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Hi all,
I am currently trying to understand how to do semi-supervised learning with gpytorch based on this paper: https://arxiv.org/pdf/1805.10407.pdf
I would like to setup a mini-batch approach…
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1. Non Euclidean Space data 중, Graph Handling 에 대한 전반적인 소개
2. 리뷰할 논문
- [Geometric Deep Learning: Going Beyond Euclidean Data](https://arxiv.org/pdf/1611.08097.pdf)
- [Revisiting Semi-Supervised L…
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https://arxiv.org/pdf/1511.06434.pdf
In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications. Comparatively, unsupervised lear…
leo-p updated
7 years ago
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Hello!
can I use your wonderful deep learning neural network library for my task:
there's a board game (with sowing mechanism: Mancala, Oware, etc.) and I have thousands of games of top players (wit…
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https://github.com/YinengWang/Supervised-Image-Classification-with-Noisy-Labels-Using-Deep-Learning/blob/6c61b62a0a43d2116774c0bd42704b1637ba1b57/datasets.py#L90-L92
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I really appreciate what you have done there.
But according to what I have seen from your gif, it seems work badly at even this simple game(Mario).
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Will it be better to use traditional deep…
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I would like to ask if categorizing all the papers/adding an extra column regarding type of supervision(supervised/semi-supervised/self-supervised/weakly-supervised/semi-weakly-supervised) is possible…
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Add the weights_column parameter to the Naive Bayes algorithm. This option is available in the other supervised learning algorithms like: GBM, DRF, Deep Learning, GLM, XGBoost.
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Exploring the concept of autonomous machines, particularly within the context of directions (navigation, decision-making, etc.), involves several technical aspects that combine elements of artificial …
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- 스터디 일시: 2021.08.18
- 참여자: 고예슬, 김다혜, 서원국, 선승현, 신윤서
- ice breaking
- 자기소개
- 스터디 참가 이유
## 스터디
### Learning Objectives
- Discuss the major trends driving the rise of deep learning.
- Expla…