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Jaehong Yoon
Jaehong Yoon
Ph.D. student, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Lifelong Learning with Dynamically Expandable Networks
J Yoon, E Yang, J Lee, SJ Hwang
International Conference on Learning Representations (ICLR), 2018, 2018
6282018
Combined group and exclusive sparsity for deep neural networks
J Yoon, SJ Hwang
International Conference on Machine Learning (ICML), 2017, 2017
1342017
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
672020
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
54*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
38*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
132018
Online coreset selection for rehearsal-based continual learning
J Yoon, D Madaan, E Yang, SJ Hwang
International Conference on Learning Representations (ICLR), 2022, 2021
122021
Representational Continuity for Unsupervised Continual Learning
D Madaan, J Yoon, Y Li, Y Liu, SJ Hwang
International Conference on Learning Representations (ICLR), 2022, 2021
10*2021
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
22020
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
G Park, J Yoon, H Zhang, X Zhang, SJ Hwang, YC Eldar
arXiv preprint arXiv:2207.01394, 2022
2022
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
2022
Personalized Subgraph Federated Learning
J Baek, W Jeong, J Jin, J Yoon, SJ Hwang
arXiv preprint arXiv:2206.10206, 2022
2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
J Yoon, G Park, W Jeong, SJ Hwang
International Conference on Machine Learning (ICML), 2022, 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
Electronic apparatus and method for re-learning trained model
S Hwang, Y Jaehong, LEE Jeongtae, Y Eunho
US Patent App. 16/002,617, 2018
2018
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