NeurIPS 2021 Social: ML in Korea

We invite everyone who is part of and/or interested in the ML research scene in Korea. Participants can introduce their own ML research, especially if it's part of NeurIPS 2021. They can also introduce NeurIPS 2021 papers that they find interesting and discuss them with other participants. Other possible discussion topics include (but are not limited to): Korean NLP, computer vision and datasets, ML for post COVID-19 era, and career options in academia/industry in Korea. We welcome everyone from anywhere in the world, as long as you can keep awake if our event falls in the middle of the night for you. Note that we had this same Social at ICLR 2020, 2021 and NeurIPS 2020 with active participation of more than 100 people.


Date & Time: Dec. 6 (Mon) 9:00am ~12:00pm (KST)


Plenary talk

Spaker: Prof. Bohyung Han (Seoul National University)

Title: About Frustratingly Better Models Abstract:

Deep learning has achieved remarkable success in the last decade, and the unprecedented wave of deep learning research even changes the concept and methodology of academic research. Many people in academia devote themselves to training deep neural networks and spend a lot of resources to obtain a model with marginally improved performance, unfortunately. I hope this talk provides an opportunity to think about potential limitations originating from this trend and discuss desirable directions for more valuable research.


  • Seunghoon Hong (KAIST)

  • Gunhee Kim (Seoul National University)

  • Jung-Woo Ha (NAVER CLOVA AI Lab)

  • Lucy Park (UPSTAGE)

  • Soonmin Bae (KT)

  • Sungjoo Ha (Hyperconnect)

  • Woohyung Lim (LG AI Research)

  • Saehoon Kim (Kakaobrain)

  • Baekjun Lim (Samsung AI Center)

  • Junho Lim (Hyundai Motors Company)


Neurips 2021 paper wall - 1

Neurips 2021 paper wall - 2

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