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Found 2 papers, 1 papers with code
Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation
We alleviate the issue of imbalanced attribute correlations during training using counterfactual feature vectors in the attribute latent space by disentanglement.
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning
To cope with the drift between local optimization and global convergence caused by data heterogeneity, we propose mutual knowledge distillation to transfer local knowledge to global, and absorb global knowledge back.
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