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Model Compression

1674 directly classified papers

Papers per year

Papers

Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NIPS 2018
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network NIPS 2018
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks NIPS 2018
Low-rank passthrough neural networks ACL 2018
Marian: Cost-effective High-Quality Neural Machine Translation in C++ ACL 2018
Learning Versatile Filters for Efficient Convolutional Neural Networks NIPS 2018
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks CVPR 2018
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition CVPR 2018
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018
StrassenNets: Deep Learning with a Multiplication Budget ICML 2018
Dropout as a Low-Rank Regularizer for Matrix Factorization AISTATS 2018
SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation IJCAI 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks IJCAI 2018
Network Approximation using Tensor Sketching IJCAI 2018
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions ICML 2018
Compressing Neural Networks using the Variational Information Bottleneck ICML 2018
WSNet: Compact and Efficient Networks Through Weight Sampling ICML 2018
Approximation Algorithms for Cascading Prediction Models ICML 2018
Wide Compression: Tensor Ring Nets CVPR 2018
NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions CVPR 2018
Interleaved Structured Sparse Convolutional Neural Networks CVPR 2018
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks CVPR 2018
Efficient Parametrization of Multi-Domain Deep Neural Networks CVPR 2018
HydraNets: Specialized Dynamic Architectures for Efficient Inference CVPR 2018