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TitleStatusHype
Declarative Approaches to Counterfactual Explanations for Classification—0
Shortcomings of Counterfactual Fairness and a Proposed Modification—0
Improving Offline Contextual Bandits with Distributional Robustness—0
COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model—0
Learning Models for Actionable RecourseCode0
An experiment on the mechanisms of racial bias in ML-based credit scoring in Brazil—0
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning—0
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation BaselinesCode0
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners—0
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction—0
Interventional Domain Adaptation—0
Causal Expectation-MaximisationCode0
De-Biased Court's View Generation with Causality—0
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation—0
Label-Efficient Training for Next Response Selection—0
Less is More: Attention Supervision with Counterfactuals for Text Classification—0
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test—0
Exploring Logically Dependent Multi-task Learning with Causal Inference—0
Counterfactual Off-Policy Training for Neural Dialogue Generation—0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data—0
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals—0
Counterfactual Representation Learning with Balancing Weights—0
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification—0
Using Deep Image Priors to Generate Counterfactual Explanations—0
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