| 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 | 138 | 2019 |
| 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 | 110 | 2018 |
| Meta-learned confidence for few-shot learning SM Kye, HB Lee, H Kim, SJ Hwang arXiv preprint, 2020 | 65* | 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 | 63 | 2020 |
| Meta dropout: Learning to perturb latent features for generalization HB Lee, T Nam, E Yang, SJ Hwang ICLR 2020, 2019 | 63 | 2019 |
| Deep asymmetric multi-task feature learning HB Lee, E Yang, SJ Hwang ICML 2018, 2018 | 62 | 2018 |
| 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 | 59 | 2020 |
| Dataset condensation with latent space knowledge factorization and sharing HB Lee, DB Lee, SJ Hwang arXiv preprint arXiv:2208.10494, 2022 | 41 | 2022 |
| DropMax: Adaptive variational softmax HB Lee, J Lee, S Kim, E Yang, SJ Hwang NeurIPS 2018, 2017 | 20 | 2017 |
| Large-Scale Meta-Learning with Continual Trajectory Shifting J Shin*, HB Lee*, B Gong, SJ Hwang ICML 2021, 2021 | 18 | 2021 |
| Adaptive network sparsification via dependent variational beta-bernoulli dropout J Lee, S Kim, J Yoon, HB Lee, E Yang, SJ Hwang arXiv preprint, 2018 | 17 | 2018 |
| Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning S Lee*, HB Lee*, J Lee, SJ Hwang ICLR 2022, 2021 | 15 | 2021 |
| Meta mirror descent: Optimiser learning for fast convergence B Gao, H Gouk, HB Lee, TM Hospedales arXiv preprint arXiv:2203.02711, 2022 | 8 | 2022 |
| MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures J Ryu*, J Shin*, HB Lee*, SJ Hwang NeurIPS 2020, 2020 | 8 | 2020 |
| Online Hyperparameter Meta-Learning with Hypergradient Distillation HB Lee, H Lee, J Shin, E Yang, T Hospedales, SJ Hwang ICLR 2022, 2021 | 7 | 2021 |
| 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, ... ICLR 2024, 2023 | 5 | 2023 |
| Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty JR Willette, HB Lee, J Lee, SJ Hwang ICLR 2022, 2021 | 2 | 2021 |
| Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation DB Lee, AS Zhang, B Kim, J Park, J Lee, SJ Hwang, HB Lee AutoML 2024 Workshop, 2024 | | 2024 |