| Multimodal residual learning for visual qa JH Kim, SW Lee, DH Kwak, MO Heo, J Kim, JW Ha, BT Zhang Advances In Neural Information Processing Systems 29 (NIPS), 361-369, 2016 | 389 | 2016 |
| 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, 2021 | 122 | 2021 |
| 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, ... NIPS 2017 LearningSys Workshop Poster, 2017 | 86 | 2017 |
| Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors. SW Lee, CY Lee, DH Kwak, J Kim, J Kim, BT Zhang IJCAI, 1669-1675, 2016 | 57 | 2016 |
| Keep me updated! memory management in long-term conversations S Bae, D Kwak, S Kang, MY Lee, S Kim, Y Jeong, H Kim, SW Lee, W Park, ... arXiv preprint arXiv:2210.08750, 2022 | 56 | 2022 |
| Integration of pre-trained networks with continuous token interface for end-to-end spoken language understanding S Seo, D Kwak, B Lee ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 42 | 2022 |
| Building a role specified open-domain dialogue system leveraging large-scale language models S Bae, D Kwak, S Kim, D Ham, S Kang, SW Lee, W Park arXiv preprint arXiv:2205.00176, 2022 | 41 | 2022 |
| Speech to text adaptation: Towards an efficient cross-modal distillation WI Cho, D Kwak, J Yoon, NS Kim Interspeech 2020, 896-900, 2020 | 28 | 2020 |
| Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation KM Kim, D Kwak, H Kwak, ... arXiv preprint arXiv:1908.02569, 2019 | 25* | 2019 |
| Operation method for activation of home robot device and home robot device supporting the same SH Lee, DH Kwak, ES Kim, JS Kim, KW On, BT Zhang, KS Roh, SJ Yoon US Patent 10,786,895, 2020 | 19 | 2020 |
| The dialog must go on: Improving visual dialog via generative self-training GC Kang, S Kim, JH Kim, D Kwak, BT Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 16 | 2023 |
| Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors SW Lee, CY Lee, DH Kwak, JW Ha, J Kim, BT Zhang Neural Networks 92, 17-28, 2017 | 15 | 2017 |
| Enzymatic weight update algorithm for DNA-based molecular learning C Baek, SW Lee, BJ Lee, DH Kwak, BT Zhang Molecules 24 (7), 1409, 2019 | 8 | 2019 |
| Activity recognition by learning auditory-visual lifelogs from wearable sensors C Lee, DH Kwak, H Kwak, BT Zhang KIISE 2015 Korea computer Congress, 921-923, 2015 | 4 | 2015 |
| Micro-objective learning: Accelerating deep reinforcement learning through the discovery of continuous subgoals S Lee, SW Lee, J Choi, DH Kwak, BT Zhang arXiv preprint arXiv:1703.03933, 2017 | 3 | 2017 |
| 웨어러블 센서를 이용한 사건인지 기반 일상 활동 예측 이충연， 곽동현， 이범진， 장병탁 정보과학회논문지 43 (7), 781-785, 2016 | 2 | 2016 |
| Event cognition-based daily activity prediction using wearable sensors CY Lee, DH Kwak, BJ Lee, BT Zhang Journal of KIISE 43 (7), 781-785, 2016 | 2 | 2016 |
| Generative Self-training Improves Pre-training for Visual Dialog GC Kang, S Kim, JH Kim, D Kwak, BT Zhang First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 1 | 2022 |
| 모방적 강화학습: 시연과 보상으로부터의 학습: 시연과 보상으로부터의 학습 곽동현， 이상우， 이성태， 장병탁 한국정보과학회 학술발표논문집, 666-668, 2016 | 1 | 2016 |
| 웨어러블 센싱 음향-영상 라이프로그 학습 기반 사용자 활동 인식 이충연， 곽동현， 곽하녹， 장병탁 한국정보과학회 학술발표논문집, 921-923, 2015 | 1 | 2015 |
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National Universityبريد إلكتروني تم التحقق منه على bi.snu.ac.kr
