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TitleStatusHype
Global Counterfactual Explainer for Graph Neural NetworksCode1
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities—0
Diffusion Visual Counterfactual ExplanationsCode1
Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic ScenarioCode1
Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference—0
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications—0
MoCoDA: Model-based Counterfactual Data AugmentationCode1
Adversarial De-confounding in Individualised Treatment Effects Estimation—0
Anytime-valid off-policy inference for contextual banditsCode1
Data-Augmented Counterfactual Learning for Bundle Recommendation—0
CPL: Counterfactual Prompt Learning for Vision and Language Models—0
Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual ExplanationsCode0
CLEAR: Generative Counterfactual Explanations on Graphs—0
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual SamplesCode0
Fair Effect Attribution in Parallel Online Experiments—0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation—0
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media—0
The COVID That Wasn't: Counterfactual Journalism Using GPT—0
Walk a Mile in Their Shoes: a New Fairness Criterion for Machine Learning—0
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning—0
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment—0
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations—0
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints—0
Deep Counterfactual Estimation with Categorical Background VariablesCode1
Causal and Counterfactual Views of Missing Data Models—0
Unit Selection: Case Study and Comparison with A/B Test Heuristic—0
CORE: A Retrieve-then-Edit Framework for Counterfactual Data GenerationCode0
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction—0
Experiential Explanations for Reinforcement LearningCode0
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations—0
EgoTaskQA: Understanding Human Tasks in Egocentric VideosCode1
CLEAR: Causal Explanations from Attention in Neural Recommenders—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
Causal Inference for Chatting HandoffCode1
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability?—0
Bikeability and the induced demand for cycling—0
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees—0
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction—0
AI-Assisted Discovery of Quantitative and Formal Models in Social ScienceCode0
The COVID That Wasn’t: Counterfactual Journalism Using GPT—0
Machine Reading, Fast and Slow: When Do Models “Understand” Language?—0
Transfer Learning for Individual Treatment Effect Estimation—0
Neural Causal Models for Counterfactual Identification and Estimation—0
Predicting Cellular Responses with Variational Causal Inference and Refined Relational InformationCode1
Local and Regional Counterfactual Rules: Summarized and Robust Recourses—0
Causal Proxy Models for Concept-Based Model ExplanationsCode1
Debiasing Graph Neural Networks via Learning Disentangled Causal SubstructureCode0
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual ExplanationsCode0
Robust Causality and False Attribution in Data-Driven Earth Science Discoveries—0
Answer-Set Programs for Repair Updates and Counterfactual Interventions—0
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