Dataset Groups Activity Stream Interpretable Neural Network Decoupling The proposed neural network decoupling approach enables a network to adaptively select a suitable subset of filters to form a calculation path for each input. BibTex: @dataset{Yuchao_Li_and_Rongrong_Ji_and_Shaohui_Lin_and_Baochang_Zhang_and_Chenqian_Yan_and_Yongjian_Wu_and_Feiyue_Huang_and_Ling_Shao_2024, abstract = {The proposed neural network decoupling approach enables a network to adaptively select a suitable subset of filters to form a calculation path for each input.}, author = {Yuchao Li and Rongrong Ji and Shaohui Lin and Baochang Zhang and Chenqian Yan and Yongjian Wu and Feiyue Huang and Ling Shao}, doi = {10.57702/p0pils2a}, institution = {No Organization}, keyword = {'calculation path', 'filter selection', 'interpretability', 'neural networks'}, month = {dec}, publisher = {TIB}, title = {Interpretable Neural Network Decoupling}, url = {https://service.tib.eu/ldmservice/dataset/interpretable-neural-network-decoupling}, year = {2024} }
