Sunnie S. Y. Kim | DeepAI

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Featured Co-authors

Olga Russakovsky
46 publications
Andrés Monroy-Hernández
27 publications
Michael Maire
24 publications
Greg Shakhnarovich
23 publications
Gregory Shakhnarovich
22 publications
Ruth Fong
20 publications
David McAllester
15 publications
Pedro Savarese
10 publications
Nicholas Kolkin
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Vikram V. Ramaswamy
8 publications
Nicole Meister
6 publications

∙ 05/15/2023

Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application

Trust is an important factor in people's interactions with AI systems. H...

0 Sunnie S. Y. Kim, et al. ∙

∙ 03/27/2023

UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs

Concept-based explanations for convolutional neural networks (CNNs) aim ...

0 Vikram V. Ramaswamy, et al. ∙

∙ 10/02/2022

"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction

Despite the proliferation of explainable AI (XAI) methods, little is und...

11 Sunnie S. Y. Kim, et al. ∙

∙ 07/20/2022

Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability

Concept-based interpretability methods aim to explain deep neural networ...

43 Vikram V. Ramaswamy, et al. ∙

∙ 06/15/2022

ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features

Deep learning models have achieved remarkable success in different areas...

27 Vikram V. Ramaswamy, et al. ∙

∙ 12/06/2021

HIVE: Evaluating the Human Interpretability of Visual Explanations

As machine learning is increasingly applied to high-impact, high-risk do...

6 Sunnie S. Y. Kim, et al. ∙

∙ 06/01/2021

Cleaning and Structuring the Label Space of the iMet Collection 2020

The iMet 2020 dataset is a valuable resource in the space of fine-graine...

30 Vivien Nguyen, et al. ∙

∙ 04/28/2021

[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

Singh et al. (2020) point out the dangers of contextual bias in visual r...

12 Sunnie S. Y. Kim, et al. ∙

∙ 12/14/2020

Information-Theoretic Segmentation by Inpainting Error Maximization

We study image segmentation from an information-theoretic perspective, p...

23 Pedro Savarese, et al. ∙

∙ 12/02/2020

Fair Attribute Classification through Latent Space De-biasing

Fairness in visual recognition is becoming a prominent and critical topi...

3 Vikram V. Ramaswamy, et al. ∙

∙ 03/24/2020

Deformable Style Transfer

Both geometry and texture are fundamental aspects of visual style. Exist...

26 Sunnie S. Y. Kim, et al. ∙

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