Consistent counterfactuals for deep models
WebJun 23, 2024 · This work derives a general upper bound for the costs of counterfactual explanations under predictive multiplicity, which depends on a discrepancy notion between two classifiers, which describes how differently they treat negatively predicted individuals. Counterfactual explanations are usually obtained by identifying the smallest change … WebEstimation for Training Deep Networks Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang Department of Computer Science University of California, Santa Barbara [email protected], [email protected], [email protected], [email protected] Abstract Although deep learning models have driven state-of-the-art performance on a …
Consistent counterfactuals for deep models
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WebOct 6, 2024 · This paper studies the consistency of model prediction on counterfactual examples in deep networks under small changes to initial training conditions, such as … WebSep 12, 2024 · What is model calibration and why it is important; When to and When NOT to calibrate models; How to assess whether a model is calibrated (reliability curves) …
WebThis paper studies the consistency of model prediction on counterfactual examples in deep networks under small changes to initial training conditions, such as weight initialization … WebJan 1, 2024 · Counterfactuals are the most natural way of explaining model behaviour to humans. However, it has certain limitations, the most important one of which is that it only applies to classification problems. Another problem is that sometimes it provides explanations which, practically, cannot be fulfilled to reverse the decision.
WebDec 6, 2024 · Explaining the output of a complex machine learning (ML) model often requires approximation using a simpler model. To construct interpretable explanations that are also consistent with the original ML model, counterfactual examples — showing how the model's output changes with small perturbations to the input — have been proposed. Webmodel based [22, 24] or look into the internals of the model [3, 8, 29, 20]. Some of these methods also work with only black-box access [22, 9]. There are also a number of methods in this category specifically designed for images [26, 3, 25]. Global Posthoc Methods: These methods try to build an interpretable model on the whole dataset
WebJan 12, 2024 · Given the wide-spread adoption of machine-learned solutions in radiology, our study focuses on deep models used for identifying anomalies in chest X-ray images.
WebThese do not Look Like Those: An Interpretable Deep Learning Model for Image Recognition: IEEE: Correcting neural networks based on explanations: Refining Neural Networks with Compositional Explanations: ... Semantically consistent counterfactuals: Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals: Arxiv: ethene into butaneWebOct 23, 2024 · As studied in [ 35, 56, 57 ], an ideal counterfactual should have the following properties: (i) the highlighted regions in the images I, I' should be discriminative of their respective classes; (ii) the counterfactual should be sensible in that the replaced regions should be semantically consistent, i.e., they correspond to the same object parts; … firefox swf downloaderWebModel agnostic generation of counterfactual explanations for molecules† Geemi P. Wellawatte,a Aditi Seshadrib and Andrew D. White *b An outstanding challenge in deep … firefox swfWebAug 20, 2024 · Consistent Counterfactuals for Deep Models. ICLR2024 a service of home blog statistics browse persons conferences journals series search search dblp lookup by ID about f.a.q. team license privacy imprint manage site settings To protect your privacy, all features that rely on external API calls from your browser are turned off by default. firefox swiss militaryWebOct 30, 2024 · As counterfactual examples become increasingly popular for explaining decisions of deep learning models, it is essential to understand what properties quantitative evaluation metrics do capture and equally important what they do not capture. Currently, such understanding is lacking, potentially slowing down scientific progress. ethene into ethyneWebThe NSF Public Access Repository (NSF-PAR) system and access will be unavailable from 11:00 PM ET on Friday, September 30 until 12:00 PM ET on Saturday, October 1st … firefox switch between tabs keyboardWebApr 23, 2024 · In this paper, we introduce Multi-Objective Counterfactuals (MOC) which, to the best of our knowledge, is the first method to formalize the counterfactual search as a … firefox swipe keyboard not working