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05/31/2023
Additional Positive Enables Better Representation Learning for Medical Images
This paper presents a new way to identify additional positive pairs for ...
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12/02/2022
FedCoCo: A Memory Efficient Federated Self-supervised Framework for On-Device Visual Representation Learning
The ubiquity of edge devices has led to a growing amount of unlabeled da...
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08/25/2022
Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream
Detecting actions in videos have been widely applied in on-device applic...
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08/24/2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis
In dermatological disease diagnosis, the private data collected by mobil...
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08/23/2022
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization
Dermatological diseases pose a major threat to the global health, affect...
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08/07/2022
Distributed Contrastive Learning for Medical Image Segmentation
Supervised deep learning needs a large amount of labeled data to achieve...
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04/23/2022
Federated Contrastive Learning for Volumetric Medical Image Segmentation
Supervised deep learning needs a large amount of labeled data to achieve...
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03/04/2022
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis
Many works have shown that deep learning-based medical image classificat...
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02/23/2022
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices
Along with the progress of AI democratization, neural networks are being...
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02/14/2022
Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation
Contrastive learning (CL), a self-supervised learning approach, can effe...
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02/14/2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning
Deep learning models have been deployed in an increasing number of edge ...
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11/21/2021
Distributed Unsupervised Visual Representation Learning with Fused Features
Federated learning (FL) enables distributed clients to learn a shared mo...
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06/16/2021
Positional Contrastive Learning for Volumetric Medical Image Segmentation
The success of deep learning heavily depends on the availability of larg...
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06/07/2021
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast
After a model is deployed on edge devices, it is desirable for these dev...
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07/07/2020
