머신러닝/[논문] Distilling Knowledge from Graph Convolutional Networks [CVPR '20] Now Hyun 2021. 1. 9. 00:00 CVPR 20년도에 발표된 'Distilling Knowledge from Graph Convolutional Networks' 에 대한 발표자료입니다. DistillingKnowledgeFromGraphConvolutionalNetworks(2020).pdf 2.42MB 공유하기 게시글 관리 생각정리 저작자표시 '머신러닝 > [논문]' 카테고리의 다른 글 Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution [KDD'18] (0) 2021.02.04 How powerful are Graph Neural Networks [ICLR '19] (0) 2020.10.26 Shallow-Deep Networks: Understanding and Mitigating Network Overthinking [ICMR '19] (0) 2020.09.26 BERT: Pretraining of Deep Bidirectional Transformers for Language Understanding [NAACL '19] (0) 2020.09.10 Google's Neural Machine Translation System (0) 2020.09.01 '머신러닝/[논문]' Related Articles Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution [KDD'18] How powerful are Graph Neural Networks [ICLR '19] Shallow-Deep Networks: Understanding and Mitigating Network Overthinking [ICMR '19] BERT: Pretraining of Deep Bidirectional Transformers for Language Understanding [NAACL '19]