CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation

27 November 2022

Papers citing "CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation"

6 / 6 papers shown

Title
An Efficient General-Purpose Optical Accelerator for Neural Networks Sijie Fei Amro Eldebiky Grace Li Zhang Bing Li Ulf Schlichtmann GNN 16 0 0 02 Sep 2024
TSB: Tiny Shared Block for Efficient DNN Deployment on NVCIM Accelerators Yifan Qin Zheyu Yan Zixuan Pan Wujie Wen X. Hu Yiyu Shi 40 1 0 08 May 2024
Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures Ruiyang Qin Zheyu Yan Dewen Zeng Zhenge Jia Dancheng Liu ... Zhi Zheng N. Cao Kai Ni Jinjun Xiong Yiyu Shi 42 7 0 07 May 2024
Compute-in-Memory based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections Zheyu Yan X. Hu Yiyu Shi AAML 31 1 0 11 Dec 2023
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise Zheyu Yan Yifan Qin Wujie Wen X. Hu Yi Shi 46 13 0 29 Jul 2023
Negative Feedback Training: A Novel Concept to Improve Robustness of NVCIM DNN Accelerators Yifan Qin Zheyu Yan Wujie Wen X. Hu Yiyu Shi 16 6 0 23 May 2023