Hi there!

My name is Jaesik (pronunciation is similar to Jsik) Yoon (윤재식). I'm a machine learning developer in SAP and a first-year ph.D. student in the Rutgers Machine Learning Group under the supervision by Professor Sungjin Ahn. Before that, I worked in Samsung electronics and graduated from KAIST. My research interesting is to explore a variety of new opportunities to extend the generality of Artificial Intelligence. Besides my professional works, I am a wise lady's husband and a dad of 2 sons. :)

Github / Google Scholar

Contact

jaesik.yoon.kr at gmail dot com

News

  • Our paper, Generative Video Transformer: Can Objects be the Words? got accepted in ICML 2021! arxiv

  • The Robustifying Sequential Neural Processes ASNP-RMR code is released. code

  • Our paper, Robustifying Sequential Neural Processes got accepted in ICML 2020. arxiv

  • The Sequential Neural Processes code for 1D and 2D task is released. code

  • Our paper, Sequential Neural Processes is accepted in NeurIPS 2019 as a SPOTLIGHT paper.

  • Our paper, Sequential Neural Processes is opened. arxiv / blog

  • The Bayesian MAML code for regression and RL task is released. 1D code / RL code

  • Our paper, One-Shot Learning for Text-to-SQL Generation is opened. arxiv

  • Our paper, Bayesian Model-Agnostic Meta-Learning is accepted in NeurIPS 2018 as a SPOTLIGHT paper.

  • Our paper, Bayesian Model-Agnostic Meta-Learning is opened. arxiv

Publications

  • Generative Video Transformer: Can Objects be the Words?

Yi-Fu Wu, J. Yoon, S. Ahn

[ICML 2021] [pdf]

  • Robustifying Sequential Neural Processes

J. Yoon, G. Singh, S. Ahn

[ICML 2020] [pdf] / [code]

  • Sequential Neural Processes

G. Singh*, J. Yoon*, Y. Son, S. Ahn (* indicates equal contribution)

[NeurIPS 2019][Spotlight (top 2.4% = 164/6743)] [pdf] / [blog] / [code]

  • One-Shot Learning for Text-to-SQL Generation

D. Lee, J. Yoon, J. Song, S. Lee, S. Yoon

[arxiv preprint]

  • Bayesian Model-Agnostic Meta Learning

J. Yoon*, T. Kim*, O. Dia, S. Kim, Y. Bengio, S. Ahn (* indicates equal contribution)

[NeurIPS 2018][Spotlight (top 3.5% = 168/4856)] [oral] / [pdf] / [code] / [code]

  • A hierarchical-structured dictionary learning for image classification

J. Yoon, J. Choi, C.D. Yoo

[ICIP 2014][Oral] [pdf]

Talks

  • Bayesian Meta-Learning, SAP Conference on Machine Learning (CML) (May, 2021)

  • (Robustifying) Sequential Neural Processes, NOTA (Jun, 2020)

  • Adversarial Attacks, Naver (Dec 2017), IITP (Nov 2018)

Services

  • Reviewer: Neurips 2020-2021, ICLR 2021, ICML 2021