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01/30/2023
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
For effective and efficient deep neural network inference, it is desirab...
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02/21/2019
Learned Step Size Quantization
We present here Learned Step Size Quantization, a method for training de...
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09/25/2018
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing
Low precision networks in the reinforcement learning (RL) setting are re...
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09/11/2018
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
To realize the promise of ubiquitous embedded deep network inference, it...
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03/28/2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Deep networks are now able to achieve human-level performance on a broad...
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09/24/2015
