4 papers
Training-Free Restoration of Pruned Neural Networks
Keonho Lee, Minsoo Kim, Dong-Wan Choi
Although network pruning has been highly popularized to compress deep neural networks, its resulting accuracy heavily depends on a fine-tuning process that is often computationally…
Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences
Gwangseok Han, Wonbin Kweon, Minsoo Kim +1
Diversity control is an important task to alleviate bias amplification and filter bubble problems. The desired degree of diversity may fluctuate based on users' daily moods or busi…
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
Myeonghwa Lee, Seonho An, Min-Soo Kim
In this paper, we conduct a study to utilize LLMs as a solution for decision making that requires complex data analysis. We define Decision QA as the task of answering the best dec…
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning
Eunkyu Oh, Taehun Kim, Minsoo Kim +2
Session-based recommendations aim to predict the next behavior of users based on ongoing sessions. The previous works have been modeling the session as a variable-length of a seque…