notable paper

URI: https://gptkb.org/prop/notable_paper
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gptkb:Conference_on_Neural_Information_Processing_Systems_1991 Learning Representations by Back-Propagating Errors (Rumelhart, Hinton, Williams)
gptkb:Conference_on_Neural_Information_Processing_Systems_2014 gptkb:Dropout:_A_Simple_Way_to_Prevent_Neural_Networks_from_Overfitting
gptkb:Conference_on_Neural_Information_Processing_Systems_2015 gptkb:Variational_Autoencoder
gptkb:Graph_Convolutional_Network gptkb:Semi-Supervised_Classification_with_Graph_Convolutional_Networks
gptkb:Conference_on_Neural_Information_Processing_Systems_2014 gptkb:Generative_Adversarial_Nets
gptkb:Conference_on_Neural_Information_Processing_Systems_2014 gptkb:Adam:_A_Method_for_Stochastic_Optimization
gptkb:Graph_Convolutional_Networks gptkb:Semi-Supervised_Classification_with_Graph_Convolutional_Networks
gptkb:Conference_on_Neural_Information_Processing_Systems_1991 gptkb:A_Training_Algorithm_for_Optimal_Margin_Classifiers_(Cortes_&_Vapnik)
gptkb:Tohoku_Mathematical_Journal gptkb:Emmy_Noether's_1921_paper_on_ideal_theory
gptkb:Conference_on_Neural_Information_Processing_Systems_2015 gptkb:Deep_Residual_Learning_for_Image_Recognition
gptkb:Conference_on_Neural_Information_Processing_Systems_2015 gptkb:Batch_Normalization:_Accelerating_Deep_Network_Training_by_Reducing_Internal_Covariate_Shift
gptkb:Neural_Architecture_Search gptkb:Neural_Architecture_Search_with_Reinforcement_Learning_(Zoph_&_Le,_2017)