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08/13/2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
Brain tissue segmentation is essential for neuroscience and clinical stu...
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05/13/2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Meta learning recently has been heavily researched and helped advance th...
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01/18/2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness
Robust loss minimization is an important strategy for handling robust le...
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02/16/2022
Diagnosing Batch Normalization in Class Incremental Learning
Extensive researches have applied deep neural networks (DNNs) in class i...
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02/11/2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning
Modern deep neural networks can easily overfit to biased training data c...
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07/06/2021
Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks
Meta learning has attracted much attention recently in machine learning ...
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09/02/2020
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction
Current machine learning has made great progress on computer vision and ...
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08/08/2020
Meta Feature Modulator for Long-tailed Recognition
Deep neural networks often degrade significantly when training data suff...
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08/03/2020
Learning to Purify Noisy Labels via Meta Soft Label Corrector
Recent deep neural networks (DNNs) can easily overfit to biased training...
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07/29/2020
Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize
The learning rate (LR) is one of the most important hyper-parameters in ...
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06/10/2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels
To discover intrinsic inter-class transition probabilities underlying da...
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02/16/2020
Learning Adaptive Loss for Robust Learning with Noisy Labels
Robust loss minimization is an important strategy for handling robust le...
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02/20/2019
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
While deep networks have strong fitting capability to complex input patt...
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02/20/2019
Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
While deep networks have strong fitting capability to complex input patt...
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08/14/2018
