Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T22:48:00.058391Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2605.25499.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T22:48:00.058391Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
52 of 52 outbound references displayed
External citation measurements
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Observation c121f8cf-ee29-4682-ae06-cb0ef307d133 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Quionero-Candela, M
Reference 1
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Observation 2bc97599-120a-4a00-af2b-90b8842e2d52 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators A survey on transfer learning,
Reference 2
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Observation 554ef6ef-d4f9-46f6-a307-46f4615eeba9 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Improving predictive inference under covariate shift by weighting the log-likelihood function,
Reference 3
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Observation 9083d577-0530-4f10-a5a2-be021c61c699 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Covariate shift adaptation by importance weighted cross valida- tion,
Reference 4
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Observation b0e40973-c855-4050-9415-55cc65993f9c · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators What is the effect of impor- tance weighting in deep learning?
Reference 5
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Observation 2a115c9a-8150-4f42-9466-454bdca959b7 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Rethinking importance weighting for deep learning under distribu- tion shift,
Reference 6
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Observation 65ff5f3e-31b7-4757-973e-2990d21ec005 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Correcting sample selection bias by unla- beled data,
Reference 7
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Observation 5b99452f-3f14-4568-bc2a-6d1260a45742 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators GPU acceler- ation of ADMM for large-scale quadratic programming,
Reference 8
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Observation 32ab55ce-bff4-4432-881c-e38b6febb756 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Direct importance estimation with model selection and its application to covariate shift adaptation,
Reference 9
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Observation fd793a13-7e71-460c-9d97-1bade4053adc · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators A least-squares approach to direct importance estimation,
Reference 10
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Observation fca9b3db-0159-465b-850f-4b318b3c3d20 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Density- ratio matching under the Bregman divergence: a unified framework of density-ratio estimation,
Reference 11
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Observation 05884f3c-a136-4ef0-8871-fe1c19e57c8c · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming,
Reference 12
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Observation 33f2a151-6f88-41bb-b75b-47934bd1a6e7 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Im- portance weighting for aligning language models under deployment distribution shift,
Reference 13
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Observation ee32f00e-16bc-4db2-baae-d168507f3dac · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Importance-weighted positive-unlabeled learning for distribution shift adaptation,
Reference 14
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Observation 550abb03-cae5-4565-8585-660cc4b1586b · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Constrained minimiza- tion methods,
Reference 15
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Observation 94f768af-5330-41ff-9dae-ebe37e85605b · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Integral probability metrics and their gener- ating classes of functions,
Reference 16
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Observation 3deee532-1ec9-4783-8130-741c0ccec4ed · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators A general class of coefficients of divergence of one distribution from another,
Reference 17
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Observation b4628b30-f37f-43b8-b61d-0bb57f56bec8 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Markov processes over denumerable products of spaces describing large system of automata,
Reference 18
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Observation fc3d2cd2-a148-4f05-a019-2ac4c21f0a27 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators On choosing and bound- ing probability metrics,
Reference 19
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Observation 07ab435c-5d21-4165-bdf3-7e4123edf1da · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Integrating structured biological data by kernel maximum mean discrepancy,
Reference 20
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Observation be7e8652-1138-4119-ab7e-4623ed81efbe · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators A kernel two-sample test,
Reference 21
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Observation c5d53d51-80d6-44d5-acea-8cd94a23a6ba · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Hilbert space em- beddings and metrics on probability measures,
Reference 22
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Observation 494863d9-3f2a-4670-8cc4-7bebf13b067a · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Kernel measures of conditional dependence,
Reference 23
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Observation c7c9333a-284f-498d-87d9-2d5bf7430007 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators On information and suf- ficiency,
Reference 24
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Observation 13e87e6d-d65b-4853-b6fb-237e4c8a6c4d · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Neue begr¨ undung der theorie quadratischer formen von unendlichvielen ver¨anderlichen
Reference 25
