Using Machine Learning in CAD to Detect Design Flaws Before They Become Costly
⛰️Gradient Descent
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A Decade of AI Platform at Pinterest
🚀Streamlit
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The Case That A.I. Is Thinking
🦠Whole cell model
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An open dataset of Chinese duration expressions
nature.com·2d
✂Polyadenylation
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CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
arxiv.org·1d
📦Pseudobulk
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GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
arxiv.org·18h
📊Empirical Bayes
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Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
arxiv.org·2d
🦆DuckDB
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·1d
🔗Markov Chains
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High-Resolution Magnetic Particle Imaging System Matrix Recovery Using a Vision Transformer with Residual Feature Network
arxiv.org·18h
🗺️Manifold Learning
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Information recycling in coherent state discrimination
arxiv.org·18h
🔗Markov Chains
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Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
arxiv.org·18h
📊Empirical Bayes
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Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis
arxiv.org·1d
🗺️UMAP
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Augmenting learning in neuro-embodied systems through neurobiological first principles
arxiv.org·1d
⛰️Gradient Descent
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Few-Shot Multimodal Medical Imaging: A Theoretical Framework
arxiv.org·1d
🗺️UMAP
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Beyond Brute Force: AI That Thinks Like an Engineer by Arvind Sundararajan
⛰️Gradient Descent
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Mutual Information guided Visual Contrastive Learning
arxiv.org·1d
🗺️Manifold Learning
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Discriminately Treating Motion Components Evolves Joint Depth and Ego-Motion Learning
arxiv.org·1d
🗺️Manifold Learning
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