Yupeng Gao
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Evaluating the robustness of neural networks: An extreme value theory approach
TW Weng, H Zhang, PY Chen, J Yi, D Su, Y Gao, CJ Hsieh, L Daniel
arXiv preprint arXiv:1801.10578, 2018
Is robustness the cost of accuracy?--a comprehensive study on the robustness of 18 deep image classification models
D Su, H Zhang, H Chen, J Yi, PY Chen, Y Gao
Proceedings of the European conference on computer vision (ECCV), 631-648, 2018
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback
H Wu, Y Gao, X Guo, Z Al-Halah, S Rennie, K Grauman, R Feris
CVPR, 2021
The fashion iq dataset: Retrieving images by combining side information and relative natural language feedback
X Guo, H Wu, Y Gao, S Rennie, R Feris
arXiv preprint arXiv:1905.12794 1 (2), 7, 2019
Interactive fiction game playing as multi-paragraph reading comprehension with reinforcement learning
X Guo, M Yu, Y Gao, C Gan, M Campbell, S Chang
arXiv preprint arXiv:2010.02386, 2020
Context-aware conversation thread detection in multi-party chat
M Tan, D Wang, Y Gao, H Wang, S Potdar, X Guo, S Chang, M Yu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Is robustness the cost of accuracy
D Su, H Zhang, H Chen, J Yi, PY Chen, Y Gao
A Comprehensive Study on the Robustness of 18, 644-661, 0
Context-aware conversation thread detection for communication sessions
D Wang, M Tan, M Yu, H Wang, Y Gao, C Gan
US Patent 11,288,578, 2022
Sampling-based distributed kernel mean matching using spark
A Haque, Z Wang, S Chandra, Y Gao, L Khan, C Aggarwal
2016 IEEE International Conference on Big Data (Big Data), 462-471, 2016
Learning Logical Representations from Natural Languages with Weak Supervision and Back-Translation
K Hagopian, Q Wang, T Ma, Y Gao, L Wu
Knowledge Representation & Reasoning Meets Machine Learning Workshop (KR2ML), 2019
Extractive structured prediction in interactive systems
X Guo, M Yu, Y Gao, C Gan, S Chang, MS Campbell
US Patent 11,790,181, 2023
Fashion iq: A new dataset towards retrieving images by natural language feedback
H Wu, Y Gao, X Guo, Z Al-Halah, S Rennie, K Grauman, R Feris
arXiv e-prints, arXiv: 1905.12794, 2019
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