Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Drug Discovery with Dynamic Goal-aware Fragments.

[BibT_eX]

[DOI]

Seul Lee

Seanie Lee

Kenji Kawaguchi

Sung Ju Hwang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Self-Supervised Dataset Distillation for Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Optimized Speculative Sampling for GPU Hardware Accelerators.

[BibT_eX]

[DOI]

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

2023

Drug Discovery with Dynamic Goal-aware Fragments.

[BibT_eX]

[DOI]

Seul Lee

Seanie Lee

Sung Ju Hwang

CoRR, 2023

DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks.

[BibT_eX]

[DOI]

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

Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Margin-based Neural Network Watermarking.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Self-Supervised Set Representation Learning for Unsupervised Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Distillation for Further Pre-training of Transformers.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Set-based Meta-Interpolation for Few-Task Meta-Learning.

[BibT_eX]

[DOI]

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

On Divergence Measures for Bayesian Pseudocoresets.

[BibT_eX]

[DOI]

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

Set Based Stochastic Subsampling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Self-supervised Text-to-SQL Learning with Header Alignment Training.

[BibT_eX]

[DOI]

Donggyu Kim

Seanie Lee

CoRR, 2021

Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning.

[BibT_eX]

[DOI]

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

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation.

[BibT_eX]

[DOI]

Seanie Lee

Dong Bok Lee

Sung Ju Hwang

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

Learning to Perturb Word Embeddings for Out-of-distribution QA.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

g2pM: A Neural Grapheme-to-Phoneme Conversion Package for MandarinChinese Based on a New Open Benchmark Dataset.

[BibT_eX]

[DOI]

Kyubyong Park

Seanie Lee

CoRR, 2020

g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset.

[BibT_eX]

[DOI]

Kyubyong Park

Seanie Lee