
Embedding Compression with Isotropic Iterative Quantization
Continuous representation of words is a standard component in deep learn...
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MissionAware SpatioTemporal Deep Learning Model for UAS Instantaneous Density Prediction
The number of daily sUAS operations in uncontrolled low altitude airspac...
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CirCNN: Accelerating and Compressing Deep Neural Networks Using BlockCirculantWeight Matrices
Largescale deep neural networks (DNNs) are both compute and memory inte...
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HardwareDriven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks
Recently, Deep Convolutional Neural Networks (DCNNs) have made unprecede...
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SCDCNN: HighlyScalable Deep Convolutional Neural Network using Stochastic Computing
With recent advancing of Internet of Things (IoTs), it becomes very attr...
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Towards UltraHigh Performance and Energy Efficiency of Deep Learning Systems: An AlgorithmHardware CoOptimization Framework
Hardware accelerations of deep learning systems have been extensively in...
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Efficient Recurrent Neural Networks using Structured Matrices in FPGAs
Recurrent Neural Networks (RNNs) are becoming increasingly important for...
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C3PO: Database and Benchmark for Earlystage Malicious Activity Detection in 3D Printing
Increasing malicious users have sought practices to leverage 3D printing...
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Learning Topics using Semantic Locality
The topic modeling discovers the latent topic probability of the given t...
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Towards BudgetDriven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing
Recently, Deep Convolutional Neural Network (DCNN) has achieved tremendo...
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ERNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs
Recurrent Neural Networks (RNNs) are becoming increasingly important for...
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CircConv: A Structured Convolution with Low Complexity
Deep neural networks (DNNs), especially deep convolutional neural networ...
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CLSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs
Recently, significant accuracy improvement has been achieved for acousti...
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HighLevel Plan for Behavioral Robot Navigation with Natural Language Directions and RNET
When the navigational environment is known, it can be represented as a g...
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Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
The recent discovered spatialtemporal information processing capability...
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GISNet: GraphBased Information Sharing Network For Vehicle Trajectory Prediction
The trajectory prediction is a critical and challenging problem in the d...
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Simulation of Realtime Routing for UAS traffic Management with Communication and Airspace Safety Considerations
Small Unmanned Aircraft Systems (sUAS) will be an important component of...
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