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FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization.

, , , , , , , and . FPGA, page 134-145. ACM, (2022)

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Adversarial T-Shirt! Evading Person Detectors in a Physical World., , , , , , , , and . ECCV (5), volume 12350 of Lecture Notes in Computer Science, page 665-681. Springer, (2020)From Post to Values: Mining Schwartz Values of Individuals from Social Media., , , and . SMP, volume 489 of Communications in Computer and Information Science, page 206-219. Springer, (2014)Hardware-efficient stochastic rounding unit design for DNN training: late breaking results., , , , , , , , , and 2 other author(s). DAC, page 1396-1397. ACM, (2022)ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models., , , and . LREC/COLING, page 3146-3152. ELRA and ICCL, (2024)Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression., , , , , , and . FCCM, page 1. IEEE, (2022)Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications., , , , , , , , and . ASP-DAC, page 581-586. ACM, (2021)FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization., , , , , , , and . FPGA, page 134-145. ACM, (2022)Continual Few-shot Event Detection via Hierarchical Augmentation Networks., , , , , , and . LREC/COLING, page 3868-3880. ELRA and ICCL, (2024)Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework., , , , , , , , , and 2 other author(s). RTAS, page 493-496. IEEE, (2021)ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training., , , , , , , , , and 2 other author(s). DATE, page 1-6. IEEE, (2023)