self-supervised-learning-narratives-1

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self-supervised-learning-narratives-1

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거꾸로 읽는 self-supervised learning 파트 1

self-supervised-learning-narratives-1 최신버젼 다운로드

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# [스터디 종료] 거꾸로 읽는 self-supervised-learning 파트1

- 정말 세상에 좋은 모델이 너무 많고, 유명한 논문도 너무 많습니다. 
- 우리는 현시점에서 지난 2년간 정말 역사적으로 의미가 있었던 self-supervised learning 논문을 다시 봅니다.
- 해당 논문에서 제시하는 메소드의 특징 그리고 역사적으로 평가되는 이유에 대해서 즐겁게 토론하는 시간을 가집니다. 
- 우리가 매주 모이는 [zoom link](https://us02web.zoom.us/j/4705445325?pwd=Mk9UeklVU3hGN2p5YkhjaVNvc01hdz09)

## 기간
- 2022년 4월 16일 ~ 2022년 06월 04일
- 오전 10시30분 ~ 오후 12시

## 발표 논문 및 순서
> [google sheet](https://docs.google.com/spreadsheets/d/1P-pACgU9G0xq6M9Gufad-3tLUBavSMyUL0NIdd6TVH8/edit#gid=0)

#### Representation learning for clustering

| | paper title | 논문 발표 | 코드 분석
-- | -- | -- | --
1주차 | [DEC: Unsupervised Deep Embedding for Clustering Analysis](https://proceedings.mlr.press/v48/xieb16.pdf) | [강재욱](https://github.com/jwkanggist) | [강재욱](https://github.com/jwkanggist)
2주차 | [DAC: Deep Adaptive Image Clustering](https://openaccess.thecvf.com/content_ICCV_2017/papers/Chang_Deep_Adaptive_Image_ICCV_2017_paper.pdf) ([논문리뷰영상](https://youtu.be/o_B8NhfmETc)), ([코드리뷰영상](https://youtu.be/Yp9GgiBKzts))    | [김건](https://github.com/Lightning2) | [김세용](https://github.com/rest1h)
3주차 | [DeepClustering: Deep Clustering for Unsupervised Learning of Visual Features](https://arxiv.org/abs/1807.05520) ([논문리뷰영상](https://youtu.be/CwdevCWglJk)), ([코드리뷰영상](https://youtu.be/q1ztleJ5Pjg))  | [김효실](https://github.com/hs1003)  | [김희은](https://github.com/hekim3434)

#### Representation learning 코어 기술

| | paper title | 논문 발표 | 코드 분석
-- | -- | -- | --
4주차 | [VQ-VAE: Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) ([논문리뷰영상](https://www.youtube.com/watch?v=tF1WSN-11PQ))  | [김기범](https://github.com/isingmodel)  | [황중원](https://github.com/HwangJohn)
5주차 | [CPC v1: Representation Learning with Contrastive Predictive Coding](https://arxiv.org/abs/1807.03748)  ([논문리뷰영상](https://www.youtube.com/watch?v=vgzDpgxDVGQ)), ([코드리뷰영상](https://www.youtube.com/watch?v=6_XlRoJWU_U))  | [정두해](https://github.com/Doohae)  | [김세용](https://github.com/rest1h)

####  Instance-level contrastive learning

| | paper title | 논문 발표 | 코드 분석
-- | -- | -- | --
6주차 | [MoCo v1: Momentum Contrast for Unsupervised Visual Representation Learning](https://arxiv.org/abs/1911.05722) ([논문리뷰영상](https://youtu.be/S-FsnPxAEFA))  | [오진우](https://github.com/deeesp) 
7주차 | [SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments](https://arxiv.org/abs/2006.09882) ([논문리뷰영상](https://youtu.be/6u_yt_Ql3qs))  |  [박성훈](https://github.com/futuremine97)

#### Self-supervised learning withtout negative examples

## 관련 링크
- [모두의 연구소 풀잎스쿨 페이지](https://modulabs.co.kr/product/flip18th-6483-2022-03-05-165818/?fbclid=IwAR0AlTRIM7tNg3bo9xpCNg2bTGZxPKZnOPNzCmiBMX0gCKhpb9Ol8HIm_40)

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