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Tongliang Liu

Showing results (1-10 of 92) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Classification with Noisy Labels by Importance ReweightingTongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|August 16, 2015
On the Performance of Manhattan Nonnegative Matrix FactorizationTongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|September 23, 2021
An Optimal Transport Analysis on Generalization in Deep LearningJingwei Zhang, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|February 8, 2020
Why ResNet Works? Residuals GeneralizeFengxiang He, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|April 21, 2021
On the Rates of Convergence From Surrogate Risk Minimizers to the Bayes Optimal ClassifierJingwei Zhang, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|June 21, 2016
Large-Cone Nonnegative Matrix FactorizationTongliang Liu, Mingming Gong, Dacheng Tao
Neural Computation|July 9, 2016
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding SchemesTongliang Liu, Dacheng Tao, Dong Xu
IEEE Transactions on Neural Networks and Learning Systems|May 24, 2017
Multiclass Learning With Partially Corrupted LabelsRuxin Wang, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|August 16, 2023
Going Deeper, Generalizing Better: An Information-Theoretic View for Deep LearningJingwei Zhang, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|December 10, 2021
Understanding How Pretraining Regularizes Deep Learning AlgorithmsYu Yao, Baosheng Yu, Chen Gong, et al.
Pageof 10

Showing results (1-10 of 92) with videos related to

Sort By:
Pageof 10
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Classification with Noisy Labels by Importance ReweightingTongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|August 16, 2015
On the Performance of Manhattan Nonnegative Matrix FactorizationTongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|September 23, 2021
An Optimal Transport Analysis on Generalization in Deep LearningJingwei Zhang, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|February 8, 2020
Why ResNet Works? Residuals GeneralizeFengxiang He, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|April 21, 2021
On the Rates of Convergence From Surrogate Risk Minimizers to the Bayes Optimal ClassifierJingwei Zhang, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|June 21, 2016
Large-Cone Nonnegative Matrix FactorizationTongliang Liu, Mingming Gong, Dacheng Tao
Neural Computation|July 9, 2016
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding SchemesTongliang Liu, Dacheng Tao, Dong Xu
IEEE Transactions on Neural Networks and Learning Systems|May 24, 2017
Multiclass Learning With Partially Corrupted LabelsRuxin Wang, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|August 16, 2023
Going Deeper, Generalizing Better: An Information-Theoretic View for Deep LearningJingwei Zhang, Tongliang Liu, Dacheng Tao
IEEE Transactions on Neural Networks and Learning Systems|December 10, 2021
Understanding How Pretraining Regularizes Deep Learning AlgorithmsYu Yao, Baosheng Yu, Chen Gong, et al.
Pageof 10