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Found 6 papers, 4 papers with code
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs
Graph Neural Networks (GNNs) are powerful tools for learning representations on graphs, such as social networks.
Mutimodal Ranking Optimization for Heterogeneous Face Re-identification
Secondly, we propose linear and non-linear fusion strategies to aggregate initial ranking lists of multimodal face pairs and acquire the optimized re-ranked list based on modal complementarity.
Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy
The opacity of deep learning models constrains their debugging and improvement.
Cascading Convolutional Temporal Colour Constancy
We extend this architecture with different models obtained by (i) substituting the TCCNet submodules with C4, the state-of-the-art method for CCC targeting images; (ii) adding a cascading strategy to perform an iterative improvement of the estimate of the illuminant.
A Distributed Fair Machine Learning Framework with Private Demographic Data Protection
In this paper, we propose a distributed fair learning framework for protecting the privacy of demographic data.
Fair Kernel Regression via Fair Feature Embedding in Kernel Space
In this paper, we propose a new fair kernel regression method via fair feature embedding (FKR-F$^2$E) in kernel space.
