Seuraa
Xujiang Zhao
Xujiang Zhao
Vahvistettu sähköpostiosoite verkkotunnuksessa nec-labs.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Uncertainty Aware Semi-Supervised Learning on Graph Data
X Zhao, F Chen, S Hu, JH Cho
Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020
1352020
Domain specialization as the key to make large language models disruptive: A comprehensive survey
C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ...
arXiv preprint arXiv:2305.18703, 2023
1112023
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
K Killamsetty, X Zhao, F Chen, R Iyer
Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021
922021
Beyond one-model-fits-all: A survey of domain specialization for large language models
C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ...
arXiv preprint arXiv:2305.18703, 2023
502023
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
W Shi, X Zhao, F Chen, Q Yu
Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020
382020
Multidimensional Uncertainty-Aware Evidential Neural Networks
Y Hu, Y Ou, X Zhao, JH Cho, F Chen
AAAI Conference on Artificial Intelligence (AAAI), 2021, 2020
282020
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
X Zhao, Y Ou, L Kaplan, F Chen, JH Cho
AAAI 2019 Fall Symposium Series, Artificial Intelligence in Government and …, 2019
252019
CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining
Z Wang, Y Chen, C Zhao, Y Lin, X Zhao, H Tao, Y Wang, L Khan
The Web Conference 2021 (WWW), 1351-1362, 2021
232021
PrivacyMind: large language models can be contextual privacy protection learners
Y Xiao, Y Jin, Y Bai, Y Wu, X Yang, X Luo, W Yu, X Zhao, Y Liu, Q Gu, ...
arXiv preprint arXiv:2310.02469, 2023
222023
Robust semi-supervised learning with out of distribution data
X Zhao, K Krishnateja, R Iyer, F Chen
arXiv preprint arXiv:2010.03658 2 (3), 2020
182020
Uncertainty-based decision making using deep reinforcement learning
X Zhao, S Hu, JH Cho, F Chen
2019 22th International Conference on Information Fusion (FUSION), 1-8, 2019
182019
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning
Z Guo, Z Wan, Q Zhang, X Zhao, Q Zhang, LM Kaplan, A Jøsang, ...
Information Fusion 101, 101987, 2024
162024
A survey on uncertainty reasoning and quantification for decision making: Belief theory meets deep learning
Z Guo, Z Wan, Q Zhang, X Zhao, F Chen, JH Cho, Q Zhang, LM Kaplan, ...
arXiv preprint arXiv:2206.05675, 2022
162022
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
L Xu, X Zhang, X Zhao, H Chen, F Chen, JD Choi
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
162021
Deep learning for predicting dynamic uncertain opinions in network data
X Zhao, F Chen, JH Cho
2018 IEEE International Conference on Big Data (Big Data), 1150-1155, 2018
162018
Dynamic prompting: A unified framework for prompt tuning
X Yang, W Cheng, X Zhao, W Yu, L Petzold, H Chen
arXiv preprint arXiv:2303.02909, 2023
122023
Seed: Sound event early detection via evidential uncertainty
X Zhao, X Zhang, W Cheng, W Yu, Y Chen, H Chen, F Chen
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
112022
Domain specialization as the key to make large language models disruptive: a comprehensive survey (2024)
C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ...
arXiv preprint arXiv:2305.18703, 0
11
Calibrate automated graph neural network via hyperparameter uncertainty
X Yang, J Wang, X Zhao, S Li, Z Tao
Proceedings of the 31st ACM International Conference on Information …, 2022
102022
Improving open information extraction with large language models: A study on demonstration uncertainty
C Ling, X Zhao, X Zhang, Y Liu, W Cheng, H Wang, Z Chen, T Osaki, ...
arXiv preprint arXiv:2309.03433, 2023
92023
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