Distributed Hierarchical Machine Learning for Joint Resource Allocation and Slice Selection in In-Network Edge Systems
arxiv.org·2d
🌐Distributed Systems
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Bringing Federated Learning to Space
arxiv.org·22h
🔶TensorFlow
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Bigger datasets aren't always better
🎯Optimization Theory
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Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks
arxiv.org·2d
∂Automatic Differentiation
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Discovering Operational Patterns Using Image-Based Convolutional Clustering and Composite Evaluation: A Case Study in Foundry Melting Processes
arxiv.org·2d
🎯Optimization Theory
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Bayesian Optimization in Language Space: An Eval-Efficient AI Self-Improvement Framework
arxiv.org·2d
🗣️Large Language Models
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Cost-Aware Prediction (CAP): An LLM-Enhanced Machine Learning Pipeline and Decision Support System for Heart Failure Mortality Prediction
arxiv.org·22h
🗣️Large Language Models
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TSFM in-context learning for time-series classification of bearing-health status
arxiv.org·22h
📈Statistical Learning
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LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
arxiv.org·22h
∂Automatic Differentiation
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Opinion Mining and Analysis Using Hybrid Deep Neural Networks
arxiv.org·22h
🧠Neural Networks
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Hyperspectral Super-Resolution with Inter-Image Variability via Degradation-based Low-Rank and Residual Fusion Method
arxiv.org·22h
📈Statistical Learning
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Diffusion Models: A Mathematical Introduction
arxiv.org·2d
🎮Reinforcement Learning
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RSPose: Ranking Based Losses for Human Pose Estimation
arxiv.org·1d
📊Data Science
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Oversampling techniques for predicting COVID-19 patient length of stay
arxiv.org·22h
⏱️Time Series Analysis
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Generating Natural-Language Surgical Feedback: From Structured Representation to Domain-Grounded Evaluation
arxiv.org·22h
💬Natural Language Processing
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Critical Evaluation of Quantum Machine Learning for Adversarial Robustness
arxiv.org·22h
🧠Deep Learning
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A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
arxiv.org·1d
🎯Optimization Theory
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