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Machine Learning

[P] I tested Meta’s brain-response model on posts. It predicted the Elon one almost perfectly.

I built an experimental UI and visualization layer around Meta’s open brain-response model just to see whether this stuff actually works ...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] Why does it seem like open source materials on ML are incomplete? this is not enough...

Many times when I try to deeply understand a topic in machine learning — whether it's a new architecture, a quantization method, a full t...

Reddit - Machine Learning · 1 min ·
Top 10 AI certifications and courses for 2026
Ai Startups

Top 10 AI certifications and courses for 2026

This article reviews the top 10 AI certifications and courses for 2026, highlighting their significance in a rapidly evolving field and t...

AI Events · 15 min ·

All Content

[2603.19497] ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes
Machine Learning

[2603.19497] ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes

Abstract page for arXiv paper 2603.19497: ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes

arXiv - Machine Learning · 3 min ·
[2603.19486] Any-Subgroup Equivariant Networks via Symmetry Breaking
Llms

[2603.19486] Any-Subgroup Equivariant Networks via Symmetry Breaking

Abstract page for arXiv paper 2603.19486: Any-Subgroup Equivariant Networks via Symmetry Breaking

arXiv - Machine Learning · 4 min ·
[2603.19299] PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling
Machine Learning

[2603.19299] PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling

Abstract page for arXiv paper 2603.19299: PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovas...

arXiv - Machine Learning · 4 min ·
[2603.16513] FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
Llms

[2603.16513] FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data

Abstract page for arXiv paper 2603.16513: FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data

arXiv - AI · 4 min ·
[2601.03302] CageDroneRF: A Large-Scale RF Benchmark and Toolkit for Drone Perception
Robotics

[2601.03302] CageDroneRF: A Large-Scale RF Benchmark and Toolkit for Drone Perception

Abstract page for arXiv paper 2601.03302: CageDroneRF: A Large-Scale RF Benchmark and Toolkit for Drone Perception

arXiv - AI · 4 min ·
[2511.21448] The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
Llms

[2511.21448] The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs

Abstract page for arXiv paper 2511.21448: The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs

arXiv - AI · 4 min ·
[2511.17318] FORWARD: Dataset of a forwarder operating in rough terrain
Machine Learning

[2511.17318] FORWARD: Dataset of a forwarder operating in rough terrain

Abstract page for arXiv paper 2511.17318: FORWARD: Dataset of a forwarder operating in rough terrain

arXiv - Machine Learning · 4 min ·
[2603.20179] AI Agents Can Already Autonomously Perform Experimental High Energy Physics
Llms

[2603.20179] AI Agents Can Already Autonomously Perform Experimental High Energy Physics

Abstract page for arXiv paper 2603.20179: AI Agents Can Already Autonomously Perform Experimental High Energy Physics

arXiv - AI · 4 min ·
[2603.20116] Chain-of-Adaptation: Surgical Vision-Language Adaptation with Reinforcement Learning
Machine Learning

[2603.20116] Chain-of-Adaptation: Surgical Vision-Language Adaptation with Reinforcement Learning

Abstract page for arXiv paper 2603.20116: Chain-of-Adaptation: Surgical Vision-Language Adaptation with Reinforcement Learning

arXiv - AI · 3 min ·
[2603.19888] Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
Machine Learning

[2603.19888] Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning

Abstract page for arXiv paper 2603.19888: Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning

arXiv - AI · 4 min ·
[2603.19825] FrameNet Semantic Role Classification by Analogy
Data Science

[2603.19825] FrameNet Semantic Role Classification by Analogy

Abstract page for arXiv paper 2603.19825: FrameNet Semantic Role Classification by Analogy

arXiv - AI · 3 min ·
[2603.19722] FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients
Nlp

[2603.19722] FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients

Abstract page for arXiv paper 2603.19722: FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients

arXiv - AI · 4 min ·
[2603.19516] Gastric-X: A Multimodal Multi-Phase Benchmark Dataset for Advancing Vision-Language Models in Gastric Cancer Analysis
Llms

[2603.19516] Gastric-X: A Multimodal Multi-Phase Benchmark Dataset for Advancing Vision-Language Models in Gastric Cancer Analysis

Abstract page for arXiv paper 2603.19516: Gastric-X: A Multimodal Multi-Phase Benchmark Dataset for Advancing Vision-Language Models in G...

arXiv - AI · 4 min ·
[2603.19426] Is Evaluation Awareness Just Format Sensitivity? Limitations of Probe-Based Evidence under Controlled Prompt Structure
Llms

[2603.19426] Is Evaluation Awareness Just Format Sensitivity? Limitations of Probe-Based Evidence under Controlled Prompt Structure

Abstract page for arXiv paper 2603.19426: Is Evaluation Awareness Just Format Sensitivity? Limitations of Probe-Based Evidence under Cont...

arXiv - AI · 3 min ·
[2603.19305] PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking
Machine Learning

[2603.19305] PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking

Abstract page for arXiv paper 2603.19305: PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking

arXiv - AI · 4 min ·
[2603.19291] A Visualization for Comparative Analysis of Regression Models
Machine Learning

[2603.19291] A Visualization for Comparative Analysis of Regression Models

Abstract page for arXiv paper 2603.19291: A Visualization for Comparative Analysis of Regression Models

arXiv - AI · 4 min ·
[2603.19288] Joint Return and Risk Modeling with Deep Neural Networks for Portfolio Construction
Machine Learning

[2603.19288] Joint Return and Risk Modeling with Deep Neural Networks for Portfolio Construction

Abstract page for arXiv paper 2603.19288: Joint Return and Risk Modeling with Deep Neural Networks for Portfolio Construction

arXiv - Machine Learning · 4 min ·
[2603.19260] HATL: Hierarchical Adaptive-Transfer Learning Framework for Sign Language Machine Translation
Data Science

[2603.19260] HATL: Hierarchical Adaptive-Transfer Learning Framework for Sign Language Machine Translation

Abstract page for arXiv paper 2603.19260: HATL: Hierarchical Adaptive-Transfer Learning Framework for Sign Language Machine Translation

arXiv - AI · 4 min ·
[2603.19252] GeoChallenge: A Multi-Answer Multiple-Choice Benchmark for Geometric Reasoning with Diagrams
Llms

[2603.19252] GeoChallenge: A Multi-Answer Multiple-Choice Benchmark for Geometric Reasoning with Diagrams

Abstract page for arXiv paper 2603.19252: GeoChallenge: A Multi-Answer Multiple-Choice Benchmark for Geometric Reasoning with Diagrams

arXiv - AI · 3 min ·
[2603.19500] Teaching an Agent to Sketch One Part at a Time
Llms

[2603.19500] Teaching an Agent to Sketch One Part at a Time

Abstract page for arXiv paper 2603.19500: Teaching an Agent to Sketch One Part at a Time

arXiv - Machine Learning · 3 min ·
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Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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