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02/20/2023
NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition
Neural networks have shown great potential in accelerating the solution ...
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08/25/2022
Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization
Post-training quantization (PTQ) attracts increasing attention due to it...
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02/14/2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Quantization of deep neural networks (DNN) has been proven effective for...
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08/06/2021
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
Architecture performance predictors have been widely used in neural arch...
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06/10/2020
