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04/08/2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Domain adaptation (DA) tries to tackle the scenarios when the test data ...
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03/08/2022
Graph Attention Transformer Network for Multi-Label Image Classification
Multi-label classification aims to recognize multiple objects or attribu...
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07/21/2021
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Liver cancer is one of the most common cancers worldwide. Due to inconsp...
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06/21/2021
Confidence-Guided Radiology Report Generation
Medical imaging plays a pivotal role in diagnosis and treatment in clini...
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10/19/2020
Double-Uncertainty Weighted Method for Semi-supervised Learning
Though deep learning has achieved advanced performance recently, it rema...
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09/24/2020
Disentangled Neural Architecture Search
Neural architecture search has shown its great potential in various area...
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06/23/2020
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation
Coronavirus disease 2019 (COVID-19) is a highly contagious virus spreadi...
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04/26/2020
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System
Prior work in standardized science exams requires support from large tex...
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11/01/2019
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database
Liver tumor segmentation plays an important role in hepatocellular carci...
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09/06/2019
Efficient Automatic Meta Optimization Search for Few-Shot Learning
Previous works on meta-learning either relied on elaborately hand-design...
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02/23/2019
