Group-invariant Coresets for Data-efficient Active Learning | Paper Citation Record

Observation 3e3c9fc8-446e-4f3a-a888-a5c36b01228e · outbound

This paper cites Learning from multiple annotators for medical image segmentation,.

Group-invariant Coresets for Data-efficient Active Learning Learning from multiple annotators for medical image segmentation,

Reference 1

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This paper cites Label-efficient learning in agriculture: A comprehensive review,.

Group-invariant Coresets for Data-efficient Active Learning Label-efficient learning in agriculture: A comprehensive review,

Reference 2

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This paper cites A comprehensive review: Active learning for hyper- spectral image classifications,.

Group-invariant Coresets for Data-efficient Active Learning A comprehensive review: Active learning for hyper- spectral image classifications,

Reference 3

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This paper cites A survey on self-supervised learning: Algorithms, applications, and future trends,.

Group-invariant Coresets for Data-efficient Active Learning A survey on self-supervised learning: Algorithms, applications, and future trends,

Reference 4

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This paper cites Hslabeling: Towards efficient labeling for large-scale remote sensing image segmentation with hybrid sparse labeling,.

Group-invariant Coresets for Data-efficient Active Learning Hslabeling: Towards efficient labeling for large-scale remote sensing image segmentation with hybrid sparse labeling,

Reference 5

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This paper cites Active learning literature survey.

Group-invariant Coresets for Data-efficient Active Learning Active learning literature survey

Reference 6

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This paper cites A survey on deep active learning: Recent advances and new frontiers,.

Group-invariant Coresets for Data-efficient Active Learning A survey on deep active learning: Recent advances and new frontiers,

Reference 7

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Observation 610aca6e-b7c6-4323-b21c-c160e870be59 · outbound

This paper cites Geometric approxi- mation via coresets,.

Group-invariant Coresets for Data-efficient Active Learning Geometric approxi- mation via coresets,

Reference 8

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Observation 12bfa8b3-67b2-44ad-9996-3423c2acb3d4 · outbound

This paper cites Active learning for convolutional neural networks: A core-set approach,.

Group-invariant Coresets for Data-efficient Active Learning Active learning for convolutional neural networks: A core-set approach,

Reference 9

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Observation 26e96f75-87db-4428-a567-8b5dc3d8f6dd · outbound

This paper cites A coreset selection of coreset selection literature: Introduction and recent advances.

Group-invariant Coresets for Data-efficient Active Learning A coreset selection of coreset selection literature: Introduction and recent advances

Reference 10

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Observation 36985f5f-d19d-4df3-b7f0-e62a53ae2ea7 · outbound

This paper cites In defense of core-set: A density-aware core-set selec- tion for active learning,.

Group-invariant Coresets for Data-efficient Active Learning In defense of core-set: A density-aware core-set selec- tion for active learning,

Reference 11

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This paper cites Active learning through a covering lens,.

Group-invariant Coresets for Data-efficient Active Learning Active learning through a covering lens,

Reference 12

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This paper cites Generalized coverage for more robust low-budget active learning,.

Group-invariant Coresets for Data-efficient Active Learning Generalized coverage for more robust low-budget active learning,

Reference 13

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Observation 232db8ce-7f74-4681-b6ca-11dcc2a0f92f · outbound

This paper cites Fair Wasserstein Coresets.

Group-invariant Coresets for Data-efficient Active Learning Fair Wasserstein Coresets

Reference 14

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This paper cites Geometric Median Matching for Robust k-Subset Selection from Noisy Data.

Group-invariant Coresets for Data-efficient Active Learning Geometric Median Matching for Robust k-Subset Selection from Noisy Data

Reference 15

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Observation 09a2e5d2-10f3-4bdc-a167-747134e2e103 · outbound

This paper cites Small coresets via negative dependence: DPPs, linear statistics, and concentration.

Group-invariant Coresets for Data-efficient Active Learning Small coresets via negative dependence: DPPs, linear statistics, and concentration

Reference 16

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This paper cites Equivariant and coordinate independent convolutional networks: A gauge field theory of neural networks,.

Group-invariant Coresets for Data-efficient Active Learning Equivariant and coordinate independent convolutional networks: A gauge field theory of neural networks,

Reference 17

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Observation e8897799-5a08-4752-852e-3d1d8e2049ae · outbound

This paper cites Group equivariant convolutional networks,.

Group-invariant Coresets for Data-efficient Active Learning Group equivariant convolutional networks,

Reference 18

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This paper cites Har- monic networks: Deep translation and rotation equivariance,.

Group-invariant Coresets for Data-efficient Active Learning Har- monic networks: Deep translation and rotation equivariance,

Reference 19

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This paper cites Generalizing convolu- tional neural networks for equivariance to lie groups on arbitrary continuous data,.

