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Paper Citation Record · LEDGER

Online Variance Reduction for Domain Adaptation on Streaming Data

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.20374.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.20374 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:04:13.755127Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation ad1b0756-48a2-4e88-b696-cd4536366c55 · outbound

This paper cites doi: 10.1109/CVPR46437.2021.01411.

Online Variance Reduction for Domain Adaptation on Streaming Data doi: 10.1109/CVPR46437.2021.01411

Reference 6

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Observation d33e6c59-4828-445d-82f1-0c5323d9a611 · outbound

This paper cites Deep Residual Learning for Image Recognition.Pro- ceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016-December: 770–778, 12.

Online Variance Reduction for Domain Adaptation on Streaming Data Deep Residual Learning for Image Recognition.Pro- ceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016-December: 770–778, 12

Reference 7

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Observation fc885fde-1edf-49f9-b190-76a4433b600a · outbound

This paper cites URLhttps://link.springer.com/article/10.1007/s10994-009-5152-4.

Online Variance Reduction for Domain Adaptation on Streaming Data URLhttps://link.springer.com/article/10.1007/s10994-009-5152-4

Reference 10

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Observation 7ced8356-4623-4554-8cdd-8a0ef7c59364 · outbound

This paper cites Accelerating Stochastic Gradient Descent Using Antithetic Sampling.

Online Variance Reduction for Domain Adaptation on Streaming Data Accelerating Stochastic Gradient Descent Using Antithetic Sampling

Reference 12

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Observation 1e5d41f0-887d-4943-aa86-b6e79b057fe7 · outbound

This paper cites URL https://proceedings.mlr.press/v37/long15.html.

Online Variance Reduction for Domain Adaptation on Streaming Data URL https://proceedings.mlr.press/v37/long15.html

Reference 13

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Observation f23815a1-5825-46d6-bada-85628afa18ef · outbound

This paper cites Variance Reduced Training with Stratified Sampling for Forecasting Models.

Online Variance Reduction for Domain Adaptation on Streaming Data Variance Reduced Training with Stratified Sampling for Forecasting Models

Reference 15

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Observation 4fe6bbbe-8578-4ea5-8e8f-e3582c49ba0b · outbound

This paper cites Improving Distribution Alignment with Diversity-based Sampling.

Online Variance Reduction for Domain Adaptation on Streaming Data Improving Distribution Alignment with Diversity-based Sampling

Reference 17

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Observation 961d47ee-bf79-4bfb-96e2-875f195e2809 · outbound

This paper cites doi: 10.1037/met0000301.

Online Variance Reduction for Domain Adaptation on Streaming Data doi: 10.1037/met0000301

Reference 18

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Observation 29b82cb4-b8ee-4161-a438-7cbf35c2f33c · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Online Variance Reduction for Domain Adaptation on Streaming Data Deep Domain Confusion: Maximizing for Domain Invariance

Reference 20

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Observation d77ccfad-7b11-48ce-87c2-1f3068a9c59b · outbound

This paper cites Deep Hashing Network for Unsupervised Domain Adaptation.

Online Variance Reduction for Domain Adaptation on Streaming Data Deep Hashing Network for Unsupervised Domain Adaptation

Reference 22

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Observation 3ae436bb-1390-45a6-95e1-91152208f35e · outbound

This paper cites doi: 10.1609/AAAI.V33I01.33015741.

Online Variance Reduction for Domain Adaptation on Streaming Data doi: 10.1609/AAAI.V33I01.33015741

Reference 24

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Observation 0ce035f8-9add-4660-8e60-ce215b34fb6a · outbound

This paper cites Adaptive Risk Minimization: Learning to Adapt to Domain Shift.

Online Variance Reduction for Domain Adaptation on Streaming Data Adaptive Risk Minimization: Learning to Adapt to Domain Shift

Reference 25

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Observation 1b881766-b239-4b9e-a5bc-4f71061e88f5 · outbound

This paper cites Free Lunch for Domain Adversarial Training: Environment Label Smoothing.

