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07/19/2023
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition
Automated medical image classification is the key component in intellige...
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01/18/2023
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning
Current deep learning models often suffer from catastrophic forgetting o...
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12/07/2022
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults
Graph neural networks (GNNs) have recently emerged as a promising learni...
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07/14/2022
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification
Data imbalance between common and rare diseases during model training of...
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07/11/2022
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification
Imbalanced training data is a significant challenge for medical image cl...
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07/04/2022
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography
Accurate automated analysis of electroencephalography (EEG) would largel...
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03/25/2022
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing
Ensemble learning is a classical learning method utilizing a group of we...
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03/15/2022
SATS: Self-Attention Transfer for Continual Semantic Segmentation
Continually learning to segment more and more types of image regions is ...
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02/11/2022
Automated Architecture Search for Brain-inspired Hyperdimensional Computing
This paper represents the first effort to explore an automated architect...
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08/25/2021
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images
Deep learning models have shown their superior performance in various vi...
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08/11/2021
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Successful continual learning of new knowledge would enable intelligent ...
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04/28/2021
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
Continual learning of new knowledge over time is one desirable capabilit...
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02/14/2018
