Deep Learning Publication Navigator - subtopic: precision

Year TitleAuthor
2017   A study of reduced numerical precision to make superparametrisation more competitive using a hardware emulator in the OpenIFS model  PD Düben, A Subramanian, A Dawson, TN Palmer
2017   Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets  L Lu, Y Zheng, G Carneiro, L Yang
2017   Deep Learning with Low Precision by Half-wave Gaussian Quantization  Z Cai, X He, J Sun, N Vasconcelos
2017   Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs  A Milioto, P Lottes, C Stachniss
2017   SAFS: A deep feature selection approach for precision medicine  MZ Nezhad, D Zhu, X Li, K Yang, P Levy
2017   Financial Series Prediction: Comparison Between Precision of Time Series Models and Machine Learning Methods  XY Qian, S Gao
2017   Tartan: Accelerating Fully-Connected and Convolutional Layers in Deep Learning Networks by Exploiting Numerical Precision Variability  A Delmas, S Sharify, P Judd, A Moshovos
2017   Deep learning: from chemoinformatics to precision medicine  IW Kim, JM Oh
2017   Mixed Precision Training  P Micikevicius, S Narang, J Alben, G Diamos, E Elsen 
2017   Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.  L Oakden
2016   Recurrent Neural Networks With Limited Numerical Precision  J Ott, Z Lin, Y Zhang, SC Liu, Y Bengio
2016   End-to-end training of object class detectors for mean average precision  P Henderson, V Ferrari
2016   Protein function in precision medicine: deep understanding with machine learning  B Rost, P Radivojac, Y Bromberg
2016   Biologically inspired model simulating visual pathways and cerebellum function in human-Achieving visuomotor coordination and high precision movement with …  W Wu, H Qiao, J Chen, P Yin, Y Li
2016   Speeding up Convolutional Neural Network Training with Dynamic Precision Scaling and Flexible Multiplier-Accumulator  T Na, S Mukhopadhyay
2016   Object Recognition With Reduced Neural Network Weight Precision  Z JI, I Ovsiannikov, YM Wang, L Shi
2015   A Hardware-Efficient Sigmoid Function with Adjustable Precision for Neural Network System  CH Tsai, YT Chih, W Wong, CY Lee
2015   Deep Learning with Limited Numerical Precision  S Gupta, A Agrawal, K Gopalakrishnan, P Narayanan
2015   Reducing weight precision of convolutional neural networks towards large-scale on-chip image recognition  Z Ji, I Ovsiannikov, Y Wang, L Shi, Q Zhang
2015   Construction Method of Concept Lattice based on Improved Variable Precision Rough Set  R Zhang, S Xiong, Z Chen
2015   Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms  E Stromatias, D Neil, M Pfeiffer, F Galluppi, SB Furber
2014   Low precision arithmetic for deep learning  M Courbariaux, Y Bengio, JP David