Valerie Chen | DeepAI

DeepAI AI Chat

Featured Co-authors

Adrian Weller
101 publications
Zhiwei Steven Wu
90 publications
Anh Nguyen
80 publications
Ameet Talwalkar
59 publications
Nihar B. Shah
47 publications
Q Vera Liao
41 publications
Jennifer Wortman Vaughan
32 publications
Umang Bhatt
31 publications
Pedro Bizarro
30 publications
Pedro Saleiro
24 publications
Hoda Heidari
24 publications

∙ 08/25/2023

AdvisingNets: Learning to Distinguish Correct and Wrong Classifications via Nearest-Neighbor Explanations

Besides providing insights into how an image classifier makes its predic...

0 Giang Nguyen, et al. ∙

∙ 07/28/2023

FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines

Even though machine learning (ML) pipelines affect an increasing array o...

0 Matthew Barker, et al. ∙

∙ 04/13/2023

Learning Personalized Decision Support Policies

Individual human decision-makers may benefit from different forms of sup...

0 Umang Bhatt, et al. ∙

∙ 02/16/2023

Assisting Human Decisions in Document Matching

Many practical applications, ranging from paper-reviewer assignment in p...

0 Joon Sik Kim, et al. ∙

∙ 02/15/2023

A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies

When conducting user studies to ascertain the usefulness of model explan...

0 Ada Martin, et al. ∙

∙ 01/18/2023

Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations

AI explanations are often mentioned as a way to improve human-AI decisio...

0 Valerie Chen, et al. ∙

∙ 06/24/2022

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods

Machine Learning (ML) models now inform a wide range of human decisions,...

13 Kasun Amarasinghe, et al. ∙

∙ 06/05/2022

Use-Case-Grounded Simulations for Explanation Evaluation

A growing body of research runs human subject evaluations to study wheth...

0 Valerie Chen, et al. ∙

∙ 05/13/2022

Perspectives on Incorporating Expert Feedback into Model Updates

Machine learning (ML) practitioners are increasingly tasked with develop...

0 Valerie Chen, et al. ∙

∙ 12/12/2021

Bayesian Persuasion for Algorithmic Recourse

When subjected to automated decision-making, decision subjects may strat...

0 Keegan Harris, et al. ∙

∙ 03/10/2021

Towards Connecting Use Cases and Methods in Interpretable Machine Learning

Despite increasing interest in the field of Interpretable Machine Learni...

0 Valerie Chen, et al. ∙

∙ 06/09/2019

Novelty Detection via Network Saliency in Visual-based Deep Learning

Machine-learning driven safety-critical autonomous systems, such as self...

0 Valerie Chen, et al. ∙

∙ 01/02/2019

Secure Computation for Machine Learning With SPDZ

Secure Multi-Party Computation (MPC) is an area of cryptography that ena...

0 Valerie Chen, et al. ∙

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