Efficient Computing

Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU EMNLP 2017 Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes CVPR 2017 Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors CVPR 2017 SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks NeurIPS 2017 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning NeurIPS 2017 The Reversible Residual Network: Backpropagation Without Storing Activations NeurIPS 2017 Towards Accurate Binary Convolutional Neural Network NeurIPS 2017 Xception: Deep Learning With Depthwise Separable Convolutions CVPR 2017 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NeurIPS 2016 Efficient Indexing of Billion-Scale Datasets of Deep Descriptors CVPR 2016 Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU CVPR 2016 Fast Algorithms for Convolutional Neural Networks CVPR 2016 FPNN: Field Probing Neural Networks for 3D Data NeurIPS 2016 Learning Sensor Multiplexing Design through Back-propagation NeurIPS 2016 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks NeurIPS 2016 Maximal Sparsity with Deep Networks? NeurIPS 2016 Memory-Efficient Backpropagation Through Time NeurIPS 2016 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016 Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NeurIPS 2016 Rethinking the Inception Architecture for Computer Vision CVPR 2016 Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NeurIPS 2016 Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NeurIPS 2016 Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NeurIPS 2016 A Dynamic Convolutional Layer for Short Range Weather Prediction CVPR 2015 BinaryConnect: Training Deep Neural Networks with binary weights during propagations NeurIPS 2015