Group-invariant Coresets for Data-efficient Active Learning Generalizing convolu- tional neural networks for equivariance to lie groups on arbitrary continuous data,

Reference 20

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This paper cites Deep sets,.

Group-invariant Coresets for Data-efficient Active Learning Deep sets,

Reference 21

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This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Group-invariant Coresets for Data-efficient Active Learning Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 22

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This paper cites A group-theoretic framework for data augmentation,.

Group-invariant Coresets for Data-efficient Active Learning A group-theoretic framework for data augmentation,

Reference 23

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This paper cites Group invariant machine learning by fundamental domain projections,.

Group-invariant Coresets for Data-efficient Active Learning Group invariant machine learning by fundamental domain projections,

Reference 24

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This paper cites Unsupervised representation learn- ing by predicting image rotations,.

Group-invariant Coresets for Data-efficient Active Learning Unsupervised representation learn- ing by predicting image rotations,

Reference 25

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This paper cites A simple framework for contrastive learning of visual representations,.

Group-invariant Coresets for Data-efficient Active Learning A simple framework for contrastive learning of visual representations,

Reference 26

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Observation 54809b87-7498-4261-8a0e-3e26ece72e33 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Group-invariant Coresets for Data-efficient Active Learning Emerging properties in self-supervised vision transformers,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.091370Z

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Observation bd40ca39-6ed0-4e22-9cda-d7e356b1f2f8 · outbound

This paper cites Learning invariances in neural networks from training data,.

Group-invariant Coresets for Data-efficient Active Learning Learning invariances in neural networks from training data,

Reference 28

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Observation 8a7a1aa7-16ad-48fe-a195-7a399d6a730f · outbound

This paper cites Reducing label effort: Self-supervised meets active learning,.

Group-invariant Coresets for Data-efficient Active Learning Reducing label effort: Self-supervised meets active learning,

Reference 29

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This paper cites Bridging diver- sity and uncertainty in active learning with self-supervised pre-training,.

Group-invariant Coresets for Data-efficient Active Learning Bridging diver- sity and uncertainty in active learning with self-supervised pre-training,

Reference 30

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This paper cites Integrating deep metric learning with coreset for active learning in 3d segmentation,.

Group-invariant Coresets for Data-efficient Active Learning Integrating deep metric learning with coreset for active learning in 3d segmentation,

Reference 31

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This paper cites Empowering active learning for 3d molecular graphs with geometric graph isomorphism,.

Group-invariant Coresets for Data-efficient Active Learning Empowering active learning for 3d molecular graphs with geometric graph isomorphism,

Reference 32

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This paper cites an unresolved cited work.

Group-invariant Coresets for Data-efficient Active Learning Unresolved cited work

Reference 33

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This paper cites Learning symmetrization for equivariance with orbit distance minimization,.

Group-invariant Coresets for Data-efficient Active Learning Learning symmetrization for equivariance with orbit distance minimization,

Reference 34

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This paper cites Low-dimensional invariant embeddings for uni- versal geometric learning,.

Group-invariant Coresets for Data-efficient Active Learning Low-dimensional invariant embeddings for uni- versal geometric learning,

Reference 35

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Observation 08129aa7-eb9b-456e-894f-359bff19ba65 · outbound

This paper cites Autonomous driving system: A comprehensive survey,.

Group-invariant Coresets for Data-efficient Active Learning Autonomous driving system: A comprehensive survey,

Reference 36

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Observation db1feb8d-9868-4e0e-9f4a-e677b2ad5d86 · outbound

This paper cites Improving generalization with active learning,.

Group-invariant Coresets for Data-efficient Active Learning Improving generalization with active learning,

Reference 37

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This paper cites A survey on active learning strategy,.

Group-invariant Coresets for Data-efficient Active Learning A survey on active learning strategy,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.062295Z

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Observation c25da8f2-820e-42a9-a6e0-7453d9d3b7b4 · outbound

This paper cites A survey of deep active learning.

Group-invariant Coresets for Data-efficient Active Learning A survey of deep active learning

Reference 39

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This paper cites Active learning query strategies for classification, regression, and clustering: A survey,.

Group-invariant Coresets for Data-efficient Active Learning Active learning query strategies for classification, regression, and clustering: A survey,

Reference 40

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This paper cites A survey on active learning: State-of-the-art, practical challenges and research directions,.

Group-invariant Coresets for Data-efficient Active Learning A survey on active learning: State-of-the-art, practical challenges and research directions,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.060574Z

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Observation fa2ff263-f18c-4fee-a490-b662d93ee1a0 · outbound

This paper cites Core-sets: Updated survey,.

