BigQuery under the hood: How Google brought embeddings to analytics
cloud.google.com·19h
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The Complete Guide to Building Data Pipelines That Don’t Break
kdnuggets.com·21h
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MoM – Mixture of Model Service
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Investigating U.S. Consumer Demand for Food Products with Innovative Transportation Certificates Based on Stated Preferences and Machine Learning Approaches
arxiv.org·2d
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Structural Properties, Cycloid Trajectories and Non-Asymptotic Guarantees of EM Algorithm for Mixed Linear Regression
arxiv.org·2d
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Google-MedGemma Based Abnormality Detection in Musculoskeletal radiographs
arxiv.org·1d
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MT-HuBERT: Self-Supervised Mix-Training for Few-Shot Keyword Spotting in Mixed Speech
arxiv.org·1d
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Symbol Detection in Multi-channel Multi-tag Ambient Backscatter Communication Under IQ Imbalance
arxiv.org·7h
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Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models
arxiv.org·7h
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Adaptive Sample-Level Framework Motivated by Distributionally Robust Optimization with Variance-Based Radius Assignment for Enhanced Neural Network Generalizati...
arxiv.org·1d
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Improving Asset Allocation in a Fast Moving Consumer Goods B2B Company: An Interpretable Machine Learning Framework for Commercial Cooler Assignment Based on Mu...
arxiv.org·1d
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Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
arxiv.org·7h
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multiMentalRoBERTa: A Fine-tuned Multiclass Classifier for Mental Health Disorder
arxiv.org·2d
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SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
arxiv.org·1d
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Beyond Softmax: Dual-Branch Sigmoid Architecture for Accurate Class Activation Maps
arxiv.org·1d
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