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Paper Citation Record · LEDGER

Data-to-Model Distillation: Data-Efficient Learning Framework

As of 14 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 0 inbound Pith citation observations for arXiv:2411.12841.

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

pith.paper-citation-record.v1
2411.12841 v1

Coverage vector

measured 98 of 98 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:14:28.395308Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

98 of 98 outbound references displayed

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  • verified fuzzy35
  • unresolved60
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f6d6402-5f4b-409d-a4e0-10bf89f3482b · outbound

This paper cites High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks.

Data-to-Model Distillation: Data-Efficient Learning Framework High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks

Reference 1

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Observation 1e26f2e0-602c-4788-9cef-9fc3d1b5363a · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 2

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Observation cb62e18b-c0ed-4b8a-ba2e-19d77955657c · outbound

This paper cites In: International Conference on Learning Representations (2018).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2018)

Reference 3

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Observation 0a2264d4-829b-4fbf-a95e-93f165e12dd2 · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems33, 1877–1901 (2020)

Reference 4

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Observation 45edd88a-e747-4608-9446-c44abe5f2840 · outbound

This paper cites In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition

Reference 5

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Observation ec8928fb-ebeb-4eab-a11c-5194b436572e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 6

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Observation d6b3d010-0e17-4313-917b-d2bbb21da744 · outbound

This paper cites Advances in Neural Information Processing Systems35, 14678–14690 (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems35, 14678–14690 (2022)

Reference 7

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Observation 7f1d9450-26b6-4ea3-9f05-4953c8c9e7d2 · outbound

This paper cites In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition

Reference 8

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Observation a69bcd0f-09b9-4408-9ac3-eabdec005dd1 · outbound

This paper cites Advances in neural information processing systems29 (2016).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems29 (2016)

Reference 9

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Observation 5c8afe6c-2d4e-4367-8778-491f3d53c20a · outbound

This paper cites Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality.

Data-to-Model Distillation: Data-Efficient Learning Framework Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality

Reference 10

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Observation 43275a3f-5cb2-49af-a898-e201bac6bedd · outbound

This paper cites In: International Conference on Learning Representations (2021).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2021)

Reference 11

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Observation 59610e3b-897c-4467-b0d3-5f82ba4ceab0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 12

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Observation 2d3478c8-dfc0-4aca-9617-ee537b12313d · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 13

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Observation 7c6e4a3c-12fe-481c-9ef3-46375fde68c3 · outbound

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Data-to-Model Distillation: Data-Efficient Learning Framework In: 2009 IEEE conference on computer vision and pattern recognition

Reference 14

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Observation 987b500d-40a1-47f7-aa4c-32c044975f61 · outbound

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Data-to-Model Distillation: Data-Efficient Learning Framework Unresolved cited work

Reference 15

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Observation d6f16dba-ad85-480e-ba1d-b0897ebf027d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Data-to-Model Distillation: Data-Efficient Learning Framework An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

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Observation 4a949900-5019-4429-92ba-6549b5866fb4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 17

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Observation 2b46ff68-1a19-4521-a9c7-0d24b92896aa · outbound

This paper cites Advances in Neural Information Processing Systems36 (2024).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems36 (2024)

Reference 18

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Observation ee861768-53f9-4059-b9b4-05c0011a6fd7 · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 19

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Observation 09fcaad3-9c18-47f6-985f-b836ed4b6b24 · outbound

This paper cites In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In:ProceedingsoftheIEEEconferenceoncomputervisionandpatternrecognition

Reference 20

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Observation 3663bdc3-b4f4-4c08-bf9e-1caa2e005444 · outbound

This paper cites Advances in neural infor- mation processing systems27 (2014).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural infor- mation processing systems27 (2014)

Reference 21

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This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) (2024).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) (2024)

Reference 22

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Observation 4824154d-d578-4d13-a926-75f6e72a7a3a · outbound

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Data-to-Model Distillation: Data-Efficient Learning Framework In: The Twelfth In- ternational Conference on Learning Representations (2024),https://openreview

