Introduction

I’m a Ph.D. student at Machine Learning and Artificial Intelligence (MLAI) Lab in Korea Advanced Institute of Science and Technology (KAIST), under the supervision of Prof. Sung Ju Hwang. I finished the B.S. degree at UNIST in 2016 and the M.S. degree at UNIST in 2018 under the supervision of Prof. Sung Ju Hwang.

My research interests focus on:

Lifelong-able (Online) Continual Learning
On-device Federated Learning
Neural Architecture Search
Un/Semi-supervised Learning
Scalable/Efficient Deep Neural Network Models and Algorithms
Biologically Plausible Neural Networks

Publications/Preprints

Federated Semi-supervised Learning with Inter-client Consistency

Wonyong Jeong, Jaehong Yoon, Eunho Yang, and Sung Ju Hwang
ICML 2020 Workshop in Federated Learning (Long Presentation), (Best Student Paper Award)

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition

Jaehong Yoon, Saehoon Kim, Eunho Yang, and Sung Ju Hwang
ICLR 2020

Lifelong Learning with Dynamically Expandable Networks

Jaehong Yoon, Eunho Yang, Jeongtae Lee, and Sung Ju Hwang
ICLR 2018

Combined Group and Exclusive Sparsity for Deep Neural Networks

Jaehong Yoon and Sung Ju Hwang
ICML 2017

Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout

Juho Lee, Saehoon Kim, Jaehong Yoon, Hae Beom Lee, Eunho Yang, and Sung Ju Hwang
arXiv:1805.10896, May 2018

Federated Continual Learning with Weighted Inter-client Transfer

Jaehong Yoon*, Wonyong Jeong*, Giwoong Lee, Eunho Yang, and Sung Ju Hwang
ICML 2020 Workshop in Lifelong Machine Learning (*: equal contribution)

Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning

Minyoung Song, Jaehong Yoon, Eunho Yang, and Sung Ju Hwang
arXiv:2006.12130, June 2020

Federated Semi-supervised Learning with Inter-Client Consistency & Disjoint Learning

Wonyong Jeong, Jaehong Yoon, Eunho Yang, and Sung Ju Hwang
ICLR 2021

Online Coreset Selection for Rehearsal-based Continual Learning

Jaehong Yoon, Divyam Madaan, Eunho Yang, and Sung Ju Hwang
Under Review, 2021

Federated Continual Learning with Weighted Inter-client Transfer

Jaehong Yoon*, Wonyong Jeong*, Giwoong Lee, Eunho Yang, and Sung Ju Hwang
ICML 2021 (*: equal contribution)

Introduction

Publications/Preprints

Federated Semi-supervised Learning with Inter-client Consistency

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition

Lifelong Learning with Dynamically Expandable Networks

Combined Group and Exclusive Sparsity for Deep Neural Networks

Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout

Federated Continual Learning with Weighted Inter-client Transfer

Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning

Federated Semi-supervised Learning with Inter-Client Consistency & Disjoint Learning

Online Coreset Selection for Rehearsal-based Continual Learning

Federated Continual Learning with Weighted Inter-client Transfer

Invited Talks

"Lifelong Learning with Dynamically Expandable Networks"

"Combined Group and Exclusive Sparsity for Deep Neural Networks"