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09/05/2023
OHQ: On-chip Hardware-aware Quantization
Quantization emerges as one of the most promising approaches for deployi...
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06/22/2023
Joint Chance-constrained Game for Coordinating Microgrids in Energy and Reserve Markets: A Bayesian Optimization Approach
Microgrids incorporate distributed energy resources (DERs) and flexible ...
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03/25/2023
Towards Accurate Post-Training Quantization for Vision Transformer
Vision transformer emerges as a potential architecture for vision tasks....
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09/25/2021
Distribution-sensitive Information Retention for Accurate Binary Neural Network
Model binarization is an effective method of compressing neural networks...
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09/01/2021
Diverse Sample Generation: Pushing the Limit of Data-free Quantization
Recently, generative data-free quantization emerges as a practical appro...
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03/10/2021
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Few-shot learning is an interesting and challenging study, which enables...
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03/01/2021
Diversifying Sample Generation for Accurate Data-Free Quantization
Quantization has emerged as one of the most prevalent approaches to comp...
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03/01/2021
