no code implementations • 24 Feb 2023 • Qiuchi Li, Benyou Wang, Yudong Zhu, Christina Lioma, Qun Liu
The emerging classical-quantum transfer learning paradigm has brought a decent performance to quantum computational models in many tasks, such as computer vision, by enabling a combination of quantum models and classical pre-trained neural networks.
no code implementations • CVPR 2022 • Cheng Chen, Yudong Zhu, Zhenshan Tan, Qingrong Cheng, Xin Jiang, Qun Liu, Xiaodong Gu
In this paper, we propose a contrastive learning-based framework UTC to unify and facilitate both discriminative and generative tasks in visual dialog with a single model.
no code implementations • 17 Mar 2022 • Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
We devise a novel contrastive learning objective to accommodate both self-augmented positives/negatives sampled from the same music.
3 code implementations • Findings of the Association for Computational Linguistics 2020 • Yudong Zhu, Di Zhou, Jinghui Xiao, Xin Jiang, Xiao Chen, Qun Liu
Natural language data exhibit tree-like hierarchical structures such as the hypernym-hyponym relations in WordNet.