| Lifelong Learning with Dynamically Expandable Networks J Yoon, E Yang, J Lee, SJ Hwang International Conference on Learning Representations (ICLR), 2018, 2018 | 743 | 2018 |
| Combined Group and Exclusive Sparsity for Deep Neural Networks J Yoon, SJ Hwang International Conference on Machine Learning (ICML), 2017, 2017 | 143 | 2017 |
| Federated Semi-supervised Learning with Inter-client Consistency & Disjoint Learning W Jeong, J Yoon, E Yang, SJ Hwang International Conference on Learning Representations (ICLR), 2021, 2020 | 93 | 2020 |
| Scalable and Order-robust Continual Learning with Additive Parameter Decomposition J Yoon, S Kim, E Yang, SJ Hwang International Conference on Learning Representations (ICLR), 2020, 2019 | 71 | 2019 |
| Federated Continual Learning with Weighted Inter-client Transfer J Yoon*, W Jeong*, G Lee, E Yang, SJ Hwang International Conference on Machine Learning (ICML), 2021, 2021 | 60* | 2021 |
| Online Coreset Selection for Rehearsal-based Continual Learning J Yoon, D Madaan, E Yang, SJ Hwang International Conference on Learning Representations (ICLR), 2022, 2021 | 35 | 2021 |
| Representational Continuity for Unsupervised Continual Learning D Madaan, J Yoon, Y Li, Y Liu, SJ Hwang International Conference on Learning Representations (ICLR), 2022, 2021 | 23* | 2021 |
| Adaptive network sparsification with dependent variational beta-bernoulli dropout J Lee, S Kim, J Yoon, HB Lee, E Yang, SJ Hwang arXiv preprint arXiv:1805.10896, 2018 | 13 | 2018 |
| Forget-free Continual Learning with Winning Subnetworks H Kang, RJL Mina, SRH Madjid, J Yoon, M Hasegawa-Johnson, ... International Conference on Machine Learning (ICML), 2022, 2022 | 2 | 2022 |
| Personalized Subgraph Federated Learning J Baek, W Jeong, J Jin, J Yoon, SJ Hwang arXiv preprint arXiv:2206.10206, 2022 | 2 | 2022 |
| Rapid structural pruning of neural networks with set-based task-adaptive meta-pruning M Song, J Yoon, E Yang, SJ Hwang arXiv preprint arXiv:2006.12139, 2020 | 2 | 2020 |
| Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization J Yoon*, G Park*, W Jeong, SJ Hwang International Conference on Machine Learning (ICML), 2022, 2022 | 1 | 2022 |
| Electronic apparatus and method for re-learning trained model S Hwang, Y Jaehong, LEE Jeongtae, Y Eunho US Patent App. 16/002,617, 2018 | 1 | 2018 |
| Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection S Hwang*, J Yoon*, Y Lee, SJ Hwang arXiv preprint arXiv:2211.10636, 2022 | | 2022 |
| On the Soft-Subnetwork for Few-shot Class Incremental Learning H Kang, J Yoon, SRH Madjid, SJ Hwang, CD Yoo International Conference on Learning Representations (ICLR), 2023, 2022 | | 2022 |
| BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation G Park*, J Yoon*, H Zhang, X Zhang, SJ Hwang, YC Eldar ECCV 2022 Workshop on Computational Aspects of Deep Learning (CADL), 2022 | | 2022 |
| Method and apparatus with neural network and training SJ Hwang, S Kim, Y Eunho, Y Jaehong US Patent App. 17/145,876, 2021 | | 2021 |
| Continual Pre-trainer is an Incremental Model Generalizer J Yoon, SJ Hwang, Y Cao | | |
Sung Ju HwangKAIST, AITRICSVerified email at kaist.ac.kr
