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A2Q: Aggregation-Aware Quantization for Graph Neural Networks.

, , , , , , , и . CoRR, (2023)

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Qinghao Zheng

Jun Hu

Ruguo Hu

Zaijun Hu

Bing Hu

 

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Shoot to Know What: An Application of Deep Networks on Mobile Devices., , , и . AAAI, стр. 4399-4400. AAAI Press, (2016)MCUNeRF: Packing NeRF into an MCU with 1MB Memory., , , , и . ACM Multimedia, стр. 9082-9092. ACM, (2023)Training Binary Weight Networks via Semi-Binary Decomposition., , , , и . ECCV (13), том 11217 из Lecture Notes in Computer Science, стр. 657-673. Springer, (2018)A2Q: Aggregation-Aware Quantization for Graph Neural Networks., , , , , , , и . CoRR, (2023)Generative Zero-Shot Network Quantization., , , , , и . CVPR Workshops, стр. 3000-3011. Computer Vision Foundation / IEEE, (2021)MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization., , , , , , , и . CoRR, (2023)Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs., , , , и . ASPLOS (2), стр. 457-472. ACM, (2023)FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices., , , , , , , и . WWW, стр. 2902-2913. ACM, (2024)Two-Step Quantization for Low-Bit Neural Networks., , , , , и . CVPR, стр. 4376-4384. Computer Vision Foundation / IEEE Computer Society, (2018)AirFace: Lightweight and Efficient Model for Face Recognition, , , и . (2019)cite arxiv:1907.12256.