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/kelicht/ordce
공식 코드Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
https://github.com/laichengen/mcle
공식 코드Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
https://github.com/marcovirgolin/cogs
공식 코드On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations
https://github.com/marcovirgolin/robust-counterfactuals
공식 코드On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations
https://github.com/mariorefoyo/multi-space
공식 코드https://github.com/mariotheone/gretel
공식 코드GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation
https://github.com/masoudhashemi/PermuteAttack
공식 코드PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards
https://github.com/mertkosan/GCFExplainer
공식 코드https://github.com/mlmed/gifsplanation
공식 코드https://github.com/msnizami/ufce
공식 코드Introducing User Feedback-based Counterfactual Explanations (UFCE)
https://github.com/networks-learning/counterfactual-explanations-mdp
공식 코드Counterfactual Explanations in Sequential Decision Making Under Uncertainty
https://github.com/ngminhtri0394/MACDA
공식 코드Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
https://github.com/nina-weng/fastdime_med
공식 코드Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation
https://github.com/nisl-msu/managementzonescfe
공식 코드Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones
https://github.com/norskregnesentral/mccer
공식 코드MCCE: Monte Carlo sampling of realistic counterfactual explanations
https://github.com/ntailab/survtraj
공식 코드https://github.com/omarbahri/sets
공식 코드Shapelet-Based Counterfactual Explanations for Multivariate Time Series
https://github.com/peymanrasouli/care
공식 코드CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations
https://github.com/pinjutien/GANMEX
공식 코드GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation Baselines
https://github.com/prclibo/ice
공식 코드https://github.com/rootsue/causal-rsgan
공식 코드Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation
https://github.com/salesforce/omnixai
공식 코드MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation
https://github.com/secureaiautonomylab/conditionalvlm
공식 코드https://github.com/ssggreg/comrecgc
공식 코드COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
https://github.com/sumugit/fastdcflow
공식 코드Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data
https://github.com/tridungduong16/fairce
공식 코드https://github.com/tridungduong16/multiobj-scm-cf
공식 코드Causality-based Counterfactual Explanation for Classification Models
https://github.com/trustinai/gdvaecode
공식 코드https://github.com/valeoai/octet
공식 코드https://github.com/valeoai/steex
공식 코드https://github.com/vidalt/OCEAN
공식 코드https://github.com/weikai-li/nora
공식 코드https://github.com/yilihsu/asktoknowmore
공식 코드Ask to Know More: Generating Counterfactual Explanations for Fake Claims
https://github.com/yinhanhe123/new_LLM4GNNExplanation
공식 코드https://github.com/yramon/LimeCounterfactual
공식 코드Counterfactual Explanation Algorithms for Behavioral and Textual Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.