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TitleStatusHype
Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making—0
Studying Large Language Model Generalization with Influence FunctionsCode1
Diffusion Model in Causal Inference with Unmeasured ConfoundersCode0
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge ConceptsCode0
Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation—0
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data LandscapesCode0
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain ImagesCode1
Assessing Systematic Weaknesses of DNNs using Counterfactuals—0
Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare—0
A Multidimensional Analysis of Social Biases in Vision Transformers—0
User-Controllable Recommendation via Counterfactual Retrospective and Prospective ExplanationsCode0
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference—0
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' RiskinessCode1
Counterfactual Graph Transformer for Traffic Flow Prediction—0
Model-based Causal Bayesian Optimization—0
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources—0
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?Code1
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems—0
A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game TheoryCode0
A Geometric Notion of Causal ProbingCode0
Counterfactual Explanations for Graph Classification Through the Lenses of DensityCode0
Using Probabilistic Stated Preference Analyses to Understand Actual Choices—0
Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space—0
Counterfactual Explanation Policies in RL—0
Unbiased Delayed Feedback Label Correction for Conversion Rate PredictionCode0
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network—0
CFR-p: Counterfactual Regret Minimization with Hierarchical Policy Abstraction, and its Application to Two-player Mahjong—0
Advancing Ad Auction Realism: Practical Insights & Modeling Implications—0
Identifying Interpretable Subspaces in Image RepresentationsCode1
Asymptotically Unbiased Synthetic Control Methods by Density Matching—0
Modifications of the Miller definition of contrastive (counterfactual) explanations—0
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual ExplanationsCode1
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRICode0
Rumor Detection with Diverse Counterfactual EvidenceCode1
Results on Counterfactual Invariance—0
Learning for Counterfactual Fairness from Observational Data—0
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations—0
Efficient Computation of Counterfactual Bounds—0
Explaining and visualizing black-box models through counterfactual pathsCode0
Data-Scarce Identification of Game Dynamics via Sum-of-Squares Optimization—0
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations—0
Leveraging Factored Action Spaces for Off-Policy EvaluationCode0
Advertiser Learning in Direct Advertising Markets—0
Leveraging Contextual Counterfactuals Toward Belief Calibration—0
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation—0
Budgeting Counterfactual for Offline RL—0
What Does it Take to Control Global Temperatures? A toolbox for testing and estimating the impact of economic policies on climate—0
Synthetic Decomposition for Counterfactual Predictions—0
A Causal Ordering Prior for Unsupervised Representation Learning—0
Towards Fair Graph Neural Networks via Graph CounterfactualCode1
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