Efficient Computing

OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU ACL 2018 OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models ACL 2018 Optimizing Video Object Detection via a Scale-Time Lattice CVPR 2018 Parallelizing Linear Recurrent Neural Nets Over Sequence Length ICLR 2018 Pelee: A Real-Time Object Detection System on Mobile Devices NeurIPS 2018 Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference CVPR 2018 Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks CVPR 2018 Recurrent Residual Module for Fast Inference in Videos CVPR 2018 Revisiting Character-Based Neural Machine Translation with Capacity and Compression EMNLP 2018 R-FCN-3000 at 30fps: Decoupling Detection and Classification CVPR 2018 SBNet: Sparse Blocks Network for Fast Inference CVPR 2018 Scaling Neural Machine Translation EMNLP 2018 Seeing Small Faces From Robust Anchor's Perspective CVPR 2018 Self-Governing Neural Networks for On-Device Short Text Classification EMNLP 2018 Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions CVPR 2018 Simple Recurrent Units for Highly Parallelizable Recurrence EMNLP 2018 Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks EMNLP 2018 Snap ML: A Hierarchical Framework for Machine Learning NeurIPS 2018 Spatially-Adaptive Filter Units for Deep Neural Networks CVPR 2018 Speeding Up Neural Machine Translation Decoding by Cube Pruning EMNLP 2018 Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks CVPR 2018 Temporal Noise Shaping with Companding Interspeech 2018 Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization CVPR 2018 Training Deep Neural Networks with 8-bit Floating Point Numbers NeurIPS 2018 Training DNNs with Hybrid Block Floating Point NeurIPS 2018