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TitleStatusHype
A Machine Teaching Framework for Scalable Recognition—0
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions—0
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsCode1
Temperature Regret Matching for Imperfect-Information Games—0
Counterfactual Self-Training—0
Beyond Trivial Counterfactual Generations with Diverse Valuable Explanations—0
No Feature Is An Island: Adaptive Collaborations Between Features Improve Adversarial Robustness—0
Time Series Counterfactual Inference with Hidden Confounders—0
Continual Lifelong Causal Effect Inference with Real World Evidence—0
Grounding Physical Object and Event Concepts Through Dynamic Visual Reasoning—0
Counterfactual Thinking for Long-tailed Information Extraction—0
On Single-environment Extrapolations in Graph Classification and Regression Tasks—0
Counterfactual Fairness through Data Preprocessing—0
Neural Network Extrapolations with G-invariances from a Single Environment—0
Model-Free Counterfactual Credit Assignment—0
Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error—0
Causal World Models by Unsupervised Deconfounding of Physical Dynamics—0
Explaining NLP Models via Minimal Contrastive Editing (MiCE)Code1
Partial Identifiability in Discrete Data With Measurement Error—0
Ordered Counterfactual Explanation by Mixed-Integer Linear OptimizationCode0
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial LearningCode1
Difference Rewards Policy Gradients—0
Robustness to Spurious Correlations in Text Classification via Automatically Generated CounterfactualsCode1
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks—0
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations—0
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