Understanding reinforcement learning for model training from scratch
medium.com·1d·
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Red teams are safe from robots for now, as AI makes better shield than spear
theregister.com·12h·
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Quantized Neural Network Pruning via Adaptive Stochastic Gradient Descent
dev.to·5h·
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Street-Level AI: Are Large Language Models Ready for Real-World Judgments?
arxiv.org·1h
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Reparameterization Proximal Policy Optimization
arxiv.org·1d
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AI-Powered Anomaly Detection & Root Cause Analysis in Automated UI Regression Testing
dev.to·9h·
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Exploring the Challenges and Opportunities of AI-assisted Codebase Generation
arxiv.org·1h
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From Explainable to Explanatory Artificial Intelligence: Toward a New Paradigm for Human-Centered Explanations through Generative AI
arxiv.org·1d
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AI: Great Expectations
rodneybrooks.com·1d·
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Grasp-HGN: Grasping the Unexpected
arxiv.org·1h
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When and how can inexact generative models still sample from the data manifold?
arxiv.org·1h
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SCAR: State-Space Compression for AI-Driven Resource Management in 6G-Enabled Vehicular Infotainment Systems
arxiv.org·1d
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MIND: A Noise-Adaptive Denoising Framework for Medical Images Integrating Multi-Scale Transformer
arxiv.org·1h
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Few-Shot Deployment of Pretrained MRI Transformers in Brain Imaging Tasks
arxiv.org·1d
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Selective Contrastive Learning for Weakly Supervised Affordance Grounding
arxiv.org·1h
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6 Programming Languages Powering AI in 2025
dev.to·12h·
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Taking the Garbage Out of Data-Driven Prediction Across Climate Timescales
arxiv.org·1h
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FLUID: Flow-Latent Unified Integration via Token Distillation for Expert Specialization in Multimodal Learning
arxiv.org·1h
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A Federated Learning Framework for Handling Subtype Confounding and Heterogeneity in Large-Scale Neuroimaging Diagnosis
arxiv.org·1h
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Fractal Language Modelling by Universal Sequence Maps (USM)
arxiv.org·1h
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