Spontaneous sparse learning for PCM-based memristor neural networks DH Lim, S Wu, R Zhao, JH Lee, H Jeong, L Shi Nature communications 12 (1), 319, 2021 | 38 | 2021 |
Exploring cycle-to-cycle and device-to-device variation tolerance in MLC storage-based neural network training JH Lee, DH Lim, H Jeong, H Ma, L Shi IEEE Transactions on Electron Devices 66 (5), 2172-2178, 2019 | 35 | 2019 |
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks J Lee, J Jo, B Lee, JH Lee, S Yoon Frontiers in Computational Neuroscience 16, 1062678, 2022 | 3 | 2022 |
A Study on Imputation-based Online Learning in Varying Feature Spaces JH Lee, S Lee, CH Kim, OK Baek 2023 14th International Conference on Information and Communication …, 2023 | 1 | 2023 |
Robust and Adaptive Incremental Learning for Varying Feature Space CH Kim, JH Lee, H Shin, OK Baek IEEE Access, 2024 | | 2024 |
Latent-Variable Classifiers Based on Total Correlation for Dynamic Environments CH Kim, B Lee, JH Lee, OK Baek 2023 14th International Conference on Information and Communication …, 2023 | | 2023 |
Burst and Memory-aware Transformer: capturing temporal heterogeneity B Lee, JH Lee, S Lee, CH Kim Frontiers in Computational Neuroscience 17, 2023 | | 2023 |