Harini Suresh | DeepAI

DeepAI AI Chat

Featured Co-authors

Andrea Montanari
78 publications
Jacob Eisenstein
54 publications
Marzyeh Ghassemi
54 publications
Neil Houlsby
44 publications
Mario Lucic
40 publications
Peter Szolovits
38 publications
Xuezhi Wang
35 publications
John Guttag
34 publications
Xiaohua Zhai
33 publications
Arvind Satyanarayan
27 publications
Hendrik Strobelt
27 publications

∙ 06/27/2022

Improved Text Classification via Test-Time Augmentation

Test-time augmentation – the aggregation of predictions across transform...

23 Helen Lu, et al. ∙

∙ 06/07/2022

Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods

Saliency methods calculate how important each input feature is to a mach...

17 Angie Boggust, et al. ∙

∙ 02/17/2021

Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs

Interpretability methods aim to help users build trust in and understand...

10 Harini Suresh, et al. ∙

∙ 01/24/2021

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

To ensure accountability and mitigate harm, it is critical that diverse ...

0 Harini Suresh, et al. ∙

∙ 11/06/2020

Underspecification Presents Challenges for Credibility in Modern Machine Learning

ML models often exhibit unexpectedly poor behavior when they are deploye...

30 Alexander D'Amour, et al. ∙

∙ 05/22/2020

Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making

ML decision-aid systems are increasingly common on the web, but their su...

0 Harini Suresh, et al. ∙

∙ 11/30/2019

Image segmentation of liver stage malaria infection with spatial uncertainty sampling

Global eradication of malaria depends on the development of drugs effect...

11 Ava P. Soleimany, et al. ∙

∙ 01/28/2019

A Framework for Understanding Unintended Consequences of Machine Learning

As machine learning increasingly affects people and society, it is impor...

4 Harini Suresh, et al. ∙

∙ 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. ∙

∙ 06/30/2018

Modeling Mistrust in End-of-Life Care

In this work, we characterize the doctor-patient relationship using a ma...

0 Willie Boag, et al. ∙

∙ 06/07/2018

Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU

Machine learning approaches have been effective in predicting adverse ou...

0 Harini Suresh, et al. ∙

∙ 12/16/2015

Feature Representation for ICU Mortality

Good predictors of ICU Mortality have the potential to identify high-ris...

0 Harini Suresh, et al. ∙

∙ 01/12/2015

Autodetection and Classification of Hidden Cultural City Districts from Yelp Reviews

Topic models are a way to discover underlying themes in an otherwise uns...

0 Harini Suresh, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world