DropMax: Adaptive Stochastic Softmax. - Haebeom Lee; Juho Lee 001; Eunho Yang; Sung Ju Hwang (CoRR, 2017)

Deep Asymmetric Multi-task Feature Learning. - Haebeom Lee; Eunho Yang; Sung Ju Hwang (ICML, 2018)

Uncertainty-Aware Attention for Reliable Interpretation and Prediction. - Jay Heo; Haebeom Lee; Saehoon Kim; Juho Lee 001; Kwang Joon Kim; Eunho Yang; Sung Ju Hwang (NeurIPS, 2018)

DropMax: Adaptive Variational Softmax. - Haebeom Lee; Juho Lee 001; Saehoon Kim; Eunho Yang; Sung Ju Hwang (NeurIPS, 2018)

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. - Juho Lee 001; Saehoon Kim; Jaehong Yoon; Haebeom Lee; Eunho Yang; Sung Ju Hwang (CoRR, 2018)

Meta Dropout: Learning to Perturb Features for Generalization. - Haebeom Lee; Taewook Nam; Eunho Yang; Sung Ju Hwang (CoRR, 2019)

Learning to Generalize to Unseen Tasks with Bilevel Optimization. - Hayeon Lee; Donghyun Na; Haebeom Lee; Sung Ju Hwang (CoRR, 2019)

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. - Haebeom Lee; Hayeon Lee; Donghyun Na; Saehoon Kim; Minseop Park; Eunho Yang; Sung Ju Hwang (ICLR, 2020)

Meta Dropout: Learning to Perturb Latent Features for Generalization. - Haebeom Lee; Taewook Nam; Eunho Yang; Sung Ju Hwang (ICLR, 2020)

Meta Variance Transfer: Learning to Augment from the Others. - Seong-Jin Park; Seungju Han 001; Ji-Won Baek; Insoo Kim; Juhwan Song; Haebeom Lee; Jae-Joon Han; Sung Ju Hwang (ICML, 2020)

Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. - Seong Min Kye; Youngmoon Jung; Haebeom Lee; Sung Ju Hwang; Hoirin Kim (INTERSPEECH, 2020)

MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures. - Jeongun Ryu; Jaewoong Shin; Haebeom Lee; Sung Ju Hwang (NeurIPS, 2020)

Transductive Few-shot Learning with Meta-Learned Confidence. - Seong Min Kye; Haebeom Lee; Hoirin Kim; Sung Ju Hwang (CoRR, 2020)

Large-Scale Meta-Learning with Continual Trajectory Shifting. - Jaewoong Shin; Haebeom Lee; Boqing Gong; Sung Ju Hwang (ICML, 2021)

Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty. - Jeffrey Ryan Willette; Haebeom Lee; Juho Lee 001; Sung Ju Hwang (CoRR, 2021)

Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. - Seanie Lee; Haebeom Lee; Juho Lee 001; Sung Ju Hwang (ICLR, 2022)

Online Hyperparameter Meta-Learning with Hypergradient Distillation. - Haebeom Lee; Hayeon Lee; Jaewoong Shin; Eunho Yang; Timothy M. Hospedales; Sung Ju Hwang (ICLR, 2022)

Meta Mirror Descent: Optimiser Learning for Fast Convergence. - Boyan Gao; Henry Gouk; Haebeom Lee; Timothy M. Hospedales (CoRR, 2022)