Machine Learning

ML algorithms, training, and inference

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

Top This Week

[2603.12365] Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws
Machine Learning

[2603.12365] Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws

Abstract page for arXiv paper 2603.12365: Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws

arXiv - Machine Learning · 4 min ·
[2603.17573] HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness
Machine Learning

[2603.17573] HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness

Abstract page for arXiv paper 2603.17573: HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Aw...

arXiv - Machine Learning · 4 min ·
[2512.20562] Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention
Machine Learning

[2512.20562] Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention

Abstract page for arXiv paper 2512.20562: Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnab...

arXiv - Machine Learning · 4 min ·

All Content

[2604.04646] Training-Free Refinement of Flow Matching with Divergence-based Sampling
Machine Learning

[2604.04646] Training-Free Refinement of Flow Matching with Divergence-based Sampling

Abstract page for arXiv paper 2604.04646: Training-Free Refinement of Flow Matching with Divergence-based Sampling

arXiv - AI · 3 min ·
[2604.04634] Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale
Machine Learning

[2604.04634] Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale

Abstract page for arXiv paper 2604.04634: Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale

arXiv - AI · 4 min ·
[2604.04593] Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering
Llms

[2604.04593] Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering

Abstract page for arXiv paper 2604.04593: Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering

arXiv - AI · 4 min ·
[2604.04565] PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervised Finetuning
Llms

[2604.04565] PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervised Finetuning

Abstract page for arXiv paper 2604.04565: PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervi...

arXiv - AI · 3 min ·
[2604.04563] Temporal Inversion for Learning Interval Change in Chest X-Rays
Llms

[2604.04563] Temporal Inversion for Learning Interval Change in Chest X-Rays

Abstract page for arXiv paper 2604.04563: Temporal Inversion for Learning Interval Change in Chest X-Rays

arXiv - AI · 3 min ·
[2604.04562] Paper Espresso: From Paper Overload to Research Insight
Llms

[2604.04562] Paper Espresso: From Paper Overload to Research Insight

Abstract page for arXiv paper 2604.04562: Paper Espresso: From Paper Overload to Research Insight

arXiv - AI · 3 min ·
[2604.04561] Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities
Llms

[2604.04561] Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities

Abstract page for arXiv paper 2604.04561: Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vuln...

arXiv - AI · 4 min ·
[2604.04552] StableTTA: Training-Free Test-Time Adaptation that Improves Model Accuracy on ImageNet1K to 96%
Machine Learning

[2604.04552] StableTTA: Training-Free Test-Time Adaptation that Improves Model Accuracy on ImageNet1K to 96%

Abstract page for arXiv paper 2604.04552: StableTTA: Training-Free Test-Time Adaptation that Improves Model Accuracy on ImageNet1K to 96%

arXiv - AI · 3 min ·
[2604.04490] RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation
Machine Learning

[2604.04490] RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation

Abstract page for arXiv paper 2604.04490: RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation

arXiv - AI · 3 min ·
[2604.04450] Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation
Llms

[2604.04450] Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation

Abstract page for arXiv paper 2604.04450: Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for C...

arXiv - AI · 3 min ·
[2604.04440] Training Transformers in Cosine Coefficient Space
Llms

[2604.04440] Training Transformers in Cosine Coefficient Space

Abstract page for arXiv paper 2604.04440: Training Transformers in Cosine Coefficient Space

arXiv - AI · 3 min ·
[2604.04418] Justified or Just Convincing? Error Verifiability as a Dimension of LLM Quality
Llms

[2604.04418] Justified or Just Convincing? Error Verifiability as a Dimension of LLM Quality

Abstract page for arXiv paper 2604.04418: Justified or Just Convincing? Error Verifiability as a Dimension of LLM Quality

arXiv - AI · 3 min ·
[2604.04411] Responses Fall Short of Understanding: Revealing the Gap between Internal Representations and Responses in Visual Document Understanding
Llms

[2604.04411] Responses Fall Short of Understanding: Revealing the Gap between Internal Representations and Responses in Visual Document Understanding

Abstract page for arXiv paper 2604.04411: Responses Fall Short of Understanding: Revealing the Gap between Internal Representations and R...

arXiv - AI · 3 min ·
[2604.04384] Compressible Softmax-Attended Language under Incompressible Attention
Llms

[2604.04384] Compressible Softmax-Attended Language under Incompressible Attention

Abstract page for arXiv paper 2604.04384: Compressible Softmax-Attended Language under Incompressible Attention

arXiv - AI · 3 min ·
[2604.04359] GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering
Llms

[2604.04359] GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering

Abstract page for arXiv paper 2604.04359: GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering

arXiv - AI · 4 min ·
[2604.04353] ReFinE: Streamlining UI Mockup Iteration with Research Findings
Machine Learning

[2604.04353] ReFinE: Streamlining UI Mockup Iteration with Research Findings

Abstract page for arXiv paper 2604.04353: ReFinE: Streamlining UI Mockup Iteration with Research Findings

arXiv - AI · 3 min ·
[2604.04306] HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data
Llms

[2604.04306] HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data

Abstract page for arXiv paper 2604.04306: HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Obser...

arXiv - AI · 4 min ·
[2604.04299] A Persistent Homology Design Space for 3D Point Cloud Deep Learning
Machine Learning

[2604.04299] A Persistent Homology Design Space for 3D Point Cloud Deep Learning

Abstract page for arXiv paper 2604.04299: A Persistent Homology Design Space for 3D Point Cloud Deep Learning

arXiv - AI · 4 min ·
[2604.04289] Poisoned Identifiers Survive LLM Deobfuscation: A Case Study on Claude Opus 4.6
Llms

[2604.04289] Poisoned Identifiers Survive LLM Deobfuscation: A Case Study on Claude Opus 4.6

Abstract page for arXiv paper 2604.04289: Poisoned Identifiers Survive LLM Deobfuscation: A Case Study on Claude Opus 4.6

arXiv - AI · 4 min ·
[2604.04263] Commercial Persuasion in AI-Mediated Conversations
Llms

[2604.04263] Commercial Persuasion in AI-Mediated Conversations

Abstract page for arXiv paper 2604.04263: Commercial Persuasion in AI-Mediated Conversations

arXiv - AI · 3 min ·
Previous Page 257 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