Model Compression

A prototype finite-state morphological analyser for Chukchi COLING 2018 A Simple Cache Model for Image Recognition NeurIPS 2018 Bayesian Compression for Natural Language Processing EMNLP 2018 CNN Driven Sparse Multi-Level B-Spline Image Registration CVPR 2018 Compact Personalized Models for Neural Machine Translation EMNLP 2018 Compressing Word Embeddings via Deep Compositional Code Learning ICLR 2018 Compression of End-to-End Models Interspeech 2018 Deep Learning as a Mixed Convex-Combinatorial Optimization Problem ICLR 2018 Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution NeurIPS 2018 Discrimination-aware Channel Pruning for Deep Neural Networks NeurIPS 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 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 GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking NeurIPS 2018 Improving Deep Neural Network Sparsity through Decorrelation Regularization IJCAI 2018 KDGAN: Knowledge Distillation with Generative Adversarial Networks NeurIPS 2018 “Learning-Compression” Algorithms for Neural Net Pruning CVPR 2018 Learning Discrete Weights Using the Local Reparameterization Trick ICLR 2018 Learning Intrinsic Sparse Structures within Long Short-Term Memory ICLR 2018 Learning Sparse Neural Networks through L_0 Regularization ICLR 2018 Learning sparse neural networks via sensitivity-driven regularization NeurIPS 2018 Loss-aware Weight Quantization of Deep Networks ICLR 2018 Marian: Cost-effective High-Quality Neural Machine Translation in C++ ACL 2018 Mobile Video Object Detection With Temporally-Aware Feature Maps CVPR 2018