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2020 – today
- 2024
[c11]Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen:
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. ICLR 2024- [c10]Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. ICLR 2024 - [i10]Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data. CoRR abs/2403.06952 (2024) - [i9]Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius:
DAM: Dynamic Adapter Merging for Continual Video QA Learning. CoRR abs/2403.08755 (2024) - 2023
- [c9]Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius:
Vision Transformers are Parameter-Efficient Audio-Visual Learners. CVPR 2023: 2299-2309 - [c8]Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang:
An Empirical Study of Multimodal Model Merging. EMNLP (Findings) 2023: 1563-1575 - [c7]Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal:
Unified Coarse-to-Fine Alignment for Video-Text Retrieval. ICCV 2023: 2804-2815 - [i8]Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang:
An Empirical Study of Multimodal Model Merging. CoRR abs/2304.14933 (2023) - [i7]Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal:
Unified Coarse-to-Fine Alignment for Video-Text Retrieval. CoRR abs/2309.10091 (2023) - [i6]Pingzhi Li
, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen:
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. CoRR abs/2310.01334 (2023) - [i5]Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. CoRR abs/2310.02998 (2023) - 2022
- [c6]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CVPR 2022: 5217-5227 - [c5]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. NeurIPS 2022 - [i4]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning. CoRR abs/2206.06522 (2022) - [i3]Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius:
Vision Transformers are Parameter-Efficient Audio-Visual Learners. CoRR abs/2212.07983 (2022) - 2021
- [c4]Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee, Tyng-Luh Liu:
The Maximum a Posterior Estimation of Darts. ICIP 2021: 419-423 - [c3]Yi-Lin Sung, Varun Nair, Colin Raffel:
Training Neural Networks with Fixed Sparse Masks. NeurIPS 2021: 24193-24205 - [i2]Yi-Lin Sung, Varun Nair, Colin Raffel:
Training Neural Networks with Fixed Sparse Masks. CoRR abs/2111.09839 (2021) - [i1]Yi-Lin Sung, Jaemin Cho, Mohit Bansal:
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. CoRR abs/2112.06825 (2021) - 2020
- [c2]Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu:
Video Summarization with Anchors and Multi-Head Attention. ICIP 2020: 2396-2400
2010 – 2019
- 2013
- [c1]Yi-Lin Sung, Aldo W. Morales, Sedig S. Agili:
Outage probability of network-coding-based cooperative communication system. ICCE 2013: 620-622
Coauthor Index
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