Taehyeon Kim
/
Publications Details
/
Publications: Conference and Journal
Search
Share
Publications: Conference and Journal
Default view
Search
Title
Conference and Journal
Author
Keyword
Specification
Link
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction
Open
Arxiv
1st author
Precipitation Nowcasting
Benchmark Dataset
Under Review
https://arxiv.org/abs/2206.15241
Supernet Training for Federated Image Classification under System Heterogeneity
Open
Workshop
ICML2022
1st author
Federated Learning
AutoML
Image Classification
Architecture Search
International
Top-tier
Oral
Under Review
https://arxiv.org/abs/2206.01366
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search
Open
Workshop
ICML2022
1st author
Architecture Search
Bayesian Optimization
Knowledge Distillation
Orthogonality Regularization
International
Top-tier
Under Review
https://arxiv.org/abs/2206.13130
Revisiting the Activation Function for Federated Image Classification
Open
Workshop
NeurIPS2022
Co-author
Federated Learning
International
Top-tier
https://openreview.net/forum?id=KGvSg8D5-fY
Revisiting Kernel Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification
Open
IEEE Access
1st author
Orthogonality Regularization
International
Journal
https://ieeexplore.ieee.org/document/9804718
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Open
Arxiv
Co-author
Hyperparameter Optimization
Graph Neural Network
Working In Progress
https://arxiv.org/abs/2202.00893
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits.
Open
Arxiv
Technical Report
1st author
Federated Learning
Hyperparameter Optimization
Technical Report
https://arxiv.org/abs/2012.03270https://arxiv.org/abs/2012.03270
FINE Samples for Learning with Noisy Labels
Open
NeurIPS2021
1st author
Noisy Label Classification
Image Classification
SVD
International
Top-tier
https://openreview.net/forum?id=QZpx42n0BWr
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Open
IJCAI2021
1st author
Knowledge Distillation
Noisy Label Classification
Image Classification
International
Top-tier
https://www.ijcai.org/proceedings/2021/0362.pdf
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables
Open
Competition
NeurIPS2020
1st author
AutoML
Hyperparameter Optimization
Bayesian Optimization
Multi-armed Bandit
International
8th rank
https://arxiv.org/abs/2012.03501
Efficient Model for Image Classification With Regularization Tricks
Open
PMLR
Competition
NeurIPS2019
1st author
Orthogonality Regularization
Architecture Search
Augmentation
Model Compression
Image Classification
International
Top-tier
2nd rank
http://proceedings.mlr.press/v123/kim20a
Orthogonal feature regularization : a novel approach for training robust models, Korea Advanced Institute of Science and Technology
Open
Master Thesis
KAIST
1st author
Adversarial Attack
Orthogonality Regularization
Image Classification
Thesis
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition
Open
Competition
NeurIPS2022
1st author
Precipitation Nowcasting
Segmentation
International
Top-tier
4th rank
https://arxiv.org/abs/2212.02059
Layover Intermediate Layer for Multi-Label Classification in Efficient Transfer Learning
Open
Workshop
NeurIPS2022
Co-author
Multi-Label Classification
Efficient
Transfer Learning
International
Top-tier
https://openreview.net/forum?id=mbOHmKLxBH