Machine Learning

ML algorithms, training, and inference

This Week's Best | Monthly Best | Guide | Trending

Top This Week

UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

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...

AI News - General · 4 min ·
Machine Learning

AI assistants are optimized to seem helpful. That is not the same thing as being helpful.

RLHF trains models on human feedback. Humans rate responses they like. And it turns out humans consistently rate confident, fluent, agree...

Reddit - Artificial Intelligence · 1 min ·
Llms

wtf bro did what? arc 3 2026

The Physarum Explorer is a high-speed, bio-inspired neural model designed specifically for ARC geometry. Here is the snapshot of its curr...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.18865] RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction
Machine Learning

[2603.18865] RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map Construction

Abstract page for arXiv paper 2603.18865: RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelit...

arXiv - Machine Learning · 4 min ·
[2603.18853] Learn for Variation: Variationally Guided AAV Trajectory Learning in Differentiable Environments
Machine Learning

[2603.18853] Learn for Variation: Variationally Guided AAV Trajectory Learning in Differentiable Environments

Abstract page for arXiv paper 2603.18853: Learn for Variation: Variationally Guided AAV Trajectory Learning in Differentiable Environments

arXiv - Machine Learning · 4 min ·
[2603.14831] Neural Networks as Local-to-Global Computations
Machine Learning

[2603.14831] Neural Networks as Local-to-Global Computations

Abstract page for arXiv paper 2603.14831: Neural Networks as Local-to-Global Computations

arXiv - Machine Learning · 4 min ·
[2603.11804] OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs
Llms

[2603.11804] OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs

Abstract page for arXiv paper 2603.11804: OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs

arXiv - Machine Learning · 4 min ·
[2602.07058] SPARE: Self-distillation for PARameter-Efficient Removal
Machine Learning

[2602.07058] SPARE: Self-distillation for PARameter-Efficient Removal

Abstract page for arXiv paper 2602.07058: SPARE: Self-distillation for PARameter-Efficient Removal

arXiv - Machine Learning · 4 min ·
[2602.00381] Modeling Image-Caption Rating from Comparative Judgments
Machine Learning

[2602.00381] Modeling Image-Caption Rating from Comparative Judgments

Abstract page for arXiv paper 2602.00381: Modeling Image-Caption Rating from Comparative Judgments

arXiv - Machine Learning · 4 min ·
[2512.23138] Why Machine Learning Models Systematically Underestimate Extreme Values II: How to Fix It with LatentNN
Machine Learning

[2512.23138] Why Machine Learning Models Systematically Underestimate Extreme Values II: How to Fix It with LatentNN

Abstract page for arXiv paper 2512.23138: Why Machine Learning Models Systematically Underestimate Extreme Values II: How to Fix It with ...

arXiv - Machine Learning · 4 min ·
[2512.16917] Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning
Llms

[2512.16917] Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning

Abstract page for arXiv paper 2512.16917: Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2512.04000] Divide, then Ground: Adapting Frame Selection to Query Types for Long-Form Video Understanding
Machine Learning

[2512.04000] Divide, then Ground: Adapting Frame Selection to Query Types for Long-Form Video Understanding

Abstract page for arXiv paper 2512.04000: Divide, then Ground: Adapting Frame Selection to Query Types for Long-Form Video Understanding

arXiv - Machine Learning · 4 min ·
[2511.21542] E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete Diffusion
Machine Learning

[2511.21542] E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete Diffusion

Abstract page for arXiv paper 2511.21542: E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete Diffusion

arXiv - Machine Learning · 4 min ·
[2511.20888] Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets
Machine Learning

[2511.20888] Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets

Abstract page for arXiv paper 2511.20888: Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets

arXiv - Machine Learning · 4 min ·
[2510.12728] Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior
Llms

[2510.12728] Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior

Abstract page for arXiv paper 2510.12728: Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior

arXiv - Machine Learning · 4 min ·
[2510.10223] You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs
Llms

[2510.10223] You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs

Abstract page for arXiv paper 2510.10223: You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs

arXiv - Machine Learning · 4 min ·
[2510.04607] From Imperative to Declarative: Towards LLM-friendly OS Interfaces for Boosted Computer-Use Agents
Llms

[2510.04607] From Imperative to Declarative: Towards LLM-friendly OS Interfaces for Boosted Computer-Use Agents

Abstract page for arXiv paper 2510.04607: From Imperative to Declarative: Towards LLM-friendly OS Interfaces for Boosted Computer-Use Agents

arXiv - Machine Learning · 4 min ·
[2508.02046] NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks
Machine Learning

[2508.02046] NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks

Abstract page for arXiv paper 2508.02046: NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks

arXiv - Machine Learning · 4 min ·
[2507.00629] Generalization performance of narrow one-hidden layer networks in the teacher-student setting
Machine Learning

[2507.00629] Generalization performance of narrow one-hidden layer networks in the teacher-student setting

Abstract page for arXiv paper 2507.00629: Generalization performance of narrow one-hidden layer networks in the teacher-student setting

arXiv - Machine Learning · 4 min ·
[2506.20334] Recurrent neural network-based robust control systems with regional properties and application to MPC design
Machine Learning

[2506.20334] Recurrent neural network-based robust control systems with regional properties and application to MPC design

Abstract page for arXiv paper 2506.20334: Recurrent neural network-based robust control systems with regional properties and application ...

arXiv - Machine Learning · 4 min ·
[2505.20714] Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting
Machine Learning

[2505.20714] Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting

Abstract page for arXiv paper 2505.20714: Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting

arXiv - Machine Learning · 4 min ·
[2504.03486] Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej
Machine Learning

[2504.03486] Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej

Abstract page for arXiv paper 2504.03486: Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDas...

arXiv - Machine Learning · 4 min ·
[2502.02861] Algorithms with Calibrated Machine Learning Predictions
Machine Learning

[2502.02861] Algorithms with Calibrated Machine Learning Predictions

Abstract page for arXiv paper 2502.02861: Algorithms with Calibrated Machine Learning Predictions

arXiv - Machine Learning · 4 min ·
Previous Page 95 Next

Related Topics

Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI AI Safety & Ethics

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Subscribe to Newsletter

Daily or weekly digest • Unsubscribe anytime