research
∙
06/20/2023
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Generative, pre-trained transformers (GPTs, a.k.a. "Foundation Models") ...
share
research
∙
11/30/2021
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
A collection of the accepted abstracts for the Machine Learning for Heal...
research
∙
03/18/2021
Rethinking Relational Encoding in Language Model: Pre-Training for General Sequences
Language model pre-training (LMPT) has achieved remarkable results in na...
research
∙
01/31/2021
Adversarial Contrastive Pre-training for Protein Sequences
Recent developments in Natural Language Processing (NLP) demonstrate tha...
research
∙
11/19/2020
ML4H Abstract Track 2020
A collection of the accepted abstracts for the Machine Learning for Heal...
research
∙
07/20/2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
Multi-task learning (MTL) is a machine learning technique aiming to impr...
research
∙
06/26/2020
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output
It is often infeasible or impossible to obtain ground truth labels for m...
research
∙
02/05/2020
ML4H Abstract Track 2019
A collection of the accepted abstracts for the Machine Learning for Heal...
research
∙
11/22/2019
Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning
Modeling the relationship between chemical structure and molecular activ...
research
∙
08/02/2019
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
When training clinical prediction models from electronic health records ...
research
∙
07/19/2019
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
Robust machine learning relies on access to data that can be used with s...
research
∙
07/02/2019
Reproducibility in Machine Learning for Health
Machine learning algorithms designed to characterize, monitor, and inter...
research
∙
06/19/2019
Reflex: Flexible Framework for Relation Extraction in Multiple Domains
Systematic comparison of methods for relation extraction (RE) is difficu...
research
∙
04/06/2019
Publicly Available Clinical BERT Embeddings
Contextual word embedding models such as ELMo (Peters et al., 2018) and ...
research
∙
11/30/2018