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network architecture

142 papers

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neural architecture search (665) convolutional neural network (4216) model compression (3283) image classification (1943) neural network (6616) neural network architecture (362) neural network optimization (1293) representation learning (6174) architecture optimization (64) differentiable architecture search (44)

Papers

Active Convolution: Learning the Shape of Convolution for Image Classification CVPR 2017
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks CVPR 2017
A graph-theoretic approach to multitasking NIPS 2017
Comparing Character-level Neural Language Models Using a Lexical Decision Task EACL 2017
Aggregated Residual Transformations for Deep Neural Networks CVPR 2017
More Is Less: A More Complicated Network With Less Inference Complexity 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
Deep Gate Recurrent Neural Network ACML 2016
Optimal Architectures in a Solvable Model of Deep Networks NIPS 2016
Blockout: Dynamic Model Selection for Hierarchical Deep Networks CVPR 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 NIPS 2015
Avoiding pathologies in very deep networks AISTATS 2014
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
Shallow vs. Deep Sum-Product Networks NIPS 2011