Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation M Kang, J Park, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 181 | 2022 |
Operation-aware soft channel pruning using differentiable masks M Kang, B Han International Conference on Machine Learning, 5122-5131, 2020 | 155 | 2020 |
Class-Incremental Learning for Action Recognition in Videos J Park, M Kang, B Han Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 56 | 2021 |
Towards oracle knowledge distillation with neural architecture search M Kang, J Mun, B Han Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4404-4411, 2020 | 55 | 2020 |
Conditional Score Guidance for Text-Driven Image-to-Image Translation H Lee, M Kang, B Han Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Variational Distribution Learning for Unsupervised Text-to-Image Generation M Kang, D Lee, J Kim, S Kim, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
Information-Theoretic GAN Compression with Variational Energy-based Model M Kang, H Yoo, E Kang, S Ki, HE Lee, B Han Advances in Neural Information Processing Systems 35, 18241-18255, 2022 | 3 | 2022 |
Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation J Lee, M Kang, B Han arXiv preprint arXiv:2409.08077, 2024 | | 2024 |
Apparatus and method with neural network training based on knowledge distillation E Kang, M Kang, B Han, KI Sehwan, HE Lee US Patent App. 17/862,779, 2023 | | 2023 |
Method and apparatus with neural network data processing C Son, M Kang, B Han US Patent App. 17/148,619, 2021 | | 2021 |