WebApr 6, 2024 · These XAI explanations lack intuitive coverage of the evidentiary basis for a given classification, posing a significant barrier to adoption. We posit that XAI explanations that mirror human processes of reasoning and justification with evidence may be more useful and trustworthy than traditional visual explanations like heat maps. WebHave a look at SCOPE.md to get familiar with what grounding means and the tasks considered in this repository. To maintaing the quality of the repo, I have gone through all the listed papers at least once before adding them …

Grounding Visual Representations with Texts (GVRT) - Github

WebPracticum: Explore simple gradient explanations for standard and robust models Readings: Generating adversarial examples with FGSM ; Simple gradient explanation with SmoothGrad Optional: Training robust models with robust optimization ; ML models rely on imperceptible features ; Robustness vs Accuracy ; Robustness as a feature prior WebNov 17, 2024 · Visual Counterfactual Explanations (VCEs) are an important tool to understand the decisions of an image classifier. They are 'small' but 'realistic' semantic changes of the image changing the ... kiss fm kyle and jackie o show

Grounding Visual Explanations (Extended Abstract) DeepAI

WebJun 30, 2024 · Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez We … WebThis paper discusses the promises of Interactive Machine Learning for improved transparency of black-box systems using the example of contrastive explanations—a state-of-the-art approach to Interpretable Machine Learning and shows how to personalise counterfactual explanations by interactively adjusting their conditional statements and … WebInitially, each image has one ground truth sentence Generate ten negative explanation sentences Created negative sentences by flipping attributes corresponding to color, size and objects in attribute phrases “yellow belly” -> “red head” “yellow belly” -> “yellow beak” Hendricks et al , 2024 Model Architecture A i = phrase R i = region s i kiss fm listen live utica