jaehong31
Postdoctoral research associate, University of North Carolina at Chapel Hill; Ph.D., Korea Advanced Institute of Science and Technology (KAIST)
University of North Carolina at Chapel HillChapel Hill, NC
Pinned Repositories
APD
"Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020
bayes-nn
Lecture notes on Bayesian deep learning
CGES
Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017
DEN
Lifelong Learning with Dynamically Expandable Networks, ICLR 2018
get_requirements
jaehong31.github.io
mobilenetv2_tutorial_2022
OCS
Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022
ProWD
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization (ICML 2022)
RACCooN
(arXiv.2405.18406) RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives
jaehong31's Repositories
jaehong31/DEN
Lifelong Learning with Dynamically Expandable Networks, ICLR 2018
jaehong31/CGES
Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017
jaehong31/RACCooN
(arXiv.2405.18406) RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives
jaehong31/APD
"Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020
jaehong31/OCS
Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022
jaehong31/ProWD
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization (ICML 2022)
jaehong31/bayes-nn
Lecture notes on Bayesian deep learning
jaehong31/get_requirements
jaehong31/jaehong31.github.io
jaehong31/mobilenetv2_tutorial_2022
jaehong31/tensorflow_cnn_tutorial
CSE480. Deep learning Class
jaehong31/UCL
Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)