Selection bias

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 143 papers with code (365 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• PanNuke Dataset Extension, Insights and Baselines
  24 Mar 2020 8 repositories listed Syntology ran 4 of 40 samples · 36 unverified · 1 pointer-only (licence)
  The emerging area of computational pathology (CPath) is ripe ground for the application of deep learning (DL) methods to healthcare due to the sheer volume of raw pixel data in whole-slide images (WSIs) of cancerous…
• Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
  21 Apr 2018 6 repositories listed
  To the best of our knowledge, this is the first public dataset which contains samples with sequential dependence of click and conversion labels for CVR modeling.
• Active Structure Learning of Causal DAGs via Directed Clique Tree
  1 Nov 2020 4 repositories listed
  Most existing works focus on worst-case or average-case lower bounds for the number of interventions required to orient a DAG.
• A Debiased MDI Feature Importance Measure for Random Forests
  26 Jun 2019 3 repositories listed
  Based on the original definition of MDI by Breiman et al.
• EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
  13 Dec 2024 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  We propose EVOlutionary Selector (EVOS), an efficient training paradigm for accelerating Implicit Neural Representation (INR).
• Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models
  16 Sep 2023 2 repositories listed
  LLMs are increasingly powerful and widely used to assist users in a variety of tasks.
• Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR
  3 Apr 2023 2 repositories listed
  Therefore, the degree of overfitting for clutter reflects the non-causality of deep learning in SAR ATR.
• Mathematical Capabilities of ChatGPT
  31 Jan 2023 2 repositories listed
  We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, as well as hand-crafted ones, using a…
• Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
  30 Oct 2022 2 repositories listed Syntology ran 6 of 12 samples · 6 unverified · 6 pointer-only (licence)
  In this paper, we find that this problem usually occurs when the positions of support samples are in the vicinity of task centroid -- the mean of all class centroids in the task.
• Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
  30 Sep 2022 2 repositories listed
  Modern language modeling tasks are often underspecified: for a given token prediction, many words may satisfy the user's intent of producing natural language at inference time, however only one word will minimize the…
• Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules
  26 Apr 2021 2 repositories listed
  Algorithms make a growing portion of policy and business decisions.
• Unmasking the Mask -- Evaluating Social Biases in Masked Language Models
  15 Apr 2021 2 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  To overcome the above-mentioned disfluencies, we propose All Unmasked Likelihood (AUL), a bias evaluation measure that predicts all tokens in a test case given the MLM embedding of the unmasked input.
• Automated Dependence Plots
  2 Dec 2019 2 repositories listed
  To address these drawbacks, we formalize a method for automating the selection of interesting PDPs and extend PDPs beyond showing single features to show the model response along arbitrary directions, for example in raw…
• To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions
  15 Jul 2019 2 repositories listed
  At the moment, two methodologies for dealing with bias prevail in the field of LTR: counterfactual methods that learn from historical data and model user behavior to deal with biases; and online methods that perform…
• Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
  15 May 2019 2 repositories listed
  Natural Language Sentence Matching (NLSM) has gained substantial attention from both academics and the industry, and rich public datasets contribute a lot to this process.
• Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
  30 Apr 2019 2 repositories listed Syntology ran 1 of 23 samples · 22 unverified
  The challenges for this problem are two-fold: on the one hand, we have to derive a causal estimator to estimate the causal quantity from observational data, where there exists confounding bias; on the other hand, we…
• LLM-Generated Feedback Supports Learning If Learners Choose to Use It
  20 Jun 2025 1 repository listed
  Large language models (LLMs) are increasingly used to generate feedback, yet their impact on learning remains underexplored, especially compared to existing feedback methods.
• Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
  9 Jun 2025 1 repository listed
  In this paper, we release this assumption and propose a learning algorithm based on likelihood maximization to learn a prediction model.
• Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
  4 Jun 2025 1 repository listed
  Disaggregated evaluation across subgroups is critical for assessing the fairness of machine learning models, but its uncritical use can mislead practitioners.
• Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
  29 Apr 2025 1 repository listed
  To address the former, conventional techniques that require detailed knowledge in the form of causal graphs have been proposed.
• On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
  14 Apr 2025 1 repository listed
  Multimodal representation learning, exemplified by multimodal contrastive learning (MMCL) using image-text pairs, aims to learn powerful representations by aligning cues across modalities.
• When Selection Meets Intervention: Additional Complexities in Causal Discovery
  10 Mar 2025 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Even when recognized, the existing paradigm for interventional causal discovery still fails to address it.
• Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning
  27 Nov 2024 1 repository listed
  Selection bias poses a critical challenge for fairness in machine learning, as models trained on data that is less representative of the population might exhibit undesirable behavior for underrepresented profiles.
• Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation
  29 Oct 2024 1 repository listed
  Experimental results reveal linguistic inequalities: 1) high-resource languages stand out in Monolingual Knowledge Extraction; 2) Indo-European languages lead RALMs to provide answers directly from documents,…
• RecFlow: An Industrial Full Flow Recommendation Dataset
  28 Oct 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  Industrial recommendation systems (RS) rely on the multi-stage pipeline to balance effectiveness and efficiency when delivering items from a vast corpus to users.
• Heterogeneous Random Forest
  24 Oct 2024 1 repository listed
  To assess the comparative performance of HRF against other widely adopted ensemble methods, we conducted tests on 52 datasets, comprising both real-world and synthetic data.
• Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation
  21 Oct 2024 1 repository listed
  Diverging from previous methods focused on each local pixel value, the CORAL-Correlation Consistency Module (CCM) in the CORN leverages second-order statistical information to capture global structural features by…
• CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
  20 Oct 2024 1 repository listed
  The use of large language models (LLMs) as automated evaluation tools to assess the quality of generated natural language, known as LLMs-as-Judges, has demonstrated promising capabilities and is rapidly gaining…
• DiffPO: A causal diffusion model for learning distributions of potential outcomes
  11 Oct 2024 1 repository listed
  In this paper, we propose a novel causal diffusion model called DiffPO, which is carefully designed for reliable inferences in medicine by learning the distribution of potential outcomes.
• DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning
  30 Sep 2024 1 repository listed
  Fairness in machine learning seeks to mitigate model bias against individuals based on sensitive features such as sex or age, often caused by an uneven representation of the population in the training data due to…

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.