model compression

CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization CVPR 2018 Compact Personalized Models for Neural Machine Translation EMNLP 2018 Compressing End-to-end ASR Networks by Tensor-Train Decomposition Interspeech 2018 Compressing Word Embeddings via Deep Compositional Code Learning ICLR 2018 Compression of End-to-End Models Interspeech 2018 CondenseNet: An Efficient DenseNet Using Learned Group Convolutions CVPR 2018 Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics IJCAI 2018 DCFNet: Deep Neural Network with Decomposed Convolutional Filters ICML 2018 Deep Discrete Prototype Multilabel Learning IJCAI 2018 Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions ICML 2018 Deep Mutual Learning CVPR 2018 Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution NeurIPS 2018 Deterministic Binary Filters for Convolutional Neural Networks IJCAI 2018 Discrimination-aware Channel Pruning for Deep Neural Networks NeurIPS 2018 Distilling Knowledge for Search-based Structured Prediction ACL 2018 Does Tail Label Help for Large-Scale Multi-Label Learning IJCAI 2018 Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices IJCAI 2018 Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error IJCAI 2018 Espresso: Efficient Forward Propagation for Binary Deep Neural Networks ICLR 2018 Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks CVPR 2018 FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network NeurIPS 2018 Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NeurIPS 2018 GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking NeurIPS 2018 Heterogeneous Bitwidth Binarization in Convolutional Neural Networks NeurIPS 2018 HitNet: Hybrid Ternary Recurrent Neural Network NeurIPS 2018