3 papers
cs.CV2026
Near OOD Detection for Vision-Language Prompt Learning with Contrastive Logit Score
Myong Chol Jung, Joanna Dipnall, Belinda Gabbe +1
Prompt learning has emerged as an efficient and effective method for fine-tuning vision-language models such as CLIP. While many studies have explored generalisation abilities of t…
cs.LG2025
Navigating Conflicting Views: Harnessing Trust for Learning
Jueqing Lu, Wray Buntine, Yuanyuan Qi +3
Resolving conflicts is critical for improving the reliability of multi-view classification. While prior work focuses on learning consistent and informative representations across v…
cs.IR2025
Generalized Contrastive Learning for Multi-Modal Retrieval and Ranking
Tianyu Zhu, Myong Chol Jung, Jesse Clark
Contrastive learning has gained widespread adoption for retrieval tasks due to its minimal requirement for manual annotations. However, popular training frameworks typically learn…