Seanie Lee

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Transfer Learning

Diffusion Models

Neural Architecture

Top Venues

Publications

Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries. CoRR (2024)
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Self-Supervised Dataset Distillation for Transfer Learning. ICLR (2024)
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR (2024)
Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries. NAACL-HLT (2024)
Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. ICLR (2024)
Dominik Wagner, Seanie Lee, Ilja Baumann, Philipp Seeberger, Korbinian Riedhammer, Tobias Bocklet
Optimized Speculative Sampling for GPU Hardware Accelerators. CoRR (2024)
Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models. CoRR (2023)
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
Self-Distillation for Further Pre-training of Transformers. ICLR (2023)
Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR (2023)
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. NeurIPS (2023)
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. CoRR (2023)
Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang
Margin-based Neural Network Watermarking. ICML (2023)
Seul Lee, Seanie Lee, Sung Ju Hwang
Drug Discovery with Dynamic Goal-aware Fragments. CoRR (2023)
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Self-Supervised Dataset Distillation for Transfer Learning. CoRR (2023)
Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. ICML (2023)
Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Set-based Meta-Interpolation for Few-Task Meta-Learning. NeurIPS (2022)
Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
On Divergence Measures for Bayesian Pseudocoresets. CoRR (2022)
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
Self-Distillation for Further Pre-training of Transformers. CoRR (2022)
Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang
Set Based Stochastic Subsampling. ICML (2022)
Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. ICLR (2022)
Seanie Lee, Andreis Bruno, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Set-based Meta-Interpolation for Few-Task Meta-Learning. CoRR (2022)
Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
On Divergence Measures for Bayesian Pseudocoresets. NeurIPS (2022)
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang
Learning to Perturb Word Embeddings for Out-of-distribution QA. ACL/IJCNLP (1) (2021)
Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning. ICLR (2021)
Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. CoRR (2021)
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang
Learning to Perturb Word Embeddings for Out-of-distribution QA. CoRR (2021)
Seanie Lee, Dong Bok Lee, Sung Ju Hwang
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. ICLR (2021)
Donggyu Kim, Seanie Lee
Self-supervised Text-to-SQL Learning with Header Alignment Training. CoRR (2021)
Kyubyong Park, Seanie Lee
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset. INTERSPEECH (2020)
Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. ACL (2020)
Seanie Lee, Dong Bok Lee, Sung Ju Hwang
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. CoRR (2020)
Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. CoRR (2020)
Kyubyong Park, Seanie Lee
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for MandarinChinese Based on a New Open Benchmark Dataset. CoRR (2020)
Seanie Lee, Donggyu Kim, Jangwon Park
Domain-agnostic Question-Answering with Adversarial Training. CoRR (2019)
Seanie Lee, Donggyu Kim, Jangwon Park
Domain-agnostic Question-Answering with Adversarial Training. MRQA@EMNLP (2019)
Reinald Kim Amplayo, Seanie Lee, Min Song
Incorporating product description to sentiment topic models for improved aspect-based sentiment analysis. Inf. Sci. (2018)