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A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Spiking Neural Network (SNN) has been recognized as one of the next gene...
06/13/2021 ∙ by Yuhang Li, et al. ∙
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Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method
State estimation with sensors is essential for mobile robots. Due to sen...
06/12/2021 ∙ by Yupeng Jia, et al. ∙
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Diversifying Sample Generation for Accurate Data-Free Quantization
Quantization has emerged as one of the most prevalent approaches to comp...
03/01/2021 ∙ by Xiangguo Zhang, et al. ∙
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BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
We study the challenging task of neural network quantization without end...
02/10/2021 ∙ by Yuhang Li, et al. ∙
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Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization
User data confidentiality protection is becoming a rising challenge in t...
11/19/2020 ∙ by Yuhang Li, et al. ∙
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DeepFacePencil: Creating Face Images from Freehand Sketches
In this paper, we explore the task of generating photo-realistic face im...
08/31/2020 ∙ by Yuhang Li, et al. ∙
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Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Network quantization has rapidly become one of the most widely used meth...
03/17/2020 ∙ by Yuhang Li, et al. ∙
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RTN: Reparameterized Ternary Network
To deploy deep neural networks on resource-limited devices, quantization...
12/04/2019 ∙ by Yuhang Li, et al. ∙
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LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network
In this paper, we explore the task of generating photo-realistic face im...
10/20/2019 ∙ by Yuhang Li, et al. ∙
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Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks
We proposed Additive Powers-of-Two (APoT) quantization, an efficient non...
09/28/2019 ∙ by Yuhang Li, et al. ∙
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