Coverage-Constrained Human-AI Cooperation with Multiple Experts | Paper Citation Record

Observation 67b315d8-40d8-47d5-9a9a-152a2331e76d · outbound

This paper cites Cost-sensitive learning to defer to multiple experts with workload constraints.Transactions on Machine Learning Research, 2024.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Cost-sensitive learning to defer to multiple experts with workload constraints.Transactions on Machine Learning Research, 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.666826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ddc1c8c-6d96-4917-b5c0-578ee12e7608 · outbound

This paper cites Unsupervised label noise modeling and loss correction.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Unsupervised label noise modeling and loss correction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.671480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2620455-39b9-44b7-95e7-8747936326d2 · outbound

This paper cites On the utility of prediction sets in human-AI teams.

Coverage-Constrained Human-AI Cooperation with Multiple Experts On the utility of prediction sets in human-AI teams

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.675990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aff046a-11c8-44e9-bd78-d2df7be9763f · outbound

This paper cites Edmondson, Christopher J.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Edmondson, Christopher J

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.680428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7084a592-9c7d-4af9-bc62-28581a5144d8 · outbound

This paper cites Is the most accurate AI the best teammate? Optimizing AI for teamwork.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Is the most accurate AI the best teammate? Optimizing AI for teamwork

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.686047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1732318-5de7-436c-a355-1afe9b7b8e78 · outbound

This paper cites Do we train on test data? Purging CIFAR of near-duplicates.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Do we train on test data? Purging CIFAR of near-duplicates

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.691268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fde6ff19-6461-49fe-afdb-7f492e0cf6fd · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.695660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7cf010-0460-4e97-8e10-91c7d7aae983 · outbound

This paper cites In defense of softmax parametrization for calibrated and consistent learning to defer.

Coverage-Constrained Human-AI Cooperation with Multiple Experts In defense of softmax parametrization for calibrated and consistent learning to defer

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.701139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2287b07-389e-46a8-a6fa-577ef2e8fcb1 · outbound

This paper cites Learning from crowds with annotation reliability.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning from crowds with annotation reliability

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.706398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008b9c00-a6d5-448a-9a63-5589fe2c244f · outbound

This paper cites Carneiro.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Carneiro

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.710883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a414e2ce-3d43-49fa-94c7-d886cb735d0d · outbound

This paper cites Classifi- cation with rejection based on cost-sensitive classification.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Classifi- cation with rejection based on cost-sensitive classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.715205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01aba6d2-cf94-4acc-9bad-ec840e265291 · outbound

This paper cites A unifying post-processing framework for multi-objective learn-to-defer problems.Advances in Neural Information Processing Systems,.

Coverage-Constrained Human-AI Cooperation with Multiple Experts A unifying post-processing framework for multi-objective learn-to-defer problems.Advances in Neural Information Processing Systems,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.719976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e12ed29a-f9a8-4d10-ace3-3be1095028ad · outbound

This paper cites Sample efficient learning of predictors that complement humans.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Sample efficient learning of predictors that complement humans

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.724495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9554e17f-c9a8-47e9-9721-da3539c2e166 · outbound

This paper cites Defer-and- fusion: Optimal predictors that incorporate human decisions.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Defer-and- fusion: Optimal predictors that incorporate human decisions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.728956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e96e30c-7c35-4712-99e9-c48ae2cd0e51 · outbound

This paper cites Label-retrieval-augmenteddiffusionmodelsforlearningfromnoisylabels.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Label-retrieval-augmenteddiffusionmodelsforlearningfromnoisylabels

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.733518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aace8097-0847-4ff0-8960-1646d20be882 · outbound

This paper cites Beyond class-conditional assumption: A primary attempt to combat instance-dependent label noise.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Beyond class-conditional assumption: A primary attempt to combat instance-dependent label noise

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.737904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adbdb7f6-38ad-4224-847d-6f9dbe95f360 · outbound

This paper cites Learning with rejection.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning with rejection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.742014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3e70f1-1215-435d-a624-7f5ea0e5840f · outbound

This paper cites Cooperative AI: Machines must learn to find common ground.Nature, 593(7857):33–36,.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Cooperative AI: Machines must learn to find common ground.Nature, 593(7857):33–36,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.258681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 887abd43-40e2-4a5f-8f28-ab34430a0533 · outbound

This paper cites Hate speech dataset from a white supremacy forum.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Hate speech dataset from a white supremacy forum

