network architecture

Gradually Updated Neural Networks for Large-Scale Image Recognition ICML 2018 Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN CVPR 2018 Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks CVPR 2018 Mixed Link Networks IJCAI 2018 Modulated Convolutional Networks CVPR 2018 Motion Perception in Reinforcement Learning with Dynamic Objects CoRL 2018 Neural Architecture Optimization NeurIPS 2018 Practical Block-Wise Neural Network Architecture Generation CVPR 2018 Refine or Represent: Residual Networks with Explicit Channel-wise Configuration IJCAI 2018 Active Convolution: Learning the Shape of Convolution for Image Classification CVPR 2017 Aggregated Residual Transformations for Deep Neural Networks CVPR 2017 A graph-theoretic approach to multitasking NeurIPS 2017 Comparing Character-level Neural Language Models Using a Lexical Decision Task EACL 2017 Massive Exploration of Neural Machine Translation Architectures EMNLP 2017 More Is Less: A More Complicated Network With Less Inference Complexity CVPR 2017 PolyNet: A Pursuit of Structural Diversity in Very Deep Networks CVPR 2017 SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017 Analysis of Deep Neural Networks with Extended Data Jacobian Matrix ICML 2016 Blockout: Dynamic Model Selection for Hierarchical Deep Networks CVPR 2016 Deep Gate Recurrent Neural Network ACML 2016 Optimal Architectures in a Solvable Model of Deep Networks NeurIPS 2016 Rethinking the Inception Architecture for Computer Vision CVPR 2016 Convolutional Neural Networks at Constrained Time Cost CVPR 2015 Learning both Weights and Connections for Efficient Neural Network NeurIPS 2015 Avoiding pathologies in very deep networks AISTATS 2014