Reference 23

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Observation 0ec549d6-9b29-4b9b-b159-a346d45fda76 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 24

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Observation c48139c2-3c25-46ec-9dca-6afff7de4942 · outbound

This paper cites In: Proceedings of the IEEE interna- tional conference on computer vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE interna- tional conference on computer vision

Reference 25

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Data-to-Model Distillation: Data-Efficient Learning Framework Unresolved cited work

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Observation 2381814d-4721-4463-9813-ca21ca68eebc · outbound

This paper cites In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023)

Reference 27

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Observation a5a2675a-793f-4eb0-b863-ada19bbc6aa9 · outbound

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Data-to-Model Distillation: Data-Efficient Learning Framework Distilling the Knowledge in a Neural Network

Reference 28

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Observation 40c1de7a-44b6-4fef-8194-288398067b62 · outbound

This paper cites Advances in neural information processing systems29 (2016).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems29 (2016)

Reference 29

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Reference 30

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 31

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 32

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Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of NAACL-HLT

Reference 33

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Observation fcd7e6d5-79f1-4cad-9360-3da45ad303cd · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 34

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Observation 8a0d1080-e788-4336-9d90-5980b92afdc1 · outbound

This paper cites The Need for Speed: Pruning Transformers with One Recipe.

Data-to-Model Distillation: Data-Efficient Learning Framework The Need for Speed: Pruning Transformers with One Recipe

Reference 35

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Observation 5f378e95-6249-47f9-b42d-7a0774435f63 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 36

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Observation abf0b4e6-b099-4e57-90cd-7c3db36528ad · outbound

This paper cites In: Interna- tional Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Interna- tional Conference on Machine Learning

Reference 37

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This paper cites an unresolved cited work.

Data-to-Model Distillation: Data-Efficient Learning Framework Unresolved cited work

Reference 38

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Observation e44c6991-44fe-4277-a687-76f8291ff5f2 · outbound

This paper cites Communications of the ACM60(6), 84–90 (2017).

Data-to-Model Distillation: Data-Efficient Learning Framework Communications of the ACM60(6), 84–90 (2017)

Reference 39

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Observation 0c123125-dc73-47de-ad4f-bbe47d2c1a60 · outbound

This paper cites CS 231N7(7), 3 (2015).

Data-to-Model Distillation: Data-Efficient Learning Framework CS 231N7(7), 3 (2015)

Reference 40

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Observation 1557cf16-aadc-4d4e-9558-93b0b33c228b · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 41

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Observation da8686de-b72f-4c39-b7cd-49514622af2d · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 42

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Observation cfd182ef-dab6-4855-8984-0af448c71835 · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 43

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Observation ef7cefcb-22fb-4611-9cc4-2b473cc6b6fe · outbound

This paper cites In: European Conference on Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: European Conference on Computer Vision

Reference 44

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Observation af4a4f7d-ea57-4e42-a22f-d4a4588ea6fc · outbound

This paper cites In: International Conference on Learning Representations (2017).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2017)

Reference 45

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Observation fb56ad21-5c83-459b-b19b-a54bdbf65185 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 46

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raw_fallback, observed 2026-08-12T17:14:28.836807Z

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source=pdf_text observed=2026-08-12T17:14:28.267226Z digest=sha256:6892e43c085720c3a2e6c3d79eef363a8804b10e0f1354f6cc94afc9423b9041

Observation 582afcb3-4dd9-45ea-a90d-1b7c38c7b0ac · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 47

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raw_fallback, observed 2026-08-12T17:14:28.830061Z

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source=pdf_text observed=2026-08-12T17:14:28.269130Z digest=sha256:1f37dc3fa1c312dddd85bcec6d4143e194106a3a990374f7c95cec9f11566410

Observation 8dbfb5cf-c9a9-4e4f-a0f4-cf542086323e · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework In: The Eleventh International Conference on Learning Representations (2022)

Reference 48

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raw_fallback, observed 2026-08-12T17:14:28.823216Z

