Marzyeh Ghassemi

research

∙ 08/09/2023

Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals

Heart failure is a debilitating condition that affects millions of peopl...

0 Hyewon Jeong, et al. ∙

research

∙ 08/03/2023

VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception

AI alignment refers to models acting towards human-intended goals, prefe...

0 Jiyoung Lee, et al. ∙

research

∙ 07/26/2023

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

Advances in large language models (LLMs) have empowered a variety of app...

0 Xuhai Xu, et al. ∙

research

∙ 05/22/2023

Evaluating the Impact of Social Determinants on Health Prediction

Social determinants of health (SDOH) – the conditions in which people li...

0 Ming Ying Yang, et al. ∙

research

∙ 05/18/2023

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification

Data sharing is crucial for open science and reproducible research, but ...

0 Yuxin Xiao, et al. ∙

research

∙ 02/23/2023

Change is Hard: A Closer Look at Subpopulation Shift

Machine learning models often perform poorly on subgroups that are under...

0 Yuzhe Yang, et al. ∙

research

∙ 01/13/2023

Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning

In safety-critical decision-making scenarios being able to identify wors...

0 Taylor W. Killian, et al. ∙

research

∙ 11/20/2022

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

Large pre-trained models decay over long-term deployment as input distri...

0 Thomas Hartvigsen, et al. ∙

research

∙ 10/19/2022

"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts

Performance of machine learning models may differ between training and d...

0 Haoran Zhang, et al. ∙

research

∙ 09/12/2022

If Influence Functions are the Answer, Then What is the Question?

Influence functions efficiently estimate the effect of removing a single...

2 Juhan Bae, et al. ∙

research

∙ 07/05/2022

Predicting Out-of-Domain Generalization with Local Manifold Smoothness

Understanding how machine learning models generalize to new environments...

0 Nathan Ng, et al. ∙

research

∙ 06/04/2022

When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction

The standard approach to personalization in machine learning consists of...

0 Vinith M. Suriyakumar, et al. ∙

research

∙ 05/08/2022

Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations

Clinical notes are becoming an increasingly important data source for ma...

0 Hammaad Adam, et al. ∙

research

∙ 05/06/2022

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations

Machine learning models in safety-critical settings like healthcare are ...

0 Aparna Balagopalan, et al. ∙

research

∙ 03/23/2022

Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning

Deep metric learning (DML) enables learning with less supervision throug...

0 Natalie Dullerud, et al. ∙

research

∙ 03/23/2022

Improving the Fairness of Chest X-ray Classifiers

Deep learning models have reached or surpassed human-level performance i...

0 Haoran Zhang, et al. ∙

research

∙ 03/17/2022

Semi-Markov Offline Reinforcement Learning for Healthcare

Reinforcement learning (RL) tasks are typically framed as Markov Decisio...

0 Mehdi Fatemi, et al. ∙

research

∙ 12/02/2021

Learning Optimal Predictive Checklists

Checklists are simple decision aids that are often used to promote safet...

5 Haoran Zhang, et al. ∙

research

∙ 10/17/2021

Quantifying the Task-Specific Information in Text-Based Classifications

Recently, neural natural language models have attained state-of-the-art ...

0 Zining Zhu, et al. ∙

research

∙ 10/08/2021

Medical Dead-ends and Learning to Identify High-risk States and Treatments

Machine learning has successfully framed many sequential decision making...

0 Mehdi Fatemi, et al. ∙

research

∙ 08/27/2021

Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing

Machine learning models achieve state-of-the-art performance on many sup...

0 Sindhu C. M. Gowda, et al. ∙

research

∙ 08/27/2021

A comparison of approaches to improve worst-case predictive model performance over patient subpopulations

Predictive models for clinical outcomes that are accurate on average in ...

0 Stephen R. Pfohl, et al. ∙

research

∙ 07/21/2021

Reading Race: AI Recognises Patient's Racial Identity In Medical Images

Background: In medical imaging, prior studies have demonstrated disparat...

17 Imon Banerjee, et al. ∙

research

∙ 07/20/2021

Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning

Deep Metric Learning (DML) aims to find representations suitable for zer...

