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TransDreamer: Reinforcement Learning with Transformer World Models



Chang Chen , Yi-Fu Wu , Jaesik Yoon , Sungjin Ahn

* Deep RL Workshop NeurIPS 2021 

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Generative Video Transformer: Can Objects be the Words?



Yi-Fu Wu , Jaesik Yoon , Sungjin Ahn

* Published in ICML 2021 

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Robustifying Sequential Neural Processes



Jaesik Yoon , Gautam Singh , Sungjin Ahn

* Accepted in ICML 2020 

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Sequential Neural Processes



Gautam Singh , Jaesik Yoon , Youngsung Son , Sungjin Ahn

* First two authors contributed equally. 27 pages with appendix including experimental details 

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One-Shot Learning for Text-to-SQL Generation



Dongjun Lee , Jaesik Yoon , Jongyun Song , Sanggil Lee , Sungroh Yoon


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Bayesian Model-Agnostic Meta-Learning



Taesup Kim , Jaesik Yoon , Ousmane Dia , Sungwoong Kim , Yoshua Bengio , Sungjin Ahn

* First two authors contributed equally. 15 pages with appendix including experimental details. Accepted in NIPS 2018 

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Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA



Jaekoo Lee , Byunghan Lee , Jongyoon Song , Jaesik Yoon , Yongsik Lee , Donghun Lee , Sungroh Yoon

* This version withdrawn by arXiv administrators because the author did not have the right to agree to our license at the time of submission 

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