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BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization.

, , , , , , , , and . ACM Trans. Reconfigurable Technol. Syst., 14 (4): 18:1-18:28 (2021)

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Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy., , and . WACV, page 913-921. IEEE, (2019)Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack., , and . CoRR, (2018)MRIMA: An MRAM-Based In-Memory Accelerator., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (5): 1123-1136 (2020)SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network., , , , , , , , and . CoRR, (2021)Non-structured DNN Weight Pruning Considered Harmful., , , , , , , , , and 3 other author(s). CoRR, (2019)T-BFA: Targeted Bit-Flip Adversarial Weight Attack., , , , , and . CoRR, (2020)Efficient and Secure Deep Learning Inference System: A Software and Hardware Co-design Perspective.. Arizona State University, Tempe, USA, (2020)base-search.net (ftarizonastateun:item:62825).Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform?, , , , , , , , , and 3 other author(s). IEEE Trans. Neural Networks Learn. Syst., 33 (9): 4930-4944 (2022)Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support., , , , , and . ACM Great Lakes Symposium on VLSI, page 347-352. ACM, (2021)Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System., , , , , and . ISQED, page 1-6. IEEE, (2022)