| 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 | 2508 | 2018 |
| Dual attention networks for multimodal reasoning and matching H Nam, JW Ha, J Kim CVPR 2017, 2017 | 580 | 2017 |
| Hadamard product for low-rank bilinear pooling JH Kim, KW On, J Kim, JW Ha, BT Zhang ICLR 2017, 2017 | 573 | 2017 |
| 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 | 493 | 2020 |
| Overcoming Catastrophic Forgetting by Incremental Moment Matching SW Lee, JW Kim, JH Jeon, JW Ha, BT Zhang NIPS 2017, 2017 | 407 | 2017 |
| 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 | 285 | 2016 |
| Photorealistic Style Transfer via Wavelet Transforms J Yoo, Y Uh, S Chun, B Kang, JW Ha arXiv preprint arXiv:1903.09760 (ICCV 2019), 2019 | 155 | 2019 |
| 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 | 152 | 2019 |
| DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder X Gu, K Cho, JW Ha, S Kim arXiv:1805.12352 (ICLR 2019), 2019 | 113 | 2019 |
| 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 | 72 | 2018 |
| 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 | 68* | 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 | 59 | 2018 |
| 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 | 55 | 2016 |
| 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 | 54 | 2017 |
| 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 | 49 | 2017 |
| 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 | 48 | 2007 |
| 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 | 41 | 2015 |
| Sparse Population Code Models of Word Learning in Concept Drift. BT Zhang, JW Ha, M Kang CogSci 2012, 2012 | 40 | 2012 |
| 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 | 36 | 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 | 30 | 2021 |
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National UniversityVerified email at bi.snu.ac.kr
