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