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PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators.

, , , , , , , , , , and . DAC, page 1-6. IEEE, (2020)

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An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing., , , , , , , and . ISQED, page 314-321. IEEE, (2018)An Extremely Simple Reinforcement Learning Rule for Neural Networks.. ISNN (1), volume 4491 of Lecture Notes in Computer Science, page 434-440. Springer, (2007)Saliency analysis based on multi-scale wavelet decomposition., , , and . ITSC, page 1977-1980. IEEE, (2013)Hardware-efficient stochastic rounding unit design for DNN training: late breaking results., , , , , , , , , and 2 other author(s). DAC, page 1396-1397. ACM, (2022)Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 3025-3039. PMLR, (2022)PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators., , , , , , , , , and 1 other author(s). DAC, page 1-6. IEEE, (2020)Modeling and Analyzing Switching Cost of Service., , , and . IITA, page 270-273. IEEE Computer Society, (2007)Algorithms for regret theory and group satisfaction degree under interval-valued dual hesitant fuzzy sets in stochastic multiple attribute decision making method., , , , and . J. Intell. Fuzzy Syst., 37 (3): 3639-3653 (2019)A New Fusion Approach for Extracting Urban Built-up Areas from Multisource Remotely Sensed Data., , , and . Remote. Sens., 11 (21): 2516 (2019)Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation., , , , , , , , and . CoRR, (2019)