Machine Learning

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

University of Tartu thesis: transfer learning boosts Estonian AI models

A doctoral thesis at the University of Tartu reveals that effective Estonian-language artificial intelligence models can be developed des...

Sam Altman's Coworkers Say He Can Barely Code and Misunderstands Basic Machine Learning Concepts

[2603.25551] Voxtral TTS

Abstract page for arXiv paper 2603.25551: Voxtral TTS

[2603.25633] Is Mathematical Problem-Solving Expertise in Large Language Models Associated with Assessment Performance?

Abstract page for arXiv paper 2603.25633: Is Mathematical Problem-Solving Expertise in Large Language Models Associated with Assessment P...

[2603.24828] A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study

Abstract page for arXiv paper 2603.24828: A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproduci...

[2603.25415] Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation

Abstract page for arXiv paper 2603.25415: Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation

[2603.24790] Local learning for stable backpropagation-free neural network training towards physical learning

Abstract page for arXiv paper 2603.24790: Local learning for stable backpropagation-free neural network training towards physical learning

[2603.25498] EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

Abstract page for arXiv paper 2603.25498: EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

[2603.24780] Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback

Abstract page for arXiv paper 2603.24780: Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback

[2603.25480] Retraining as Approximate Bayesian Inference

Abstract page for arXiv paper 2603.25480: Retraining as Approximate Bayesian Inference

[2603.24753] Light Cones For Vision: Simple Causal Priors For Visual Hierarchy

Abstract page for arXiv paper 2603.24753: Light Cones For Vision: Simple Causal Priors For Visual Hierarchy

[2603.25450] Cross-Model Disagreement as a Label-Free Correctness Signal

Abstract page for arXiv paper 2603.25450: Cross-Model Disagreement as a Label-Free Correctness Signal

[2603.24744] Contrastive Learning Boosts Deterministic and Generative Models for Weather Data

Abstract page for arXiv paper 2603.24744: Contrastive Learning Boosts Deterministic and Generative Models for Weather Data

[2603.25412] Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

Abstract page for arXiv paper 2603.25412: Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

[2603.25379] Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting

Abstract page for arXiv paper 2603.25379: Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study...

[2603.24709] Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards

Abstract page for arXiv paper 2603.24709: Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated R...

[2603.25356] 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles

Abstract page for arXiv paper 2603.25356: 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles

[2603.24695] Amplified Patch-Level Differential Privacy for Free via Random Cropping

Abstract page for arXiv paper 2603.24695: Amplified Patch-Level Differential Privacy for Free via Random Cropping

[2603.25334] Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks

Abstract page for arXiv paper 2603.25334: Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous ...

[2603.24648] Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation

Abstract page for arXiv paper 2603.24648: Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things...

[2603.24641] Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

Abstract page for arXiv paper 2603.24641: Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

[2603.25328] Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles

Abstract page for arXiv paper 2603.25328: Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automa...