Bias-Aware Mislabeling Detection via Decoupled Confident Learning | Paper Citation Record

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This paper cites Pathways for design research on artificial intelligence.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Pathways for design research on artificial intelligence

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This paper cites How management users view information systems.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning How management users view information systems

Reference 2

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Observation 87be7181-9a2c-47a8-bef9-1cb5d9870d0d · outbound

This paper cites Big data, data science, and analytics: The opportunity and challenge for is research.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Big data, data science, and analytics: The opportunity and challenge for is research

Reference 3

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This paper cites The effect of differential victim crime reporting on predictive policing systems.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning The effect of differential victim crime reporting on predictive policing systems

Reference 4

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This paper cites Learning from noisy examples.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Learning from noisy examples

Reference 5

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Observation 314bd3ea-7e4b-4dee-94ce-5cc9d38e058c · outbound

This paper cites Managing data quality risk in accounting information systems.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Managing data quality risk in accounting information systems

Reference 6

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This paper cites Modeling data and process quality in multi-input, multi-output information systems.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Modeling data and process quality in multi-input, multi-output information systems

Reference 7

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This paper cites Big data’s disparate impact.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Big data’s disparate impact

Reference 8

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Observation 7a7a4969-2300-424c-9ffa-3076af674e47 · outbound

This paper cites Active label cleaning for improved dataset quality under resource constraints.Nat.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Active label cleaning for improved dataset quality under resource constraints.Nat

Reference 9

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Observation b8bd7947-509f-44ab-9498-ed77851b429c · outbound

This paper cites Machine learning in healthcare: Fairness, issues, and challenges.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Machine learning in healthcare: Fairness, issues, and challenges

Reference 10

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Observation ed1d5272-c6d0-452d-9876-2008382da5c8 · outbound

This paper cites Language (Technology) is Power: A Critical Survey of "Bias" in NLP.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 11

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This paper cites Man is to computer programmer as woman is to homemaker? debiasing word embeddings.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Man is to computer programmer as woman is to homemaker? debiasing word embeddings

Reference 12

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This paper cites The challenges of data quality and data quality assessment in the big data era.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning The challenges of data quality and data quality assessment in the big data era

Reference 13

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Observation fd51ec92-4a48-4947-aff7-360edabcaf75 · outbound

This paper cites Adaptive sampling strategies to construct equitable training datasets.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Adaptive sampling strategies to construct equitable training datasets

Reference 14

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Observation d0a4f7f6-9c56-472c-aadb-5106a14e16a9 · outbound

This paper cites Semantics derived automatically from language corpora contain human-like biases.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Semantics derived automatically from language corpora contain human-like biases

Reference 15

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Observation 16a89498-9ea8-48aa-9e2d-f05d2c4e2728 · outbound

This paper cites Internet, social media and online hate speech.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Internet, social media and online hate speech

Reference 16

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This paper cites Understanding and utilizing deep neural networks trained with noisy labels.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Understanding and utilizing deep neural networks trained with noisy labels

Reference 17

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This paper cites Modeling spatial and temporal set-based constraints during conceptual database design.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Modeling spatial and temporal set-based constraints during conceptual database design

Reference 18

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This paper cites Hate speech classifiers learn normative social stereotypes.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Hate speech classifiers learn normative social stereotypes

Reference 19

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This paper cites Dealing with disagree- ments: Looking beyond the majority vote in subjective annotations.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Dealing with disagree- ments: Looking beyond the majority vote in subjective annotations

Reference 20

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This paper cites Competing on analytics.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Competing on analytics

Reference 21

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This paper cites Maximum likelihood estimation of observer error-rates using the em algorithm.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Maximum likelihood estimation of observer error-rates using the em algorithm

Reference 22

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This paper cites Algorithmic fairness in 30 business analytics: Directions for research and practice.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Algorithmic fairness in 30 business analytics: Directions for research and practice

Reference 23

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This paper cites Reassessing data quality for information products.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Reassessing data quality for information products

Reference 24

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This paper cites A checklist to combat cognitive biases in crowdsourcing.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning A checklist to combat cognitive biases in crowdsourcing

Reference 25

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Observation 48ba64f3-9c42-4616-9acd-35dcbfee53e6 · outbound

This paper cites Decoupled classifiers for group-fair and efficient machine learning.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Decoupled classifiers for group-fair and efficient machine learning

Reference 26

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This paper cites Cognitive biases in crowdsourcing.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Cognitive biases in crowdsourcing

