| Bilinear Attention Networks JH Kim, J Jun, BT Zhang Advances in Neural Information Processing Systems 31 (NeurIPS), 1571-1581, 2018 | 967 | 2018 |
| Hadamard Product for Low-rank Bilinear Pooling JH Kim, KW On, W Lim, J Kim, JW Ha, BT Zhang The 5th International Conference on Learning Representations (ICLR), 2017 | 841 | 2017 |
| Overcoming Catastrophic Forgetting by Incremental Moment Matching SW Lee, JH Kim, J Jun, JW Ha, BT Zhang Advances in Neural Information Processing Systems 30 (NIPS), 4653-4663, 2017 | 672 | 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 29 (NIPS), 361-369, 2016 | 374 | 2016 |
| CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication JH Kim*, N Kitaev*, X Chen, M Rohrbach, BT Zhang, Y Tian, D Batra, ... The 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2019 | 94* | 2019 |
| Multimodal Dual Attention Memory for Video Story Question Answering K Kim, SH Choi, JH Kim, BT Zhang European Conference on Computer Vision (ECCV), 2018 | 91 | 2018 |
| Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation J Seo, W Jang, MS Kwak, J Ko, H Kim, J Kim, JH Kim*, J Lee*, S Kim* The Twelfth International Conference on Learning Representations (ICLR), 2024 | 86 | 2024 |
| rnn: Recurrent Library for Torch N Léonard, S Waghmare, Y Wang, JH Kim arXiv preprint arXiv:1511.07889, 2015 | 52 | 2015 |
| Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation JH Kim, DH Kim, S Yi, T Lee arXiv preprint:arXiv:2105.14737, 2021 | 43 | 2021 |
| Dense Text-to-Image Generation with Attention Modulation Y Kim, J Lee, JH Kim, JW Ha, JY Zhu IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 41 | 2023 |
| Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty J Oh, S Kim, N Ho, JH Kim, H Song*, SY Yun* Advances in Neural Information Processing Systems 35 (NeurIPS), 2022 | 30 | 2022 |
| AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models SJ Kwon, J Kim, J Bae, KM Yoo, JH Kim, B Park, B Kim, JW Ha, N Sung, ... Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2022 | 26 | 2022 |
| SelecMix: Debiased Learning by Contradicting-pair Sampling I Hwang, S Lee, SJ Kwak, Yunhyeok, Oh, D Teney, JH Kim*, BT Zhang* Advances in Neural Information Processing Systems 35 (NeurIPS), 2022 | 17 | 2022 |
| Query-Efficient Black-Box Red Teaming via Bayesian Optimization D Lee, JY Lee, JW Ha, JH Kim, SW Lee, H Lee, HO Song The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023 | 16 | 2023 |
| Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer GC Kang, J Park, H Lee, BT Zhang*, JH Kim* Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2021 | 16* | 2021 |
| Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT J Ahn, H Lee, JH Kim, A Oh NAACL 2022 4th Workshop on Gender Bias for Natural Language Processing, 2022 | 15 | 2022 |
| Vision-Language Generative Model for View-Specific Chest X-ray Generation H Lee, DY Lee, W Kim, JH Kim, T Kim, J Kim, L Sunwoo, E Choi Conference on Health, Inference, and Learning (CHIL), 2024 | 14* | 2024 |
| Mutual Information Divergence: A Unified Metric for Multimodal Generative Models JH Kim, Y Kim, J Lee, KM Yoo, SW Lee Advances in Neural Information Processing Systems 35 (NeurIPS), 2022 | 14 | 2022 |
| The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training GC Kang, S Kim*, JH Kim*, D Kwak*, BT Zhang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 12 | 2023 |
| Robust Camera Pose Refinement for Multi-Resolution Hash Encoding H Heo, T Kim, J Lee, J Lee, S Kim, HJ Kim*, JH Kim* Proceedings of the Fortieth International Conference on Machine Learning (ICML), 2023 | 10 | 2023 |
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National University在 bi.snu.ac.kr 的电子邮件经过验证
