Seanie Lee

发表

On Divergence Measures for Bayesian Pseudocoresets

Juho Lee, Yoonho Lee, Jung-Woo Ha, 2022, NeurIPS.

Self-Distillation for Further Pre-training of Transformers

Sung Ju Hwang, Juho Lee, Kenji Kawaguchi, 2022, ArXiv.

Set Based Stochastic Subsampling

Eunho Yang, Juho Lee, A. Nguyen, 2020, ICML.

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

Juho Lee, Kenji Kawaguchi, S. Hwang, 2022, ArXiv.

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

Kyubyong Park, Seanie Lee, Seanie Lee, 2020, INTERSPEECH.

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

Sung Ju Hwang, Dong Bok Lee, Seanie Lee, 2020, ACL.

Domain-agnostic Question-Answering with Adversarial Training

Donggyu Kim, Seanie Lee, Jangwon Park, 2019, EMNLP.

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation pdf

Dong Bok Lee, Sung Ju Hwang, Seanie Lee, 2020, ICLR.

DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models

Sung Ju Hwang, Hayeon Lee, Sohyun An, 2023, ArXiv.

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

Sung Ju Hwang, Kenji Kawaguchi, Jinheon Baek, 2023, ArXiv.

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

Juho Lee, Kenji Kawaguchi, S. Hwang, 2022, ICML.

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

Juho Lee, S. Hwang, Minki Kang, 2021, ACL.

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

Reinald Kim Amplayo, Seanie Lee, Min Song, 2018, Inf. Sci..

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

Juho Lee, Kenji Kawaguchi, S. Hwang, 2022, NeurIPS.

Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning

Haebeom Lee, S. Hwang, Seanie Lee, 2021, ICLR.

Stochastic Subset Selection for Efﬁcient Training and Inference of Neural Networks

Eunho Yang, Juho Lee, A. Nguyen, 2021 .

S ELF -S UPERVISED S ET R EPRESENTATION L EARNING FOR U NSUPERVISED M ETA -L EARNING

Kenji Kawaguchi, Seanie Lee, 2023 .

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

Seanie Lee, Donggyu Kim, Donggyu Kim, 2021, ArXiv.

Self-Distillation for Further Pre-training of Transformers

Sung Ju Hwang, Juho Lee, Kenji Kawaguchi, 2022, International Conference on Learning Representations.

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

Sung Ju Hwang, Kenji Kawaguchi, Jinheon Baek, 2023, NeurIPS.

Drug Discovery with Dynamic Goal-aware Fragments

Seul Lee, Seanie Lee, Sung Ju Hwang, 2023, ICML.

Learning diverse attacks on large language models for robust red-teaming and safety tuning

Y. Bengio, Gauthier Gidel, Moksh Jain, 2024, ArXiv.

Margin-based Neural Network Watermarking

Sooel Son, S. Hwang, Seanie Lee, 2023, ICML.

DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models

Hayeon Lee, Jaehyeong Jo, Seanie Lee, 2023, 2305.16943.