Today, computer vision is one of the hottest subfields of artificial intelligence and machine learning given its wide variety of applications and tremendous potential. It’s a goal to replicate the powerful capacities of human vision. Computer vision system must recognize the present objects and their...
The explanations aim to capture the core concepts and key takeaways as accurately as possible. However, we always recommend referring back to the original paper for technical details. Think of the AI explanations as a "study buddy" pointing out main ideas. ...
SHAP has specific support for natural language models like those in the Hugging Face transformers library. By adding coalitional rules to traditional Shapley values we can form games that explain large modern NLP model using very few function evaluations. Using this functionality is as simple as pass...
To motivate the perspective we take in this work, training these models to communicate better. We note that we humans (who tend to be rather good at provide a pictorial summary of our perspective on NLP tasks) are also "black boxes" in the sense that we model interpretability in fig. 1...
SHAP has specific support for natural language models like those in the Hugging Face transformers library. By adding coalitional rules to traditional Shapley values we can form games that explain large modern NLP model using very few function evaluations. Using this functionality is as simple as pass...
A game theoretic approach to explain the output of any machine learning model. - dylanmckendry/shap
SHAP has specific support for natural language models like those in the Hugging Face transformers library. By adding coalitional rules to traditional Shapley values we can form games that explain large modern NLP model using very few function evaluations. Using this functionality is as simple as pass...
SHAP has specific support for natural language models like those in the Hugging Face transformers library. By adding coalitional rules to traditional Shapley values we can form games that explain large modern NLP model using very few function evaluations. Using this functionality is as simple as pass...
SHAP has specific support for natural language models like those in the Hugging Face transformers library. By adding coalitional rules to traditional Shapley values we can form games that explain large modern NLP model using very few function evaluations. Using this functionality is as simple as pass...
SHAP has specific support for natural language models like those in the Hugging Face transformers library. By adding coalitional rules to traditional Shapley values we can form games that explain large modern NLP model using very few function evaluations. Using this functionality is as simple as pass...