no code implementations • 28 Jul 2021 • Siddharth Divi, Yi-Shan Lin, Habiba Farrukh, Z. Berkay Celik
In this setting, the non-IID distribution of the data across clients restricts the global FL model from delivering good performance on the local data of each client.
no code implementations • 22 Sep 2020 • Yi-Shan Lin, Wen-Chuan Lee, Z. Berkay Celik
EXplainable AI (XAI) methods have been proposed to interpret how a deep neural network predicts inputs through model saliency explanations that highlight the parts of the inputs deemed important to arrive a decision at a specific target.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
no code implementations • 1 Aug 2019 • Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert
We present a novel interactive learning framework to improve the classification process in which the user iteratively corrects the relevancy of tweets in real-time to train the classification model on-the-fly for immediate predictive improvements.