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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 ...
Lukas Scholz's user avatar
1 vote
1 answer
525 views

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 ...
TimothyShi's user avatar
1 vote
0 answers
38 views

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 (...
Baka's user avatar
  • 11
3 votes
0 answers
88 views

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 ...
user8714896's user avatar
1 vote
2 answers
1k views

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 ...
Matthias's user avatar
  • 165
4 votes
1 answer
128 views

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 ...
user8714896's user avatar
37 votes
6 answers
11k views

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 ...
Alexander Soare's user avatar