Showing 1–20 of 27 results
/ Date/ Name
May 15, 2017Probabilistic Matrix Factorization for Automated Machine LearningFeb 13, 2019Probabilistic Neural Architecture SearchFeb 21, 2014Genetic Analysis of Transformed PhenotypesSep 10, 2021Rapid Model Architecture Adaption for Meta-LearningMay 3, 2021Initialization and Regularization of Factorized Neural LayersOct 24, 2022Budget-Constrained Bounds for Mini-Batch Estimation of Optimal TransportFeb 6, 2024Tag-LLM: Repurposing General-Purpose LLMs for Specialized DomainsOct 28, 2018Gaussian Process Prior Variational AutoencodersFeb 7, 2020Geometric Dataset Distances via Optimal TransportJul 12, 2021LANA: Latency Aware Network AccelerationOct 21, 2021On Hard Episodes in Meta-LearningAug 1, 2024Virchow2: Scaling Self-Supervised Mixed Magnification Models in PathologyMay 16, 2024PRISM: A Multi-Modal Generative Foundation Model for Slide-Level HistopathologyJun 16, 2025PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical DialogueMar 12, 2026Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language ModelsOct 20, 2020Model-specific Data Subsampling with Influence FunctionsAug 27, 2019Feature Gradients: Scalable Feature Selection via Discrete RelaxationMar 20, 2020Weighted Meta-LearningSep 14, 2023Virchow: A Million-Slide Digital Pathology Foundation ModelSep 26, 2013Gaussian Processes for Big Data