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TitleStatusHype
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor SignalsCode0
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges—0
Relevant Irrelevance: Generating Alterfactual Explanations for Image ClassifiersCode0
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope TheoryCode0
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
Debiasing Machine Unlearning with Counterfactual Examples—0
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification ModelsCode0
Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall—0
Graph Neural Networks for Vulnerability Detection: A Counterfactual ExplanationCode1
Interactive Analysis of LLMs using Meaningful Counterfactuals—0
Does It Make Sense to Explain a Black Box With Another Black Box?Code0
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It—0
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror DescentCode1
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome—0
Interval Abstractions for Robust Counterfactual ExplanationsCode0
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular DataCode0
A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and Density—0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence—0
Disentangling ID and Modality Effects for Session-based RecommendationCode1
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications—0
Global Counterfactual DirectionsCode0
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement—0
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models—0
Decomposing and Editing Predictions by Modeling Model ComputationCode2
Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients—0
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement LearningCode0
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery—0
Do Counterfactual Examples Complicate Adversarial Training?—0
HSVI-based Online Minimax Strategies for Partially Observable Stochastic Games with Neural Perception Mechanisms—0
Evidence from counterfactual tasks supports emergent analogical reasoning in large language modelsCode0
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