I am a PhD student at Machine Learning and Artificial Intelligence (MLAI) lab in KAIST, working on meta-learning and machine learning. I am fortunate to be advised by Professor Sung Ju Hwang and Juho Lee. I also closely collaborate with Kenji Kawaguchi. Here is my cv.
🔥 News
- 2023.01: 🎉🎉 Two papers accepted to ICLR 2023.
- 2022.10: ✈️ Google Travel Grant for NeurIPS 2022 from Google.
- 2022.09: 🎉🎉 Two papers accepted to NeurIPS 2022.
- 2022.05: 🎉🎉 One paper accepted to ICML 2022.
📝 Publications
-
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
[paper]
Jeff Willette* Seanie Lee*, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Arxiv 2023 -
Self-Distillation for Further Pre-training of Transformers
[paper]
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
ICLR 2023 -
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
[paper]
Dong Bok Lee*, Seanie Lee*, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang (*: equal contribution)
ICLR 2023 -
Set-based Meta-Interpolation for Few-Task Meta-Learning
[paper]
Seanie Lee*, Bruno Andreis*, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang (*: equal contribution)
NeurIPS 2022 -
On Divergence Measures for Bayesian Pseudocoresets
[paper]
Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
NeurIPS 2022 -
Set Based Stochastic Subsampling
[paper]
Bruno Andreis, Seanie Lee, A. Tuan Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang
ICML 2022 -
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
[paper]
Seanie Lee*, Hae Beom Lee*, Juho Lee, Sung Ju Hwang (*: equal contribution)
ICLR 2022 -
Learning to Perturb Word Embeddings for Out-of-distribution QA
[paper]
Seanie Lee*, Minki Kang*, Juho Lee, Sung Ju Hwang (*: equal contribution)
ACL 2021 -
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
[paper]
Seanie Lee*, Dong Bok Lee*, Sung Ju Hwang (*: equal contribution)
ICLR 2021 -
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
[paper]
Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang
ICLR 2021 -
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
[paper]
Dong Bok Lee*, Seanie Lee*, WooTae Jeong, Donghwan Kim, Sung Ju Hwang (*: equal contribution)
ACL 2020 -
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset
[paper]
Kyubyong Park*, Seanie Lee* (*: equal contribution)
INTERSPEECH 2020
🎖 Honors and Awards
- Google Travel Grant for NeurIPS 2022 from Google
- 2018.12 Silver Medal in NLP challenge.
📖 Educations
- 2022.03 - present, PhD. in Artificial Intelligence. Korea Advanced Institute of Science and Technology.
- 2020.03 - 2022.02, M.S. in Artificial Intelligence. Korea Advanced Institute of Science and Technology.
- 2011.03 - 2018.02, B.A. in Library and Information Science. Yonsei University.
💬 Invited Talks
- 2021.12, Tech. talk, NAVER corp. Present ACL 2020 paper.
💻 Internships
- 2022.06 - 2022.9, Remote internship at NUS, Host: Kenji Kawaguchi