https://github.com/moffran/calibrated_explanations
공식 코드Calibrated Explanations: with Uncertainty Information and Counterfactuals
Papers with Code 아카이브
Explainable Artificial Intelligence (XAI)
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Explainable Artificial Intelligence
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/momentum-lab-workspace/deepseer
공식 코드DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
https://github.com/monjurulkarim/xai-accident
공식 코드Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents
https://github.com/mshaikh2/HDL_Forensics
공식 코드https://github.com/msnizami/ufce
공식 코드Introducing User Feedback-based Counterfactual Explanations (UFCE)
https://github.com/multitel-ai/evaluation-xai-metrics-gd6-trail
공식 코드An Experimental Investigation into the Evaluation of Explainability Methods
https://github.com/nexer8/se3d
공식 코드SE3D: A Framework For Saliency Method Evaluation In 3D Imaging
https://github.com/ngminhtri0394/MACDA
공식 코드Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
https://github.com/niftynans/climax
공식 코드CLIMAX: An exploration of Classifier-Based Contrastive Explanations
https://github.com/nitucristian/automaticwordpuzzlessolversystem
공식 코드https://github.com/njohnson99/slice-discovery-human-eval
공식 코드Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
https://github.com/nkondapa/discoveringconcisenetworkexplanations
공식 코드https://github.com/nliulab/sim-shapley
공식 코드SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation
https://github.com/ntubiolin/xcos
공식 코드xCos: An Explainable Cosine Metric for Face Verification Task
https://github.com/o-mey/xai-vibration-fault-detection
공식 코드https://github.com/omarbahri/sets
공식 코드Shapelet-Based Counterfactual Explanations for Multivariate Time Series
https://github.com/opengraphxai/benchmarks
공식 코드https://github.com/openvinotoolkit/datumaro
공식 코드Recipro-CAM: Fast gradient-free visual explanations for convolutional neural networks
https://github.com/openxaiproject/pnpxai
공식 코드https://github.com/oscarclivio/pwshap
공식 코드PWSHAP: A Path-Wise Explanation Model for Targeted Variables
https://github.com/pbiecek/challenges-xai-aging-aaai23
공식 코드Challenges facing the explainability of age prediction models: case study for two modalities
https://github.com/pcwhy/xml-intrusiondetection
공식 코드Explainable AI for Comparative Analysis of Intrusion Detection Models
https://github.com/peeples-lab/xai_analysis
공식 코드https://github.com/philine-bommer/climate_x_quantus
공식 코드https://github.com/pievos101/cpath
공식 코드Explaining and visualizing black-box models through counterfactual paths
https://github.com/pikaplan/LearnExplaiNet
공식 코드Learning local discrete features in explainable-by-design convolutional neural networks
https://github.com/qi657/as-xai
공식 코드AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN
https://github.com/qiaw99/fitcf
공식 코드FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
https://github.com/qiuyuezhibo/xaieeg
공식 코드Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals
https://github.com/quinfer/fXAI
공식 코드https://github.com/rachtibat/zennit-crp
공식 코드From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
https://github.com/razla/foiling-explanations-in-deep-neural-networks
공식 코드https://github.com/razla/xai-based-detection-of-adversarial-attacks-on-deepfake-detectors
공식 코드XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
https://github.com/rcrupi/deepgrb
공식 코드https://github.com/rezacsedu/xai-for-bioinformatics
공식 코드Explainable AI for Bioinformatics: Methods, Tools, and Applications
https://github.com/riccotti/ece
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.