Xiangnan He C Wang, XH Li, H Han, S Wang, L Wang, CC Cao, L Chen. Tutor bios. Blockchain 70. Counterfactual Keywords: Explainable Artificial Intelligence, Machine Learning, Deep Learning, Interpretability, Shapley, Grad-CAM, Layer-wise Relevance Propagation, DiCE, Counterfactual explanations, TS4NLE, Neural-symbolic learning 1. Counterfactual Explanations as Interventions in Latent Space DiCE: Diverse Counterfactual Explanations for Machine Learning ... It discusses the need for counterfactual and contrastive explanations, the working principle, and mathematical modeling of various techniques like Diverse Counterfactual Explanations (DiCE) for generating actionable counterfactuals. Explanations Evaluation of explainable ML can be loosely categorized into two classes: faithfulness on evaluating how well the … arXiv preprint arXiv:1905.07697 (2019). In this tutorial, we will introduce the cognitive concept and characteristics of counterfactual explanation, its computational form, mainstream methods, and various adaptation in terms of different explanation settings. Counterfactual Explainations, Explainable AI, Interpretable Machine ... They want to learn how to use Python for machine. Dice ⭐ 825. The technical program features substantial, original research and practices influencing AI's development throughout the world.
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