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Found 3 papers, 1 papers with code
Efficient DNN-Powered Software with Fair Sparse Models
With the emergence of the Software 3. 0 era, there is a growing trend of compressing and integrating large models into software systems, with significant societal implications.
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement
The common practice leverages incremental learning (IL), e. g., Class-based Incremental Learning (CIL) that updates output labels, to update the model with new data and a limited number of old data.
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
To solve this issue, there has been a number of work trying to improve model fairness by using an adversarial game in model level.
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