Haeil Lee

According to our database, Haeil Lee authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models.

Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim

CoRR, 2024

Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis.

Haeil Lee, Hansang Lee, Seoyeon Gye, Junmo Kim

CoRR, 2024

GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification.

Hansang Lee, Haeil Lee, Helen Hong

CoRR, 2024

StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model.

Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Inspecting Explainability of Transformer Models with Additional Statistical Information.

Hoang C. Nguyen, Haeil Lee, Junmo Kim

CoRR, 2023

DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation.

Haeil Lee, Hansang Lee, Junmo Kim

CoRR, 2023

Reinforcement Learning-Based Black-Box Model Inversion Attacks.

Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification.

Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim

CoRR, 2022

Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning.

Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

2021

Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning.

JuYoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation.

JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2017

Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches.

Haeil Lee, Hansang Lee, Minseok Park, Junmo Kim

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017