Taehyeon Kim
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Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
T Kim*, J Oh*, NY Kim, S Cho, SY Yun
IJCAI 2021, 2021
FINE Samples for Learning with Noisy Labels
T Kim*, J Ko*, J Choi, S Cho, SY Yun
NeurIPS 2021, 2021
A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search
S Cha, T Kim, H Lee, SY Yun
arXiv preprint arXiv:2204.03916, 2022
Accurate and fast federated learning via combinatorial multi-armed bandits
T Kim*, S Bae*, J Lee, S Yun
arXiv, 2020
Revisiting orthogonality regularization: a study for convolutional neural networks in image classification
T Kim, SY Yun
IEEE Access 10, 69741-69749, 2022
Efficient Model for Image Classification With Regularization Tricks
T Kim, J Kim, S Yun
NeurIPS 2019 Competition and Demonstration Track (PMLR 123), 2020
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition
T Kim, S Kang, H Shin, D Yoon, S Eom, K Shin, SY Yun
NeurIPS 2022 Workshop: Weather4Cast Competition, 2022
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search
T Kim, H Myeong, SY Yun
ICML 2022 Workshop: Hardware Aware Efficient Training (HAET), 2022
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables
T Kim*, J Ahn*, N Kim*, S Yun
NeurIPS 2020 Workshop at Competition Track: Black-Box Optimization Challenge, 2020
Layover Intermediate Layer for Multi-Label Classification in Efficient Transfer Learning
S Eom, T Kim, SY Yun
NeurIPS 2022 Workshop: Has it Trained Yet?, 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction
T Kim*, N Ho*, D Kim, SY Yun
arXiv, 2022
Supernet Training for Federated Image Classification under System Heterogeneity
T Kim, SY Yun
ICML 2022 Workshop: Dynamic Neural Networks (Oral), 2022
Trust-region aware neural network architecture search for knowledge distillation
T Kim, H Myeong
US Patent App. 17/986,803, 2023
Revisiting the Activation Function for Federated Image Classification
J Shin, T Kim, SY Yun
NeurIPS 2022 Workshop: Federated Learning, 2022
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts
A Gruca, F Serva, L Lliso, P Rípodas, X Calbet, P Herruzo, J Pihrt, ...
NeurIPS 2022 Competition Track, 292-313, 2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
J Ahn, T Kim, S Yun
arXiv, 2022
The Unified Framework for Efficient Deep Learning Computer Vision Model
S Park, J Oh, T Kim, SY Yun
KCC, 540-542, 2021
Orthogonal feature regularization
T Kim
Thesis: Korea Advanced Institute of Science and Technology (KAIST), 2020
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