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TitleStatusHype
Counterfactual Outcome Prediction using Structured State Space Model—0
Bubble Necessity Theorem—0
Achieving Diversity in Counterfactual Explanations: a Review and Discussion—0
Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts—0
SECRETS: Subject-Efficient Clinical Randomized Controlled Trials using Synthetic Intervention—0
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models—0
ReMask: A Robust Information-Masking Approach for Domain Counterfactual GenerationCode0
Think Rationally about What You See: Continuous Rationale Extraction for Relation ExtractionCode0
Are demographically invariant models and representations in medical imaging fair?—0
On the Impact of Outlier Bias on User ClicksCode0
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples—0
A New Class of Explanations for Classifiers with Non-Binary Features—0
Algorithmic Recourse with Missing Values—0
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk MinimizationCode0
Implicit Counterfactual Data Augmentation for Robust Learning—0
Disagreement amongst counterfactual explanations: How transparency can be deceptive—0
TIGTEC : Token Importance Guided TExt Counterfactuals—0
Generating robust counterfactual explanations—0
A bounded rationality account of dependency length minimization in Hindi—0
SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control—0
The Dataset Multiplicity Problem: How Unreliable Data Impacts PredictionsCode0
An Offline Metric for the Debiasedness of Click ModelsCode0
An Evaluation on Large Language Model Outputs: Discourse and Memorization—0
counterfactuals: An R Package for Counterfactual Explanation Methods—0
Looking Similar, Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning—0
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual ReasoningCode0
Counterfactual Explanations of Neural Network-Generated Response CurvesCode0
Meta-causal Learning for Single Domain Generalization—0
Causal Repair of Learning-enabled Cyber-physical Systems—0
Personalising Digital Health Behaviour Change Interventions using Machine Learning and Domain Knowledge—0
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models—0
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering—0
SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering—0
Bounding probabilities of causation through the causal marginal problem—0
With great power (prices) comes great tail pipe emissions? \\ A natural experiment of electricity prices and electric car adoption—0
Mitigating Source Bias for Fairer Weak SupervisionCode0
One-Step Estimation of Differentiable Hilbert-Valued ParametersCode0
CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics—0
Zero-shot Model Diagnosis—0
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical ImagingCode0
Interactive Explanations by Conflict Resolution via Argumentative Exchanges—0
Online Learning for Incentive-Based Demand Response—0
Achieving Counterfactual Fairness with Imperfect Structural Causal ModelCode0
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing FlowsCode0
Causal Image Synthesis of Brain MR in 3D—0
The Elasticity of Quantitative Investment—0
Sensitivity Analysis in Unconditional Quantile Effects—0
Differentially Private Synthetic Control—0
Uncertainty Calibration for Counterfactual Propensity Estimation in RecommendationCode0
Semi-supervised counterfactual explanations—0
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