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Lee, Dong Bok
11 publications
ICML
2025
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
Dongwoo Lee
,
Dong Bok Lee
,
Steven Adriaensen
,
Juho Lee
,
Sung Ju Hwang
,
Frank Hutter
,
Seon Joo Kim
,
Hae Beom Lee
NeurIPS
2025
Cost-Sensitive Freeze-Thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee
,
Aoxuan Silvia Zhang
,
Byungjoo Kim
,
Junhyeon Park
,
Steven Adriaensen
,
Juho Lee
,
Sung Ju Hwang
,
Hae Beom Lee
ICLR
2025
Dimension Agnostic Neural Processes
Hyungi Lee
,
Chaeyun Jang
,
Dong Bok Lee
,
Juho Lee
NeurIPS
2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
Seanie Lee
,
Sangwoo Park
,
Dong Bok Lee
,
Dominik Wagner
,
Haebin Seong
,
Tobias Bocklet
,
Juho Lee
,
Sung Ju Hwang
ICLR
2025
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
Seanie Lee
,
Haebin Seong
,
Dong Bok Lee
,
Minki Kang
,
Xiaoyin Chen
,
Dominik Wagner
,
Yoshua Bengio
,
Juho Lee
,
Sung Ju Hwang
ICLR
2024
Self-Supervised Dataset Distillation for Transfer Learning
Dong Bok Lee
,
Seanie Lee
,
Joonho Ko
,
Kenji Kawaguchi
,
Juho Lee
,
Sung Ju Hwang
ICLR
2023
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
Dong Bok Lee
,
Seanie Lee
,
Kenji Kawaguchi
,
Yunji Kim
,
Jihwan Bang
,
Jung-Woo Ha
,
Sung Ju Hwang
ICLR
2021
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
Seanie Lee
,
Dong Bok Lee
,
Sung Ju Hwang
ICLR
2021
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
Dong Bok Lee
,
Dongchan Min
,
Seanie Lee
,
Sung Ju Hwang
ICML
2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Dongchan Min
,
Dong Bok Lee
,
Eunho Yang
,
Sung Ju Hwang
NeurIPS
2020
Learning to Extrapolate Knowledge: Transductive Few-Shot Out-of-Graph Link Prediction
Jinheon Baek
,
Dong Bok Lee
,
Sung Ju Hwang