Speeding up Convolutional Neural Networks with Low Rank Expansions

British Machine Vision Conference (BMVC), 2014

15 May 2014

Max Jaderberg

Andrea Vedaldi

Andrew Zisserman

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Papers citing "Speeding up Convolutional Neural Networks with Low Rank Expansions"

50 / 667 papers shown

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Compressing Neural Language Models by Sparse Word RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2016

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Fast Training of Convolutional Neural Networks via Kernel Rescaling

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Gianluca Francini

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Manuel Amthor

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Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding

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Grid Loss: Detecting Occluded Faces

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Pruning Filters for Efficient ConvNets

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513

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Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure

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159

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Learning Structured Sparsity in Deep Neural Networks

Yiran Chen

530

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Clockwork Convnets for Video Semantic Segmentation

195

207

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OnionNet: Sharing Features in Cascaded Deep Classifiers

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N. Komodakis

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Faster CNNs with Direct Sparse Convolutions and Guided Pruning

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399

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Supervised Transformer Network for Efficient Face Detection

149

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Compression of Neural Machine Translation Models via PruningConference on Computational Natural Language Learning (CoNLL), 2016

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Christopher D. Manning

MedIm VLM

146

224

29 Jun 2016

Scene Text Detection via Holistic, Multi-Channel Prediction

Shuchang Zhou

118

221

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Sequence-Level Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP), 2016

Yoon Kim

Alexander M. Rush

482

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Deep Learning Markov Random Field for Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016

222

168

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DecomposeMe: Simplifying ConvNets for End-to-End Learning

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126

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Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks

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A. Mishra

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242

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Convolution by Evolution: Differentiable Pattern Producing NetworksAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2016

431

104

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Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

303

286

20 May 2016

Efficient Optimization for Rank-based Loss Functions

291

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Refining Architectures of Deep Convolutional Neural Networks

165

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Binarized Neural Networks on the ImageNet Classification Task

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Yong Wu

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353

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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

652

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EIE: Efficient Inference Engine on Compressed Deep Neural Network

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380

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A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

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183

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Exploiting Local Structures with the Kronecker Layer in Convolutional Networks

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719

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Quantized Convolutional Neural Networks for Mobile Devices

424

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Sparsifying Neural Network Connections for Face Recognition

133

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Dynamic Capacity Networks

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529

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Training CNNs with Low-Rank Filters for Efficient Image Classification

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259

155

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Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

291

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Convolutional neural networks with low-rank regularization

265

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Learning Neural Network Architectures using Backpropagation

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FireCaffe: near-linear acceleration of deep neural network training on compute clusters

362

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Compression of Deep Neural Networks on the Fly

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From Facial Parts Responses to Face Detection: A Deep Learning Approach

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Semantic Image Segmentation via Deep Parsing Network

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Multilinear Map Layer: Prediction Regularization by Structural Constraint

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Mapping Auto-context Decision Forests to Deep ConvNets for Semantic SegmentationBritish Machine Vision Conference (BMVC), 2015

264

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Data-free parameter pruning for Deep Neural NetworksBritish Machine Vision Conference (BMVC), 2015

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R. Venkatesh Babu

3DPC

251

568

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Compression of Fully-Connected Layer in Neural Network by Kronecker ProductInternational Conference on Advanced Computational Intelligence (ICACI), 2015

Shuchang Zhou

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171

21 Jul 2015