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ViTframe: Vision Transformer Acceleration via Informative Frame Selection for Video Recognition.

, , , and . ICCD, page 383-390. IEEE, (2023)

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A Process-Variation-Tolerant Floating-Point Unit with Voltage Interpolation and Variable Latency., , and . ISSCC, page 404-405. IEEE, (2008)Selective Detection and Segmentation of Cervical Cells., , , , , and . ICBBT, page 55-61. ACM, (2019)Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators., , , , , , and . ICCAD, page 50. ACM, (2018)A Hint Frequency Based Approach to Enhancing the I/O Performance of Multilevel Cache Storage Systems., , , , , , and . J. Comput. Sci. Technol., 32 (2): 312-328 (2017)ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar-Based Deep Neural-Network Accelerator., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 40 (1): 129-142 (2021)RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators., , and . ICCD, page 158-165. IEEE, (2023)Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology., , , and . MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 571-580. Springer, (2021)$A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks., , , , , , , and . ICLR, OpenReview.net, (2023)Leveraging the core-level complementary effects of PVT variations to reduce timing emergencies in multi-core processors., , , and . ISCA, page 485-496. ACM, (2010)Towards sustainable in-situ server systems in the big data era., , , , , , , and . ISCA, page 14-26. ACM, (2015)