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A Review of In-Memory Computing Architectures for Machine Learning Applications., , , , and . ACM Great Lakes Symposium on VLSI, page 89-94. ACM, (2020)Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications., , and . CISS, page 1-6. IEEE, (2023)POLAR: Performance-aware On-device Learning Capable Programmable Processing-in-Memory Architecture for Low-Power ML Applications., , , , and . DSD, page 889-898. IEEE, (2022)3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications., , , , and . IEEE Trans. Emerg. Top. Comput., 12 (1): 60-72 (January 2024)Look-up-Table Based Processing-in-Memory Architecture With Programmable Precision-Scaling for Deep Learning Applications., , , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (2): 263-275 (2022)A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms., , , , , , , , , and . IEEE Des. Test, 39 (3): 91-116 (2022)Heterogeneous Multi-Functional Look-Up-Table-based Processing-in-Memory Architecture for Deep Learning Acceleration., , , and . ISQED, page 1-8. IEEE, (2023)Accelerating Adversarial Attack using Process-in-Memory Architecture., , , , , , , and . MSN, page 325-330. IEEE, (2022)pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning., , , , , and . IEEE Comput. Archit. Lett., 19 (2): 118-121 (2020)uPIM: Performance-aware Online Learning Capable Processing-in-Memory., , , and . AICAS, page 1-4. IEEE, (2021)