Group-invariant Coresets for Data-efficient Active Learning Core-sets: Updated survey,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.076074Z

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Observation fc94041e-2dd4-4482-8bbd-ed1be9742acd · outbound

This paper cites Clustering to minimize the maximum intercluster distance,.

Group-invariant Coresets for Data-efficient Active Learning Clustering to minimize the maximum intercluster distance,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.083730Z

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Observation 83f67ad5-a5e0-4c61-86d5-946bfeb70409 · outbound

This paper cites Probabilistic symmetries and invariant neural networks,.

Group-invariant Coresets for Data-efficient Active Learning Probabilistic symmetries and invariant neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.045678Z

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This paper cites A survey on image data augmentation for deep learning,.

Group-invariant Coresets for Data-efficient Active Learning A survey on image data augmentation for deep learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.047514Z

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Observation 13f98daa-9928-4008-94b1-cd061fe742b2 · outbound

This paper cites Equivariant repre- sentation learning via class-pose decomposition,.

Group-invariant Coresets for Data-efficient Active Learning Equivariant repre- sentation learning via class-pose decomposition,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.041518Z

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Observation cf58e3f5-7af8-4295-9714-a0ded3b9bc96 · outbound

This paper cites Symmetry- adapted representation learning,.

Group-invariant Coresets for Data-efficient Active Learning Symmetry- adapted representation learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.039332Z

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Observation cbff586a-d6cb-4938-8cf7-25d1ebeb6e65 · outbound

This paper cites Structuring represen- tations using group invariants,.

Group-invariant Coresets for Data-efficient Active Learning Structuring represen- tations using group invariants,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.043747Z

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Observation 5eb0cf45-b6e7-4fd5-a14b-7f8c62603fc5 · outbound

This paper cites Estimation under group actions: recovering orbits from invariants,.

Group-invariant Coresets for Data-efficient Active Learning Estimation under group actions: recovering orbits from invariants,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.049161Z

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Observation 2a28966c-308b-427a-9bf8-cb07ade1bd8b · outbound

This paper cites Diffusion Maps for Group-Invariant Manifolds.

Group-invariant Coresets for Data-efficient Active Learning Diffusion Maps for Group-Invariant Manifolds

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:06:34.565425Z

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Observation a85da81b-81d5-4549-ab1e-a66208115c64 · outbound

This paper cites Burago, Y.

Group-invariant Coresets for Data-efficient Active Learning Burago, Y

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.050942Z

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Observation ddc18c77-e6aa-4522-ac82-b7e00054aa72 · outbound

This paper cites Unsupervised learning of group invariant and equivariant representations,.

Group-invariant Coresets for Data-efficient Active Learning Unsupervised learning of group invariant and equivariant representations,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.037408Z

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Observation 4ee8c6e3-4075-412e-bf7d-92734e31a30b · outbound

This paper cites Learning (approxi- mately) equivariant networks via constrained optimization,.

Group-invariant Coresets for Data-efficient Active Learning Learning (approxi- mately) equivariant networks via constrained optimization,

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:06:34.557561Z

Source-reported events for the cited work

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Observation 0a9dfe07-f7d4-4864-9805-aae585f52272 · outbound

This paper cites A Bernstein-type inequality for functions of bounded interaction.

Group-invariant Coresets for Data-efficient Active Learning A Bernstein-type inequality for functions of bounded interaction

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-07-02T04:06:34.570498Z

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 dd190f3f-a736-4e4b-86be-0b220c178f94 · outbound

This paper cites A gentle introduction to concentration inequalities,.

Group-invariant Coresets for Data-efficient Active Learning A gentle introduction to concentration inequalities,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.052862Z

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 1dd3714d-42b3-441b-8bb6-3be4e7bf4a4e · outbound

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

Group-invariant Coresets for Data-efficient Active Learning Learning multiple layers of features from tiny images

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.054840Z

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 d35b8425-bbb9-4962-a6d4-d151a2b93770 · outbound

This paper cites An analysis of single-layer networks in unsu- pervised feature learning,.

Group-invariant Coresets for Data-efficient Active Learning An analysis of single-layer networks in unsu- pervised feature learning,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.035453Z

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 bee9ad75-e974-4676-b4ed-d3e9c651ef7f · outbound

This paper cites Gradient-based learning applied to document recognition,.

Group-invariant Coresets for Data-efficient Active Learning Gradient-based learning applied to document recognition,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.031466Z

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 8afd7c69-d27c-4617-b2f6-e633fbfd0df5 · outbound

This paper cites Deep batch active learning by diverse, uncertain gradient lower bounds,.

Group-invariant Coresets for Data-efficient Active Learning Deep batch active learning by diverse, uncertain gradient lower bounds,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:22:12.029700Z

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.

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