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2020 – today
- 2024
[c10]Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang:
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. ICLR 2024- [i11]Bedionita Soro, Bruno Andreis, Hayeon Lee, Song Chong, Frank Hutter, Sung Ju Hwang:
Diffusion-based Neural Network Weights Generation. CoRR abs/2402.18153 (2024) - 2023
- [c9]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) 2023: 11239-11246 - [c8]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) 2023: 7458-7467 - [c7]Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang:
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. ICLR 2023 - [i10]Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang:
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models. CoRR abs/2305.16943 (2023) - [i9]Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang:
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. CoRR abs/2305.16948 (2023) - [i8]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR abs/2305.18239 (2023) - [i7]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR abs/2311.02849 (2023) - 2022
- [c6]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR 2022 - [i6]Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun:
SuperNet in Neural Architecture Search: A Taxonomic Survey. CoRR abs/2204.03916 (2022) - 2021
- [c5]Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang:
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. ICLR 2021 - [c4]Sunjae Lee
, Hayeon Lee, Hoyoung Kim, Sangmin Lee, Jeong Woon Choi, Yuseung Lee, Seono Lee, Ahyeon Kim, Jean Y. Song, Sangeun Oh, Steven Y. Ko, Insik Shin:
FLUID-XP: flexible user interface distribution for cross-platform experience. MobiCom 2021: 762-774 - [c3]Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang:
Task-Adaptive Neural Network Search with Meta-Contrastive Learning. NeurIPS 2021: 21310-21324 - [c2]Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang:
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning. NeurIPS 2021: 27016-27028 - [i5]Wonyong Jeong, Hayeon Lee, Gun Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang:
Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. CoRR abs/2103.01495 (2021) - [i4]Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang:
HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning. CoRR abs/2106.08630 (2021) - [i3]Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang:
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. CoRR abs/2107.00860 (2021) - [i2]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR abs/2110.02508 (2021) - 2020
- [c1]Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR 2020
2010 – 2019
- 2019
- [i1]Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang:
Learning to Generalize to Unseen Tasks with Bilevel Optimization. CoRR abs/1908.01457 (2019)
Coauthor Index
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