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Found 6 papers, 4 papers with code
Subgroup Discovery in Unstructured Data
Subgroup discovery is a descriptive and exploratory data mining technique to identify subgroups in a population that exhibit interesting behavior with respect to a variable of interest.
An Interactive Visualization Tool for Understanding Active Learning
Despite recent progress in artificial intelligence and machine learning, many state-of-the-art methods suffer from a lack of explainability and transparency.
Neural Disjunctive Normal Form: Vertically Integrating Logic With Deep Learning For Classification
We present Neural Disjunctive Normal Form (Neural DNF), a hybrid neuro- symbolic classifier that vertically integrates propositional logic with a deep neural network.
An Active Approach for Model Interpretation
However, we argue that this paradigm is suboptimal for it does not utilize the unique property of the model interpretation problem, that is, the ability to generate synthetic instances and query the target classifier for their labels.
Checking Functional Modularity in DNN By Biclustering Task-specific Hidden Neurons
While real brain networks exhibit functional modularity, we investigate whether functional mod- ularity also exists in Deep Neural Networks (DNN) trained through back-propagation.
Revisit Recurrent Attention Model from an Active Sampling Perspective
We revisit the Recurrent Attention Model (RAM, Mnih et al. (2014)), a recurrent neural network for visual attention, from an active information sampling perspective.
