Paper Citation Record · LEDGER

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.04269.

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

pith.paper-citation-record.v1
2507.04269 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:55:46.874134Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation b30922e6-e503-4768-864e-805140614eaf · outbound

This paper cites In: Pro- ceedings of the 26th Annual International Conference on Machine Learning, pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: Pro- ceedings of the 26th Annual International Conference on Machine Learning, pp

Reference 1

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Observation a3c96b34-1c88-4d5d-946d-66f2b749b694 · outbound

This paper cites Advances in neural information processing systems 33, 1877–1901 (2020).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Advances in neural information processing systems 33, 1877–1901 (2020)

Reference 2

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This paper cites Neural computation 15(6), 1373–1396 (2003).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Neural computation 15(6), 1373–1396 (2003)

Reference 3

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Observation e487916e-a256-4424-8775-b3c258d1f91a · outbound

This paper cites Journal of artificial intelligence research 4, 129–145 (1996).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Journal of artificial intelligence research 4, 129–145 (1996)

Reference 4

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Observation e593d3b2-3713-4d45-884c-135f9b73f08a · outbound

This paper cites Computer Networks and ISDN Systems 17(1), 1–14 (1989).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Computer Networks and ISDN Systems 17(1), 1–14 (1989)

Reference 5

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Observation bbf39ec6-680e-470b-b13c-121760721067 · outbound

This paper cites Journal of Machine Learning Research 19(27), 1–21 (2018).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Journal of Machine Learning Research 19(27), 1–21 (2018)

Reference 6

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Observation 455148bf-31d1-4183-a0d4-eaf99a12f647 · outbound

This paper cites Selection via Proxy: Efficient Data Selection for Deep Learning.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Selection via Proxy: Efficient Data Selection for Deep Learning

Reference 7

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This paper cites In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 8

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This paper cites Data curation via joint example selection further accelerates multimodal learning.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Data curation via joint example selection further accelerates multimodal learning

Reference 9

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Observation 87893962-51f6-4a23-b0c9-b0992918f145 · outbound

This paper cites MIT Press, Cambridge, MA, USA (2016).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need MIT Press, Cambridge, MA, USA (2016)

Reference 10

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Observation c95c343c-e6f0-4130-925e-bfa23bc14d14 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: International Conference on Machine Learning, pp

Reference 11

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This paper cites In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp

Reference 12

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This paper cites In: 17 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: 17 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 13

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This paper cites In: International Conference on Machine Learning, pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: International Conference on Machine Learning, pp

Reference 14

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Observation caf862b9-6f14-4b28-a0d2-178a2168fde5 · outbound

This paper cites Technical report, University of Toronto (2009).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Technical report, University of Toronto (2009)

Reference 15

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This paper cites Scaling Laws for Neural Language Models.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Scaling Laws for Neural Language Models

Reference 16

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Observation d70d6479-52d8-4275-ab8b-2342595acc90 · outbound

This paper cites nature 521(7553), 436–444 (2015).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need nature 521(7553), 436–444 (2015)

Reference 17

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This paper cites In: Aggarwal, C.C., Reddy, C.K.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: Aggarwal, C.C., Reddy, C.K

Reference 18

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This paper cites AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods

Reference 19

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Observation 52cb85c8-e99f-441e-960c-0ee4f23bdf1c · outbound

This paper cites A Highly Efficient Parallel Algorithm for Computing the Fiedler Vector.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need A Highly Efficient Parallel Algorithm for Computing the Fiedler Vector

Reference 20

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This paper cites In: Pro- ceedings of the 18th ACM International Conference on Multimedia, pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: Pro- ceedings of the 18th ACM International Conference on Multimedia, pp

Reference 21

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Observation aa9b93fc-230f-4557-93ff-8078e04fd2c1 · outbound

This paper cites In: Indian Conference on Computer Vision, Graphics and Image Processing (2008).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: Indian Conference on Computer Vision, Graphics and Image Processing (2008)

Reference 22

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Observation 8bda13cb-3b3b-44f4-8650-90a6b7739f69 · outbound

This paper cites In: Advances in Neural Information Processing Systems (2019).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: Advances in Neural Information Processing Systems (2019)

Reference 23

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This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition (2012).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: IEEE Conference on Computer Vision and Pattern Recognition (2012)

Reference 24

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This paper cites In: International Conference on Machine Learning, pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: International Conference on Machine Learning, pp

Reference 25

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This paper cites How to Train Data-Efficient LLMs.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need How to Train Data-Efficient LLMs

Reference 26

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Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Unresolved cited work

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This paper cites In: Proceedings of the 39th International Conference on Machine Learning (2022).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: Proceedings of the 39th International Conference on Machine Learning (2022)

Reference 28

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This paper cites International Journal of Computer Vision 130(6), 1526–1565 (2022).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need International Journal of Computer Vision 130(6), 1526–1565 (2022)

Reference 29

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Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Don't Decay the Learning Rate, Increase the Batch Size

Reference 30

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Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 31

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This paper cites SpectralNet: Spectral Clustering using Deep Neural Networks.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need SpectralNet: Spectral Clustering using Deep Neural Networks

Reference 32

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This paper cites In: Proceedings of the IEEE International Conference on Computer Vision, pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 33

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This paper cites IEEE transactions on pattern analysis and machine intelligence 44(9), 4555–4576 (2021).

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need IEEE transactions on pattern analysis and machine intelligence 44(9), 4555–4576 (2021)

Reference 34

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This paper cites In: Proceedings of the 24th International Conference on Machine Learning, pp.

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need In: Proceedings of the 24th International Conference on Machine Learning, pp

Reference 35

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Pith citing papers

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