Search Results for author:
Found 2 papers, 2 papers with code
Counterfactual Reasoning with Knowledge Graph Embeddings
We further observe that KGEs adapted with COULDD solidly detect plausible counterfactual changes to the graph that follow these patterns.
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
Instead of cleaning the dataset prior to model training, the dataset is dynamically adjusted during the training process.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
