WebApr 30, 2024 · The explanation consists of two parts: (i) a set of exemplars and counter-exemplars images illustrating, respectively, instances classified with the same label and with a different label than the instance to explain, which may be visually analyzed to understand the reasons for the classification, and (ii) a saliency map highlighting the areas of … WebDec 10, 2024 · Whenever black-box algorithmic predictions influence human affairs, the inner workings of these algorithms should be scrutinised and their decisions explained to the relevant stakeholders,...
Robust and Stable Black Box Explanations - Harvard …
Web§However, post hoc explanations have been shown to be unstable and unreliable §Small perturbations to input can substantially change the explanations; running same algorithm … WebApr 12, 2024 · BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning ... Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning Jinwoo Kim · Janghyuk Choi · Ho-Jin Choi · Seon Joo Kim ... Spatial-temporal Concept based Explanation of 3D ConvNets nyct transit adjudication bureau
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http://proceedings.mlr.press/v119/lakkaraju20a/lakkaraju20a.pdf WebApr 10, 2024 · Shapley additive explanations, applied to four protected areas across the species range, were valuable for understanding which climatic predictors drove predicted ocelot habitat at a local scale, with the protected areas with the highest predicted values having consistently more precipitation and higher temperatures. WebRobust and Stable Black Box Explanations Hima Lakkaraju · Nino Arsov · Osbert Bastani Virtual Keywords: [ Supervised Learning ] [ Accountability, Transparency and Interpretability ] [ Abstract ] [ Slides ] Wed 15 Jul 5 a.m. PDT — 5:45 a.m. PDT Wed 15 Jul 4 … nyct transit forum