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TitleStatusHype
Counterfactual Image Generation for adversarially robust and interpretable Classifiers—0
Counterfactual Image Networks—0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference—0
Beauty Learning and Counterfactual Inference—0
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems—0
Counterfactual inference for sequential experiments—0
Data science is science's second chance to get causal inference right: A classification of data science tasks—0
Counterfactual fairness: removing direct effects through regularization—0
Causal effects based on distributional distances—0
Counterfactual Inference under Thompson Sampling—0
Counterfactual Fairness Is Not Demographic Parity, and Other Observations—0
Counterfactual Influence as a Distributional Quantity—0
A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems—0
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification—0
Counterfactual Fairness Is Basically Demographic Parity—0
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests—0
Counterfactual Invariance to Spurious Correlations in Text Classification—0
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness—0
Counterfactual Fairness in Text Classification through Robustness—0
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning—0
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation—0
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation—0
Causal Image Synthesis of Brain MR in 3D—0
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources—0
Data-driven Analysis for Understanding Team Sports Behaviors—0
A General Framework for Counterfactual Learning-to-Rank—0
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion—0
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models—0
Counterfactual Fairness for Predictions using Generative Adversarial Networks—0
Counterfactual Learning with General Data-generating Policies—0
Data-Augmented Counterfactual Learning for Bundle Recommendation—0
A preference elicitation interface for collecting dense recommender datasets with rich user information—0
Counterfactually Evaluating Explanations in Recommender Systems—0
Causal inference for data-driven debugging and decision making in cloud computing—0
Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets—0
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing—0
A comprehensive interpretable machine learning framework for Mild Cognitive Impairment and Alzheimer's disease diagnosis—0
Counterfactually Guided Off-policy Transfer in Clinical Settings—0
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis—0
Achieving Diversity in Counterfactual Explanations: a Review and Discussion—0
Counterfactual Matters: Intrinsic Probing For Dialogue State Tracking—0
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation—0
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals—0
Counterfactual Memorization in Neural Language Models—0
Counterfactual Metarules for Local and Global Recourse—0
A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional Data—0
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II—0
Data-Driven Estimation of Heterogeneous Treatment Effects—0
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication—0
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond—0
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