00080 [pdf, other]

Title: Recommenadation aided Caching using Combinatorial Multi-armed Bandits

Authors: Pavamana K J, Chandramani Kishore Singh

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR); Networking and Internet Architecture (cs.NI)

[323]  arXiv:2405.00077 [pdf, other]

Title: BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations

Authors: Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang

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

[324]  arXiv:2405.00076 [pdf, ps, other]

Title: On Correcting SHAP Scores

Authors: Olivier Letoffe, Xuanxiang Huang, Joao Marques-Silva

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

[325]  arXiv:2405.00074 [pdf, other]

Title: PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks

Authors: Mark Huasong Meng, Hao Guan, Liuhuo Wan, Sin Gee Teo, Guangdong Bai, Jin Song Dong

Comments: 3 pages

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

[326]  arXiv:2405.00664 (cross-list from cs.CL) [pdf, other]

Title: Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3

Authors: Junsang Yoon, Akshat Gupta, Gopala Anumanchipalli

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

[327]  arXiv:2405.00657 (cross-list from cs.CL) [pdf, other]

Title: RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization

Authors: Dongqi Pu, Vera Demberg

Comments: NAACL 2024 Main & Long Conference Paper (Oral Presentation)

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

[328]  arXiv:2405.00647 (cross-list from physics.med-ph) [pdf, other]

Title: Screening of BindingDB database ligands against EGFR, HER2, Estrogen, Progesterone and NF-kB receptors based on machine learning and molecular docking

Authors: Parham Rezaee, Shahab Rezaee, Malik Maaza, Seyed Shahriar Arab

Subjects: Medical Physics (physics.med-ph); Machine Learning (cs.LG)

[329]  arXiv:2405.00646 (cross-list from cs.CV) [pdf, other]

Title: Learning to Compose: Improving Object Centric Learning by Injecting Compositionality

Authors: Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong

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

[330]  arXiv:2405.00642 (cross-list from stat.ML) [pdf, other]

Title: From Empirical Observations to Universality: Dynamics of Deep Learning with Inputs Built on Gaussian mixture

Authors: Jaeyong Bae, Hawoong Jeong

Comments: 19 pages, 9 figures

Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech); Machine Learning (cs.LG)

[331]  arXiv:2405.00636 (cross-list from physics.soc-ph) [pdf, other]

Title: Robustness of graph embedding methods for community detection

Authors: Zhi-Feng Wei, Pablo Moriano, Ramakrishnan Kannan

Comments: 17 pages, 26 figures, 3 tables. Comments are welcome

Subjects: Physics and Society (physics.soc-ph); Machine Learning (cs.LG); Social and Information Networks (cs.SI); Data Analysis, Statistics and Probability (physics.data-an)

[332]  arXiv:2405.00627 (cross-list from eess.SY) [pdf, other]

Title: Koopman-based Deep Learning for Nonlinear System Estimation

Authors: Zexin Sun, Mingyu Chen, John Baillieul

Comments: 11 pages

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

[333]  arXiv:2405.00622 (cross-list from cs.CL) [pdf, other]

Title: Causal Evaluation of Language Models

Authors: Sirui Chen, Bo Peng, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu

Comments: 315 pages, 230 figures, 21 tables. Project website: this https URL

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

[334]  arXiv:2405.00602 (cross-list from cs.CL) [pdf, other]

Title: Investigating Automatic Scoring and Feedback using Large Language Models

Authors: Gloria Ashiya Katuka, Alexander Gain, Yen-Yun Yu

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

[335]  arXiv:2405.00592 (cross-list from stat.ML) [pdf, other]

Title: Scaling and renormalization in high-dimensional regression

Authors: Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan

Comments: 64 pages, 16 figures

Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG)

[336]  arXiv:2405.00588 (cross-list from cs.CL) [pdf, other]

Title: Are Models Biased on Text without Gender-related Language?

Authors: Catarina G Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh

Comments: In International Conference on Learning Representations 2024

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

[337]  arXiv:2405.00532 (cross-list from cs.AI) [pdf, other]

Title: ULLER: A Unified Language for Learning and Reasoning

Authors: Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia

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

[338]  arXiv:2405.00505 (cross-list from cs.IR) [pdf, other]

Title: KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents

Authors: Oshri Naparstek, Roi Pony, Inbar Shapira, Foad Abo Dahood, Ophir Azulai, Yevgeny Yaroker, Nadav Rubinstein, Maksym Lysak, Peter Staar, Ahmed Nassar, Nikolaos Livathinos, Christoph Auer, Elad Amrani, Idan Friedman, Orit Prince, Yevgeny Burshtein, Adi Raz Goldfarb, Udi Barzelay

Comments: accepted ICDAR2024

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

[339]  arXiv:2405.00482 (cross-list from cs.CR) [pdf, other]

Title: PackVFL: Efficient HE Packing for Vertical Federated Learning

Authors: Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang

Comments: 12 pages excluding references

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

[340]  arXiv:2405.00451 (cross-list from cs.AI) [pdf, other]

Title: Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Authors: Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh

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

• Mon, 6 May 2024
• Fri, 3 May 2024
• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024