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.241025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 159635a5-510d-4812-b006-7044ebc747a5 · outbound

This paper cites Hybrid llm: Cost-efficient and quality-aware query routing.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Hybrid llm: Cost-efficient and quality-aware query routing

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.755000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 138059d1-01af-4178-b7d1-0658ea526809 · outbound

This paper cites Instance- dependent noisy label learning via graphical modelling.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Instance- dependent noisy label learning via graphical modelling

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.219451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6312636-8763-4600-95b9-ff52cbccfae3 · outbound

This paper cites Robust loss functions under label noise for deep neural networks.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Robust loss functions under label noise for deep neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.206684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3de7a04d-89fa-42d2-9e3d-2639bbf0993e · outbound

This paper cites CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators.

Coverage-Constrained Human-AI Cooperation with Multiple Experts CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.194395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 091c1317-5a56-459b-821e-3bcf95f66909 · outbound

This paper cites Disparate interactions: An algorithm-in-the-loop analysis of fairness in risk assessments.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Disparate interactions: An algorithm-in-the-loop analysis of fairness in risk assessments

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.772632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ed48726-09af-47b4-bfdc-9994b128b210 · outbound

This paper cites Who said what: Modeling individual labelers improves classification.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Who said what: Modeling individual labelers improves classification

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.173078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c2e0bfd6-85f9-486e-ad84-a0947dc467ea · outbound

This paper cites OPTIMAM mammography image database: a large-scale resource of mammography images and clinical data.Radiology: Artificial Intelligence, 3(1):e200103,.

Coverage-Constrained Human-AI Cooperation with Multiple Experts OPTIMAM mammography image database: a large-scale resource of mammography images and clinical data.Radiology: Artificial Intelligence, 3(1):e200103,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.159936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c268f35f-a65c-42b0-b18b-610ea343ea23 · outbound

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

Coverage-Constrained Human-AI Cooperation with Multiple Experts Co-teaching: Robust training of deep neural networks with extremely noisy labels

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.146552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8fb8402a-f5b2-49df-b955-7520967f5240 · outbound

This paper cites Forming effective human-AI teams: Building machine learning models that com- plement the capabilities of multiple experts.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Forming effective human-AI teams: Building machine learning models that com- plement the capabilities of multiple experts

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.134774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f3d84f5-3824-4202-a513-7299be1c525b · outbound

This paper cites Learn- ing to defer with limited expert predictions.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learn- ing to defer with limited expert predictions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.122432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28385dc2-e804-424f-bd66-d84bd677b597 · outbound

This paper cites Annot-Mix: Learning with noisy class labels from multiple annotators via a mixup extension.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Annot-Mix: Learning with noisy class labels from multiple annotators via a mixup extension

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.109037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation df1a077d-e427-4a22-b2dd-ec0a091a9a52 · outbound

This paper cites Photometric transformer networks and label adjustment for breast density prediction.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Photometric transformer networks and label adjustment for breast density prediction

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.096116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cff3588b-4faf-4f29-a914-5c1e76fb329a · outbound

This paper cites Learning calibrated medical image segmentation via multi-rater agreement modeling.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning calibrated medical image segmentation via multi-rater agreement modeling

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.082945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 136565cd-9c7f-48cf-9ab1-3bf0b614ee45 · outbound

This paper cites Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.068805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 536c5242-c9cb-4ca7-9c91-317031c2292b · outbound

This paper cites Combining human predictions with model probabilities via confusion matrices and calibration.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Combining human predictions with model probabilities via confusion matrices and calibration

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.051668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f2a0127-d5a0-43e3-a02b-292ef236580f · outbound

This paper cites Towards unbiased and accurate deferral to multiple experts.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Towards unbiased and accurate deferral to multiple experts

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.036405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28d08d28-8564-4967-b459-20c7f380db01 · outbound

This paper cites Learning from noisy singly- labeled data.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning from noisy singly- labeled data

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.020964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7fc9e483-3e28-4d7e-b77f-e76c9ffb44ed · outbound

This paper cites Learning multiple layers of features from tiny images.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning multiple layers of features from tiny images

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:15.008071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 809eae56-f1ed-4673-ac45-218535da547e · outbound

This paper cites Human-AI collabora- tion in decision-making: Beyond learning to defer.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Human-AI collabora- tion in decision-making: Beyond learning to defer

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.994205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d76eb1c-a2d4-4939-9a96-56e4889d2ebf · outbound

This paper cites DivideMix: Learning with noisy labels as semi-supervised learning.

