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Optimal Neural Architecture Generation with Diffusion Models
Existing NAS methods suffer from either an excessive amount of time for repetitive sampling and training of many task-irrelevant …
Sohyun An
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One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
Large Language Models (LLMs) exhibit strong generalization capabilities to novel tasks when prompted with language instructions and …
Ruochen Wang*, Sohyun An*, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
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DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
Existing NAS methods suffer from either an excessive amount of time for repetitive sampling and training of many task-irrelevant …
Sohyun An*, Hayeon Lee*, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
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Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
Distillation-aware Neural Architecture Search (DaNAS) aims to search for an optimal student architecture that obtains the best …
Hayeon Lee*, Sohyun An*, Minseon Kim, Sung Ju Hwang
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Lightweight Neural Architecture Search with Parameter Remapping and Knowledge Distillation
Designing diverse neural architectures taking into account resource constraints or datasets is one of the main challenges in Neural …
Hayeon Lee*, Sohyun An*, Minseon Kim, Sung Ju Hwang
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