What is Artificial Intelligence? A Simple Explanation for Everyone
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“Reasoning with Sampling” — Notes on Karan & Du (2025)
kosti.bearblog.dev·1d
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Machine Learning vs Deep Learning: I Finally Get the Difference
dev.to·3d·
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Seeing Shapes: Unveiling Neural Network Vision with Fourier Geometry by Arvind Sundararajan
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When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs
arxiv.org·5h
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Cross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation
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Can Training Dynamics of Scale-Invariant Neural Networks Be Explained by the Thermodynamics of an Ideal Gas?
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Explainable Deep Learning-based Classification of Wolff-Parkinson-White Electrocardiographic Signals
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Adaptive PID Control for Robotic Systems via Hierarchical Meta-Learning and Reinforcement Learning with Physics-Based Data Augmentation
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Accelerated Degradation Modeling of Automotive Semiconductor Memory via Bayesian Gaussian Process Regression
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CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models
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I Built an App That Makes Learning Algorithms Way Easier
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Robust Layerwise Scaling Rules by Proper Weight Decay Tuning
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Enhancing Robustness of Graph Neural Networks through p-Laplacian
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More Agents Helps but Adversarial Robustness Gap Persists
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A Low-Rank Method for Vision Language Model Hallucination Mitigation in Autonomous Driving
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Optimizing Diversity and Quality through Base-Aligned Model Collaboration
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[D] Information geometry, anyone?
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Simulating Clifford Circuits with Gaussian Elimination
arxiv.org·5h
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Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale
arxiv.org·5h
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