Topic: concept-based-explanations Goto Github
Some thing interesting about concept-based-explanations
Some thing interesting about concept-based-explanations
concept-based-explanations,Code for the paper "Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis", CVPRW 2023.
User: cristianopatricio
concept-based-explanations,Code for the paper "Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models", ISBI 2024.
User: cristianopatricio
concept-based-explanations,This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human concepts. For more details, please read our NeurIPS 2022 paper: 'Concept Activation Regions: a Generalized Framework for Concept-Based Explanations.
User: jonathancrabbe
concept-based-explanations,The Concept Bottleneck Shift Detection (CBSD) methods for explaining and detecting various dataset shifts.
User: maleakhiw
concept-based-explanations,Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"
User: mateoespinosa
Home Page: https://arxiv.org/abs/2209.09056
concept-based-explanations,Official Implementation of TMLR's paper: "TabCBM: Concept-based Interpretable Neural Networks for Tabular Data"
User: mateoespinosa
Home Page: https://openreview.net/pdf?id=TIsrnWpjQ0
concept-based-explanations,Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.
User: maxdreyer
concept-based-explanations,Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.
User: maxdreyer
concept-based-explanations,Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
User: mertyg
concept-based-explanations,all interview questions based on frontend, backend, and data structures and algorithms (DSA) topics can be quite extensive
User: shikhu51197
concept-based-explanations,Learning Bottleneck Concepts in Image Classification
User: wbw520
concept-based-explanations,This is a list of awesome prototype-based papers for explainable artificial intelligence.
User: xmq1221
concept-based-explanations,ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
Organization: zju-vipa
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