Showing 1–20 of 76 results
/ Date/ Name
Nov 17, 2017Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial TrainingSep 26, 2020Few distance sets in $\ell_p$ spaces and $\ell_p$ product spacesAug 22, 2018Rethinking Monocular Depth Estimation with Adversarial TrainingSep 1, 2017Understanding the Effect of Incentivized Advertising along the Conversion FunnelJun 29, 2019SLAM Endoscopy enhanced by adversarial depth predictionJul 27, 2021Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional NetworksJun 6, 2022Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised LearningNov 6, 2019The Fourier Transform Method for Volatility Functional Inference by Asynchronous ObservationsMar 31, 2024"Sound and Fury": Nonlinear Functionals of Volatility Matrix in the Presence of Jump and NoiseMar 1, 2022Self-Supervised Vision Transformers Learn Visual Concepts in HistopathologyOct 1, 2021Algorithm Fairness in AI for Medicine and HealthcareAug 29, 2023A General-Purpose Self-Supervised Model for Computational PathologyDec 18, 2015Model-Free Approaches to Discern Non-Stationary Microstructure Noise and Time-Varying Liquidity in High-Frequency DataOct 10, 2018Inference for Volatility Functionals of Multivariate Itô Semimartingales Observed with Jump and NoiseDec 18, 2019Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and PrognosisAug 4, 2021Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep LearningFeb 13, 2018Evolved Policy GradientsSep 8, 2011The Masked Sample Covariance Estimator: An Analysis via Matrix Concentration InequalitiesJan 28, 2012Matrix concentration inequalities via the method of exchangeable pairsJun 5, 2017UCB Exploration via Q-Ensembles