1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2021
AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators
Qing Wan, Siu Wun Cheung, Yoonsuck Choe
Adjoint operators have been found to be effective in the exploration of CNN's inner workings [1]. However, the previous no-bias assumption restricted its generalization. We overcom…
cs.CV2020
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators
Qing Wan, Yoonsuck Choe
There are several effective methods in explaining the inner workings of convolutional neural networks (CNNs). However, in general, finding the inverse of the function performed by…
cs.CL2020★ 1 cited
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model
Qing Wan, Yoonsuck Choe
Consider a natural language sentence describing a specific step in a food recipe. In such instructions, recognizing actions (such as press, bake, etc.) and the resulting changes in…