Taehyeon Kim

Affiliations:

Korea Advanced Institute of Science and Technology (KAIST), Graduate School of Artificial Intelligence, Seoul, South Korea

According to our database¹, Taehyeon Kim authored at least 21 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

C<sup>2</sup>: Scalable Auto-Feedback for LLM-based Chart Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Block Transformer: Global-to-Local Language Modeling for Fast Inference.

[BibT_eX]

[DOI]

CoRR, 2024

Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels.

[BibT_eX]

[DOI]

Taehyeon Kim

Donggyu Kim

Se-Young Yun

CoRR, 2024

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

Yongjin Yang

Taehyeon Kim

Se-Young Yun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition.

[BibT_eX]

[DOI]

CoRR, 2022

Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search.

[BibT_eX]

[DOI]

Taehyeon Kim

Heesoo Myeong

Se-Young Yun

CoRR, 2022

Supernet Training for Federated Image Classification under System Heterogeneity.

[BibT_eX]

[DOI]

Taehyeon Kim

Se-Young Yun

CoRR, 2022

SuperNet in Neural Architecture Search: A Taxonomic Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces.

[BibT_eX]

[DOI]

Jaeyeon Ahn

Taehyeon Kim

Seyoung Yun

CoRR, 2022

Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification.

[BibT_eX]

[DOI]

Taehyeon Kim

Se-Young Yun

IEEE Access, 2022

2021

FINE Samples for Learning with Noisy Labels.

[BibT_eX]

[DOI]

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

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Adaptive Local Bayesian Optimization Over Multiple Discrete Variables.

[BibT_eX]

[DOI]

CoRR, 2020

Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Efficient Model for Image Classification With Regularization Tricks.

[BibT_eX]

[DOI]

Taehyeon Kim

Jonghyup Kim

Seyoung Yun

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Taehyeon Kim

Timeline

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On csauthors.net:

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