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Sunnie S. Y. Kim
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Year
Environmental performance index
ZA Wendling, JW Emerson, A de Sherbinin, DC Esty, K Hoving, ...
New Haven, CT: Yale Center for Environmental Law And Policy. epi. yale. edu, 2018
1034*2018
Fair Attribute Classification through Latent Space De-biasing
VV Ramaswamy, SSY Kim, O Russakovsky
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
1452021
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
SSY Kim, EA Watkins, O Russakovsky, R Fong, A Monroy-Hernández
🏅 ACM CHI Conference on Human Factors in Computing Systems (CHI), 2023
912023
HIVE: Evaluating the Human Interpretability of Visual Explanations
SSY Kim, N Meister, VV Ramaswamy, R Fong, O Russakovsky
European Conference on Computer Vision (ECCV), 2022
812022
Deformable Style Transfer
SSY Kim, N Kolkin, J Salavon, G Shakhnarovich
European Conference on Computer Vision (ECCV), 2020
602020
Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability
VV Ramaswamy, SSY Kim, R Fong, O Russakovsky
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
312023
Information-Theoretic Segmentation by Inpainting Error Maximization
P Savarese, SSY Kim, M Maire, G Shakhnarovich, D McAllester
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
262021
Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons
B Zhou, Z Li, SSY Kim, J Lafferty, DA Clark
Elife 11, e72067, 2022
192022
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application
SSY Kim, EA Watkins, O Russakovsky, R Fong, A Monroy-Hernández
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023
162023
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
SSY Kim, QV Liao, M Vorvoreanu, S Ballard, JW Vaughan
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2024
82024
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features
VV Ramaswamy, SSY Kim, N Meister, R Fong, O Russakovsky
CVPR 2022 Explainable AI for Computer Vision Workshop, 2022
72022
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy
G Nguyen, MR Taesiri, SSY Kim, A Nguyen
CVPR 2024 Explainable AI for Computer Vision Workshop, 2024
22024
Which grades are better, A’s and C’s, or all B’s? Effects of variability in grades on mock college admissions decisions
W Ahn, SSY Kim, K Kim, PK McNally
Judgment and Decision Making 14 (6), 696-710, 2019
22019
Cleaning and structuring the label space of the iMet collection 2020
V Nguyen, SSY Kim
CVPR 2021 Fine-Grained Visual Categorization Workshop, 2021
12021
WiCV@ CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference
D Antensteiner, M Halawa, A Aslam, I Sheth, S Herath, Z Huang, SSY Kim, ...
arXiv preprint arXiv:2309.12768, 2023
2023
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs
VV Ramaswamy, SSY Kim, R Fong, O Russakovsky
arXiv preprint arXiv:2303.15632, 2023
2023
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
SSY Kim, S Zhang, N Meister, O Russakovsky
ReScience C 7 (2), #8, 2021
2021
Closing the Creator-Consumer Gap in XAI: A Call for Participatory XAI Design with End-users
SSY Kim, EA Watkins, O Russakovsky, R Fong, A Monroy-Hernández
NeurIPS 2022 Human-Centered AI Workshop, 0
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Articles 1–18