19 citations · 41 across the 9 of their papers we have counts for
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cs.LG2021★ 2 cited
Designing Counterfactual Generators using Deep Model Inversion
Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Deepta Rajan +3
Explanation techniques that synthesize small, interpretable changes to a given image while producing desired changes in the model prediction have become popular for introspecting b…
cs.LG2021★ 2 cited
Training Stacked Denoising Autoencoders for Representation Learning
Jason Liang, Keith Kelly
We implement stacked denoising autoencoders, a class of neural networks that are capable of learning powerful representations of high dimensional data. We describe stochastic gradi…