Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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28,741 to 28,800 of 32,696

Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning
Satwat Bashir, Tasos Dagiuklas
cs.LGcs.DCarXiv:2609.12903v12026
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning
Qingkai Liang, Fanyu Que, Eytan Modiano
cs.AIcs.LGstat.MLarXiv:1802.06480v12018
FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios
Xiangru Jian, Hao Xu, Wei Pang +13
cs.CVcs.AIcs.LGarXiv:2604.07413v22026
Deep Neural Networks and Tabular Data: A Survey
Vadim Borisov, Tobias Leemann, Kathrin Seßler +3
cs.LGarXiv:2110.01889v32021
Scaling laws for amplitude surrogates
Henning Bahl, Victor Bresó-Pla, Anja Butter +1
hep-phcs.LGarXiv:2601.13308v12026
Optimizing for the decision not the prediction: an exploration of Smooth Net Benefit as a training objective
Koen M. F. Gorgels, Lasai Barreñada, Maarten van Smeden +3
cs.LGarXiv:2609.12752v12026
GenOR-Twin: A Semantic Middleware for Integrating Operational Discourse with Mathematical Optimization
Rahimeh Neamatian Monemi, Shahin Gelareh, Lubin Cui +1
cs.LGarXiv:2609.12863v12026
Where Decoder Cosine Similarity Fails for SAE Feature Flow Discovery
Hendrik Droste, Christian Medeiros Adriano, Kathrin Korte +1
cs.LGarXiv:2609.12591v12026
Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling
Saeb Tounsi, Joël Chavas, Pietro Gori +3
cs.LGcs.CVarXiv:2609.12627v12026
RiPPLE: Cross-Space Performance Prediction from Early Training for Neural Architecture Search
Yifan Yang, Zhaoyan Wang, Zheng Gao +2
cs.LGcs.CVarXiv:2609.12418v12026
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Jianheng Tang, Fengrui Hua, Ziqi Gao +2
cs.LGarXiv:2306.12251v22023
A Differentially Private Federated Proximal Optimization Framework for Customer Churn Prediction in Heterogeneous Federated Telecom Networks
Joydeb Kumar Sana, Subrata Chakraborty, M M Manjurul Islam
cs.LGarXiv:2609.12470v12026
Causal-fate dynamics of unrealized influence
Yiwei Liu, Luwei Yang, Shunbo Lei
eess.SYcs.LGcs.SYarXiv:2610.11422v12026
When Connected Does Not Mean Similar: Charting the Homophily Boundary of SNAP-KG for Streaming Entity Integration
Jui-Chien Lin, Oshani Seneviratne
cs.LGarXiv:2609.12356v12026
ParaRecover: A Process-Level Benchmark for Error Localization and Recovery in Parallel Tool-Use Agents
Bowen Guan, Zhentao Yin, Yanming Shen
cs.LGcs.SEarXiv:2609.12345v12026
PA-CDM: Position-Aware Character Detection Matching for Evaluating Handwritten Mathematical Expression Recognition
Shiliang Luo
cs.CVcs.CLcs.LGarXiv:2609.12917v12026
Large-Scale Benchmarking of Quantum Neural Network Configurations for Financial Time Series Forecasting
Jack Waller, Xing Liang, Dimitrios Makris +1
cs.LGquant-pharXiv:2610.12148v12026
Simulating Disengaged Students to Evaluate LLM-based Tutors
Xianghui Meng, Jionghao Lin
cs.LGarXiv:2609.12331v12026
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models
Chao Yan, Yao Yan, Zhiyu Wan +5
cs.LGcs.AIcs.CYarXiv:2208.01230v12022
A Structured Dictionary Perspective on Implicit Neural Representations
Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar +1
cs.LGcs.CVarXiv:2112.01917v22021
On the Difference Between the Information Bottleneck and the Deep Information Bottleneck
Aleksander Wieczorek, Volker Roth
cs.LGcs.ITmath.ITarXiv:1912.13480v12019
Attention Quantization for Tabular Foundation Models
Jonas M. Kübler, Benjamin Jäger, Klemens Flöge +2
cs.LGcs.AIarXiv:2609.13031v12026
Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System
Galib Muhammad Shahriar Himel, Md. Masudul Islam, Kh Abdullah Al-Aff +2
eess.IVcs.CVcs.LGarXiv:2401.04746v12024
4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling
Deifilia Kieckhefen, Juan Pedro Gutiérrez Hermosillo Muriedas, Lars Helge Heyen +12
physics.ao-phcs.AIcs.DCarXiv:2609.12815v12026
How Hackable Is Your Speech Quality Metric? A Corrected Protocol, a Benchmark, and What Patching Buys
Ali Alavi, Donald S. Williamson
cs.LGarXiv:2610.10899v12026
Few-Shot Segmentation Propagation with Guided Networks
Kate Rakelly, Evan Shelhamer, Trevor Darrell +2
cs.CVcs.LGstat.MLarXiv:1806.07373v12018
TokenMapper: A Step Toward Interoperable Speech Token Translation
Tal Kozakov, Tal Rosenwein, Eliya Nachmani
cs.LGcs.AIcs.SDarXiv:2609.12563v12026
Beyond the Query: Do Retrieval Signals Improve Adaptive Multimodal RAG Routing?
Qiaomu Li, Qiuyuan Zhang, Nong Ming
cs.LGcs.AIarXiv:2609.12437v12026
Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma
Yeonjae Jung, Minwoo Shin
