ImageNetV2
conformal_classification
| ImageNetV2 | conformal_classification | |
|---|---|---|
| 1 | 2 | |
| 225 | 211 | |
| 0.9% | - | |
| 2.1 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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ImageNetV2
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Assignment 2 Part C.3 - Which Dataset?
Part C.3 seems to expect us the use the ImageNet dataset, but ImageNet is not publicly available anymore - it can only be downloaded from here: http://image-net.org/download-images, and you need to sign up for it. What dataset are we expected to use for the question then - would using ImageNetV2 (https://github.com/modestyachts/ImageNetV2) be fine? Would it be okay to split this up into a train set and test set (with the test set having a length of 128 as requested in the question), and use the test set for evaluation and the train set for retraining our modified AlexNet model?
conformal_classification
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[P] 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification
What is the best end-to-end example showing it? https://github.com/awslabs/fortuna/blob/main/examples/mnist_classification.ipynb ? It would be nice to have some visual explainer, as in https://github.com/aangelopoulos/conformal_classification .
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[R] Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - Link to a free online lecture by the author in comments
​Uncertainty Sets for Image Classifiers using Conformal Prediction https://arxiv.org/abs/2009.14193 https://github.com/aangelopoulos/conformal_classification
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