Sunnie S. Y. Kim

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Human Perceptual

Human Intelligence

Top Venues

CHI Extended Abstracts

Publications

Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Sunnie S. Y. Kim, Niels van Berkel, Andreas Riener, Mark O. Riedl
Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs). CHI Extended Abstracts (2024)
Giang Nguyen, Mohammad Reza Taesiri, Sunnie S. Y. Kim, Anh Nguyen
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy. CoRR (2024)
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. FAccT (2024)
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. CoRR (2024)
Sunnie S. Y. Kim
Establishing Appropriate Trust in AI through Transparency and Explainability. CHI Extended Abstracts (2024)
Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. CHI (2023)
Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application. FAccT (2023)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs. CoRR (2023)
Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application. CoRR (2023)
Doris Antensteiner, Marah Halawa, Asra Aslam, Ivaxi Sheth, Sachini Herath, Ziqi Huang, Sunnie S. Y. Kim, Aparna Akula, Xin Wang
WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference. CoRR (2023)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability. CVPR (2023)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Nicole Meister, Ruth Fong, Olga Russakovsky
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features. CoRR (2022)
Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy-Hernández
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction. CoRR (2022)
Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
HIVE: Evaluating the Human Interpretability of Visual Explanations. ECCV (12) (2022)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability. CoRR (2022)
Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
Information-Theoretic Segmentation by Inpainting Error Maximization. CVPR (2021)
Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CoRR (2021)
Vivien Nguyen, Sunnie S. Y. Kim
Cleaning and Structuring the Label Space of the iMet Collection 2020. CoRR (2021)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky
Fair Attribute Classification Through Latent Space De-Biasing. CVPR (2021)
Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
HIVE: Evaluating the Human Interpretability of Visual Explanations. CoRR (2021)
Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester
Information-Theoretic Segmentation by Inpainting Error Maximization. CoRR (2020)
Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
Deformable Style Transfer. ECCV (26) (2020)
Sunnie S. Y. Kim, Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich
Deformable Style Transfer. CoRR (2020)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky
Fair Attribute Classification through Latent Space De-biasing. CoRR (2020)