Steven Horng

4 papers · 2016–2023 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🚀 Conference Pioneer

Venues

MLHC (4)

Top co-authors

David Sontag (3) Monica Agrawal (2) Seth Berkowitz (1) William M. Wells (1) Ching-Yun Ko (1) David Karger (1) Polina Golland (1) Luke Murray (1) Shannon Shen (1) Nicholas Kurtzman (1)

Research topics

Machine Learning (4) Core Methods (4) Artificial Intelligence (2) Learning Types (2) Deep Learning (1) Natural Language Processing (1) Applications (1) Architectures (1) Bayesian & Probabilistic (1) Core AI (1)

Keywords

representation learning (1) contrastive learning (1) text classification (1) parameter estimation (1) information retrieval (1) probabilistic graphical model (1) noisy label (1) electronic health record (1) structured data (1) debiased learning (1) false negative (1) image-text model (1) clinical documentation (1) neural network (1) healthcare nlp (1) electronic medical record (1) keystroke reduction (1) note retrieval (1) clinical condition (1)

Papers

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes MLHC 2023 Sample-Specific Debiasing for Better Image-Text Models MLHC 2023 Fast, Structured Clinical Documentation via Contextual Autocomplete MLHC 2020 Clinical Tagging with Joint Probabilistic Models MLHC 2016