← Application Areas
Machine Learning › Application Areas ›

Efficient Computing

6876 directly classified papers

Papers per year

Papers

Efficient Indexing of Billion-Scale Datasets of Deep Descriptors CVPR 2016
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks NIPS 2016
Improving English Conversational Telephone Speech Recognition INTERSPEECH 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network CVPR 2016
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels CVPR 2016
Binarized Neural Networks NIPS 2016
ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements CVPR 2016
Learning Sensor Multiplexing Design through Back-propagation NIPS 2016
Memory-Efficient Backpropagation Through Time NIPS 2016
Learning the Number of Neurons in Deep Networks NIPS 2016
Learning Structured Sparsity in Deep Neural Networks NIPS 2016
Real-Time Action Recognition With Enhanced Motion Vector CNNs CVPR 2016
Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NIPS 2016
Efficient Large-Scale Similarity Search Using Matrix Factorization CVPR 2016
Rethinking the Inception Architecture for Computer Vision CVPR 2016
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NIPS 2016
Pruning Random Forests for Prediction on a Budget NIPS 2016
Simple and Efficient Weighted Minwise Hashing NIPS 2016
Memory-Efficient Modeling and Search Techniques for Hardware ASR Decoders INTERSPEECH 2016
Fast Algorithms for Convolutional Neural Networks CVPR 2016
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Dynamic Network Surgery for Efficient DNNs NIPS 2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NIPS 2016
A Communication-Efficient Parallel Algorithm for Decision Tree NIPS 2016