cs.LGcs.AIarXiv:2609.12435v12026
Multimodal Graph Retrieval-Augmented Sequential Recommendation via Collaborative Filtering Paths
Jason Marcell Setiadi, Xin Cao, Lina Yao
cs.LGarXiv:2610.11228v12026
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques
Kota Dohi, Keisuke Imoto, Noboru Harada +7
cs.SDcs.LGeess.ASarXiv:2206.05876v22022
Selective Listening: Mechanism-Guided Control of Audio Influence in Large Audio-Language Models
Yulin Sun, Kele Xu, Yong Dou
cs.SDcs.CLcs.LGarXiv:2610.11196v12026
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
Zhen Xiang, Fengqing Jiang, Zidi Xiong +3
cs.CRcs.LGarXiv:2401.12242v12024
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
Bilge Acun, Matthew Murphy, Xiaodong Wang +3
cs.ARcs.LGarXiv:2011.05497v12020
What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework
Ioannis Prokopiou, Athanasios Aidinis, Panagiotis-Christos Kyrmpatsos +1
cs.AIcs.CLcs.LGarXiv:2609.12746v12026
Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks
Diego Perna, Andrea Tagarelli
eess.AScs.LGcs.SDarXiv:1907.05708v12019
InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery
He Cao, Zijing Liu, Xingyu Lu +2
q-bio.BMcs.AIcs.LGarXiv:2311.16208v22023
Affective Agent: On-Device Personalized Intervention Reasoning for Wearable Systems
Reina Mun, Zishen Wan, Vijay Janapa Reddi
cs.AIcs.LGarXiv:2609.12322v12026
Learning to Edit Visual Programs with Self-Supervision
R. Kenny Jones, Renhao Zhang, Aditya Ganeshan +1
cs.CVcs.AIcs.GRarXiv:2406.02383v22024
ShapeMOD: Macro Operation Discovery for 3D Shape Programs
R. Kenny Jones, David Charatan, Paul Guerrero +2
cs.GRcs.AIcs.CVarXiv:2104.06392v32021
Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries
Ben Opperman, Eduardo Alonso, Esther Mondragón
cs.LGcs.AIarXiv:2609.13035v12026
The Roles of Supervised Machine Learning in Systems Neuroscience
Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi +1
q-bio.NCcs.LGstat.MLarXiv:1805.08239v22018
Sample-Efficiency of Kolmogorov-Arnold Networks
Kevin Riehl, Shaimaa K. El-Baklish, Fan Wu +1
cs.LGarXiv:2610.10627v12026
PIVOT: Perplexity-Informed KD-to-RL Transition Scheduling for Vertical-Domain Few-Shot Distillation
Heng Li, Yong Zhang, Ning Cheng +5
cs.LGcs.AIarXiv:2610.11167v12026
Implementation Guidelines for Data Quality Metrics
Philipp Jung, Katinka Becker, Felix Biessmann +4
cs.DBcs.LGarXiv:2610.10919v12026
Language Models for Page-Level Layout Decisions in E-commerce Search
Varun Joshi, Eva C. Song, ChengXiang Zhai
cs.LGcs.CLcs.IRarXiv:2610.10920v12026
Machine Unlearning for Causal Inference
Vikas Ramachandra, Mohit Sethi
cs.LGarXiv:2308.13559v12023
Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizations
Keivalya Pandya, Mehfuza Holia
cs.CLcs.CYcs.LGarXiv:2310.05421v12023
PyRep: Bringing V-REP to Deep Robot Learning
Stephen James, Marc Freese, Andrew J. Davison
cs.ROcs.CVcs.LGarXiv:1906.11176v12019
Unlocking the Regulatory Genome by ARGUS: An Evidence-Constrained Agentic Framework for Interpreting Single Nucleotide Variants
Pratik Dutta, Matthew B. Obusan, Max Chao +3
q-bio.GNcs.AIcs.LGarXiv:2610.12281v12026
Phonological Interference in Multilingual Speech Models
Moran Yanuka, Raja Giryes, Moris Alper
cs.CLcs.LGarXiv:2610.11275v12026
Learning to Plan by Looking Back: Hindsight Hierarchies for Training Reasoning Models
Lars Simon, Holger Eble, Manuel Radons
cs.AIcs.LGcs.LOarXiv:2610.12168v12026
RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty
Gukhyeon Lee, SangKeun Lee
cs.AIcs.CLcs.LGarXiv:2610.11352v12026
dynnode2vec: Scalable Dynamic Network Embedding
Sedigheh Mahdavi, Shima Khoshraftar, Aijun An
cs.LGcs.SIstat.MLarXiv:1812.02356v22018
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry
Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman +3
cs.CVcs.LGarXiv:2401.15563v32024
Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models
Surya Narayanan Hari, Matt Thomson
cs.LGcs.AIcs.CLarXiv:2308.11601v22023
Domain Adaptive Transfer Learning for Fault Diagnosis
Qin Wang, Gabriel Michau, Olga Fink
stat.MLcs.LGstat.AParXiv:1905.06004v12019
What Next-Event Accuracy Cannot See: Closed-Loop Evaluation of Emergency Department Trajectory Simulators
Zhen Xuen Brandon Low
cs.LGcs.AIarXiv:2609.31635v12026
Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models
Haonan He, Yuchen Ren, Yining Tang +12
q-bio.BMcs.AIcs.LGarXiv:2412.19191v22024
Camera-Noise Residuals for Face-Swap Detection: Redundant, Not Complementary, and Why
Danil Davydov, Bader Rasheed, Dmitriy Vatolin
cs.LGarXiv:2610.11683v12026

