2 papers
cs.AI2025
LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
Hyunsik Jeon, Satoshi Koide, Yu Wang +2
Conversational recommender systems engage users in dialogues to refine their needs and provide more personalized suggestions. Although textual information suffices for many domains…
cs.LG2025
One-Shot Domain Incremental Learning
Yasushi Esaki, Satoshi Koide, Takuro Kutsuna
Domain incremental learning (DIL) has been discussed in previous studies on deep neural network models for classification. In DIL, we assume that samples on new domains are observe…