CausaLM: Causal Model Explanation Through Counterfactual Language Models

27 May 2020Amir FederNadav OvedUri ShalitRoi Reichart

Understanding predictions made by deep neural networks is notoriously difficult, but also crucial to their dissemination. As all ML-based methods, they are as good as their training data, and can also capture unwanted biases... (read more)

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