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HYU-AILAB / Ai Seminar

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AI & Deep Leanring Seminar @ Artificial Intelligence Lab, Hanyang University

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AI Seminar Season #16 (Mar 5, 2021 - Apr 5, 2021)

한양대학교 인공지능연구실에서 매주 진행하는 AI Seminar 발표 자료 및 구현 코드를 담고 있습니다. Season #15 은 각자 Deep Learning 관련 paper을 선정하여 세미나를 진행합니다.

# Topic Period
1 Season 1 : Deep Learning 기초 모델 세미나 Nov 9, 2017 - Apr 12, 2018
2 Season 2 : Deep Learning Paper Review Apr 19, 2018 - May 31, 2018
3 Season 3 : Deep Learning 주제 리딩 세미나 Jul 04, 2018 - Aug 29, 2018
4 Season 4 : 업무별 그룹 주최 세미나 Sep 12, 2018 - Dec 05, 2018
5 Season 5 : Deep Learning 자율 주제 세미나 Jan 08, 2019 - Feb 19, 2019
6 Season 6 : Deep Learning 기초 모델 복습 세미나 Mar 19, 2019 - Apr 09, 2019
7 Season 7 : Deep Learning 자율 주제 세미나 May 07, 2019 - Jun 10, 2019
8 Season 8 : Deep Learning 자율 주제 세미나 Jul 15, 2019 - Aug 19, 2019
9 Season 9 : Deep Learning 자율 주제 세미나 Sep 17, 2019 - Oct 22, 2019
10 Season 10 : Deep Learning 자율 주제 세미나 Dec 3, 2019 - Feb 18, 2020
11 Season 11 : Deep Learning 기초 모델 복습 세미나 Mar 24, 2020 - Apr 14, 2020
12 Season 12 : Deep Learning 자율 주제 세미나 May 18, 2020 - June 22, 2020
13 Season 13 : Deep Learning 자율 주제 세미나 Aug 03, 2020 - Sep 07, 2020
14 Season 14 : Deep Learning 자율 주제 세미나 Oct 12, 2020 - Nov 09, 2020
15 Season 15 : Deep Learning 자율 주제 세미나 Jan 18, 2021 - Feb 8, 2021
15 Season 16 : Deep Learning 자율 주제 세미나 Mar 5, 2021 - Apr 5, 2021

Seminar Rules

  • 매주 월요일 6시에 시작하여, 발표 당 시간은 30분 이내로 진행한다.
  • 발표자가 아닌 경우에 한하여 연차 사용 가능 - 시즌당 1회, 한주에 최대 3명
  • README에 논문에 대한 정보와 관련 자료(article, blog) 및 구현 코드(github) 등을 정리하여 올리도록 한다.
  • 발표 자료는 PDF 형식으로 만들어서 올리도록 한다.
  • 모든 세미나 자료는 github을 통해 공유하여 추후 개인 포트폴리오로 활용할 수 있도록 한다.

Schedule

  • 총 5주간 진행
  • 최소한 발표 1주 전까지는 발표주제 update!
# Date Presenter Subject
01 Mar 8 김수형 Japanese and korean voice search
02 Mar 8 정근욱 Bidirectional Attention Flow for Machine Comprehension
03 Mar 15 조환희 GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples
04 Mar 15 김형섭 Progressive Ensemble Networks for Zero-Shot Recognition
05 Mar 22 백형렬 Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
06 Mar 22 최원혁 Language Models are Few-Shot Learners (aka. GPT-Mar
07 Mar 29 조건희 TBD
08 Mar 29 강사무엘 Recurrent Back-Projection Network for Video Super-Resolution
09 Apr 5 정진우 TBD
10 Apr 5 박지현 Learning to Segment Every Thing

Git Manual & Markdown Editor

  • Git & Github 메뉴얼을 참고하여 본인이 준비한 자료를 정상적으로 Repo에 올릴 수 있도록 한다.
  • 예습자료(README)를 작성할 때는 Visual Studio Code(download), MarkRight(download)등의 Editor를 사용하도록 한다.
  • Markdown 문법은 구글링... 다 공부하지 말고 필요한 것만 찾아서 쓰도록 한다.
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