Reference 27

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This paper cites The foundations of cost-sensitive learning.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning The foundations of cost-sensitive learning

Reference 28

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This paper cites Fairness evaluation in presence of biased noisy labels.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Fairness evaluation in presence of biased noisy labels

Reference 29

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This paper cites Classification in the presence of label noise: a survey.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Classification in the presence of label noise: a survey

Reference 30

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Bias-Aware Mislabeling Detection via Decoupled Confident Learning “un” fair machine learning algorithms

Reference 31

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Bias-Aware Mislabeling Detection via Decoupled Confident Learning Artificial intelligence and algorithmic bias: Source, detection, mitigation, and implications

Reference 32

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This paper cites Do electronic health record systems increase medicare reimbursements? the moderating effect of the recovery audit program.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Do electronic health record systems increase medicare reimbursements? the moderating effect of the recovery audit program

Reference 33

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Bias-Aware Mislabeling Detection via Decoupled Confident Learning Training deep neural-networks using a noise adap- tation layer

Reference 34

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This paper cites Same same, but different: Conditional multi-task learning for demographic-specific toxicity detection.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Same same, but different: Conditional multi-task learning for demographic-specific toxicity detection

Reference 35

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Observation d6685a5d-6e6f-41f7-b137-ce5473358022 · outbound

This paper cites Co-teaching: Robust training of deep neural networks with extremely noisy labels.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Co-teaching: Robust training of deep neural networks with extremely noisy labels

Reference 36

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This paper cites Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications.Int.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications.Int

Reference 37

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3b4c1a9-36c8-482a-a998-34a8d28d3894 · outbound

This paper cites Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites

Reference 38

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Bias-Aware Mislabeling Detection via Decoupled Confident Learning Crowdsourcing: How the Power of the Crowd is Driving the Future of Business

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.174864Z

Source-reported events for the cited work

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Bias-Aware Mislabeling Detection via Decoupled Confident Learning Differential validity of employment tests by race: A comprehensive review and analysis

Reference 40

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Bias-Aware Mislabeling Detection via Decoupled Confident Learning Measurement and fairness

Reference 41

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Observation 8c559a26-576a-42e7-b5da-2ce81b91f8eb · outbound

This paper cites Emergence of data analytics in the information systems curriculum.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Emergence of data analytics in the information systems curriculum

Reference 42

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Source-reported events for the cited work

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This paper cites A systematic review of hate speech automatic detection using natural language processing.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning A systematic review of hate speech automatic detection using natural language processing

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.140615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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This paper cites Identifying and correcting label bias in machine learning.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Identifying and correcting label bias in machine learning

Reference 44

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5200dc6-6ad5-4f4e-b697-b4628913702a · outbound

This paper cites Beyond synthetic noise: Deep learning on controlled noisy labels.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Beyond synthetic noise: Deep learning on controlled noisy labels

Reference 45

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This paper cites Classifying without discriminating.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Classifying without discriminating

Reference 46

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Source-reported events for the cited work

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Observation cf7a10cd-736c-486e-acb3-2533bf5046ed · outbound

This paper cites Measuring a hate speech spectrum with faceted Rasch item response theory and perspective-aware, explainable-by-design deep learning.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Measuring a hate speech spectrum with faceted Rasch item response theory and perspective-aware, explainable-by-design deep learning

Reference 47

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This paper cites Demand-aware career path recommendations: A reinforcement learning approach.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Demand-aware career path recommendations: A reinforcement learning approach

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.110047Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25641880-e348-4c0a-947c-9ca2a78f16d0 · outbound

This paper cites On data reliability assessment in accounting information systems.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning On data reliability assessment in accounting information systems

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.102588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8bdee4a-2435-4f19-a11d-800c9becffa3 · outbound

This paper cites When more data lead us astray: Active data acquisition in the presence of label bias.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning When more data lead us astray: Active data acquisition in the presence of label bias

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.095319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d1d5e47-4ba3-4b38-bb8f-06383969d019 · outbound

This paper cites Label bias: A pervasive and invisibilized problem.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Label bias: A pervasive and invisibilized problem

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.088196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7019313-1d08-495f-b7c3-2cc3571e3179 · outbound

This paper cites Detecting and correcting for label shift with black box predictors.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Detecting and correcting for label shift with black box predictors

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.081216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2708663a-db96-46fb-b683-93201880ee42 · outbound

This paper cites Financial statement audits and data breaches.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Financial statement audits and data breaches

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.074244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b3efa04-579a-4626-af3d-206a0fa42030 · outbound

