Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T19:42:54.438936Z
Paper Citation Record · LEDGER
Improving realistic semi-supervised learning with doubly robust estimation
As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.00279.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
56 of 56 outbound references displayed
- verified exact4
- verified fuzzy22
- unresolved28
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 54acb57c-11cb-428d-adf2-af2fba758996 · outbound
This paper cites write newline.
Improving realistic semi-supervised learning with doubly robust estimation write newline
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bddfbc3e-c9ee-40a5-971e-625543d8548b · outbound
This paper cites Maximum likelihood with bias-corrected calibration is hard-to-beat at label shift adaptation.
Improving realistic semi-supervised learning with doubly robust estimation Maximum likelihood with bias-corrected calibration is hard-to-beat at label shift adaptation
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 19ae7986-c167-474b-a5f8-4b89bf721652 · outbound
This paper cites E., and McGuinness, K.
Improving realistic semi-supervised learning with doubly robust estimation E., and McGuinness, K
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6165cc4e-dcf4-480b-9454-b7f09c9c054b · outbound
This paper cites Regularized Learning for Domain Adaptation under Label Shifts.
Improving realistic semi-supervised learning with doubly robust estimation Regularized Learning for Domain Adaptation under Label Shifts
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4f662c4-f335-4fd6-aee4-65f8d4890af8 · outbound
This paper cites ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring.
Improving realistic semi-supervised learning with doubly robust estimation ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0acfb2d6-336d-4476-9403-e57a8aeeeefe · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 16aa7b26-3bc4-429b-88d3-af288128f8f5 · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b54ac618-8fe7-494b-8503-2f4f8f2f9352 · outbound
This paper cites Semi-supervised learning (chapelle, o.
Improving realistic semi-supervised learning with doubly robust estimation Semi-supervised learning (chapelle, o
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5180073c-e989-493b-8207-52873e62ff4f · outbound
This paper cites Double/debiased machine learning for treatment and structural parameters, 2018.
Improving realistic semi-supervised learning with doubly robust estimation Double/debiased machine learning for treatment and structural parameters, 2018
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d40dff4-4b93-4d95-ac7e-ed230f91555f · outbound
This paper cites M., and Syrgkanis, V.
Improving realistic semi-supervised learning with doubly robust estimation M., and Syrgkanis, V
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 63907c7e-3772-4c2c-8633-2c8bde04058d · outbound
This paper cites An analysis of single-layer networks in unsupervised feature learning.
Improving realistic semi-supervised learning with doubly robust estimation An analysis of single-layer networks in unsupervised feature learning
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0a294753-78a0-4cce-9e39-a6ae8f7490d4 · outbound
This paper cites Class-balanced loss based on effective number of samples.
Improving realistic semi-supervised learning with doubly robust estimation Class-balanced loss based on effective number of samples
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4559739-6730-41e8-a787-bf5de79a6753 · outbound
This paper cites SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning.
Improving realistic semi-supervised learning with doubly robust estimation SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32013ef8-d86f-4c37-80e7-d7dc31c0ef78 · outbound
This paper cites Rda: Reciprocal distribution alignment for robust semi-supervised learning.
Improving realistic semi-supervised learning with doubly robust estimation Rda: Reciprocal distribution alignment for robust semi-supervised learning
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b70d35fb-979c-4e21-a7fa-440fe581fc91 · outbound
This paper cites Towards semi-supervised learning with non-random missing labels.
Improving realistic semi-supervised learning with doubly robust estimation Towards semi-supervised learning with non-random missing labels
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d8a09d87-f01b-4925-9893-26c505130fa1 · outbound
This paper cites Cossl: Co-learning of representation and classifier for imbalanced semi-supervised learning.
Improving realistic semi-supervised learning with doubly robust estimation Cossl: Co-learning of representation and classifier for imbalanced semi-supervised learning
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 52b9a243-1cf8-4085-b36a-135a9bc0147c · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2810125-941b-4ebc-914b-90918bbec0ff · outbound
This paper cites Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning.
Improving realistic semi-supervised learning with doubly robust estimation Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning
Reference 18
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 21001d9e-034d-4173-ad74-82d428b887f9 · outbound
This paper cites A unified view of label shift estimation.
