113 citations · 117 across the 4 of their papers we have counts for
4 papers
Continual Learning Based on OOD Detection and Task Masking
Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao +1
Existing continual learning techniques focus on either task incremental learning (TIL) or class incremental learning (CIL) problem, but not both. CIL and TIL differ mainly in that…
Open-set Recognition via Augmentation-based Similarity Learning
Sepideh Esmaeilpour, Lei Shu, Bing Liu
The primary assumption of conventional supervised learning or classification is that the test samples are drawn from the same distribution as the training samples, which is called…
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP
Sepideh Esmaeilpour, Bing Liu, Eric Robertson +1
In an out-of-distribution (OOD) detection problem, samples of known classes(also called in-distribution classes) are used to train a special classifier. In testing, the classifier…
Building an Application Independent Natural Language Interface
Sahisnu Mazumder, Bing Liu, Shuai Wang +1
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 transl…