Zenodo (CERN European Organization for Nuclear Research) · 2018 · 40 citations · 0 references
ComputingComputer EngineeringComputer ScienceComputer VisionMachine LearningNatural Language ProcessingDeep LearningImage QuantizationLanguage ModelingNeural NetworksPattern RecognitionRepresentation LearningData SparsityNeural Language ModelsNeural Network QuantizationQuantizationQuantization NoiseRecurrent Neural NetworksSparsity ProblemWord Model
PyTorch 0.4 support An implementation of Baidu's RNN pruning paper from ICLR 2017 Narang, Sharan & Diamos, Gregory & Sengupta, Shubho & Elsen, Erich. (2017). <i>Exploring Sparsity in Recurrent Neural Networks</i>. (https://arxiv.org/abs/1704.05119) Add a word language model pruning example using AGP and Baidu RNN pruning Quantization aware training (4-bit quantization) New models: pre-activation ResNet for ImageNet and CIFAR, and AlexNet with batch-norm New quantization documentation content