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Found 5 papers, 0 papers with code
Neural Event Extraction from Movies Description
We present a novel approach for event extraction and abstraction from movie descriptions.
Bit-Regularized Optimization of Neural Nets
Our key idea is to control the expressive power of the network by dynamically quantizing the range and set of values that the parameters can take.
BitNet: Bit-Regularized Deep Neural Networks
The parameters of neural networks are usually unconstrained and have a dynamic range dispersed over all real values.
GPU Activity Prediction using Representation Learning
GPU activity prediction is an important and complex problem.
Low Precision Neural Networks using Subband Decomposition
In this paper, we present a unique approach using lower precision weights for more efficient and faster training phase.
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