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03/14/2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Pruning is a promising approach to compress deep learning models in orde...
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01/22/2022
Iterative Activation-based Structured Pruning
Deploying complex deep learning models on edge devices is challenging be...
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01/21/2022
Adaptive Activation-based Structured Pruning
Pruning is a promising approach to compress complex deep learning models...
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03/27/2021
Automated Backend-Aware Post-Training Quantization
Quantization is a key technique to reduce the resource requirement and i...
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01/21/2021
UNIT: Unifying Tensorized Instruction Compilation
Because of the increasing demand for computation in DNN, researchers dev...
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06/18/2020
Efficient Execution of Quantized Deep Learning Models: A Compiler Approach
A growing number of applications implement predictive functions using de...
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