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source=pdf_text observed=2026-08-12T17:14:28.271749Z digest=sha256:213b3eefad37d638cb1a212115b97643bd097552e4a53a82a82ad6d25e1ef2d0

Observation 7f57c581-aac0-439d-9bde-2b321589c89f · outbound

This paper cites Advances in Neural Information Processing Systems35, 1100–1113 (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems35, 1100–1113 (2022)

Reference 49

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raw_fallback, observed 2026-08-12T17:14:28.815325Z

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source=pdf_text observed=2026-08-12T17:14:28.274112Z digest=sha256:1a5961600ef83124c649d375c1973d853e121ea03a2717990b84a279ca9b00d3

Observation c837e02f-c3ed-4494-87ad-6e36331cfd10 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 50

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raw_fallback, observed 2026-08-12T17:14:28.807343Z

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source=pdf_text observed=2026-08-12T17:14:28.277528Z digest=sha256:f52f84787d3654f1d807a4ce18b44464874d164025ad4ec48b43bbbc330a4ae6

Observation c4ca14ce-ce22-40e4-ac29-b155c095b331 · outbound

This paper cites DREAM: Efficient Dataset Distillation by Representative Matching.

Data-to-Model Distillation: Data-Efficient Learning Framework DREAM: Efficient Dataset Distillation by Representative Matching

Reference 51

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Observation 0a5b1ba0-d95c-4cf5-b1d0-0fa860f02c13 · outbound

This paper cites Advances in Neural Information Processing Systems35, 13877–13891 (2022) 18 Ahmad Sajedi *, Samir Khaki* et al.

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems35, 13877–13891 (2022) 18 Ahmad Sajedi *, Samir Khaki* et al

Reference 52

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source=pdf_text observed=2026-08-12T17:14:28.283616Z digest=sha256:1fd1df46018d76c4fe1ae06a2a13fdbbd19fa7d230a2973e064afe0d0b016a30

Observation f881e7ab-fdad-4fc6-8e3e-a352ff6a3044 · outbound

This paper cites an unresolved cited work.

Data-to-Model Distillation: Data-Efficient Learning Framework Unresolved cited work

Reference 53

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Observation d0bc4803-d076-4b13-b3ad-8274259630b8 · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE international conference on computer vision

Reference 54

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Observation 93aa0b8c-3819-4513-aa5b-7f250d622351 · outbound

This paper cites Journal of machine learning research 9(11) (2008).

Data-to-Model Distillation: Data-Efficient Learning Framework Journal of machine learning research 9(11) (2008)

Reference 55

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Observation fe57a3af-de6d-4fde-8444-6a4f5f91bf22 · outbound

This paper cites Conditional Generative Adversarial Nets.

Data-to-Model Distillation: Data-Efficient Learning Framework Conditional Generative Adversarial Nets

Reference 56

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Observation b09e3c76-9dff-4464-a609-39700b8998f6 · outbound

This paper cites In: International Conference on Learning Representations (2019).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2019)

Reference 57

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 00a49f81-a609-4eda-a63b-fe871102d1b8 · outbound

This paper cites In: International Conference on Learning Representations (2021), https: //openreview.net/forum?id=l-PrrQrK0QR.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2021), https: //openreview.net/forum?id=l-PrrQrK0QR

Reference 58

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7116e126-e9d6-493b-87b7-a52ee655bc0d · outbound

This paper cites Advances in Neural Information Processing Systems34, 5186–5198 (2021).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems34, 5186–5198 (2021)

Reference 59

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raw_fallback, observed 2026-08-12T17:14:28.760489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1eb08c29-5a9e-4fa3-afb8-8201d7173350 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 60

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Observation e06d750c-9f27-47ee-8bc9-42dbe07f0bce · outbound

This paper cites In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition

Reference 61

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Observation abb0fbb8-8cc2-4fdb-8c74-eb5b0e5c2cbf · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Data-to-Model Distillation: Data-Efficient Learning Framework FitNets: Hints for Thin Deep Nets

Reference 62

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source=pdf_text observed=2026-08-12T17:14:28.306605Z digest=sha256:6243c9551d727681970dda3185fa4cbc00824f9db98ebd616d388496ed5fc082

