Haebeom Lee

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 26

Top Topics

Inference Process

Top Venues

Publications

Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. ICLR (2022)
Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR (2022)
Boyan Gao, Henry Gouk, Haebeom Lee, Timothy M. Hospedales
Meta Mirror Descent: Optimiser Learning for Fast Convergence. CoRR (2022)
Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang
Large-Scale Meta-Learning with Continual Trajectory Shifting. CoRR (2021)
Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. CoRR (2021)
Jeffrey Ryan Willette, Haebeom Lee, Juho Lee, Sung Ju Hwang
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty. CoRR (2021)
Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang
Large-Scale Meta-Learning with Continual Trajectory Shifting. ICML (2021)
Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR (2021)
Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. CoRR (2020)
Seong-Jin Park, Seungju Han, Ji-Won Baek, Insoo Kim, Juhwan Song, Haebeom Lee, Jae-Joon Han, Sung Ju Hwang
Meta Variance Transfer: Learning to Augment from the Others. ICML (2020)
Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR (2020)
Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. INTERSPEECH (2020)
Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang
Meta Dropout: Learning to Perturb Latent Features for Generalization. ICLR (2020)
Seong Min Kye, Haebeom Lee, Hoirin Kim, Sung Ju Hwang
Transductive Few-shot Learning with Meta-Learned Confidence. CoRR (2020)
Jeongun Ryu, Jaewoong Shin, Haebeom Lee, Sung Ju Hwang
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures. NeurIPS (2020)
Jeongun Ryu, Jaewoong Shin, Haebeom Lee, Sung Ju Hwang
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures. CoRR (2020)
Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang
Meta Dropout: Learning to Perturb Features for Generalization. CoRR (2019)
Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR (2019)
Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang
Learning to Generalize to Unseen Tasks with Bilevel Optimization. CoRR (2019)
Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR (2018)
Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang
DropMax: Adaptive Variational Softmax. NeurIPS (2018)
Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR (2018)
Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS (2018)
Haebeom Lee, Eunho Yang, Sung Ju Hwang
Deep Asymmetric Multi-task Feature Learning. ICML (2018)
Haebeom Lee, Eunho Yang, Sung Ju Hwang
Deep Asymmetric Multi-task Feature Learning. CoRR (2017)
Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang
DropMax: Adaptive Stochastic Softmax. CoRR (2017)