Machine Learning

Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning

Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning

FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios

Deep Neural Networks and Tabular Data: A Survey

Scaling laws for amplitude surrogates

Optimizing for the decision not the prediction: an exploration of Smooth Net Benefit as a training objective

GenOR-Twin: A Semantic Middleware for Integrating Operational Discourse with Mathematical Optimization

Where Decoder Cosine Similarity Fails for SAE Feature Flow Discovery

Geometric-to-Semantic Spherical Transfer Learning for Cortical Sulci Labeling

RiPPLE: Cross-Space Performance Prediction from Early Training for Neural Architecture Search

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection

A Differentially Private Federated Proximal Optimization Framework for Customer Churn Prediction in Heterogeneous Federated Telecom Networks

Causal-fate dynamics of unrealized influence

When Connected Does Not Mean Similar: Charting the Homophily Boundary of SNAP-KG for Streaming Entity Integration

ParaRecover: A Process-Level Benchmark for Error Localization and Recovery in Parallel Tool-Use Agents

PA-CDM: Position-Aware Character Detection Matching for Evaluating Handwritten Mathematical Expression Recognition

Large-Scale Benchmarking of Quantum Neural Network Configurations for Financial Time Series Forecasting

Simulating Disengaged Students to Evaluate LLM-based Tutors

A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models

A Structured Dictionary Perspective on Implicit Neural Representations

On the Difference Between the Information Bottleneck and the Deep Information Bottleneck

Attention Quantization for Tabular Foundation Models

Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System

4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling

How Hackable Is Your Speech Quality Metric? A Corrected Protocol, a Benchmark, and What Patching Buys

Few-Shot Segmentation Propagation with Guided Networks

TokenMapper: A Step Toward Interoperable Speech Token Translation

Beyond the Query: Do Retrieval Signals Improve Adaptive Multimodal RAG Routing?

Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma

Multimodal Graph Retrieval-Augmented Sequential Recommendation via Collaborative Filtering Paths

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques

Selective Listening: Mechanism-Guided Control of Audio Influence in Large Audio-Language Models

BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models

Understanding Training Efficiency of Deep Learning Recommendation Models at Scale

What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework

Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks

InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery

Affective Agent: On-Device Personalized Intervention Reasoning for Wearable Systems

Learning to Edit Visual Programs with Self-Supervision

ShapeMOD: Macro Operation Discovery for 3D Shape Programs

Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries

The Roles of Supervised Machine Learning in Systems Neuroscience

Sample-Efficiency of Kolmogorov-Arnold Networks

PIVOT: Perplexity-Informed KD-to-RL Transition Scheduling for Vertical-Domain Few-Shot Distillation

Implementation Guidelines for Data Quality Metrics

Language Models for Page-Level Layout Decisions in E-commerce Search

Machine Unlearning for Causal Inference

Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizations

PyRep: Bringing V-REP to Deep Robot Learning

Unlocking the Regulatory Genome by ARGUS: An Evidence-Constrained Agentic Framework for Interpreting Single Nucleotide Variants

Phonological Interference in Multilingual Speech Models

Learning to Plan by Looking Back: Hindsight Hierarchies for Training Reasoning Models

RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty

dynnode2vec: Scalable Dynamic Network Embedding

BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry

Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Domain Adaptive Transfer Learning for Fault Diagnosis

What Next-Event Accuracy Cannot See: Closed-Loop Evaluation of Emergency Department Trajectory Simulators

Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models

Camera-Noise Residuals for Face-Swap Detection: Redundant, Not Complementary, and Why