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TitleStatusHype
Towards Faithful Model Explanation in NLP: A Survey—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
A Survey of Deep Causal Models and Their Industrial ApplicationsCode1
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
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation—0
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango—0
Game-theoretic Objective Space PlanningCode0
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible ScenariosCode0
Machine Reading, Fast and Slow: When Do Models "Understand" Language?—0
Semi-supervised Batch Learning From Logged Data—0
Variational Causal InferenceCode1
Bias Challenges in Counterfactual Data Augmentation—0
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes—0
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
Estimating the Effects of Syrian Civil War—0
Deep Learning for Medical Imaging From Diagnosis Prediction to its Counterfactual ExplanationCode0
Smiles in Profiles: Improving Efficiency While Reducing Disparities in Online Marketplaces—0
Partial Counterfactual Identification for Infinite Horizon Partially Observable Markov Decision Process—0
Formalising the Robustness of Counterfactual Explanations for Neural NetworksCode0
RAGUEL: Recourse-Aware Group Unfairness Elimination—0
Dynamic Causal Collaborative FilteringCode0
Deep Structural Causal Shape Models—0
Shapelet-Based Counterfactual Explanations for Multivariate Time SeriesCode0
Twin Papers: A Simple Framework of Causal Inference for Citations via CouplingCode0
Intersection of Parallels as an Early Stopping CriterionCode0
Disentangled Representation with Causal Constraints for Counterfactual Fairness—0
Transcending XAI Algorithm Boundaries through End-User-Inspired Design—0
The Counterfactual-Shapley Value: Attributing Change in System Metrics—0
Approximated Doubly Robust Search Relevance Estimation—0
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution GeneralizationCode0
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects—0
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems—0
Probabilistic Variational Causal Approach in Observational Studies—0
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation—0
Learning to Learn to Predict Performance Regressions in Production at Meta—0
SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks using cGANsCode0
Counterfactual Fairness Is Basically Demographic Parity—0
Forecasting Algorithms for Causal Inference with Panel DataCode0
Difference-in-Differences with a Misclassified Treatment—0
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations—0
Differentially Private Counterfactuals via Functional Mechanism—0
From Workplace to Residence: The Spillover Effects of Minimum Wage Policies on Local Housing Markets—0
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers—0
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences—0
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification—0
PASTA: A Dataset for Modeling Participant States in Narratives—0
What is Healthy? Generative Counterfactual Diffusion for Lesion LocalizationCode1
Efficient Classification with Counterfactual Reasoning and Active LearningCode0
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