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06/14/2023
POP: Prompt Of Prompts for Continual Learning
Continual learning (CL) has attracted increasing attention in the recent...
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05/09/2023
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
Cross-platform recommendation aims to improve recommendation accuracy by...
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04/08/2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack
Deep learning models can be fooled by small l_p-norm adversarial perturb...
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03/30/2023
MobileInst: Video Instance Segmentation on the Mobile
Although recent approaches aiming for video instance segmentation have a...
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03/22/2023
Dense Network Expansion for Class Incremental Learning
The problem of class incremental learning (CIL) is considered. State-of-...
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10/10/2022
A Survey on Heterogeneous Federated Learning
Federated learning (FL) has been proposed to protect data privacy and vi...
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07/03/2020
Privacy Threats Against Federated Matrix Factorization
Matrix Factorization has been very successful in practical recommendatio...
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06/15/2020
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
prevention of stroke with its associated risk factors has been one of th...
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04/26/2020
Federated Transfer Learning for EEG Signal Classification
The success of deep learning (DL) methods in the Brain-Computer Interfac...
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04/04/2020
Volumetric Attention for 3D Medical Image Segmentation and Detection
A volumetric attention(VA) module for 3D medical image segmentation and ...
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02/11/2020
Validating uncertainty in medical image translation
Medical images are increasingly used as input to deep neural networks to...
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02/11/2020
Finding novelty with uncertainty
Medical images are often used to detect and characterize pathology and d...
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02/10/2020
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives
Segmentation of abdominal computed tomography(CT) provides spatial conte...
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02/10/2020
Outlier Guided Optimization of Abdominal Segmentation
Abdominal multi-organ segmentation of computed tomography (CT) images ha...
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12/01/2019
Stochastic tissue window normalization of deep learning on computed tomography
Tissue window filtering has been widely used in deep learning for comput...
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11/14/2019
Contrast Phase Classification with a Generative Adversarial Network
Dynamic contrast enhanced computed tomography (CT) is an imaging techniq...
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11/12/2019
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision
Human in-the-loop quality assurance (QA) is typically performed after me...
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09/11/2019
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography
Electroencephalography (EEG) classification techniques have been widely ...
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04/09/2019