Coverage-Constrained Human-AI Cooperation with Multiple Experts DivideMix: Learning with noisy labels as semi-supervised learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.980888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d7491337-a3b8-418c-8ca6-c7400a90fd98 · outbound

This paper cites Human and AI Perceptual Differences in Image Classification Errors.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Human and AI Perceptual Differences in Image Classification Errors

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.843333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 365eff3c-abf3-4b11-b857-921a9ecde137 · outbound

This paper cites Mitigating underfitting in learning to defer with consistent losses.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Mitigating underfitting in learning to defer with consistent losses

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.968666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eee4ff93-1a3a-45ea-9bd2-ed9efe991603 · outbound

This paper cites Identifiability of label noise transition matrix.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Identifiability of label noise transition matrix

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.954806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6fd2e501-0e45-47ff-8d2b-77ab3c2d2e62 · outbound

This paper cites Learning to Defer in Congested Systems: The AI-Human Interplay.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning to Defer in Congested Systems: The AI-Human Interplay

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.856117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed7d9f8-7738-4dd1-bd54-5f6f561c0838 · outbound

This paper cites Predict responsibly: improving fairness and accuracy by learning to defer.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Predict responsibly: improving fairness and accuracy by learning to defer

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.939690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 541c085c-af72-4270-aacc-e1eca6ab4167 · outbound

This paper cites Corrado, Daniel Tse, and Shravya Shetty.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Corrado, Daniel Tse, and Shravya Shetty

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.925707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 446cd271-f50a-4e9b-899a-88109e78301f · outbound

This paper cites Two-stage learning to defer with multiple experts.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Two-stage learning to defer with multiple experts

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.907322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25269f4d-16b1-41c7-b897-33c8dff11520 · outbound

This paper cites Two-stage learning to defer with multiple experts.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Two-stage learning to defer with multiple experts

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.893014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 17c5c541-37e9-46a1-9833-8988fd301533 · outbound

This paper cites Principled approaches for learning to defer with multiple experts.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Principled approaches for learning to defer with multiple experts

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.878383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 971bf08f-57a2-4bc5-ba16-69b49cbc79a9 · outbound

This paper cites Realizableh-consistent and Bayes-consistent loss functions for learning to defer.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Realizableh-consistent and Bayes-consistent loss functions for learning to defer

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.864701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fc0e7e0d-e96c-48e7-beda-45b08b3de71c · outbound

This paper cites Regression with multi-expert deferral.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Regression with multi-expert deferral

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.851964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a51fa56-8d54-4542-9f04-ffacd7b22266 · outbound

This paper cites D-LEMA: Deep learning ensembles from multiple annotations-application to skin lesion segmentation.

Coverage-Constrained Human-AI Cooperation with Multiple Experts D-LEMA: Deep learning ensembles from multiple annotations-application to skin lesion segmentation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.837955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 353cb173-2539-48ac-82f5-53af224123e7 · outbound

This paper cites Consistent estimators for learning to defer to an expert.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Consistent estimators for learning to defer to an expert

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.821877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0db394fc-1eca-4a90-828f-ba09b4872fdf · outbound

This paper cites Teaching humans when to defer to a classifier via exemplars.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Teaching humans when to defer to a classifier via exemplars

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.808140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92b844e9-64ba-4320-9b45-be9d01c07e9b · outbound

This paper cites Who should predict? Exact algorithms for learning to defer to humans.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Who should predict? Exact algorithms for learning to defer to humans

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.794359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3018dd6a-7350-4c60-9705-2ce761c62a07 · outbound

This paper cites Effective human-ai teams via learned natural language rules and onboarding.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Effective human-ai teams via learned natural language rules and onboarding

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.782171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59127515-a622-411e-9885-514abaea74f8 · outbound

This paper cites Accuracy-rejection curves (arcs) for comparing classification methods with a reject option.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Accuracy-rejection curves (arcs) for comparing classification methods with a reject option

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.769178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83999c0f-97de-4ad4-b496-1579b52f4e1a · outbound

This paper cites Post-hoc estimators for learning to defer to an expert.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Post-hoc estimators for learning to defer to an expert

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.755941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b2ccd17a-ace6-47fe-8acf-c41b44e2b8a2 · outbound

This paper cites Springer, 1999.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Springer, 1999

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.738641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f0c7f94a-f5fb-435e-9e06-f3a11829f3b4 · outbound

This paper cites Differentiable learning under triage.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Differentiable learning under triage

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.725730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5009e935-792f-429c-8fe6-e8db100e8656 · outbound

This paper cites Multi- objective interpolation training for robustness to label noise.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Multi- objective interpolation training for robustness to label noise

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.712192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 80956568-660b-489a-9f77-423168f6febb · outbound

This paper cites PyTorch: An imperative style, high-performancedeeplearninglibrary.

