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Lue Tao
Lue Tao
Подтвержден адрес электронной почты в домене lamda.nju.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
H Wei, L Tao, R Xie, B An
Advances in Neural Information Proecessing Systems (NeurIPS), 2021
622021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
L Tao, L Feng, J Yi, SJ Huang, S Chen
Advances in Neural Information Proecessing Systems (NeurIPS), 2021
60*2021
Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes
C Geng, L Tao, S Chen
Pattern Recognition 102, 107263, 2020
412020
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
H Wei, L Tao, R Xie, L Feng, B An
International Conference on Machine Learning (ICML), 23615-23630, 2022
242022
Accelerated Stochastic Gradient-free and Projection-free Methods
F Huang, L Tao, S Chen
International Conference on Machine Learning (ICML), 4519-4530, 2020
192020
Multiple-Instance Learning from Similar and Dissimilar Bags
L Feng, S Shu, Y Cao, L Tao, H Wei, T Xiang, B An, G Niu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 374-382, 2021
132021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
KP Ning, L Tao, S Chen, SJ Huang
AAAI Conference on Artificial Intelligence (AAAI) 35 (10), 9161--9169, 2021
122021
Can Adversarial Training Be Manipulated By Non-Robust Features?
L Tao, L Feng, H Wei, J Yi, SJ Huang, S Chen
Advances in Neural Information Proecessing Systems (NeurIPS), 2022
82022
With False Friends Like These, Who Can Notice Mistakes?
L Tao, L Feng, J Yi, S Chen
AAAI Conference on Artificial Intelligence (AAAI), 2022
32022
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
L Tao, YX Huang, WZ Dai, Y Jiang
AAAI Conference on Artificial Intelligence (AAAI), 2024
2024
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