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Observation 12a9de9b-3c98-4a22-9ca5-dfab7dd5bcd2 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Confliction of the convexity and metric properties in f-divergences,
Reference 26
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Observation 2cf686af-ff14-46fd-a8ec-cd140851d1a3 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators The earth mover’s distance as a metric for image retrieval,
Reference 27
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Observation 5ae33a08-aa33-437c-9b73-85a763d7a3df · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Villani,Topics in optimal transportation, ser
Reference 28
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Observation 218cda18-87fc-486a-878f-cca0dbb261f5 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Wasserstein generative adversarial networks,
Reference 29
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Observation 6ce02d16-9422-4dd7-9fab-598c9cce5a22 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Improved training of Wasserstein GANs,
Reference 30
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Observation 59f0c661-22fc-4b4d-be9e-a5ab4e6ffc91 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 31
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 35363031-bc4d-42ca-9879-aa87900148e9 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Learning multiple layers of features from tiny images,
Reference 32
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Observation 37206991-438d-4d49-b420-ffdd36c1258b · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators ImageNet Large Scale Visual Recognition Challenge,
Reference 33
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Observation aecf0e69-a7b6-40f6-a36f-077e02391f86 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Gradient-based learning applied to document recogni- tion,
Reference 34
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Observation 85ea95c7-de72-4f4e-bafc-fe5eea12746c · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators A stochastic approximation method,
Reference 35
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Observation 31ef2d25-9bba-4244-806f-88d3b1f31ac2 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Deep residual learning for image recognition,
Reference 36
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Observation c733fb40-d136-496e-93c8-de0b42b48ce1 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Adam: A method for stochas- tic optimization,
Reference 37
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Observation 10e8d7e9-5cdf-4841-99da-9b218a452ae8 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Learn- ing to reweight examples for robust deep learning,
Reference 38
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Observation 6cce8ef8-1722-44fc-bece-c61cf0bddf0f · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Meta-weight-net: Learning an explicit mapping for sample weighting,
Reference 39
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Observation 22658f4b-8d7c-4ece-8978-8250edc3754e · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators A systematic study of the class imbalance problem in convolutional neural networks,
Reference 40
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Observation c642a414-87f4-445a-ae71-0daf01832332 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Co-teaching: Robust training of deep neural networks with extremely noisy labels,
Reference 41
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Observation 8d119926-eaf4-4f2f-acdc-648f227dbfe7 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Learning with symmetric label noise: The importance of being unhinged,
Reference 42
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Observation 34ce986f-ead1-4b05-9861-5ca61210812b · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Learning under concept drift: A review,
Reference 43
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Observation 9b8747e6-9bf9-47d1-9bea-2bedc774adfb · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Unresolved cited work
Reference 44
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Observation 0e1eeb4f-1cdd-4066-91d0-1713de31d356 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Deep visual domain adaptation: A survey,
Reference 45
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Observation 2cbc1c02-f770-4e8a-b157-a206499951b7 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Learning transferable features with deep adaptation networks,
Reference 46
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Observation 362683b3-ccd0-4d0c-9caf-ca5090367e81 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Domain-adversarial training of neural networks,
Reference 47
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Observation ac2af9ae-e356-4c73-8404-8267fc4222f9 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Adver- sarial discriminative domain adaptation,
Reference 48
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Observation 9f9304c0-dbc7-4e84-8f44-8f00bcab1ea9 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Pseudo-label: The simple and efficient semi-supervised learning method for deep neural net- works,
Reference 49
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Observation f33af81c-03d1-4cc3-8d3b-6b2e93798ed0 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Asymmetric tri- training for unsupervised domain adaptation,
Reference 50
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Observation 5ebbc3da-f848-4fbc-82e7-bd02640d30d3 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Stochastic first-and zeroth-order methods for nonconvex stochastic programming,
Reference 51
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Observation 1b0e3681-920a-4b03-9701-11d6239cee02 · outbound
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Handbook of Convergence Theorems for (Stochastic) Gradient Methods
Reference 52
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
No inbound Pith citation observations are available.