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counterfactual

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Showing 2101–2125 of 2765 papers

TitleStatusHype
Learning to reason about and to act on physical cascading events—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Leaving Goals on the Pitch: Evaluating Decision Making in Soccer—0
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements—0
Less is More: Attention Supervision with Counterfactuals for Text Classification—0
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning—0
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE—0
Leveraging Contextual Counterfactuals Toward Belief Calibration—0
Leveraging counterfactual concepts for debugging and improving CNN model performance—0
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies—0
Leveraging Uncertainties to Infer Preferences: Robust Analysis of School Choice—0
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning—0
Life Sequence Transformer: Generative Modelling for Counterfactual Simulation—0
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data—0
Double Robust Representation Learning for Counterfactual PredictionCode0
SemEval-2020 Task 5: Counterfactual RecognitionCode0
Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to RankCode0
Doubly Robust Kernel Statistics for Testing Distributional Treatment EffectsCode0
Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model ChangeCode0
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And DatasetCode0
Learning Audio Concepts from Counterfactual Natural LanguageCode0
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias EvaluationCode0
Learning by exporting with a dose-response functionCode0
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRICode0
Learning Causally Disentangled Representations via the Principle of Independent Causal MechanismsCode0
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