| Vl-adapter: Parameter-efficient transfer learning for vision-and-language tasks YL Sung, J Cho, M Bansal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 231 | 2022 |
| Lst: Ladder side-tuning for parameter and memory efficient transfer learning YL Sung, J Cho, M Bansal Advances in Neural Information Processing Systems 35, 12991-13005, 2022 | 121 | 2022 |
| Training neural networks with fixed sparse masks YL Sung, V Nair, CA Raffel Advances in Neural Information Processing Systems 34, 24193-24205, 2021 | 113 | 2021 |
| Vision transformers are parameter-efficient audio-visual learners YB Lin, YL Sung, J Lei, M Bansal, G Bertasius Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 31 | 2023 |
| An empirical study of multimodal model merging YL Sung, L Li, K Lin, Z Gan, M Bansal, L Wang arXiv preprint arXiv:2304.14933, 2023 | 14 | 2023 |
| Unified coarse-to-fine alignment for video-text retrieval Z Wang, YL Sung, F Cheng, G Bertasius, M Bansal Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Video summarization with anchors and multi-head attention YL Sung, CY Hong, YC Hsu, TL Liu 2020 IEEE International Conference on Image Processing (ICIP), 2396-2400, 2020 | 6 | 2020 |
| Difference-Seeking Generative Adversarial Network--Unseen Sample Generation YL Sung, SH Hsieh, SC Pei, CS Lu International Conference on Learning Representations, 2019 | 5 | 2019 |
| Ecoflap: Efficient coarse-to-fine layer-wise pruning for vision-language models YL Sung, J Yoon, M Bansal arXiv preprint arXiv:2310.02998, 2023 | 2 | 2023 |
| DAM: Dynamic Adapter Merging for Continual Video QA Learning F Cheng, Z Wang, YL Sung, YB Lin, M Bansal, G Bertasius arXiv preprint arXiv:2403.08755, 2024 | | 2024 |
| SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data J Li, J Cho, YL Sung, J Yoon, M Bansal arXiv preprint arXiv:2403.06952, 2024 | | 2024 |
| Dynamic Adapter Merging for Continual Video Question-Answering Learning F Cheng, Z Wang, YL Sung, YB Lin, M Bansal, G Bertasius | | 2023 |
| Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy P Li, Z Zhang, P Yadav, YL Sung, Y Cheng, M Bansal, T Chen arXiv preprint arXiv:2310.01334, 2023 | | 2023 |
| The Maximum a Posterior Estimation of Darts JL Lin, YL Sung, CY Hong, HH Lee, TL Liu 2021 IEEE International Conference on Image Processing (ICIP), 419-423, 2021 | | 2021 |
| Difference-Seeking Generative Adversarial Network YL Sung, SH Hsieh, SC Pei, CS Lu | | 2018 |
| Supplementary Material for Unified Coarse-to-Fine Alignment for Video-text Retrieval Z Wang, YL Sung, F Cheng, G Bertasius, M Bansal | | |
| Supplementary Materials for VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks YL Sung, J Cho, M Bansal, AD Statistics | | |
