model compression

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors CVPR 2017 SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017 Structured Bayesian Pruning via Log-Normal Multiplicative Noise NeurIPS 2017 Towards Accurate Binary Convolutional Neural Network NeurIPS 2017 Towards Compact and Fast Neural Machine Translation Using a Combined Method EMNLP 2017 Training Quantized Nets: A Deeper Understanding NeurIPS 2017 Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages Interspeech 2017 Unfolding and Shrinking Neural Machine Translation Ensembles EMNLP 2017 Variational Dropout Sparsifies Deep Neural Networks ICML 2017 Weighted-Entropy-Based Quantization for Deep Neural Networks CVPR 2017 ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning ICML 2017 Binarized Neural Networks NeurIPS 2016 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NeurIPS 2016 Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016 Dynamic Network Surgery for Efficient DNNs NeurIPS 2016 Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices Interspeech 2016 Fast ConvNets Using Group-Wise Brain Damage CVPR 2016 Fixed Point Quantization of Deep Convolutional Networks ICML 2016 Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant COLING 2016 Learning Structured Sparsity in Deep Neural Networks NeurIPS 2016 Learning Succinct Models: Pipelined Compression with L1-Regularization, Hashing, Elias-Fano Indices, and Quantization COLING 2016 Learning the Number of Neurons in Deep Networks NeurIPS 2016 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks NeurIPS 2016 Memory-Efficient Modeling and Search Techniques for Hardware ASR Decoders Interspeech 2016 Model Compression Applied to Small-Footprint Keyword Spotting Interspeech 2016