Observation 049b66b3-0ee9-4feb-8129-4b2858347c20 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 63

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raw_fallback, observed 2026-08-12T17:14:28.746167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b8e2ab5c-229d-497e-adb2-8a515a899f5f · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 64

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Observation 217f1780-19e4-4629-bf3b-5e2f3eb94ca0 · outbound

This paper cites In: ICASSP 2024- 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data-to-Model Distillation: Data-Efficient Learning Framework In: ICASSP 2024- 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 65

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raw_fallback, observed 2026-08-12T17:14:28.735334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bd14a549-3d40-4b41-8fb9-83cfcb600132 · outbound

This paper cites End-to-End Supervised Multilabel Contrastive Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework End-to-End Supervised Multilabel Contrastive Learning

Reference 66

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Observation 237a52d1-8e0a-402f-a983-bc069a6d107d · outbound

This paper cites In: 2022 IEEE 14th Image, Video, and Multidimen- sional Signal Processing Workshop (IVMSP).

Data-to-Model Distillation: Data-Efficient Learning Framework In: 2022 IEEE 14th Image, Video, and Multidimen- sional Signal Processing Workshop (IVMSP)

Reference 67

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raw_fallback, observed 2026-08-12T17:14:28.728212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.320440Z digest=sha256:f0e03e94d33a24ae365bf0c03cd819d08c45bf0397a914b21d7367081050649e

Observation a8503859-bcfa-491e-b300-8077d5ce9d80 · outbound

This paper cites On the Efficiency of Subclass Knowledge Distillation in Classification Tasks.

Data-to-Model Distillation: Data-Efficient Learning Framework On the Efficiency of Subclass Knowledge Distillation in Classification Tasks

Reference 68

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local_arxiv, observed 2026-08-12T17:14:28.498550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d09e0a1f-07da-4bc6-89c4-b7ca354f5816 · outbound

This paper cites In: ACM SIGGRAPH 2022 conference proceedings.

Data-to-Model Distillation: Data-Efficient Learning Framework In: ACM SIGGRAPH 2022 conference proceedings

Reference 69

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Unavailable: canonical work link unavailable.

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Observation ff11bca8-ea19-426c-b20a-1d04893a654d · outbound

This paper cites In: International Conference on Learning Representations (2018).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2018)

Reference 70

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Observation d023d6dd-5f7a-4348-a590-8f8cb6229873 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 71

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Observation 6b2b2fd4-81f3-4d2d-bd5c-dbd52a0abfb5 · outbound

This paper cites Advances in neural information processing systems 28 (2015).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in neural information processing systems 28 (2015)

Reference 72

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Observation 1b4f5174-2d78-4637-8647-6d065ed861c3 · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 73

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raw_fallback, observed 2026-08-12T17:14:28.711136Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ca9f7634-d7da-4813-bb83-20fd45b4806e · outbound

This paper cites In: International conference on machine learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International conference on machine learning

Reference 74

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.336635Z digest=sha256:92e349fa2279d2f31b218be128e7455bfeb87c7df5bec803b541d52c7a7de178

Observation 7942dc7b-2026-4da4-a0c0-0dd933d2252b · outbound

This paper cites In: International Conference on Learning Representations (2019).

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Learning Representations (2019)

Reference 75

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raw_fallback, observed 2026-08-12T17:14:28.701052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.338639Z digest=sha256:3db277dd62c12b3144f48cbd631e62cf0edd8efd18a59fc728ef5e4d2152aeb3

Observation 47752f6e-574c-4671-8dfd-0d301a7816cd · outbound

This paper cites Scientific data 5(1), 1–9 (2018).

