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![](http://i1.daumcdn.net/thumb/C150x150/?fname=https://blog.kakaocdn.net/dn/buXCIn/btr5pGohi4n/oGX6gS9efY8iMDXNhuxSSK/img.png)
⚽ GOAL 2020 ~ 2023 사이에 활발하게 이루어진 연구들의 개념을 알아본다 각 개념의 대표적인 논문들을 간단하게 소개하여 연구의 흐름을 알아본다 이를 통해서 본인 연구/개발에서 써 볼만한 insight를 얻어갔으면 하는 마음.. 🙈 Unsupervised Learning : input data have no corresponding classifications or labeling examples Clustering (K-means…) Visualization and Dimensionality Reduction (PCA, t-SNE) 🙉 Semi-Supervised Learning : use a small set of input-output pairs and another set of only ..
![](http://i1.daumcdn.net/thumb/C150x150/?fname=https://blog.kakaocdn.net/dn/bHwSbH/btr5e6WPTNv/TNf9la0bwXRaiHwY4Zp2m0/img.png)
Core-set: Active Learning for Convolutional Neural Networks 논문 링크: https://arxiv.org/abs/1708.00489 Active Learning for Convolutional Neural Networks: A Core-Set Approach Convolutional neural networks (CNNs) have been successfully applied to many recognition and learning tasks using a universal recipe; training a deep model on a very large dataset of supervised examples. However, this approach i..