Online Variance Reduction for Domain Adaptation on Streaming Data Free Lunch for Domain Adversarial Training: Environment Label Smoothing

Reference 26

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Observation 6598d5f7-1747-4f27-848f-1c8451bb9a13 · outbound

This paper cites Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling.

Online Variance Reduction for Domain Adaptation on Streaming Data Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling

Reference 27

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Observation 32657a54-a810-473d-9f8c-03dfda6de21f · outbound

This paper cites Deep Hashing Network for Unsupervised Domain Adaptation.CVPR 2017,.

Online Variance Reduction for Domain Adaptation on Streaming Data Deep Hashing Network for Unsupervised Domain Adaptation.CVPR 2017,

Reference 1998

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Observation 13c0ad39-346d-4fb2-9b91-85b671e07571 · outbound

This paper cites an unresolved cited work.

Online Variance Reduction for Domain Adaptation on Streaming Data Unresolved cited work

Reference 2007

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Observation 9fd97d84-610d-4209-ab81-49810a0763dd · outbound

This paper cites URLhttps://dl.acm.org/doi/10.1145/1553374.1553380.

Online Variance Reduction for Domain Adaptation on Streaming Data URLhttps://dl.acm.org/doi/10.1145/1553374.1553380

Reference 2009

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Observation 52b25595-1329-4784-b050-4b5d52d98b2b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Online Variance Reduction for Domain Adaptation on Streaming Data Adam: A Method for Stochastic Optimization

Reference 2014

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Observation 878386f4-9629-4373-8b2e-fbadb4f0cd2c · outbound

This paper cites Deep Residual Learning for Image Recognition.

Online Variance Reduction for Domain Adaptation on Streaming Data Deep Residual Learning for Image Recognition

Reference 2015

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Observation 44fc4d1d-1cf5-4fca-876d-be955b513019 · outbound

This paper cites Deep CORAL: Correlation Alignment for Deep Domain Adaptation.

Online Variance Reduction for Domain Adaptation on Streaming Data Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Reference 2016

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Observation 0860b9aa-902e-4f91-a434-415a87b26b37 · outbound

This paper cites Conditional Adversarial Domain Adaptation.

Online Variance Reduction for Domain Adaptation on Streaming Data Conditional Adversarial Domain Adaptation

Reference 2017

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Observation ee81ee8c-2ece-4007-8cec-763bd964b4f1 · outbound

This paper cites doi: 10.1109/CVPR.2018.00566.

Online Variance Reduction for Domain Adaptation on Streaming Data doi: 10.1109/CVPR.2018.00566

Reference 2018

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Observation a5f0d5ed-b1e9-44eb-8f07-23686c8353fd · outbound

This paper cites doi: 10.1109/CVPR.2019.01155.

Online Variance Reduction for Domain Adaptation on Streaming Data doi: 10.1109/CVPR.2019.01155

Reference 2019

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Observation 8b5feb72-5051-4224-8836-3dfa6bb249e0 · outbound

This paper cites Minimum Class Confusion for Versatile Domain Adaptation.

Online Variance Reduction for Domain Adaptation on Streaming Data Minimum Class Confusion for Versatile Domain Adaptation

Reference 2020

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Observation bfea6e99-8b0d-46e5-8d0a-0c17b829fb36 · outbound

This paper cites Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD.

Online Variance Reduction for Domain Adaptation on Streaming Data Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD

Reference 2021

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Observation fe40e6a6-51e2-43dd-93f2-847f9c93190f · outbound

This paper cites Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases.

Online Variance Reduction for Domain Adaptation on Streaming Data Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases

Reference 2023

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Observation 01abbe62-103a-4b3c-8240-28815010949c · outbound

This paper cites A Fast and Effective Method for Euclidean Anticlustering: The Assignment-Based-Anticlustering Algorithm.

Online Variance Reduction for Domain Adaptation on Streaming Data A Fast and Effective Method for Euclidean Anticlustering: The Assignment-Based-Anticlustering Algorithm

Reference 2026

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Pith citing papers

No inbound Pith citation observations are available.