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06/07/2023
Art and the science of generative AI: A deeper dive
A new class of tools, colloquially called generative AI, can produce hig...
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03/10/2023
Overcoming Bias in Pretrained Models by Manipulating the Finetuning Dataset
Transfer learning is beneficial by allowing the expressive features of m...
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01/05/2023
Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset
Current dataset collection methods typically scrape large amounts of dat...
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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...
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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...
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12/06/2021
HIVE: Evaluating the Human Interpretability of Visual Explanations
As machine learning is increasingly applied to high-impact, high-risk do...
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08/19/2019
Human uncertainty makes classification more robust
The classification performance of deep neural networks has begun to asym...
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07/25/2016
Much Ado About Time: Exhaustive Annotation of Temporal Data
Large-scale annotated datasets allow AI systems to learn from and build ...
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09/01/2014
