Dance: Differentiable accelerator/network co-exploration K Choi, D Hong, H Yoon, J Yu, Y Kim, J Lee 2021 58th ACM/IEEE Design Automation Conference (DAC), 337-342, 2021 | 45 | 2021 |
Qimera: Data-free quantization with synthetic boundary supporting samples K Choi, D Hong, N Park, Y Kim, J Lee Advances in Neural Information Processing Systems 34, 14835-14847, 2021 | 41 | 2021 |
It's all in the teacher: Zero-shot quantization brought closer to the teacher K Choi, HY Lee, D Hong, J Yu, N Park, Y Kim, J Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 25 | 2022 |
Enabling hard constraints in differentiable neural network and accelerator co-exploration D Hong, K Choi, HY Lee, J Yu, N Park, Y Kim, J Lee Proceedings of the 59th ACM/IEEE Design Automation Conference, 589-594, 2022 | 1 | 2022 |
Fast Adversarial Training with Dynamic Batch-level Attack Control J Jung, J Song, H Jang, H Lee, K Choi, N Park, J Lee 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | | 2023 |