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AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators
Adjoint operators have been found to be effective in the exploration of CNN's inner workings [1].
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators
There are several effective methods in explaining the inner workings of convolutional neural networks (CNNs).
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model
One way to cope with this challenge is to explicitly model a simulator module that applies actions to entities and predicts the resulting outcome (Bosselut et al. 2018).
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