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FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning.

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Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation., , , и . CoRR, (2020)Efficient Residue Number System Based Winograd Convolution., и . ECCV (19), том 12364 из Lecture Notes in Computer Science, стр. 53-68. Springer, (2020)Mobile Machine Learning Hardware at ARM: A Systems-on-Chip (SoC) Perspective., , и . CoRR, (2018)UDC: Unified DNAS for Compressible TinyML Models., , , , , и . CoRR, (2022)Measuring scheduling efficiency of RNNs for NLP applications., , , и . CoRR, (2019)Information contraction in noisy binary neural networks and its implications., , , и . CoRR, (2021)On the effects of quantisation on model uncertainty in Bayesian neural networks., , , и . UAI, том 161 из Proceedings of Machine Learning Research, стр. 929-938. AUAI Press, (2021)Tarantula: A Vector Extension to the Alpha Architecture., , , , , , , , , и 1 other автор(ы). ISCA, стр. 281-292. IEEE Computer Society, (2002)Design Principles for Lifelong Learning AI Accelerators., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications., , и . SysML, mlsys.org, (2019)