Data-to-Model Distillation: Data-Efficient Learning Framework Scientific data 5(1), 1–9 (2018)

Reference 76

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source=pdf_text observed=2026-08-12T17:14:28.340665Z digest=sha256:7f5a88ddd026009bb0bc1f35ff90c6258cf6abdd828b96c6982842e4113cc356

Observation 9d95021b-4b24-431b-a0ec-a23111419a21 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Data-to-Model Distillation: Data-Efficient Learning Framework Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 77

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source=pdf_text observed=2026-08-12T17:14:28.343269Z digest=sha256:1aa6a1fc8e8c86bedc04785ae0a7a44dc502987f3bea82a25f1f9683526da9f2

Observation 2daaf3f4-5d80-4188-aaf8-8db254538cab · outbound

This paper cites DiM: Distilling Dataset into Generative Model.

Data-to-Model Distillation: Data-Efficient Learning Framework DiM: Distilling Dataset into Generative Model

Reference 78

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source=pdf_text observed=2026-08-12T17:14:28.347680Z digest=sha256:48f39a3bec0ce3b79a88f76e5bcf01e745a99bf60c65c38648f459af2452f160

Observation c0b363a8-c287-4be2-a868-88313c78a23b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:14:28.350363Z digest=sha256:3864c0b4fc50c6e5f283cc62167e8b8af214b27e8523f52519d7e1c817504d3d

Observation 8e2c1434-6fbf-45aa-957e-6624bb0b20c8 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 80

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T17:14:28.352767Z digest=sha256:df84dd4c951d8707a793a258482d37cc6338e5291fe64ffb61eb3e809a6b2957

Observation 16c4e081-dc52-46ac-8a8e-332a3970bfd9 · outbound

This paper cites Dataset Distillation.

Data-to-Model Distillation: Data-Efficient Learning Framework Dataset Distillation

Reference 81

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source=pdf_text observed=2026-08-12T17:14:28.356013Z digest=sha256:6440ed1872166fd6e24d3091f8b88fc52a7a2d23d0d398b26b8ec6fdf08d64d8

Observation a54f0261-3db3-4073-abb5-83e6c55d1f89 · outbound

This paper cites In: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Data-to-Model Distillation: Data-Efficient Learning Framework In: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Reference 82

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source=pdf_text observed=2026-08-12T17:14:28.359168Z digest=sha256:0f1e2617ce1e3874fb2de01ea3ca67bad2890bf43dd16e84b1ffa0c230d1edc2

Observation 30fafabe-fc62-4742-acbb-81a5ebe8633b · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 83

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raw_fallback, observed 2026-08-12T17:14:28.676655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.360934Z digest=sha256:268aac98757bfcdf9a00aa2e6371279a0b516433def46ea24c3ac29dce250248

Observation b730e3c2-fb81-4f42-b8bf-b2b1b0ffdebf · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 84

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T17:14:28.362611Z digest=sha256:cdfd664d5ffe93b450fd15c02e41643a4db0912831536952b909185f6d8a271c

Observation d7520200-10bf-43f4-85a5-8ac7ca84fd46 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Data-to-Model Distillation: Data-Efficient Learning Framework Advances in Neural Information Processing Systems 36 (2024)

Reference 85

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raw_fallback, observed 2026-08-12T17:14:28.663354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.364299Z digest=sha256:69777e78ead4574214845ef1634cb648308cefb0b9766001b603e4263ef37fc1

Observation 616ef04a-b468-4c3b-ae2a-cec798a836a6 · outbound

This paper cites Scientific Data 10(1), 41 (2023).

Data-to-Model Distillation: Data-Efficient Learning Framework Scientific Data 10(1), 41 (2023)

Reference 86

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source=pdf_text observed=2026-08-12T17:14:28.366061Z digest=sha256:a99c2b490b1ed8138a33f60b33b943d658914b5f3aa5b555c0b6ca60b15e22a7

Observation 0ce7bb07-508c-4958-8c77-c2180670ae27 · outbound

This paper cites In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023) 20 Ahmad Sajedi *, Samir Khaki* et al.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) (2023) 20 Ahmad Sajedi *, Samir Khaki* et al

Reference 87

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raw_fallback, observed 2026-08-12T17:14:28.651071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.368966Z digest=sha256:76d70900ac7f83bb3c64e546e2a746506e088294a2d0fb6d2f5ff7b85cec8a7a

Observation a2b46f3c-edf1-4e8e-ac59-fcc71cf04a06 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 88

