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20182026
most citedAn Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation

19 citations · 25 across the 7 of their papers we have counts for

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cs.LG2018★ 1 cited

BayesGrad: Explaining Predictions of Graph Convolutional Networks

Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu +4

Recent advances in graph convolutional networks have significantly improved the performance of chemical predictions, raising a new research question: "how do we explain the predict…