Hyunjung Shim

Collaborative Distillation for Top-N Recommendation

2019

Knowledge distillation (KD) is a well-known method to reduce inference latency by compressing a cumbersome teacher model to a small student model. Despite the success of KD in the classification task, applying KD to recommender …

Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification

2025

Multi-label classification is crucial for comprehensive image understanding, yet acquiring accurate annotations is challenging and costly. To address this, a recent study suggests exploiting unsupervised multi-label classification leveraging CLIP, a powerful vision-language model. Despite CLIP’s …