no code implementations • 14 Feb 2024 • Minho Lee, Junghyun Min, Woochul Lee, Yeonsoo Lee
Previous work in structured prediction (e. g. NER, information extraction) using single model make use of explicit dataset information, which helps boost in-distribution performance but is orthogonal to robust generalization in real-world situations.
no code implementations • 13 Feb 2024 • Junghyun Min, Minho Lee, Woochul Lee, Yeonsoo Lee
Unsupervised learning objectives like language modeling and de-noising constitute a significant part in producing pre-trained models that perform various downstream applications from natural language understanding to conversational tasks.
1 code implementation • CVPR 2022 • Myeongho Jeon, Daekyung Kim, Woochul Lee, Myungjoo Kang, Joonseok Lee
Although convolutional neural networks (CNNs) achieve state-of-the-art in image classification, recent works address their unreliable predictions due to their excessive dependence on biased training data.
no code implementations • 9 Oct 2020 • Keondo Park, Wonyoung Jang, Woochul Lee, Kisung Nam, Kihong Seong, Kyuwook Chai, Wen-Syan Li
After the COVID-19 outbreak, it has become important to automatically detect whether people are wearing masks in order to reduce risk of front-line workers.