논문 읽기 연습/그냥 메모
Exploring Simple Siamese Representation Learning
https://arxiv.org/abs/2011.10566 Exploring Simple Siamese Representation Learning Siamese networks have become a common structure in various recent models for unsupervised visual representation learning. These models maximize the similarity between two augmentations of one image, subject to certain conditions for avoiding collapsing sol arxiv.org https://www.youtube.com/watch?v=Z1Os54oND8s&ab_ch..
Representation Learning with Contrastive Predictive Coding (CPC)
https://www.youtube.com/watch?v=X4fwPhGaR8Q&ab_channel=%EA%B3%A0%EB%A0%A4%EB%8C%80%ED%95%99%EA%B5%90%EC%82%B0%EC%97%85%EA%B2%BD%EC%98%81%EA%B3%B5%ED%95%99%EB%B6%80DSBA%EC%97%B0%EA%B5%AC%EC%8B%A4 밑은 CNN이든 뭐든 어쨌든 latent vector를 만들고 위는 GRU, LSTM등의 시계열로 처리해서 관계성. 나중엔 여기에 내 목적용 classification 용 layer만 붙여 fine tuning해서 사용. 밑은 다른 코드에서 cpc를 작성한거 분석한것. https://github.com/hhi-aml/ecg-selfsupervised/blob/m..