Deep neural networks compression: A comparative survey and choice recommendations

Sparse low rank factorization for deep neural network compression

(2020) Sridhar Swaminathan et al.   NEUROCOMPUTING

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

(2020) By Lei Deng et al.   PROCEEDINGS OF THE IEEE

Universal Deep Neural Network Compression

(2020) Yoojin Choi et al.   IEEE Journal of Selected Topics in Signal Processing

MobileGCN applied to low-dimensional node feature learning

(2020) Wei Dong et al.   PATTERN RECOGNITION

OUP accepted manuscript

(2018)   BIOINFORMATICS

ThiNet: Pruning CNN Filters for a Thinner Net

(2018) Jian-Hao Luo et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework

(2018) Lei Deng et al.   NEURAL NETWORKS

Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis

(2014) Jing Tang et al.   Journal of Chemical Information and Modeling

A structure optimisation algorithm for feedforward neural network construction

(2012) Hong-Gui Han et al.   NEUROCOMPUTING

Comprehensive analysis of kinase inhibitor selectivity

(2011) Mindy I Davis et al.   NATURE BIOTECHNOLOGY

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Decompositions of a Higher-Order Tensor in Block Terms—Part I: Lemmas for Partitioned Matrices

(2008) Lieven De Lathauwer   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS