2 citations · 2 across the 1 of their papers we have counts for
5 papers
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
Minchan Kwon, Gaeun Kim, Jongsuk Kim +2
Finding appropriate prompts for the specific task has become an important issue as the usage of Large Language Models (LLM) has expanded. Reinforcement Learning (RL) is widely used…
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
Haeil Lee, Hansang Lee, Seoyeon Gye +1
Generative diffusion models have emerged as a powerful tool for high-quality image synthesis, yet their iterative nature demands significant computational resources. This paper pro…
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification
Hansang Lee, Haeil Lee, Helen Hong
In this paper, we propose a novel data augmentation technique called GenMix, which combines generative and mixture approaches to leverage the strengths of both methods. While gener…
Inspecting Explainability of Transformer Models with Additional Statistical Information
Hoang C. Nguyen, Haeil Lee, Junmo Kim
Transformer becomes more popular in the vision domain in recent years so there is a need for finding an effective way to interpret the Transformer model by visualizing it. In recen…
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation
JuYoung Yang, Chanho Lee, Pyunghwan Ahn +3
Following considerable development in 3D scanning technologies, many studies have recently been proposed with various approaches for 3D vision tasks, including some methods that ut…