| 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 | 1052* | 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 | 157 | 2021 |
| "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 | 105 | 2023 |
| 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 | 86 | 2022 |
| Deformable Style Transfer SSY Kim, N Kolkin, J Salavon, G Shakhnarovich European Conference on Computer Vision (ECCV), 2020 | 61 | 2020 |
| 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 | 36 | 2023 |
| 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 | 29 | 2021 |
| 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 | 19 | 2022 |
| 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 | 17 | 2023 |
| "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 | 11 | 2024 |
| 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 | 8 | 2022 |
| 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 | 3 | 2024 |
| 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 | 2 | 2019 |
| 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 | 1 | 2023 |
| Cleaning and structuring the label space of the iMet collection 2020 V Nguyen, SSY Kim CVPR 2021 Fine-Grained Visual Categorization Workshop, 2021 | 1 | 2021 |
| [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 | 1 | 2021 |
| 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 |
| 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 | | |
Olga RussakovskyAssociate Professor, Princeton UniversityVerified email at cs.princeton.edu
