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Counterfactual Explanation

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Returns a contrastive argument that permits to achieve the desired class, e.g., “to obtain this loan, you need XXX of annual revenue instead of the current YYY”

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/GDPlumb/ELDR

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Explaining Groups of Points in Low-Dimensional Representations

https://github.com/GabrieleLozupone/LDAE

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Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging

https://github.com/Luckilyeee/M-CELS

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M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps

https://github.com/Orange-OpenSource/carla_croco_vcnet

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VCNet: A self-explaining model for realistic counterfactual generation

https://github.com/PierreBlanchart/CMBDTC

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An exact counterfactual-example-based approach to tree-ensemble models interpretability

https://github.com/QuintinPope/CLOSS

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Text Counterfactuals via Latent Optimization and Shapley-Guided Search

https://github.com/RuoyuChen10/CCL-FSOD

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Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection

https://github.com/Zhaoyang-Chu/counterfactual-vulnerability-detection

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Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation

https://github.com/alexforel/explainable-cso

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Explainable Data-Driven Optimization: From Context to Decision and Back Again

https://github.com/amir-samadi/counterfactual-explanation

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Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation

https://github.com/anitera/countereval

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Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments

https://github.com/bardhprenkaj/gist

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Graph Style Transfer for Counterfactual Explainability

https://github.com/batmanlab/subject2vec

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Deep Learning for Medical Imaging From Diagnosis Prediction to its Counterfactual Explanation

https://github.com/carlo-abrate/Counterfactual-Explanations-for-Graph-Classification-Through-the-Lenses-of-Density

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Counterfactual Explanations for Graph Classification Through the Lenses of Density

https://github.com/ceciliasalvatore/sfcca

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Supervised Feature Compression based on Counterfactual Analysis

https://github.com/chrisjtan/counter

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Counterfactual Explainable Recommendation

https://github.com/chrystalii/cerec

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Reinforced Path Reasoning for Counterfactual Explainable Recommendation

https://github.com/dmytro-shvetsov/counterfactual-search

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COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images

https://github.com/donato-maragno/robust-ce

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Finding Regions of Counterfactual Explanations via Robust Optimization

https://github.com/dqwang122/rlhex

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Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning

https://github.com/e-delaney/Instance-Based_CFE_TSC

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Instance-based Counterfactual Explanations for Time Series Classification

https://github.com/epanemu/lice

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Generating Likely Counterfactuals Using Sum-Product Networks

https://github.com/evison/Sentires

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Counterfactual Explainable Recommendation

https://github.com/facebookresearch/visual-counterfactuals

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Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals

https://github.com/geofila/Semantic-Counterfactuals

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Choose your Data Wisely: A Framework for Semantic Counterfactuals

https://github.com/guillaumejs2403/ace

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Adversarial Counterfactual Visual Explanations

https://github.com/guillaumejs2403/time

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Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach

https://github.com/hcmlab/GANterfactual

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GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning

https://github.com/icon-lab/dreamr

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DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI

https://github.com/idea-iitd/induce

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Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity

https://github.com/indyfree/CARLA

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CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

https://github.com/j2launay/ebbwbb

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Does It Make Sense to Explain a Black Box With Another Black Box?

https://github.com/jackmedda/rs-bgexplainer

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GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning

https://github.com/jasoneramirez/collectivece

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Generating collective counterfactual explanations in score-based classification via mathematical optimization

https://github.com/jeffnclark/trace

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TraCE: Trajectory Counterfactual Explanation Scores

https://github.com/jiannan-xu/emnlp23_fair_explanation

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Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators

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