Kailas Vodrahalli | DeepAI

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Ke Li
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Vidya Muthukumar
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Anant Sahai
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∙ 06/13/2023

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations

As generative AI becomes more prevalent, it is important to study how hu...

0 Kailas Vodrahalli, et al. ∙

∙ 09/12/2022

Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality

Telemedicine utilization was accelerated during the COVID-19 pandemic, a...

9 Kailas Vodrahalli, et al. ∙

∙ 03/15/2022

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set

Access to dermatological care is a major issue, with an estimated 3 bill...

6 Roxana Daneshjou, et al. ∙

∙ 02/12/2022

Uncalibrated Models Can Improve Human-AI Collaboration

In many practical applications of AI, an AI model is used as a decision ...

0 Kailas Vodrahalli, et al. ∙

∙ 11/15/2021

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images

More than 3 billion people lack access to care for skin disease. AI diag...

10 Roxana Daneshjou, et al. ∙

∙ 07/14/2021

Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions

In many applications of AI, the algorithm's output is framed as a sugges...

14 Kailas Vodrahalli, et al. ∙

∙ 06/18/2021

Adversarial Training Helps Transfer Learning via Better Representations

Transfer learning aims to leverage models pre-trained on source data to ...

0 Zhun Deng, et al. ∙

∙ 11/26/2020

Better Knowledge Retention through Metric Learning

In continual learning, new categories may be introduced over time, and a...

4 Ke Li, et al. ∙

∙ 10/01/2020

TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos

Telehealth is an increasingly critical component of the health care ecos...

47 Kailas Vodrahalli, et al. ∙

∙ 10/21/2019

Learning to Communicate in a Noisy Environment

In this work we examine the problem of learning to cooperate in the cont...

0 Anant Sahai, et al. ∙

∙ 03/21/2019

Harmless interpolation of noisy data in regression

A continuing mystery in understanding the empirical success of deep neur...

0 Vidya Muthukumar, et al. ∙

∙ 11/30/2018

Are All Training Examples Created Equal? An Empirical Study

Modern computer vision algorithms often rely on very large training data...

0 Kailas Vodrahalli, et al. ∙

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