17 Timo Milbich, et al. ∙

research

∙ 03/20/2021

An Empirical Framework for Domain Generalization in Clinical Settings

Clinical machine learning models experience significantly degraded perfo...

13 Haoran Zhang, et al. ∙

research

∙ 11/23/2020

An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Reinforcement Learning (RL) has recently been applied to sequential esti...

23 Taylor W. Killian, et al. ∙

research

∙ 11/17/2020

Confounding Feature Acquisition for Causal Effect Estimation

Reliable treatment effect estimation from observational data depends on ...

0 Shirly Wang, et al. ∙

research

∙ 10/30/2020

Improving Dialogue Breakdown Detection with Semi-Supervised Learning

Building user trust in dialogue agents requires smooth and consistent di...

0 Nathan Ng, et al. ∙

research

∙ 10/29/2020

Multiple Sclerosis Severity Classification From Clinical Text

Multiple Sclerosis (MS) is a chronic, inflammatory and degenerative neur...

0 Alister D Costa, et al. ∙

research

∙ 10/13/2020

Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings

Machine learning models in health care are often deployed in settings wh...

0 Vinith M. Suriyakumar, et al. ∙

research

∙ 09/23/2020

Probabilistic Machine Learning for Healthcare

Machine learning can be used to make sense of healthcare data. Probabili...

113 Irene Y. Chen, et al. ∙

research

∙ 09/22/2020

Ethical Machine Learning in Health Care

The use of machine learning (ML) in health care raises numerous ethical ...

75 Irene Y. Chen, et al. ∙

research

∙ 09/21/2020

SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

Models that perform well on a training domain often fail to generalize t...

15 Nathan Ng, et al. ∙

research

∙ 09/17/2020

S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning

Deep Metric Learning (DML) provides a crucial tool for visual similarity...

16 Karsten Roth, et al. ∙

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...

10 Matthew B. A. McDermott, et al. ∙

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...

0 Matthew B. A. McDermott, et al. ∙

research

∙ 06/22/2020

COVID-19 Image Data Collection: Prospective Predictions Are the Future

Across the world's coronavirus disease 2019 (COVID-19) hot spots, the ne...

11 Joseph Paul Cohen, et al. ∙

research

∙ 06/20/2020

Counterfactually Guided Policy Transfer in Clinical Settings

Reliably transferring treatment policies learned in one clinical environ...

0 Taylor W. Killian, et al. ∙

research

∙ 05/24/2020

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

The need to streamline patient management for COVID-19 has become more p...

0 Joseph Paul Cohen, et al. ∙

research

∙ 03/11/2020

Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

In this work, we examine the extent to which embeddings may encode margi...

0 Haoran Zhang, et al. ∙

research

∙ 02/14/2020

CheXclusion: Fairness gaps in deep chest X-ray classifiers

Machine learning systems have received much attention recently for their...

0 Laleh Seyyed-Kalantari, et al. ∙

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 ...

0 Bret Nestor, et al. ∙

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...

0 Shirly Wang, et al. ∙

research

∙ 07/02/2019

Reproducibility in Machine Learning for Health

Machine learning algorithms designed to characterize, monitor, and inter...

16 Matthew B. A. McDermott, et al. ∙

research

∙ 04/04/2019

Clinically Accurate Chest X-Ray Report Generation

The automatic generation of radiology reports given medical radiographs ...

0 Guanxiong Liu, et al. ∙

research

∙ 11/30/2018

Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation

Machine learning for healthcare often trains models on de-identified dat...

0 Bret Nestor, et al. ∙

research

∙ 11/29/2018

The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech

Speech datasets for identifying Alzheimer's disease (AD) are generally r...

0 Aparna Balagopalan, et al. ∙

research

∙ 11/17/2018

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018

This volume represents the accepted submissions from the Machine Learnin...

0 Natalia Antropova, et al. ∙

research

∙ 10/13/2018

ClinicalVis: Supporting Clinical Task-Focused Design Evaluation

Making decisions about what clinical tasks to prepare for is multi-facto...

0 Marzyeh Ghassemi, et al. ∙

research

∙ 08/11/2018

Racial Disparities and Mistrust in End-of-Life Care

There are established racial disparities in healthcare, including during...

0 Willie Boag, et al. ∙

Marzyeh Ghassemi

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