Sung, Yi-Lin

11 publications

WACV 2025 DAM: Dynamic Adapter Merging for Continual Video QA Learning Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius

ICLR 2024 ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

ICLR 2024 Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen

NeurIPS 2024 SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

TMLR 2024 Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal

ICCV 2023 Unified Coarse-to-Fine Alignment for Video-Text Retrieval Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal

CVPR 2023 Vision Transformers Are Parameter-Efficient Audio-Visual Learners Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius

NeurIPS 2022 LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning Yi-Lin Sung, Jaemin Cho, Mohit Bansal

CVPR 2022 VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks Yi-Lin Sung, Jaemin Cho, Mohit Bansal

NeurIPS 2021 Training Neural Networks with Fixed Sparse Masks Yi-Lin Sung, Varun Nair, Colin A Raffel

ICLR 2020 Difference-Seeking Generative Adversarial Network--Unseen Sample Generation Yi Lin Sung, Sung-Hsien Hsieh, Soo-Chang Pei, Chun-Shien Lu