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raw_fallback, observed 2026-08-12T17:14:28.643354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.371581Z digest=sha256:2b3b286951794ccc42ca270fed3cdf6819c2b723eef6266997088dad2ea1aa27

Observation 67d16bbb-f2a3-4556-a251-e5af23a9812c · outbound

This paper cites In: Interna- tional Conference on Learning Representations (2016).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Interna- tional Conference on Learning Representations (2016)

Reference 89

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raw_fallback, observed 2026-08-12T17:14:28.635799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.374409Z digest=sha256:d503fea267e666820f67904c81b005f217fed748c9e91682b0a2b2be545445c7

Observation 74982fd2-2339-4a7b-a44c-af87c5d671aa · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 90

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source=pdf_text observed=2026-08-12T17:14:28.376983Z digest=sha256:622dd2da5a582463d6a608e549c31cff9c7bcff09e27d2f3895f191d7c81d30a

Observation 6f801065-3db8-440d-963a-33da93316d0b · outbound

This paper cites In: International Conference on Machine Learning.

Data-to-Model Distillation: Data-Efficient Learning Framework In: International Conference on Machine Learning

Reference 91

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source=pdf_text observed=2026-08-12T17:14:28.379173Z digest=sha256:242aa45633600305296b346d260a3bf78fa68cd2b8d879b5737b6929eb51fab7

Observation 15c6c773-4129-4a8a-b5b5-23281d19bc95 · outbound

This paper cites In: NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework In: NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research (2022)

Reference 92

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raw_fallback, observed 2026-08-12T17:14:28.617865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.381092Z digest=sha256:5da38badf5a4daf6daf9fab36fb568c8227950be696b09b4ccd7b140a4e7803e

Observation 946faa8b-af48-4d7c-8eaf-e9a1eb3a99f4 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 93

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T17:14:28.383106Z digest=sha256:054524925bdfe7089902d8689e32059c9a1e6aaf79dc936a49cec8c2b803fd15

Observation 546117e2-79a4-45ee-b9e0-e7df2802b96e · outbound

This paper cites In: Ninth International Conference on Learning Representations 2021 (2021).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Ninth International Conference on Learning Representations 2021 (2021)

Reference 94

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raw_fallback, observed 2026-08-12T17:14:28.605274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.385146Z digest=sha256:44efc69571f84badfbff99aa8b4d5a3287f330fa19cabfeded8b9d32ff135d04

Observation c9c5b727-72e7-4fd7-8633-5ba325107f69 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 95

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T17:14:28.387160Z digest=sha256:5ca191b58b4d3db8a0f91a8e3dd7d9a792d683ba393d7a3cc3d42a55cae0d7ca

Observation 1d011cdc-c832-43c3-b701-6b5010436f9e · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Data-to-Model Distillation: Data-Efficient Learning Framework In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 96

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raw_fallback, observed 2026-08-12T17:14:28.592669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.389091Z digest=sha256:3e33140cac61b154304aabbedcc6a2aeff2de96d33714df0f0fea8977e70aa9d

Observation ffb9d29a-14a3-4cce-b368-815ed1a8d415 · outbound

This paper cites In: Advances in Neural Information Processing Systems (2022).

Data-to-Model Distillation: Data-Efficient Learning Framework In: Advances in Neural Information Processing Systems (2022)

Reference 97

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raw_fallback, observed 2026-08-12T17:14:28.584514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.391913Z digest=sha256:79d4eab042ccfb1918dead0eb608b2607a97009613b490d09babdbe071427b73

Observation b0f9f27c-6854-4e0a-aca4-e78444f17e7f · outbound

This paper cites airplane.

Data-to-Model Distillation: Data-Efficient Learning Framework airplane

Reference 98

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malformed identifier
raw_fallback, observed 2026-08-12T17:14:28.576664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T17:14:28.395308Z digest=sha256:ce95001ce3204cdbe33227ffc2cd1115d94b2085332a4736e6b2c19f2247b2fc

Pith citing papers

No inbound Pith citation observations are available.