Deep Learning Publication Navigator - subtopic: sparsity


Year TitleAuthor
2017   The power of sparsity in convolutional neural networks  S Changpinyo, M Sandler, A Zhmoginov
2017   Stable recovery of the factors from a deep matrix product and application to convolutional networks. Focus on sparsity constraints  F Malgouyres, J Landsberg
2017   Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks  M Rhu, M O'Connor, N Chatterjee, J Pool, SW Keckler
2016   DropConnect Regularization Method with Sparsity Constraint for Neural Networks  L Zifeng, J Xiaojun, W Xiaohan, H Hai, TAN Youheng
2016   Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity  V Athavale, S Bharadwaj, M Pamecha, A Prabhu
2016   Phonetic and phonological posterior search space hashing exploiting classspecific sparsity structures  A Asaei, G Luyet, M Cernak, H Bourlard
2016   Class Sparsity Signature based Restricted Boltzmann Machines  A Sankaran, G Goswami, M Vatsa, R Singh
2016   Learning with sparsity and scattering networks  MX Chen
2016   Accelerating Deep Convolutional Networks using low-precision and sparsity  G Venkatesh, E Nurvitadhi, D Marr
2016   On Structured Sparsity of Phonological Posteriors for Linguistic Parsing  M Cernak, A Asaei, H Bourlard
2016   Learning Structured Sparsity in Deep Neural Networks  W Wen, C Wu, Y Wang, Y Chen, H Li
2016   Quantized Posterior Hashing: Efficient Posterior Exemplar Search Exploiting Class-Specific Sparsity Structures  A Asaei, G Luyet, M Cernak, H Bourlard
2016   Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters  Z Wang, L Zhang, Y Yang, J Zhou, GB Giannakis
2015   Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain …  J Kim, VD Calhoun, E Shim, JH Lee
2015   Analysis of Different Sparsity Methods in Constrained RBM for Sparse Representation in Cognitive Robotic Perception  Z Cui, SS Ge, Z Cao, J Yang, H Ren
2015   Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation  T Hope, A Wagner, O Zuk
2015   Supervised descent method with low rank and sparsity constraints for robust face alignment  Y Sun, B Hu, J Deng, X Li
2014   Regularized Hierarchical Feature Learning with Non-Negative Sparsity and Selectivity for Image Classification  B Liu, J Liu, X Bai, H Lu