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[P] Using YouTube as a data source (lessons from building a coffee domain dataset)

I started working on a small coffee coaching app recently - something that could answer questions around brew methods, grind size, extrac...

Reddit - Machine Learning · 1 min ·
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 ·
[2603.16629] MLLM-based Textual Explanations for Face Comparison
Llms

[2603.16629] MLLM-based Textual Explanations for Face Comparison

Abstract page for arXiv paper 2603.16629: MLLM-based Textual Explanations for Face Comparison

arXiv - AI · 4 min ·

All Content

[2603.00363] Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems
Data Science

[2603.00363] Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems

Abstract page for arXiv paper 2603.00363: Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems

arXiv - Machine Learning · 3 min ·
[2603.00368] Deep Learning-Based Meat Freshness Detection with Segmentation and OOD-Aware Classification
Machine Learning

[2603.00368] Deep Learning-Based Meat Freshness Detection with Segmentation and OOD-Aware Classification

Abstract page for arXiv paper 2603.00368: Deep Learning-Based Meat Freshness Detection with Segmentation and OOD-Aware Classification

arXiv - Machine Learning · 4 min ·
[2603.00342] Challenges in Enabling Private Data Valuation
Machine Learning

[2603.00342] Challenges in Enabling Private Data Valuation

Abstract page for arXiv paper 2603.00342: Challenges in Enabling Private Data Valuation

arXiv - Machine Learning · 4 min ·
[2603.00253] CoPeP: Benchmarking Continual Pretraining for Protein Language Models
Llms

[2603.00253] CoPeP: Benchmarking Continual Pretraining for Protein Language Models

Abstract page for arXiv paper 2603.00253: CoPeP: Benchmarking Continual Pretraining for Protein Language Models

arXiv - Machine Learning · 4 min ·
[2603.00222] Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital Forensic Excellence
Data Science

[2603.00222] Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital Forensic Excellence

Abstract page for arXiv paper 2603.00222: Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital...

arXiv - AI · 4 min ·
[2603.00221] A medical coding language model trained on clinical narratives from a population-wide cohort of 1.8 million patients
Llms

[2603.00221] A medical coding language model trained on clinical narratives from a population-wide cohort of 1.8 million patients

Abstract page for arXiv paper 2603.00221: A medical coding language model trained on clinical narratives from a population-wide cohort of...

arXiv - Machine Learning · 4 min ·
[2603.00217] Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection
Robotics

[2603.00217] Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection

Abstract page for arXiv paper 2603.00217: Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection

arXiv - AI · 4 min ·
[2603.00201] AdURA-Net: Adaptive Uncertainty and Region-Aware Network
Data Science

[2603.00201] AdURA-Net: Adaptive Uncertainty and Region-Aware Network

Abstract page for arXiv paper 2603.00201: AdURA-Net: Adaptive Uncertainty and Region-Aware Network

arXiv - AI · 3 min ·
[2603.00197] A Case Study on Concept Induction for Neuron-Level Interpretability in CNN
Machine Learning

[2603.00197] A Case Study on Concept Induction for Neuron-Level Interpretability in CNN

Abstract page for arXiv paper 2603.00197: A Case Study on Concept Induction for Neuron-Level Interpretability in CNN

arXiv - AI · 3 min ·
[2603.00173] Summer-22B: A Systematic Approach to Dataset Engineering and Training at Scale for Video Foundation Model
Llms

[2603.00173] Summer-22B: A Systematic Approach to Dataset Engineering and Training at Scale for Video Foundation Model

Abstract page for arXiv paper 2603.00173: Summer-22B: A Systematic Approach to Dataset Engineering and Training at Scale for Video Founda...

arXiv - Machine Learning · 3 min ·
[2603.00160] DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops
Machine Learning

[2603.00160] DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops

Abstract page for arXiv paper 2603.00160: DINOv3 Meets YOLO26 for Weed Detection in Vegetable Crops

arXiv - AI · 4 min ·
[2603.00108] SurgFusion-Net: Diversified Adaptive Multimodal Fusion Network for Surgical Skill Assessment
Robotics

[2603.00108] SurgFusion-Net: Diversified Adaptive Multimodal Fusion Network for Surgical Skill Assessment

Abstract page for arXiv paper 2603.00108: SurgFusion-Net: Diversified Adaptive Multimodal Fusion Network for Surgical Skill Assessment

arXiv - AI · 4 min ·
[2603.00087] High-Resolution Range Profile Classifiers Require Aspect-Angle Awareness
Machine Learning

[2603.00087] High-Resolution Range Profile Classifiers Require Aspect-Angle Awareness

Abstract page for arXiv paper 2603.00087: High-Resolution Range Profile Classifiers Require Aspect-Angle Awareness

arXiv - Machine Learning · 3 min ·
[2603.00086] Iterative LLM-based improvement for French Clinical Interview Transcription and Speaker Diarization
Llms

[2603.00086] Iterative LLM-based improvement for French Clinical Interview Transcription and Speaker Diarization

Abstract page for arXiv paper 2603.00086: Iterative LLM-based improvement for French Clinical Interview Transcription and Speaker Diariza...

arXiv - AI · 3 min ·
[2603.00044] Property-Driven Evaluation of GNN Expressiveness at Scale: Datasets, Framework, and Study
Machine Learning

[2603.00044] Property-Driven Evaluation of GNN Expressiveness at Scale: Datasets, Framework, and Study

Abstract page for arXiv paper 2603.00044: Property-Driven Evaluation of GNN Expressiveness at Scale: Datasets, Framework, and Study

arXiv - Machine Learning · 4 min ·
[2603.00016] Beyond Static Instruction: A Multi-agent AI Framework for Adaptive Augmented Reality Robot Training
Machine Learning

[2603.00016] Beyond Static Instruction: A Multi-agent AI Framework for Adaptive Augmented Reality Robot Training

Abstract page for arXiv paper 2603.00016: Beyond Static Instruction: A Multi-agent AI Framework for Adaptive Augmented Reality Robot Trai...

arXiv - AI · 3 min ·
[2603.01452] Scaling Tasks, Not Samples: Mastering Humanoid Control through Multi-Task Model-Based Reinforcement Learning
Machine Learning

[2603.01452] Scaling Tasks, Not Samples: Mastering Humanoid Control through Multi-Task Model-Based Reinforcement Learning

Abstract page for arXiv paper 2603.01452: Scaling Tasks, Not Samples: Mastering Humanoid Control through Multi-Task Model-Based Reinforce...

arXiv - AI · 4 min ·
[2603.01396] HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts
Llms

[2603.01396] HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts

Abstract page for arXiv paper 2603.01396: HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts

arXiv - AI · 3 min ·
[2603.01152] DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent
Machine Learning

[2603.01152] DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent

Abstract page for arXiv paper 2603.01152: DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent

arXiv - AI · 3 min ·
[2603.00691] AIoT-based Continuous, Contextualized, and Explainable Driving Assessment for Older Adults
Data Science

[2603.00691] AIoT-based Continuous, Contextualized, and Explainable Driving Assessment for Older Adults

Abstract page for arXiv paper 2603.00691: AIoT-based Continuous, Contextualized, and Explainable Driving Assessment for Older Adults

arXiv - AI · 4 min ·
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