Följ
Jung-Woo Ha
Jung-Woo Ha
Head@NAVER AI Lab, Co-Director@SNU-NAVER Hyperscale / KAIST-NAVER Hypercreative AI Centers
Verifierad e-postadress på navercorp.com - Startsida
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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
26192018
Hadamard product for low-rank bilinear pooling
JH Kim, KW On, J Kim, JW Ha, BT Zhang
ICLR 2017, 2017
5922017
Dual attention networks for multimodal reasoning and matching
H Nam, JW Ha, J Kim
CVPR 2017, 2017
5892017
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
5752020
Overcoming Catastrophic Forgetting by Incremental Moment Matching
SW Lee, JW Kim, JH Jeon, JW Ha, BT Zhang
NIPS 2017, 2017
4252017
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
2862016
Photorealistic Style Transfer via Wavelet Transforms
J Yoo, Y Uh, S Chun, B Kang, JW Ha
arXiv preprint arXiv:1903.09760 (ICCV 2019), 2019
1642019
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
1562019
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
X Gu, K Cho, JW Ha, S Kim
arXiv:1805.12352 (ICLR 2019), 2019
1202019
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
782018
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
75*2021
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
622018
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
572017
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
552016
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
502017
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
482007
Automated construction of visual-linguistic knowledge via concept learning from cartoon videos
JW Ha, KM Kim, BT Zhang
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
412015
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
402021
Sparse Population Code Models of Word Learning in Concept Drift.
BT Zhang, JW Ha, M Kang
CogSci 2012, 2012
402012
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
362021
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Artiklar 1–20