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Model Compression

1674 directly classified papers

Papers per year

Papers

Towards Compact and Fast Neural Machine Translation Using a Combined Method EMNLP 2017
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks NIPS 2017
Weighted-Entropy-Based Quantization for Deep Neural Networks CVPR 2017
Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Learning Structured Sparsity in Deep Neural Networks NIPS 2016
Sparsifying Neural Network Connections for Face Recognition CVPR 2016
Fixed Point Quantization of Deep Convolutional Networks ICML 2016
Dynamic Network Surgery for Efficient DNNs NIPS 2016
Fast ConvNets Using Group-Wise Brain Damage CVPR 2016
On the Efficient Representation and Execution of Deep Acoustic Models INTERSPEECH 2016
Learning the Number of Neurons in Deep Networks NIPS 2016
Sparse Convolutional Neural Networks CVPR 2015
Structured Transforms for Small-Footprint Deep Learning NIPS 2015
Learning both Weights and Connections for Efficient Neural Network NIPS 2015
Sparse Projections for High-Dimensional Binary Codes CVPR 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations NIPS 2015
Scalable Object Detection by Filter Compression With Regularized Sparse Coding CVPR 2015
Tensorizing Neural Networks NIPS 2015
Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation NIPS 2014
Learning Separable Filters CVPR 2013
Predicting Parameters in Deep Learning NIPS 2013
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012