Machine Learning Research Papers & ML Models

February 21, 2026

Interpretable AI: Unpacking the Black Box with Causal Reasoning, Hybrid Models, and Human Alignment

Latest 100 papers on interpretability: Feb. 21, 2026

February 21, 2026

Artificial Intelligence Computation and Language Machine Learning

Transformers Unleashed: From Interpretability to Efficiency and Beyond

Latest 18 papers on transformer models: Feb. 21, 2026

February 21, 2026

Artificial Intelligence Computer Vision Machine Learning

Object Detection: Unleashing Efficiency and Robustness in the Wild

Latest 28 papers on object detection: Feb. 21, 2026

February 21, 2026

Artificial Intelligence Computation and Language Machine Learning

Natural Language Processing: Navigating Nuance, Scale, and Societal Impact with LLMs

Latest 45 papers on natural language processing: Feb. 21, 2026

February 21, 2026

Artificial Intelligence Computer Vision Machine Learning

Multi-Task Learning: Unlocking the Next Generation of AI with Efficiency and Robustness

Latest 11 papers on multi-task learning: Feb. 21, 2026

February 21, 2026

Artificial Intelligence Computer Vision Machine Learning

Image Segmentation: Navigating the Future with Adaptive Models, AI-Driven Data, and Clinician Feedback

Latest 15 papers on image segmentation: Feb. 21, 2026

February 21, 2026

Artificial Intelligence Machine Learning Robotics

Dynamic Environments: Navigating the Future of AI/ML with Latest Breakthroughs

Latest 28 papers on dynamic environments: Feb. 21, 2026

February 21, 2026

Artificial Intelligence Computation and Language Machine Learning

Machine Translation Unlocked: The Latest Breakthroughs in LLM-Powered Language AI

Latest 17 papers on machine translation: Feb. 21, 2026

February 21, 2026

Artificial Intelligence Computer Vision Machine Learning

Data Augmentation: Fueling the Next Wave of AI Innovation Across Diverse Domains

Latest 40 papers on data augmentation: Feb. 21, 2026

February 21, 2026

Artificial Intelligence Machine Learning physics.comp-ph

Physics-Informed Neural Networks: Unlocking Next-Gen Scientific Discovery and Engineering

Latest 13 papers on physics-informed neural networks: Feb. 21, 2026

Interpretable AI: Unpacking the Black Box with Causal Reasoning, Hybrid Models, and Human Alignment

Transformers Unleashed: From Interpretability to Efficiency and Beyond

Object Detection: Unleashing Efficiency and Robustness in the Wild

Natural Language Processing: Navigating Nuance, Scale, and Societal Impact with LLMs

Multi-Task Learning: Unlocking the Next Generation of AI with Efficiency and Robustness

Image Segmentation: Navigating the Future with Adaptive Models, AI-Driven Data, and Clinician Feedback

Dynamic Environments: Navigating the Future of AI/ML with Latest Breakthroughs

Machine Translation Unlocked: The Latest Breakthroughs in LLM-Powered Language AI

Data Augmentation: Fueling the Next Wave of AI Innovation Across Diverse Domains

Physics-Informed Neural Networks: Unlocking Next-Gen Scientific Discovery and Engineering

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