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Jaehong Yoon
Jaehong Yoon
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
7432018
Combined Group and Exclusive Sparsity for Deep Neural Networks
J Yoon, SJ Hwang
International Conference on Machine Learning (ICML), 2017, 2017
1432017
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
932020
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
712019
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
352021
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
132018
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
22022
Personalized Subgraph Federated Learning
J Baek, W Jeong, J Jin, J Yoon, SJ Hwang
arXiv preprint arXiv:2206.10206, 2022
22022
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
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
J Yoon*, G Park*, W Jeong, SJ Hwang
International Conference on Machine Learning (ICML), 2022, 2022
12022
Electronic apparatus and method for re-learning trained model
S Hwang, Y Jaehong, LEE Jeongtae, Y Eunho
US Patent App. 16/002,617, 2018
12018
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
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