Jaeho Lee

Orcid: 0000-0002-1349-8595

Affiliations:

Pohang University of Science and Technology, POSTECH, Korea
University of Illinois Urbana-Champaign, Electrical and Computer Engineering, IL, USA (PhD 2019)

According to our database¹, Jaeho Lee authored at least 30 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Hybrid Neural Representations for Spherical Data.

[BibT_eX]

[DOI]

CoRR, 2024

2023

In Search of a Data Transformation That Accelerates Neural Field Training.

[BibT_eX]

[DOI]

CoRR, 2023

Communication-Efficient Split Learning via Adaptive Feature-Wise Compression.

[BibT_eX]

[DOI]

Yongjeong Oh

Jaeho Lee

Christopher G. Brinton

Yo-Seb Jeon

CoRR, 2023

Debiased Distillation by Transplanting the Last Layer.

[BibT_eX]

[DOI]

Jiwoon Lee

Jaeho Lee

CoRR, 2023

MaskedKD: Efficient Distillation of Vision Transformers with Masked Images.

[BibT_eX]

[DOI]

Seungwoo Son

Namhoon Lee

Jaeho Lee

CoRR, 2023

Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations.

[BibT_eX]

[DOI]

Jonathan Richard Schwarz

CoRR, 2023

Explaining Visual Biases as Words by Generating Captions.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Large-scale Neural Fields via Context Pruned Meta-Learning.

[BibT_eX]

[DOI]

Jonathan Richard Schwarz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Modality-Agnostic Variational Compression of Implicit Neural Representations.

[BibT_eX]

[DOI]

Jonathan Richard Schwarz

Proceedings of the International Conference on Machine Learning, 2023

2022

Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling.

[BibT_eX]

[DOI]

CoRR, 2022

Zero-shot Blind Image Denoising via Implicit Neural Representations.

[BibT_eX]

[DOI]

Chaewon Kim

Jaeho Lee

Jinwoo Shin

CoRR, 2022

Meta-Learning with Self-Improving Momentum Target.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalable Neural Video Representations with Learnable Positional Features.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Meta-Learning Sparse Implicit Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Minimum Width for Universal Approximation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Layer-adaptive Sparsity for the Magnitude-based Pruning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Co<sup>2</sup>L: Contrastive Continual Learning.

[BibT_eX]

[DOI]

Hyuntak Cha

Jaeho Lee

Jinwoo Shin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Provable Memorization via Deep Neural Networks using Sub-linear Parameters.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2021

MASKER: Masked Keyword Regularization for Reliable Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning.

[BibT_eX]

[DOI]

CoRR, 2020

Learning from Failure: Training Debiased Classifier from Biased Classifier.

[BibT_eX]

[DOI]

CoRR, 2020

Learning from Failure: De-biasing Classifier from Biased Classifier.

[BibT_eX]

[DOI]

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

Learning Bounds for Risk-sensitive Learning.

[BibT_eX]

[DOI]

Jaeho Lee

Sejun Park

Jinwoo Shin

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

Lookahead: A Far-sighted Alternative of Magnitude-based Pruning.

[BibT_eX]

[DOI]

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

2019

Robustness and generalization guarantees for statistical learning of generative models

[BibT_eX]

[DOI]

Jaeho Lee

PhD thesis, 2019

Learning Finite-Dimensional Coding Schemes with Nonlinear Reconstruction Maps.

[BibT_eX]

[DOI]

Jaeho Lee

Maxim Raginsky

SIAM J. Math. Data Sci., 2019

2018

Minimax Statistical Learning with Wasserstein distances.

[BibT_eX]

[DOI]

Jaeho Lee

Maxim Raginsky

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

2017

Minimax Statistical Learning and Domain Adaptation with Wasserstein Distances.

[BibT_eX]

[DOI]

Jaeho Lee

Maxim Raginsky

CoRR, 2017

2015

On MMSE estimation from quantized observations in the nonasymptotic regime.

[BibT_eX]

[DOI]

Jaeho Lee

Maxim Raginsky

Pierre Moulin

Proceedings of the IEEE International Symposium on Information Theory, 2015

Jaeho Lee

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