3 papers
cs.AI2025
EPLKG: Efficient Prompt Learning with Knowledge Graph
YongTaek Lim, Suho Kang, Yewon Kim +2
Large-scale pre-trained models such as CLIP excel in transferability and robust generalization across diverse datasets. However, adapting these models to new datasets or domains is…
cs.LG2025
Sufficient Invariant Learning for Distribution Shift
Taero Kim, Subeen Park, Sungjun Lim +3
Learning robust models under distribution shifts between training and test datasets is a fundamental challenge in machine learning. While learning invariant features across environ…
cs.LG2025
Graph Perceiver IO: A General Architecture for Graph Structured Data
Seyun Bae, Hoyoon Byun, Changdae Oh +2
Multimodal machine learning has been widely studied for the development of general intelligence. Recently, the Perceiver and Perceiver IO, show competitive results for diverse data…