neural network architecture

SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017 The Predictron: End-To-End Learning and Planning ICML 2017 Convolutional Neural Fabrics NeurIPS 2016 Dynamic Capacity Networks ICML 2016 Improved relation classification by deep recurrent neural networks with data augmentation COLING 2016 Learning the Number of Neurons in Deep Networks NeurIPS 2016 Tensor Switching Networks NeurIPS 2016 Volumetric and Multi-View CNNs for Object Classification on 3D Data CVPR 2016 Convolutional Neural Networks at Constrained Time Cost CVPR 2015 DeepBox: Learning Objectness With Convolutional Networks ICCV 2015 Gated Feedback Recurrent Neural Networks ICML 2015 Gradient-based Hyperparameter Optimization through Reversible Learning ICML 2015 Learning The Structure of Deep Convolutional Networks ICCV 2015 Spatial Transformer Networks NeurIPS 2015 Avoiding pathologies in very deep networks AISTATS 2014 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003