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04/15/2023
The Design Space of Generative Models
Card et al.'s classic paper "The Design Space of Input Devices" establis...
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03/22/2023
A Word is Worth a Thousand Pictures: Prompts as AI Design Material
Recent advances in Machine-Learning have led to the development of model...
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03/22/2023
The Prompt Artists
This paper examines the art practices, artwork, and motivations of proli...
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03/13/2022
PromptChainer: Chaining Large Language Model Prompts through Visual Programming
While LLMs can effectively help prototype single ML functionalities, man...
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01/26/2022
IMACS: Image Model Attribution Comparison Summaries
Developing a suitable Deep Neural Network (DNN) often requires significa...
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10/04/2021
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
Although large language models (LLMs) have demonstrated impressive poten...
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08/16/2021
Program Synthesis with Large Language Models
This paper explores the limits of the current generation of large langua...
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06/17/2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
Integrated Gradients (IG) is a commonly used feature attribution method ...
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06/06/2019
Segment Integrated Gradients: Better attributions through regions
Saliency methods can aid understanding of deep neural networks. Recent y...
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02/08/2019
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making
Machine learning (ML) is increasingly being used in image retrieval syst...
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01/30/2019
Similar Image Search for Histopathology: SMILY
The increasing availability of large institutional and public histopatho...
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01/16/2019
TensorFlow.js: Machine Learning for the Web and Beyond
TensorFlow.js is a library for building and executing machine learning a...
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11/28/2016
