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counterfactual

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Showing 1301–1350 of 2765 papers

TitleStatusHype
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages—0
MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications—0
BELLA: Black box model Explanations by Local Linear Approximations—0
Counterfactual Debiasing for Generating Factually Consistent Text Summaries—0
Counterfactually Comparing Abstaining ClassifiersCode0
Unveiling the Potential of Counterfactuals Explanations in Employability—0
Counterfactual Outcome Prediction using Structured State Space Model—0
Bubble Necessity Theorem—0
Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts—0
Achieving Diversity in Counterfactual Explanations: a Review and Discussion—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
SCOTT: Self-Consistent Chain-of-Thought DistillationCode1
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Think Rationally about What You See: Continuous Rationale Extraction for Relation ExtractionCode0
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
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
Causal Reasoning and Large Language Models: Opening a New Frontier for CausalityCode2
Algorithmic Recourse with Missing Values—0
A New Class of Explanations for Classifiers with Non-Binary Features—0
Interpretable Neural-Symbolic Concept ReasoningCode1
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
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual ReasoningCode0
Looking Similar, Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning—0
Counterfactual Explanations of Neural Network-Generated Response CurvesCode0
Meta-causal Learning for Single Domain Generalization—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
Causal Repair of Learning-enabled Cyber-physical Systems—0
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain 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
SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering—0
Counterfactual Learning on Graphs: A SurveyCode2
The Effect of Counterfactuals on Reading Chest X-raysCode1
Mitigating Source Bias for Fairer Weak SupervisionCode0
One-Step Estimation of Differentiable Hilbert-Valued ParametersCode0
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