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Hyeong Kyu Choi
Hyeong Kyu Choi
Подтвержден адрес электронной почты в домене wisc.edu - Главная страница
Название
Процитировано
Процитировано
Год
Stock price correlation coefficient prediction with ARIMA-LSTM hybrid model
HK Choi
arXiv preprint arXiv:1808.01560, 2018
732018
Tokenmixup: Efficient attention-guided token-level data augmentation for transformers
HK Choi, J Choi, HJ Kim
Advances in Neural Information Processing Systems 35, 14224-14235, 2022
272022
Consistency learning via decoding path augmentation for transformers in human object interaction detection
J Park, SJ Lee, H Heo, HK Choi, HJ Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
242022
Meltr: Meta loss transformer for learning to fine-tune video foundation models
D Ko, J Choi, HK Choi, KW On, B Roh, HJ Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
Relation-aware language-graph transformer for question answering
J Park, HK Choi, J Ko, H Park, JH Kim, J Jeong, K Kim, H Kim
Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13457 …, 2023
62023
Recurrent DETR: Transformer-based Object Detection for Crowded Scenes
HK Choi, CK Paik, HW Ko, MC Park, HJ Kim
IEEE Access, 2023
22023
Beyond Helpfulness and Harmlessness: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
HK Choi, Y Li
arXiv preprint arXiv:2405.02501, 2024
12024
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
HK Choi, S Lee, J Chu, HJ Kim
Advances in Neural Information Processing Systems, 2023
12023
Enhancing Transformers in Computer Vision with Token-level Data Augmentation and Recurrent Decoding
HK Choi
Korea University, 2023
2023
Economic Data Augmentation with Variational Autoencoder
HK Choi, R Kim, J Kang
Korea Computer Congress, 1608-1610, 2020
2020
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
HK Choi, Y Li
Forty-first International Conference on Machine Learning, 0
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models (Supplementary Materials)
D Ko, J Choi, HK Choi, KW On, B Roh, HJ Kim
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