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TitleStatusHype
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor SignalsCode0
Relevant Irrelevance: Generating Alterfactual Explanations for Image ClassifiersCode0
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope TheoryCode0
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges—0
Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model EvaluationCode0
Return to Office and the Tenure Distribution—0
Counterfactual and Semifactual Explanations in Abstract Argumentation: Formal Foundations, Complexity and Computation—0
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows—0
Causal K-Means Clustering—0
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System—0
A deep causal inference model for fully-interpretable travel behaviour analysis—0
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual ReasoningCode4
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data—0
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting—0
Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary PronounsCode0
Statistics and explainability: a fruitful alliance—0
Generating Robust Counterfactual Witnesses for Graph Neural Networks—0
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer StudyCode0
SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning PoliciesCode0
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic ModelsCode1
CEval: A Benchmark for Evaluating Counterfactual Text GenerationCode0
Learning Actionable Counterfactual Explanations in Large State Spaces—0
SIDEs: Separating Idealization from Deceptive Explanations in xAI—0
Graph Neural Networks for Vulnerability Detection: A Counterfactual ExplanationCode1
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification ModelsCode0
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