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Dejiao Zhang
Dejiao Zhang
Senior Applied Scientist, AWS AI Labs, Amazon
Dirección de correo verificada de umich.edu - Página principal
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Año
Supporting Clustering with Contrastive Learning
D Zhang, F Nan, X Wei, S Li, H Zhu, K McKeown, R Nallapati, A Arnold, ...
NAACL 2021, 2021
1832021
Entity-level Factual Consistency of Abstractive Text Summarization
F Nan, R Nallapati, Z Wang, CN Santos, H Zhu, D Zhang, K McKeown, ...
EACL 2021, 2021
1352021
Lifelong pretraining: Continually adapting language models to emerging corpora
X Jin, D Zhang, H Zhu, W Xiao, SW Li, X Wei, A Arnold, X Ren
NAACL 2022, 2021
892021
Improving Factual Consistency of Abstractive Summarization via Question Answering
F Nan, CN Santos, H Zhu, P Ng, K McKeown, R Nallapati, D Zhang, ...
ACL 2021, 2021
832021
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
D Zhang, L Balzano
International Conference on Artificial Intelligence and Statistics, AISTATS 2016, 2016
792016
Iterative Grassmannian optimization for robust image alignment
J He, D Zhang, L Balzano, T Tao
Image and Vision Computing 32 (10), 800-813, 2014
682014
Deep unsupervised clustering using mixture of autoencoders
D Zhang, Y Sun, B Eriksson, L Balzano
arXiv preprint arXiv:1712.07788, 2017
532017
Pairwise Supervised Contrastive Learning of Sentence Representations
D Zhang, SW Li, W Xiao, H Zhu, R Nallapati, AO Arnold, B Xiang
EMNLP 2021, 2021
522021
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
D Zhang, H Wang, MAT Figueiredo, L Balzano
The International Conference on Learning Representations, ICLR 2018, 2018
502018
Qaner: Prompting question answering models for few-shot named entity recognition
AT Liu, W Xiao, H Zhu, D Zhang, SW Li, A Arnold
arXiv preprint arXiv:2203.01543, 2022
382022
Knowledge enhanced pretrained language models: A compreshensive survey
X Wei, S Wang, D Zhang, P Bhatia, A Arnold
arXiv preprint arXiv:2110.08455, 2021
362021
Virtual Augmentation Supported Contrastive Learning of Sentence Representations
D Zhang, W Xiao, H Zhu, X Ma, AO Arnold
Findings of ACL 2022, 2021
222021
Iterative online subspace learning for robust image alignment
J He, D Zhang, L Balzano, T Tao
2013 10th IEEE International Conference and Workshops on Automatic Face and …, 2013
222013
Learning Dialogue Representations from Consecutive Utterances
Z Zhou, D Zhang, W Xiao, N Dingwall, X Ma, AO Arnold, B Xiang
NAACL 2022, 2022
162022
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
Y Gao, H Zhu, P Ng, CN Santos, Z Wang, F Nan, D Zhang, R Nallapati, ...
ACL 2021, 2020
162020
Exploring Continual Learning for Code Generation Models
P Yadav, Q Sun, H Ding, X Li, D Zhang, M Tan, X Ma, P Bhatia, ...
ACL 2023, 2023
142023
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
D Zhang, L Balzano
https://arxiv.org/abs/1610.00199, 2016
142016
Margin-aware unsupervised domain adaptation for cross-lingual text labeling
D Zhang, R Nallapati, H Zhu, F Nan, C dos Santos, K McKeown, B Xiang
Findings of the Association for Computational Linguistics: EMNLP 2020, 3527-3536, 2020
102020
Enhanced Online Subspace Estimation via Adaptive Sensing
G Ongie, D Hong, D Zhang, L Balzano
Asilomar Conference on Signals, Systems, and Computers, 2017
62017
t-GRASTA code
J He, D Zhang, L Balzano, T Tao
62013
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Artículos 1–20