Improving realistic semi-supervised learning with doubly robust estimation A unified view of label shift estimation
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e836971-aec7-4f61-b5ec-f4903fb38c1d · outbound
This paper cites and Bengio, Y.
Improving realistic semi-supervised learning with doubly robust estimation and Bengio, Y
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc9ae131-7a9e-41d5-a92d-a28b5eb574d6 · outbound
This paper cites On Non-Random Missing Labels in Semi-Supervised Learning.
Improving realistic semi-supervised learning with doubly robust estimation On Non-Random Missing Labels in Semi-Supervised Learning
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f53c712b-9669-4847-8abf-b22d9e3e5c89 · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3b9c65b6-440e-4029-9c11-ac524317da82 · outbound
This paper cites Deepmatch: Balancing deep covariate representations for causal inference using adversarial training.
Improving realistic semi-supervised learning with doubly robust estimation Deepmatch: Balancing deep covariate representations for causal inference using adversarial training
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0bfd2d47-2ece-4259-b226-8247a24bd5ab · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fea6c41b-6f24-4b78-b1bf-37be73df8a04 · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c14d6034-dd4b-4773-8d72-74d10a3b870c · outbound
This paper cites J., and Shin, J.
Improving realistic semi-supervised learning with doubly robust estimation J., and Shin, J
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0381e75f-5b5e-46cb-8ecf-0a46becf20e1 · outbound
This paper cites and Hinton, G.
Improving realistic semi-supervised learning with doubly robust estimation and Hinton, G
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 06ede96c-ebb5-4775-80bc-a0fcae2e66fc · outbound
This paper cites Temporal Ensembling for Semi-Supervised Learning.
Improving realistic semi-supervised learning with doubly robust estimation Temporal Ensembling for Semi-Supervised Learning
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5eb47a9-ed37-40c9-b4c6-c8ab48c586fa · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b2cf12c-9124-4e72-9654-cd2c7e992a9b · outbound
This paper cites Abc: Auxiliary balanced classifier for class-imbalanced semi-supervised learning.
Improving realistic semi-supervised learning with doubly robust estimation Abc: Auxiliary balanced classifier for class-imbalanced semi-supervised learning
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9345e5bc-001a-44fc-8c63-4266d04bf88e · outbound
This paper cites Detecting and correcting for label shift with black box predictors.
Improving realistic semi-supervised learning with doubly robust estimation Detecting and correcting for label shift with black box predictors
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e328fd9-80fd-4859-8db3-749ff638f232 · outbound
This paper cites Three heads are better than one: Complementary experts for long-tailed semi-supervised learning.
Improving realistic semi-supervised learning with doubly robust estimation Three heads are better than one: Complementary experts for long-tailed semi-supervised learning
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 99139c97-745a-45f9-9d2d-8c93faaa5cea · outbound
This paper cites Long-tail learning via logit adjustment.
Improving realistic semi-supervised learning with doubly robust estimation Long-tail learning via logit adjustment
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ac82d5f-b108-45f7-b23a-5fcda73e5163 · outbound
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Improving realistic semi-supervised learning with doubly robust estimation Label Shift Estimators for Non-Ignorable Missing Data
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1f8e5c37-1b06-418c-afaa-719971b88808 · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d85523d7-5588-43ba-a1a3-cdc9d2e269ad · outbound
This paper cites Adapting to Shifting Correlations with Unlabeled Data Calibration.
Improving realistic semi-supervised learning with doubly robust estimation Adapting to Shifting Correlations with Unlabeled Data Calibration
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 88710594-0827-4c7f-a2b5-a23ec27390df · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e4830ca8-bc26-48a0-80e0-3f5128530af5 · outbound
This paper cites A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects.
Improving realistic semi-supervised learning with doubly robust estimation A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bb7b143f-c995-4c00-b1d2-8bebeb77ed08 · outbound
This paper cites Balanced meta-softmax for long-tailed visual recognition.
Improving realistic semi-supervised learning with doubly robust estimation Balanced meta-softmax for long-tailed visual recognition
Reference 39
- Resolution
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- raw_fallback, observed 2026-08-09T19:42:54.979332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a53a7e41-68a1-4d0e-a664-c7c20a0e892e · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9ad0db48-e83c-47d1-9cc0-c7b6c09b5303 · outbound
This paper cites Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure.
