Seanie Lee

According to our database, Seanie Lee authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries.

Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen

CoRR, 2024

2023

Self-Supervised Dataset Distillation for Transfer Learning.

Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang

CoRR, 2023

Drug Discovery with Dynamic Goal-aware Fragments.

Seul Lee, Seanie Lee, Sung Ju Hwang

CoRR, 2023

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

Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang

CoRR, 2023

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

Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang

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.

Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang

Proceedings of the International Conference on Machine Learning, 2023

Margin-based Neural Network Watermarking.

Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang

Proceedings of the International Conference on Machine Learning, 2023

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

Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Distillation for Further Pre-training of Transformers.

Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang

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.

Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee

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

Set Based Stochastic Subsampling.

Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang

Proceedings of the International Conference on Machine Learning, 2022

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

Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

Donggyu Kim, Seanie Lee

CoRR, 2021

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

Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang

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

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation.

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.

Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang

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.

Kyubyong Park, Seanie Lee

CoRR, 2020

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

Kyubyong Park, Seanie Lee

Proceedings of the Interspeech 2020, 2020

Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs.

Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Domain-agnostic Question-Answering with Adversarial Training.

Seanie Lee, Donggyu Kim, Jangwon Park

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Incorporating product description to sentiment topic models for improved aspect-based sentiment analysis.

Reinald Kim Amplayo, Seanie Lee, Min Song

Inf. Sci., 2018