This paper cites Data analytics research-informed teaching in a digital technologies curriculum.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Data analytics research-informed teaching in a digital technologies curriculum

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.067183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d74020f5-0f43-405b-b187-653f0ec77103 · outbound

This paper cites Normalized loss functions for deep learning with noisy labels.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Normalized loss functions for deep learning with noisy labels

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.059788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e05f7ba-9290-4936-a8a7-7a3fce249a65 · outbound

This paper cites Using customer analytics to boost corporate performance, 2014.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Using customer analytics to boost corporate performance, 2014

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.052623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f4a07d8e-cd1a-46a7-a8ee-5d0cd9635dd9 · outbound

This paper cites Community standards – hateful conduct.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Community standards – hateful conduct

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.045196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8dc50f03-17f5-46b0-b6ed-7a6100022f3c · outbound

This paper cites Targets of online hate speech in context: a comparative digital social science analysis of comments on public facebook pages from romania and hungary.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Targets of online hate speech in context: a comparative digital social science analysis of comments on public facebook pages from romania and hungary

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.037541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 349a1f2a-a7cf-4b5f-a59b-910250ccb5f3 · outbound

This paper cites Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T18:50:59.631555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90cb9b6e-79fe-486f-b13d-a7f6d518cfb8 · outbound

This paper cites On the inequity of predicting a while hoping for b.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning On the inequity of predicting a while hoping for b

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.029704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d5a3b8c-5ee6-46ab-8f1d-a1ceec362961 · outbound

This paper cites Learning with noisy labels.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Learning with noisy labels

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.022668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 65afe578-1928-4d8a-8cc4-96aa4f7efb65 · outbound

This paper cites Ai risk management framework (ai rmf) playbook, 2023.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Ai risk management framework (ai rmf) playbook, 2023

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.015285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a6eb1938-4ed1-4efa-a954-1e6e7bf7e722 · outbound

This paper cites Confident learning: Estimating uncertainty in dataset labels.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Confident learning: Estimating uncertainty in dataset labels

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.007582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c3ebf63-8da0-4945-b86e-febc1a63766f · outbound

This paper cites Dissecting racial bias in an algorithm used to manage the health of populations.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Dissecting racial bias in an algorithm used to manage the health of populations

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:51:00.000389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f27b0663-ba64-4a90-8403-714e32fda61a · outbound

This paper cites Crowdsourcing stereotypes: Linguistic bias in metadata generated via gwap.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Crowdsourcing stereotypes: Linguistic bias in metadata generated via gwap

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.993189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 68cca6fd-e900-434a-bc21-e12bedc68e29 · outbound

This paper cites Assessing data quality for information products: impact of selection, projection, and cartesian product.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Assessing data quality for information products: impact of selection, projection, and cartesian product

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.985824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a30e1b0-def0-445b-82b5-eec6b2669e8b · outbound

This paper cites Problem formulation and fairness.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Problem formulation and fairness

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.978831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5d7fba4d-6511-4ebe-9070-7584e768e0c9 · outbound

This paper cites Making deep neural networks robust to label noise: A loss correction approach.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Making deep neural networks robust to label noise: A loss correction approach

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.971560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 33269e6b-737e-479a-8db7-babffdfa2165 · outbound

This paper cites Machine bias, 2016.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Machine bias, 2016

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.964057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f195975e-3eb3-4626-a755-5b366ca927bd · outbound

This paper cites The risk of racial bias in hate speech detection.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning The risk of racial bias in hate speech detection

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.957194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec286500-f1ec-47ee-9f54-82986ad66723 · outbound

This paper cites To explain or to predict? Stat.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning To explain or to predict? Stat

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.950016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0e434951-4d5f-4153-a3bd-9d4c1ffdb0a2 · outbound

This paper cites Meta- weight-net: Learning an explicit mapping for sample weighting.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Meta- weight-net: Learning an explicit mapping for sample weighting

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.943033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54977c40-56c1-418c-8dab-1fb72a3595ef · outbound

This paper cites The interpretation of interaction in contingency tables.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning The interpretation of interaction in contingency tables

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.935888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 600108d3-331f-402b-b746-7106ce27c3a3 · outbound

This paper cites Racial bias in pulse oximetry measurement.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Racial bias in pulse oximetry measurement

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.928716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e5d70a58-7417-4f40-8e82-5fe1f19f7359 · outbound

This paper cites Inferring 34 ground truth from subjective labelling of venus images.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Inferring 34 ground truth from subjective labelling of venus images

