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02/29/2020
Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization
As deep neural networks make their ways into different domains, their co...
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01/23/2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Achieving faster execution with shorter compilation time can foster furt...
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06/14/2019
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks
The deep layers of modern neural networks extract a rather rich set of f...
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05/30/2019
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation
Achieving faster execution with shorter compilation time can enable furt...
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05/04/2019
SinReQ: Generalized Sinusoidal Regularization for Automatic Low-Bitwidth Deep Quantized Training
Quantization of neural networks offers significant promise in reducing t...
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11/05/2018
