2 papers
cs.CR2025
Hessian-aware Training for Enhancing DNNs Resilience to Parameter Corruptions
Tahmid Hasan Prato, Seijoon Kim, Lizhong Chen +1
Deep neural networks are not resilient to parameter corruptions: even a single-bitwise error in their parameters in memory can cause an accuracy drop of over 10%, and in the worst…
cs.NE2022
Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar
Youngeun Kim, Hyunsoo Kim, Seijoon Kim +2
Binary memristive crossbars have gained huge attention as an energy-efficient deep learning hardware accelerator. Nonetheless, they suffer from various noises due to the analog nat…