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Yanpeng Zhao
Yanpeng Zhao
Verified email at ed.ac.uk
Title
Cited by
Cited by
Year
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound
R Zellers, J Lu, X Lu, Y Yu, Y Zhao, M Salehi, A Kusupati, J Hessel, ...
CVPR 2022, 2022
1862022
Structured Attentions for Visual Question Answering
C Zhu, Y Zhao, S Huang, K Tu, Y Ma
ICCV 2017, 2017
1172017
Visually Grounded Compound PCFGs
Y Zhao, I Titov
EMNLP 2020 (Best Paper Honorable Mention), 2020
352020
Learning Bayesian Network Structures under Incremental Construction Curricula
Y Zhao, Y Chen, K Tu, J Tian
Neurocomputing 258, 30-40, 2017
292017
Language Style Transfer from Sentences with Arbitrary Unknown Styles
Y Zhao, W Bi, D Cai, X Liu, K Tu, S Shi
arXiv preprint arXiv:1808.04071, 2018
25*2018
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer
Y Zhao, J Hessel, Y Yu, X Lu, R Zellers, Y Choi
NAACL 2022, 2021
232021
Neural Bi-Lexicalized PCFG Induction
S Yang, Y Zhao, K Tu
ACL 2021, 2021
192021
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
S Yang, Y Zhao, K Tu
NAACL 2021, 2021
172021
Sequence Prediction Using Neural Network Classiers
Y Zhao, S Chu, Y Zhou, K Tu
International Conference on Grammatical Inference, 164-169, 2017
172017
Gaussian Mixture Latent Vector Grammars
Y Zhao, L Zhang, K Tu
ACL 2018 (Best Paper Award Nomination), 2018
122018
An Empirical Study of Compound PCFGs
Y Zhao, I Titov
Adapt-NLP at EACL 2021, 2021
102021
Curriculum Learning of Bayesian Network Structures
Y Zhao, Y Chen, K Tu, J Tian
Asian Conference on Machine Learning, 269-284, 2016
82016
Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain
Y Zhao, I Titov
arXiv preprint arXiv:2005.00278, 2020
42020
On the Transferability of Visually Grounded PCFGs
Y Zhao, I Titov
EMNLP Findings 2023, 2023
12023
Unsupervised Structure Induction and Multimodal Grounding
Y Zhao
The University of Edinburgh, 2023
2023
Unsupervised Scene Graph Induction from Natural Language Supervision
Y Zhao, I Titov
Technical report: https://github.com/zhaoyanpeng/sgi, 2023
2023
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