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Lately, a lot of active learning methods have been developed for deep neural networks. Some of these state of the art methods are considered as a standard benchmark when comparing various active learn…
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Hi
I am a research assistant and I have been working on deep bayesian active learning for the past few weeks. I have been using pytorch and custom active learning classes so far, and i just found o…
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In file Active-Learning-Bayesian-Convolutional-Neural-Networks/ConvNets/active_learning/BCNN_cifar10.py , the architecture of the model is still a CNN, rather than a BCNN. Besides, the training method…
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* Add more details on BaaL BALD
* We need some extra information on Bayesian Active Learning
* Step-by-step introduction
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**Submitting author:** @MicroPhen (Stephan Noack)
**Repository:** https://github.com/JuBiotech/peak-performance/
**Branch with paper.md** (empty if default branch): peak-performance-paper
**Version:**…
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**Describe the solution you'd like**
It would be nice to have an option for self-training. Self-training is related to active learning but gets labels for queries based on its predictions instead of …
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An error occurred while running the sample code. How can I resolve it?
## Read Bayesian network object
true_bn
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The paper is neat and novel compared to active learning, which only focuses on the unlabeled scenario. However, I cannot understand the Bayesian process. In my understanding, it should be:
Thank …
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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**Submitting author:** @twj8CDC (Jacob Tiegs)
**Repository:** https://github.com/CDCgov/BART-Survival
**Branch with paper.md** (empty if default branch):
**Version:** v0.1.1
**Editor:** @mahfuz05062
…