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Hae Beom Lee
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Year
Learning to balance: Bayesian meta-learning for imbalanced and out-of-distribution tasks
HB Lee*, H Lee*, D Na*, S Kim, M Park, E Yang, SJ Hwang
ICLR 2020, 2019
1222019
Uncertainty-aware attention for reliable interpretation and prediction
J Heo*, HB Lee*, S Kim, J Lee, KJ Kim, E Yang, SJ Hwang
NeurIPS 2018, 2018
992018
Meta dropout: Learning to perturb latent features for generalization
HB Lee, T Nam, E Yang, SJ Hwang
ICLR 2020, 2019
622019
Deep asymmetric multi-task feature learning
HB Lee, E Yang, SJ Hwang
ICML 2018, 2018
602018
Meta-learned confidence for few-shot learning
SM Kye, HB Lee, H Kim, SJ Hwang
arXiv preprint, 2020
56*2020
Meta-learning for short utterance speaker recognition with imbalance length pairs
SM Kye, Y Jung, HB Lee, SJ Hwang, H Kim
Interspeech 2020, 2020
542020
Meta variance transfer: Learning to augment from the others
SJ Park, S Han, J Baek, I Kim, J Song, HB Lee, JJ Han, SJ Hwang
ICML 2020, 2020
512020
Dataset condensation with latent space knowledge factorization and sharing
HB Lee, DB Lee, SJ Hwang
arXiv preprint arXiv:2208.10494, 2022
232022
DropMax: Adaptive variational softmax
HB Lee, J Lee, S Kim, E Yang, SJ Hwang
NeurIPS 2018, 2017
18*2017
Adaptive network sparsification via dependent variational beta-bernoulli dropout
J Lee, S Kim, J Yoon, HB Lee, E Yang, SJ Hwang
arXiv preprint, 2018
162018
Large-Scale Meta-Learning with Continual Trajectory Shifting
J Shin*, HB Lee*, B Gong, SJ Hwang
ICML 2021, 2021
152021
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
S Lee*, HB Lee*, J Lee, SJ Hwang
ICLR 2022, 2021
102021
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
J Ryu*, J Shin*, HB Lee*, SJ Hwang
NeurIPS 2020, 2020
72020
Meta mirror descent: Optimiser learning for fast convergence
B Gao, H Gouk, HB Lee, TM Hospedales
arXiv preprint arXiv:2203.02711, 2022
52022
Online Hyperparameter Meta-Learning with Hypergradient Distillation
HB Lee, H Lee, J Shin, E Yang, T Hospedales, SJ Hwang
ICLR 2022, 2021
52021
Delta-AI: Local objectives for amortized inference in sparse graphical models
JP Falet, HB Lee, N Malkin, C Sun, D Secrieru, D Zhang, G Lajoie, ...
arXiv preprint arXiv:2310.02423, 2023
12023
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty
JR Willette, HB Lee, J Lee, SJ Hwang
ICLR 2022, 2021
12021
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Articles 1–17