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TitleStatusHype
Generating Pragmatic Examples to Train Neural Program SynthesizersCode0
Sacred Ecology: The Environmental Impact of African Traditional Religions—0
Anonymizing medical case-based explanations through disentanglement—0
CATE Estimation With Potential Outcome Imputation From Local Regression—0
Kindness in Multi-Agent Reinforcement Learning—0
Model-based Counterfactual Generator for Gender Bias Mitigation—0
A Survey of the Various Methodologies Towards making Artificial Intelligence More Explainable—0
Grounded Intuition of GPT-Vision's Abilities with Scientific ImagesCode0
Structured Neural Networks for Density Estimation and Causal Inference—0
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New PerspectiveCode0
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life VideosCode0
Separating and Learning Latent Confounders to Enhancing User Preferences Modeling—0
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models—0
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning—0
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised LearningCode0
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense ReasoningCode0
A General Neural Causal Model for Interactive Recommendation—0
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness—0
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessCode0
Faithful and Robust Local Interpretability for Textual PredictionsCode0
Counterfactually Probing Language Identity in Multilingual ModelsCode0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
Optimal Transport for Treatment Effect Estimation—0
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term—0
Counterfactual Fairness for Predictions using Generative Adversarial Networks—0
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