Card et al.'s classic paper "The Design Space of Input Devices" establis...
Recent advances in Machine-Learning have led to the development of model...
This paper examines the art practices, artwork, and motivations of proli...
While LLMs can effectively help prototype single ML functionalities, man...
Developing a suitable Deep Neural Network (DNN) often requires significa...
Although large language models (LLMs) have demonstrated impressive poten...
This paper explores the limits of the current generation of large langua...
Integrated Gradients (IG) is a commonly used feature attribution method ...
Saliency methods can aid understanding of deep neural networks. Recent y...
Machine learning (ML) is increasingly being used in image retrieval syst...
The increasing availability of large institutional and public histopatho...
TensorFlow.js is a library for building and executing machine learning
a...
Developers of text-to-speech synthesizers (TTS) often make use of human
...