Haebeom Lee

According to our database¹, Haebeom Lee authored at least 19 papers between 2017 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

2017

2018

2019

2020

2021

2022

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2022

Meta Mirror Descent: Optimiser Learning for Fast Convergence.

[BibT_eX]

[DOI]

Boyan Gao

Henry Gouk

Haebeom Lee

Timothy M. Hospedales

CoRR, 2022

Online Hyperparameter Meta-Learning with Hypergradient Distillation.

[BibT_eX]

[DOI]

Timothy M. Hospedales

Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty.

[BibT_eX]

[DOI]

Jeffrey Ryan Willette

Haebeom Lee

Juho Lee

Sung Ju Hwang

CoRR, 2021

Large-Scale Meta-Learning with Continual Trajectory Shifting.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Transductive Few-shot Learning with Meta-Learned Confidence.

[BibT_eX]

[DOI]

CoRR, 2020

MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Meta Variance Transfer: Learning to Augment from the Others.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Meta Dropout: Learning to Perturb Latent Features for Generalization.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning to Generalize to Unseen Tasks with Bilevel Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.

[BibT_eX]

[DOI]

CoRR, 2019

Meta Dropout: Learning to Perturb Features for Generalization.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout.

[BibT_eX]

[DOI]

CoRR, 2018

DropMax: Adaptive Variational Softmax.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Uncertainty-Aware Attention for Reliable Interpretation and Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Asymmetric Multi-task Feature Learning.

[BibT_eX]

[DOI]

Haebeom Lee

Eunho Yang

Sung Ju Hwang

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

DropMax: Adaptive Stochastic Softmax.

[BibT_eX]

[DOI]

CoRR, 2017

Haebeom Lee

Timeline

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On csauthors.net:

Bibliography

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