59 citations · 112 across the 7 of their papers we have counts for
7 papers
STAG: Structural Test-time Alignment of Gradients for Online Adaptation
Juhyeon Shin, Yujin Oh, Jonghyun Lee +5
Test-Time Adaptation (TTA) adapts pre-trained models using only unlabeled test streams, requiring real-time inference and update without access to source data. We propose Structura…
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation
Heeseung Kim, Soonshin Seo, Kyeongseok Jeong +9
Recent work shows promising results in expanding the capabilities of large language models (LLM) to directly understand and synthesize speech. However, an LLM-based strategy for mo…
Security and Privacy Issues in Deep Learning
Ho Bae, Jaehee Jang, Dahuin Jung +4
To promote secure and private artificial intelligence (SPAI), we review studies on the model security and data privacy of DNNs. Model security allows system to behave as intended w…
Deep Trustworthy Knowledge Tracing
Heonseok Ha, Uiwon Hwang, Yongjun Hong +2
Knowledge tracing (KT), a key component of an intelligent tutoring system, is a machine learning technique that estimates the mastery level of a student based on his/her past perfo…
Domain Adaptation Using Adversarial Learning for Autonomous Navigation
Jaeyoon Yoo, Yongjun Hong, YungKyun Noh +1
Autonomous navigation has become an increasingly popular machine learning application. Recent advances in deep learning have also resulted in great improvements to autonomous navig…
Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data
Uiwon Hwang, Sungwoon Choi, Han-Byoel Lee +1
Electronic health records (EHRs) have contributed to the computerization of patient records and can thus be used not only for efficient and systematic medical services, but also fo…