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Jung-Woo Ha
Jung-Woo Ha
Head@NAVER AI Lab, Co-Director@SNU-NAVER Hyperscale / KAIST-NAVER Hypercreative AI Centers
Verified email at navercorp.com - Homepage
Title
Cited by
Cited by
Year
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Y Choi, M Choi, M Kim, JW Ha, S Kim, J Choo
CVPR 2018, 2018
32622018
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Y Choi, Y Uh, J Yoo, JW Ha
Proceedings of the IEEE/CVF Conferences on Computer Vision and Pattern …, 2020
9702020
Hadamard product for low-rank bilinear pooling
JH Kim, KW On, J Kim, JW Ha, BT Zhang
ICLR 2017, 2017
6832017
Dual attention networks for multimodal reasoning and matching
H Nam, JW Ha, J Kim
CVPR 2017, 2017
6722017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
SW Lee, JW Kim, JH Jeon, JW Ha, BT Zhang
NIPS 2017, 2017
5032017
Multimodal residual learning for visual qa
JH Kim, SW Lee, D Kwak, MO Heo, J Kim, JW Ha, BT Zhang
Advances in Neural Information Processing Systems, 361-369, 2016
3132016
Photorealistic Style Transfer via Wavelet Transforms
J Yoo, Y Uh, S Chun, B Kang, JW Ha
arXiv preprint arXiv:1903.09760 (ICCV 2019), 2019
2532019
Phase-Aware Speech Enhancement with Deep Complex U-Net
HS Choi, J Kim, J Huh, A Kim, JW Ha, K Lee
ICLR 2019 (to appear), 2019
2342019
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
X Gu, K Cho, JW Ha, S Kim
arXiv:1805.12352 (ICLR 2019), 2019
1392019
KLUE: Korean Language Understanding Evaluation
S Park, J Moon, S Kim, WI Cho, J Han, J Park, C Song, J Kim, Y Song, ...
arxiv preprinting arXiv:2105.09680 (NeurIPS 2021 Dataset and Benchmark Track), 2021
1122021
AdamP: Slowing down the weight norm increase in momentum-based optimizers
B Heo, S Chun, SJ Oh, D Han, S Yun, Y Uh, JW Ha
arXiv preprint arXiv:2006.08217 (ICLR 2021), 2021
106*2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
J Bang, H Kim, YJ Yoo, JW Ha, J Choi
arXiv preprint arXiv:2103.17230 (CVPR 2021), 2021
982021
Nsml: Meet the mlaas platform with a real-world case study
H Kim, M Kim, D Seo, J Kim, H Park, S Park, H Jo, KH Kim, Y Yang, Y Kim, ...
arXiv preprint arXiv:1810.09957, 2018
882018
Reinforcement learning based recommender system using biclustering technique
S Choi, H Ha, U Hwang, C Kim, JW Ha, S Yoon
arXiv preprint arXiv:1801.05532, 2018
662018
NSML: A Machine Learning Platform That Enables You to Focus on Your Models
N Sung, M Kim, H Jo, Y Yang, J Kim, L Lausen, Y Kim, G Lee, D Kwak, ...
arXiv:1712.05902, https://arxiv.org/abs/1712.05902, 2017
652017
Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks
JW Ha, H Pyo, J Kim
the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2016 …, 2016
592016
Representation Learning of Music Using Artist Labels
J Park, J Lee, J Park, JW Ha, J Nam
arXiv preprint arXiv:1710.06648, ISMIR 2018(to appear), 2017
562017
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
S Yu, J Tack, S Mo, H Kim, J Kim, JW Ha, J Shin
International Conference on Learning Representations (ICLR 2022), 2022
472022
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
B Kim, HS Kim, SW Lee, G Lee, D Kwak, DH Jeon, S Park, S Kim, S Kim, ...
arXiv preprint arXiv:2109.04650 (EMNLP 2021), 2021
472021
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
JW Ha, JH Eom, SC Kim, BT Zhang
Proceedings of the 9th annual conference companion on Genetic and …, 2007
472007
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Articles 1–20