Machine Learning Research Papers & ML Models

January 31, 2026

Physics-Informed Neural Networks: Navigating Discontinuities, Time, and Uncertainty with Novel Architectures and Optimizers

Latest 11 papers on physics-informed neural networks: Jan. 31, 2026

January 31, 2026

Artificial Intelligence Computer Vision Machine Learning

Catastrophic Forgetting: Unpacking Recent Breakthroughs in Continual Learning

Latest 39 papers on catastrophic forgetting: Jan. 31, 2026

January 31, 2026

Artificial Intelligence Computation and Language Machine Learning

Unlocking the Future: Navigating the Latest Breakthroughs in AI Agents

Latest 80 papers on agents: Jan. 31, 2026

January 31, 2026

Artificial Intelligence Computer Vision Machine Learning

Decoding the ‘Why’ and ‘How’: Recent Leaps in Chain-of-Thought Reasoning for AI

Latest 6 papers on chain-of-thought reasoning: Jan. 31, 2026

January 31, 2026

Artificial Intelligence Computation and Language Machine Learning

∀ Reasoning: Scaling Smarter, Not Just Bigger, in the Age of LLMs

Latest 30 papers on mathematical reasoning: Jan. 31, 2026

January 31, 2026

Artificial Intelligence Computer Vision Machine Learning

Adversarial Attacks: Navigating the Shifting Sands of AI Security

Latest 21 papers on adversarial attacks: Jan. 31, 2026

January 31, 2026

Artificial Intelligence Machine Learning Signal Processing

Meta-Learning Takes Center Stage: Bridging Generalization, Efficiency, and Personalization in AI

Latest 18 papers on meta-learning: Jan. 31, 2026

January 31, 2026

Artificial Intelligence Computation and Language Machine Learning

Parameter-Efficient Fine-Tuning: Unlocking the Next Generation of Adaptable AI

Latest 14 papers on parameter-efficient fine-tuning: Jan. 31, 2026

January 31, 2026

Artificial Intelligence Computation and Language Machine Learning

Unlocking Low-Resource Languages: New Frontiers in Multilingual AI

Latest 15 papers on low-resource languages: Jan. 31, 2026

January 31, 2026

Artificial Intelligence Computer Vision Machine Learning

Feature Extraction Frontiers: Unlocking Deeper Insights Across Modalities and Domains

Latest 61 papers on feature extraction: Jan. 31, 2026

Physics-Informed Neural Networks: Navigating Discontinuities, Time, and Uncertainty with Novel Architectures and Optimizers

Catastrophic Forgetting: Unpacking Recent Breakthroughs in Continual Learning

Unlocking the Future: Navigating the Latest Breakthroughs in AI Agents

Decoding the ‘Why’ and ‘How’: Recent Leaps in Chain-of-Thought Reasoning for AI

∀ Reasoning: Scaling Smarter, Not Just Bigger, in the Age of LLMs

Adversarial Attacks: Navigating the Shifting Sands of AI Security

Meta-Learning Takes Center Stage: Bridging Generalization, Efficiency, and Personalization in AI

Parameter-Efficient Fine-Tuning: Unlocking the Next Generation of Adaptable AI

Unlocking Low-Resource Languages: New Frontiers in Multilingual AI

Feature Extraction Frontiers: Unlocking Deeper Insights Across Modalities and Domains

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