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counterfactual

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Showing 1776–1800 of 2765 papers

TitleStatusHype
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction—0
CORE: A Retrieve-then-Edit Framework for Counterfactual Data GenerationCode0
Experiential Explanations for Reinforcement LearningCode0
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations—0
CLEAR: Causal Explanations from Attention in Neural Recommenders—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
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
Machine Reading, Fast and Slow: When Do Models “Understand” Language?—0
Transfer Learning for Individual Treatment Effect Estimation—0
The COVID That Wasn’t: Counterfactual Journalism Using GPT—0
Neural Causal Models for Counterfactual Identification and Estimation—0
Local and Regional Counterfactual Rules: Summarized and Robust Recourses—0
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
Counterfactual Explanations Using Optimization With Constraint LearningCode0
Electricity storage requirements to support the transition towards high renewable penetration levels: Application to the Greek power system—0
Towards Faithful Model Explanation in NLP: A Survey—0
Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand—0
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation—0
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