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Found 3 papers, 1 papers with code
Federated Unlearning for Human Activity Recognition
In response, we propose a lightweight machine unlearning method for refining the FL HAR model by selectively removing a portion of a client's training data.
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling
As deep neural networks are more commonly deployed in high-stakes domains, their black-box nature makes uncertainty quantification challenging.
A positive feedback method based on F-measure value for Salient Object Detection
The majority of current salient object detection (SOD) models are focused on designing a series of decoders based on fully convolutional networks (FCNs) or Transformer architectures and integrating them in a skillful manner.
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