Coverage-Constrained Human-AI Cooperation with Multiple Experts PyTorch: An imperative style, high-performancedeeplearninglibrary

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.697815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ec67fab4-37a8-4d4a-ae20-8109b4f32456 · outbound

This paper cites AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems.

Coverage-Constrained Human-AI Cooperation with Multiple Experts AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.944654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc89e13-0e63-41b0-a91f-69b7bbefd69e · outbound

This paper cites The algorithmic automation problem: Prediction, triage, and human effort.

Coverage-Constrained Human-AI Cooperation with Multiple Experts The algorithmic automation problem: Prediction, triage, and human effort

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.680277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83e4f898-337f-4127-9dac-b11fb2dcf2fc · outbound

This paper cites Supervised learning from multiple experts: whom to trust when everyone lies a bit.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Supervised learning from multiple experts: whom to trust when everyone lies a bit

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.663136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation abea1916-e845-48a0-a76c-bf7e05fd2f19 · outbound

This paper cites an unresolved cited work.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:10:14.646267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8ac04a31-c4fb-4f2b-a08d-b4f28af2153c · outbound

This paper cites 2D and 3D segmentation of uncertain local collagen fiber orientations in shg microscopy.

Coverage-Constrained Human-AI Cooperation with Multiple Experts 2D and 3D segmentation of uncertain local collagen fiber orientations in shg microscopy

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.628588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d25a200c-2247-4269-8b07-56f2c3b25ce0 · outbound

This paper cites Isone annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Isone annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.614106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 465e9db9-b148-4160-82a8-03511a9daa5f · outbound

This paper cites A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering.

Coverage-Constrained Human-AI Cooperation with Multiple Experts A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.598429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 45899434-244c-4abf-b592-ce3e45d9cad7 · outbound

This paper cites Learning from noisy labels with deep neural networks: A survey.IEEE Transactions on Neural Networks and Learning Systems, 2022.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning from noisy labels with deep neural networks: A survey.IEEE Transactions on Neural Networks and Learning Systems, 2022

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.584258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41e73442-eb9c-4fe6-a4ca-17c7e7c84181 · outbound

This paper cites Bayesian modeling of human–AI complementarity.National Academy of Sciences, 119(11):e2111547119, 2022.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Bayesian modeling of human–AI complementarity.National Academy of Sciences, 119(11):e2111547119, 2022

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.569661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce87af20-b683-4ae0-9ce5-59db8604dbb3 · outbound

This paper cites Improving expert predictions with conformal prediction.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Improving expert predictions with conformal prediction

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.556350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0754606f-bbfa-458d-a24d-c00422672f2f · outbound

This paper cites Learning to defer to a population: A meta-learning approach.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning to defer to a population: A meta-learning approach

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.543301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d01ca15-42be-4fa2-aa5d-7063117466ea · outbound

This paper cites Learning from noisy labels by regularized estimation of annotator confusion.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning from noisy labels by regularized estimation of annotator confusion

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.530961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95395da7-4e3d-44e0-858e-467dcdd23d3f · outbound

This paper cites A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams.

Coverage-Constrained Human-AI Cooperation with Multiple Experts A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:13.998117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0b4c56-61d0-43b3-96d7-9d79bd62d508 · outbound

This paper cites The HAM10000 dataset, a large collectionofmulti-sourcedermatoscopicimagesofcommonpigmentedskinlesions.

Coverage-Constrained Human-AI Cooperation with Multiple Experts The HAM10000 dataset, a large collectionofmulti-sourcedermatoscopicimagesofcommonpigmentedskinlesions

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.511835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 366ec495-4ce4-4c67-957c-edc318312a0a · outbound

This paper cites Calibrated learning to defer with one-vs-all classifiers.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Calibrated learning to defer with one-vs-all classifiers

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.498924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79fca6f1-57ed-40c2-be96-0a6fdbf45c82 · outbound

This paper cites On the calibration of learning to defer to multiple experts.

