All Questions
Tagged with bayesian-deep-learning uncertainty-quantification
7 questions
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Predicting Values with Bayesian Neural Network
I want to use a Bayesian Neural Network for a regression task.
To do that I converted a BNN from this paper to Python 3. The provided training script runs and I receive a pickle file, which I want to ...
1
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1
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What does AUSE metric mean in uncertainty estimation
I am reading the paper "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", I do not understand the definition of AUSE metric in this sentence "but only in ...
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Does MobileNet SSD v2 only capture aleatoric uncertainty (and so not the epistemic one)?
Regarding the MobileNet SSD v2 model, I was wondering to what extend it captures uncertainty of the predictions.
There are 2 types of uncertainty, data uncertainty (aleatoric) and model uncertainty (...
3
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Why does this formula $\sigma^2 + \frac{1}{T}\sum_{t=1}^Tf^{\hat{W_t}}(x)^Tf^{\hat{W_t}}(x_t)-E(y)^TE(y)$ approximate the variance?
How does:
$$\text{Var}(y) \approx \sigma^2 + \frac{1}{T}\sum_{t=1}^Tf^{\hat{W_t}}(x)^Tf^{\hat{W_t}}(x_t)-E(y)^TE(y)$$
approximate variance?
I'm currently reading What Uncertainties Do We Need in ...
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2
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Why is my Keras prediction always close to 100% for one image class?
I am using Keras (on top of TF 2.3) to train an image classifier. In some cases I have more than two classes, but often there are just two classes (either "good" or "bad"). I am ...
4
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1
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Is there any research on models that provide uncertainty estimation?
Is there any research on machine learning models that provide uncertainty estimation?
If I train a denoising autoencoder on words and put through a noised word, I'd like it to return a certainty that ...
37
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6
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Why do CNN's sometimes make highly confident mistakes, and how can one combat this problem?
I trained a simple CNN on the MNIST database of handwritten digits to 99% accuracy. I'm feeding in a bunch of handwritten digits, and non-digits from a document.
I want the CNN to report errors, so I ...