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Selection bias

Papers

Showing 125 of 365 papers

TitleStatusHype
Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and ArenaCode2
RecFlow: An Industrial Full Flow Recommendation DatasetCode2
Unifying Online and Counterfactual Learning to RankCode1
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and MetricsCode1
SurvTRACE: Transformers for Survival Analysis with Competing EventsCode1
Uncovering Main Causalities for Long-tailed Information ExtractionCode1
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATRCode1
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the CentroidCode1
Gradient Imitation Reinforcement Learning for Low Resource Relation ExtractionCode1
Mathematical Capabilities of ChatGPTCode1
PanNuke Dataset Extension, Insights and BaselinesCode1
Difference-in-Differences with a Continuous TreatmentCode1
Bias and Debias in Recommender System: A Survey and Future DirectionsCode1
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular DataCode1
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate EstimationCode1
Exploring Transformer Backbones for Heterogeneous Treatment Effect EstimationCode1
An Information-theoretic Approach to Distribution ShiftsCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail PerformanceCode1
EVOS: Efficient Implicit Neural Training via EVOlutionary SelectorCode1
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection BiasCode1
Matched sample selection with GANs for mitigating attribute confoundingCode1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection BiasCode1
Large Language Models Are Not Robust Multiple Choice SelectorsCode1
Unmasking the Mask -- Evaluating Social Biases in Masked Language ModelsCode1
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