| 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 |
| Online Boundary-Free Continual Learning by Scheduled Data Prior H Koh, M Seo, J Bang, H Song, D Hong, S Park, JW Ha, J Choi The Eleventh International Conference on Learning Representations, 2022 | 8 | 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 |
| ConCoDE: Hard-constrained Differentiable Co-Exploration Method for Neural Architectures and Hardware Accelerators D Hong, K Choi, HY Lee, J Yu, Y Kim, N Park, J Lee | | 2021 |