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.921407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa6b2376-0367-4d92-8dbd-83c5dfaeaa46 · outbound

This paper cites Cheap and fast–but is it good? evaluating non-expert annotations for natural language tasks.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Cheap and fast–but is it good? evaluating non-expert annotations for natural language tasks

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.912503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7750801-1557-4b73-bb67-66784ef11684 · outbound

This paper cites Riedl, and Matthew Lease.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Riedl, and Matthew Lease

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.905316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b0281730-200e-4670-a5c9-55203616c815 · outbound

This paper cites Training Convolutional Networks with Noisy Labels.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Training Convolutional Networks with Noisy Labels

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T18:50:59.676908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b39177e9-0fee-4a7e-92fd-5a60c7a9a528 · outbound

This paper cites A framework for understanding sources of harm throughout the machine learning life cycle.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning A framework for understanding sources of harm throughout the machine learning life cycle

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.898055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e47df17b-0567-4cf4-890c-11243afc8ee0 · outbound

This paper cites Improving medical machine learning models with generative balancing for equity and excellence.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Improving medical machine learning models with generative balancing for equity and excellence

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.890685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e476d03-f94e-40f6-85ee-64823176c342 · outbound

This paper cites A theory of the learnable.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning A theory of the learnable

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.882495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f229bff9-a626-41ef-991e-7819c93b8e7f · outbound

This paper cites Learning with symmetric label noise: The importance of being unhinged.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Learning with symmetric label noise: The importance of being unhinged

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T18:50:59.686066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acf6844d-513f-4977-bad0-f7c892cd03c8 · outbound

This paper cites Challenges and frontiers in abusive content detection.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Challenges and frontiers in abusive content detection

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.870662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7b63314-eb29-4e71-9a2c-56c7306c55df · outbound

This paper cites Anchoring data quality dimensions in ontological founda- tions.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Anchoring data quality dimensions in ontological founda- tions

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.863463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a69b2e6-c3aa-4910-bdae-c3bf25c8d2db · outbound

This paper cites Fair classification with group-dependent label noise.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Fair classification with group-dependent label noise

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.855553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c624c7d3-bead-41c0-a9de-9ad3e837942b · outbound

This paper cites The multidimensional wisdom of crowds.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning The multidimensional wisdom of crowds

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.847465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8ceda47-647c-41b1-8931-e71737cb030e · outbound

This paper cites Whose 35 vote should count more: Optimal integration of labels from labelers of unknown expertise.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Whose 35 vote should count more: Optimal integration of labels from labelers of unknown expertise

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.839982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1fa6a0b3-817b-4085-b42d-29dff54f3868 · outbound

This paper cites Modeling annotator expertise: Learning when everybody knows a bit of something.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Modeling annotator expertise: Learning when everybody knows a bit of something

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.832479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 89ca1d5b-46e2-4ced-a88b-74898da155da · outbound

This paper cites Unlearning bias in language models by partitioning gradients.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Unlearning bias in language models by partitioning gradients

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.824604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 73d3fd4f-7c75-423e-987b-5b2708c78145 · outbound

This paper cites Risk scores, label bias, and every- thing but the kitchen sink.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Risk scores, label bias, and every- thing but the kitchen sink

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.816144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6da64f1e-e0db-48a7-b6bc-7f1780f24ef4 · outbound

This paper cites Parametrised data sampling for fairness optimisation.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Parametrised data sampling for fairness optimisation

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.808154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4827549d-c1e3-47dc-a960-25fbc86ab74c · outbound

This paper cites Learning fair repre- sentations.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Learning fair repre- sentations

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.799874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc32d9a9-7823-4143-b28c-45db294fadf6 · outbound

This paper cites Learning from crowdsourced labeled data: a survey.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Learning from crowdsourced labeled data: a survey

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.791871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 65fb2936-1f49-448b-a18d-1236175bf7e3 · outbound

This paper cites Learning Gender-Neutral Word Embeddings.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Learning Gender-Neutral Word Embeddings

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T18:50:59.717921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec4d6ca-f0ce-4e2d-b1af-ac35cba8bb1b · outbound

This paper cites LB ∗ 𝑔𝑘 and UB∗ 𝑔𝑘 denote the value of LB𝑔𝑘 and UB𝑔𝑘 under condition 1.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning LB ∗ 𝑔𝑘 and UB∗ 𝑔𝑘 denote the value of LB𝑔𝑘 and UB𝑔𝑘 under condition 1

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:50:59.783603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers