Deep-Bayesian-Active-Learning
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Riashat
Code for Deep Bayesian Active Learning (ICML 2017)
Hi, in the paper, you make a proof that when T goes to infinity, the estimate of conditional mutual information approaches to the real value of conditional mutual information of...
Hi, in Dropout_Bald_Q10_N1000_Paper.py, line 226 and 228, the program will test training data in pool dropout_iterations times. If the whole training set is very large (i.e. training data in pool...
Hi, I have read your paper and code. In file Dropout_Bald_Q10_N1000_Paper.py, it seems that your model is a CNN in Keras, but in your paper, the model is a BCNN...
Your work looks very interesting. Can you provide a cheat sheet showing how to run examples? Thanks, Jay Urbain
I am having problems to understand deterministic Var Ratios and deterministic BALD acquisition functions... For example, in deterministic BALD, since the neural network is deterministic, is not the mutual information...
Hi, In Var Ratios and BALD acquisition functions you first randomly sample a subset (2000 points) of the pool set and then select the points that maximize either Var Ratios...