Improving realistic semi-supervised learning with doubly robust estimation Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 35c796dc-610f-417c-a8c8-8fa9125d6391 · outbound
This paper cites Don't fear the unlabelled: safe semi-supervised learning via simple debiasing.
Improving realistic semi-supervised learning with doubly robust estimation Don't fear the unlabelled: safe semi-supervised learning via simple debiasing
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5311894b-8aa3-4122-900d-998e48e9f190 · outbound
This paper cites Adapting neural networks for the estimation of treatment effects.
Improving realistic semi-supervised learning with doubly robust estimation Adapting neural networks for the estimation of treatment effects
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e8f1ad8-1cc9-462c-83db-28b1aed00bf6 · outbound
This paper cites A., Cubuk, E.
Improving realistic semi-supervised learning with doubly robust estimation A., Cubuk, E
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1649f588-439d-4cff-a376-3cfc78acfe4f · outbound
This paper cites Are labels informative in semi-supervised learning? estimating and leveraging the missing-data mechanism.
Improving realistic semi-supervised learning with doubly robust estimation Are labels informative in semi-supervised learning? estimating and leveraging the missing-data mechanism
Reference 45
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 20c10bda-5d9f-4c1e-952e-19477d6ea1e9 · outbound
This paper cites P., Ebrahimi, S., and D'Amour, A.
Improving realistic semi-supervised learning with doubly robust estimation P., Ebrahimi, S., and D'Amour, A
Reference 46
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a7041392-8a8a-47ce-bcd3-c62e8bcd63d2 · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 47
- Resolution
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- raw_fallback, observed 2026-08-09T19:42:54.870422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5fd279f5-87c1-4d82-931c-e6a0996e6f96 · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 48
- Resolution
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- raw_fallback, observed 2026-08-09T19:42:54.853788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 18c07d6f-6fa0-4a2b-8d39-d7e923d9974d · outbound
This paper cites and Athey, S.
Improving realistic semi-supervised learning with doubly robust estimation and Athey, S
Reference 49
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fb03c13-a5c1-4f44-ba05-6049aeb088f4 · outbound
This paper cites Crest: A class-rebalancing self-training framework for imbalanced semi-supervised learning.
Improving realistic semi-supervised learning with doubly robust estimation Crest: A class-rebalancing self-training framework for imbalanced semi-supervised learning
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T19:42:54.823929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation df923fd2-71e0-4994-abef-8f82ec1664e6 · outbound
This paper cites and Gan, K.
Improving realistic semi-supervised learning with doubly robust estimation and Gan, K
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T19:42:54.805150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 74817487-c1ca-4b59-b2a9-9525ebe3167d · outbound
This paper cites Learning label shift correction for test-agnostic long-tailed recognition.
Improving realistic semi-supervised learning with doubly robust estimation Learning label shift correction for test-agnostic long-tailed recognition
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T19:42:54.787440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 536ed74d-4a7a-432a-bf56-b8781b875bea · outbound
This paper cites an unresolved cited work.
Improving realistic semi-supervised learning with doubly robust estimation Unresolved cited work
Reference 53
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e97ec8d-0aba-4751-a7ec-51bae2496a4a · outbound
This paper cites Towards Causal Foundation Model: on Duality between Causal Inference and Attention.
Improving realistic semi-supervised learning with doubly robust estimation Towards Causal Foundation Model: on Duality between Causal Inference and Attention
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:42:54.428521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dfff1e6-2c79-4032-920c-bb1562e51e0c · outbound
This paper cites Dc-ssl: Addressing mismatched class distribution in semi-supervised learning.
Improving realistic semi-supervised learning with doubly robust estimation Dc-ssl: Addressing mismatched class distribution in semi-supervised learning
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T19:42:54.759527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 864e832c-308f-4e07-a4f9-dc04473b58d8 · outbound
This paper cites Doubly-robust self-training.
Improving realistic semi-supervised learning with doubly robust estimation Doubly-robust self-training
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T19:42:54.737944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.