Haebeom Lee - RankMe

26 papers A* 10A 1Journal 15

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