Coverage-Constrained Human-AI Cooperation with Multiple Experts On the calibration of learning to defer to multiple experts

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.483916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6bb12333-9947-441e-8095-2de7018c94de · outbound

This paper cites Learning to defer to multiple experts: Consistent surrogate losses, confidence calibration, and conformal ensembles.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning to defer to multiple experts: Consistent surrogate losses, confidence calibration, and conformal ensembles

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.470629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 42efd672-5af1-4216-a668-346460841253 · outbound

This paper cites ProMix: combating label noise via maximizing clean sample utility.

Coverage-Constrained Human-AI Cooperation with Multiple Experts ProMix: combating label noise via maximizing clean sample utility

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.457578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 80c3bbda-2de9-4464-8531-bee9a6465bb4 · outbound

This paper cites ChestX-ray8: Hospital-scale chestX-ray database and benchmarks on weakly- supervised classification and localization of common thorax diseases.

Coverage-Constrained Human-AI Cooperation with Multiple Experts ChestX-ray8: Hospital-scale chestX-ray database and benchmarks on weakly- supervised classification and localization of common thorax diseases

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.440436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 708c6411-cb9b-4398-8e0e-34c11e666ada · outbound

This paper cites Deep learning from multiple noisy annotators as a union.IEEE Transactions on Neural Networks and Learning Systems,.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Deep learning from multiple noisy annotators as a union.IEEE Transactions on Neural Networks and Learning Systems,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.426596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e9f101bd-ea04-4778-bbbc-c21f9ef328f0 · outbound

This paper cites Learning with noisy labels revisited: A study using real-world human annotations.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning with noisy labels revisited: A study using real-world human annotations

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.411196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 684acca9-891c-4f92-91f5-7cbc74b8253d · outbound

This paper cites Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.397286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ae4f0556-5f19-40ab-a941-a700c745b01a · outbound

This paper cites Vision-language models are strong noisy label detectors.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Vision-language models are strong noisy label detectors

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.382197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1ef8d933-27e3-4ba0-9700-b30b66969d99 · outbound

This paper cites Exploiting human-AI dependence for learning to defer.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Exploiting human-AI dependence for learning to defer

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.366234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 107183a6-cb74-4398-b2db-dbee1c5cb354 · outbound

This paper cites Learningtocomplementhumans.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learningtocomplementhumans

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.351636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 54fa3fef-39bb-4996-a976-85b18997ed6e · outbound

This paper cites Learning self-calibrated optic disc and cup segmentation from multi-rater annotations.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.335627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7cf73af9-c8ee-49e8-b6d6-f973ca444751 · outbound

This paper cites Sample selection with uncertainty of losses for learning with noisy labels.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Sample selection with uncertainty of losses for learning with noisy labels

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.321495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 54c4178e-2830-4e5f-9aa1-8b2332f9c2dc · outbound

This paper cites Faster meta update strategy for noise- robust deep learning.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Faster meta update strategy for noise- robust deep learning

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.304622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8572c062-91ad-49e2-91d9-8a334a248211 · outbound

This paper cites Iterative cross learning on noisy labels.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Iterative cross learning on noisy labels

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.290359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ed39481-8e0a-47b0-bf4a-fbf5ab2507c6 · outbound

This paper cites Learning fast sample re-weighting without reward data.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning fast sample re-weighting without reward data

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.276280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 34fc8802-9bcb-40c1-ac24-a18c5e885f01 · outbound

This paper cites Generalized cross entropy loss for training deep neural networks with noisy labels.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Generalized cross entropy loss for training deep neural networks with noisy labels

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.263306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6e5ff96d-f463-4f06-aeb8-dcc64c3e251d · outbound

This paper cites Arik, Honglak Lee, and Tomas Pfister.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Arik, Honglak Lee, and Tomas Pfister

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.248510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b63c14c6-fd9c-4e63-b7b6-7cbfe09ab30f · outbound

This paper cites Learning to Complement with Multiple Humans.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning to Complement with Multiple Humans

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T18:10:14.088267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4f9107-beb8-443f-afe5-2d5353bfab8a · outbound

This paper cites Learning to complement and to defer to multiple users.

Coverage-Constrained Human-AI Cooperation with Multiple Experts Learning to complement and to defer to multiple users

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.233261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation df628fe5-7470-4310-812b-e408ef380f5e · outbound

This paper cites coverage.

Coverage-Constrained Human-AI Cooperation with Multiple Experts coverage

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:10:14.216472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers