no code implementations • 24 Mar 2022 • Sepideh Esmaeilpour, Lei Shu, Bing Liu
In many practical scenarios, this is not the case because there are unknowns or unseen class samples in the test data, which is called the open set scenario, and the unknowns need to be detected.
1 code implementation • 17 Mar 2022 • Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
Existing continual learning techniques focus on either task incremental learning (TIL) or class incremental learning (CIL) problem, but not both.
no code implementations • 29 Sep 2021 • Gyuhak Kim, Sepideh Esmaeilpour, Zixuan Ke, Tatsuya Konishi, Bing Liu
PLS is not only simple and efficient but also does not invade data privacy due to the fact that it works in the latent feature space.
1 code implementation • 6 Sep 2021 • Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu
In an out-of-distribution (OOD) detection problem, samples of known classes(also called in-distribution classes) are used to train a special classifier.
Out-of-Distribution Detection Out of Distribution (OOD) Detection +2
no code implementations • 30 Oct 2019 • Sahisnu Mazumder, Bing Liu, Shuai Wang, Sepideh Esmaeilpour
Traditional approaches to building natural language (NL) interfaces typically use a semantic parser to parse the user command and convert it to a logical form, which is then translated to an executable action in an application.