3 papers
cs.LG2024
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching
Sujin Kook, Won-Yong Shin, Seong-Lyun Kim +1
The vision of pervasive artificial intelligence (AI) services can be realized by training an AI model on time using real-time data collected by internet of things (IoT) devices. To…
cs.IR2023
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
Yungi Kim, Taeri Kim, Won-Yong Shin +1
In this paper, we focus on multimedia recommender systems using graph convolutional networks (GCNs) where the multimodal features as well as user-item interactions are employed tog…
cs.LG2022
DATa: Domain Adaptation-Aided Deep Table Detection Using Visual-Lexical Representations
Hyebin Kwon, Joungbin An, Dongwoo Lee +1
Considerable research attention has been paid to table detection by developing not only rule-based approaches reliant on hand-crafted heuristics but also deep learning approaches.…