Black-Box Knowledge Transfer across Distinct Feature Sets | Paper Citation Record

Observation 470b12a5-9e11-469a-8933-3502a9bf0ea4 · outbound

This paper cites N., Bates, S., Fannjiang, C., Jordan, M.

Black-Box Knowledge Transfer across Distinct Feature Sets N., Bates, S., Fannjiang, C., Jordan, M

Reference 1

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Observation 35557e67-d15e-4a05-9d77-9356af41d96a · outbound

This paper cites PPI++: Efficient Prediction-Powered Inference.

Black-Box Knowledge Transfer across Distinct Feature Sets PPI++: Efficient Prediction-Powered Inference

Reference 2

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Observation 344f978e-0362-47d5-a694-1e11504e9d64 · outbound

This paper cites T., and Chakraborty, A.

Black-Box Knowledge Transfer across Distinct Feature Sets T., and Chakraborty, A

Reference 3

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Observation 46fc86d0-1967-4a2a-9fd0-b4d0b35b60de · outbound

This paper cites D., Sklar, M., Berk, R., Buja, A., and Zhao, L.

Black-Box Knowledge Transfer across Distinct Feature Sets D., Sklar, M., Berk, R., Buja, A., and Zhao, L

Reference 4

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Observation 488fdc52-bf80-4079-9be9-0040575ba9e8 · outbound

This paper cites (2024), Transfer learning for high-dimensional quantile regression with distribution shift, arXiv preprint arXiv:2411.19933.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Transfer learning for high-dimensional quantile regression with distribution shift, arXiv preprint arXiv:2411.19933

Reference 5

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Observation 8f915990-2f47-4c87-8679-5e1646839db2 · outbound

This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.

Black-Box Knowledge Transfer across Distinct Feature Sets ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Reference 6

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Observation fe073985-f5e4-4e6e-9dba-2194f9550143 · outbound

This paper cites A Recent Survey of Heterogeneous Transfer Learning.

Black-Box Knowledge Transfer across Distinct Feature Sets A Recent Survey of Heterogeneous Transfer Learning

Reference 7

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Observation 9d83c715-b08e-4e62-a8d5-2639e70cdf57 · outbound

This paper cites and Schmidt-Hieber, J.

Black-Box Knowledge Transfer across Distinct Feature Sets and Schmidt-Hieber, J

Reference 8

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Observation 3e1ef470-b5f4-4582-a253-a445d4630194 · outbound

This paper cites (1996), Stacked regressions, Machine learning, 24, 49--64.

Black-Box Knowledge Transfer across Distinct Feature Sets (1996), Stacked regressions, Machine learning, 24, 49--64

Reference 9

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Observation a5cfa611-c060-4a17-ac6b-f7c45a3b337e · outbound

This paper cites T., and Li, H.

Black-Box Knowledge Transfer across Distinct Feature Sets T., and Li, H

Reference 10

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Observation c6af29bc-9f71-450f-aa53-0d9c74a5ece4 · outbound

This paper cites Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure.

Black-Box Knowledge Transfer across Distinct Feature Sets Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure

Reference 11

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Observation ab1c4031-e788-4e9d-a610-ef115856d9e5 · outbound

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Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 12

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Observation f381975f-82dc-479e-bb80-47ec46797906 · outbound

This paper cites and Cai, T.

Black-Box Knowledge Transfer across Distinct Feature Sets and Cai, T

Reference 13

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Observation 81eef3e0-55a3-42ad-ad5f-e84f8f1340ec · outbound

This paper cites Heterogeneous transfer learning for high-dimensional regression with feature mismatch.

Black-Box Knowledge Transfer across Distinct Feature Sets Heterogeneous transfer learning for high-dimensional regression with feature mismatch

Reference 14

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Observation 82062339-9b64-431c-ac2c-4eb73da66475 · outbound

This paper cites (2018), Double/Debiased Machine Learning for Treatment and Structural Parameters, The Econometrics Journal, 21, C1--C68.

Black-Box Knowledge Transfer across Distinct Feature Sets (2018), Double/Debiased Machine Learning for Treatment and Structural Parameters, The Econometrics Journal, 21, C1--C68

Reference 15

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Observation 5a9c9afe-0345-42fa-86c9-def730eff1e5 · outbound

This paper cites and Khoshgoftaar, T.

Black-Box Knowledge Transfer across Distinct Feature Sets and Khoshgoftaar, T

Reference 16

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Observation 1c1b2ac8-4dc6-476d-8343-313995a25192 · outbound

This paper cites (2024), Optimal and safe estimation for high-dimensional semi-supervised learning, Journal of the American Statistical Association, 119, 2748--2759.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Optimal and safe estimation for high-dimensional semi-supervised learning, Journal of the American Statistical Association, 119, 2748--2759

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.544224Z

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Observation a6de7325-25e1-4f60-ac69-be11bcd4e45b · outbound

This paper cites (2024), Deep Learning for Regression Analysis of Interval-Censored Data, Electronic Journal of Statistics, 18, 4292--4321.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Deep Learning for Regression Analysis of Interval-Censored Data, Electronic Journal of Statistics, 18, 4292--4321

Reference 18

Resolution: verified exact; doi, observed 2026-08-14T04:20:58.064473Z

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Observation 27ce7e74-676f-4f02-a2a3-3dbe3bd9a246 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 19

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Observation bde259ce-1daf-41f7-a19b-762b66439d47 · outbound

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Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 20

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Observation b309f38a-1aa7-43dc-b113-08553bd9af67 · outbound

This paper cites (2024), How Do Noise Tails Impact on Deep ReLU Networks? The Annals of Statistics, 52, 1845--1871.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), How Do Noise Tails Impact on Deep ReLU Networks? The Annals of Statistics, 52, 1845--1871

Reference 21

Resolution: verified exact; doi, observed 2026-08-14T04:20:58.040363Z

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Observation 7edfee23-2af3-4da9-8fdb-752cd7a55017 · outbound

This paper cites (2024), LiDAR-CS dataset: LiDAR point cloud dataset with cross-sensors for 3D object detection, in 2024 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), LiDAR-CS dataset: LiDAR point cloud dataset with cross-sensors for 3D object detection, in 2024 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.480546Z

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Observation 65ea35de-0852-443a-8ab1-7bd248afb18d · outbound

This paper cites (2024), Transfusion: Covariate-shift robust transfer learning for high-dimensional regression, in International Conference on Artificial Intelligence and Statistics, PMLR, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Transfusion: Covariate-shift robust transfer learning for high-dimensional regression, in International Conference on Artificial Intelligence and Statistics, PMLR, pp

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.461417Z

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Observation 00829d72-21ce-4025-8ba2-744a4c28ef4b · outbound

This paper cites (2017), The OLCI neural network swarm (ONNS): A bio-geo-optical algorithm for open ocean and coastal waters, Frontiers in Marine Science, 4, 140.

Black-Box Knowledge Transfer across Distinct Feature Sets (2017), The OLCI neural network swarm (ONNS): A bio-geo-optical algorithm for open ocean and coastal waters, Frontiers in Marine Science, 4, 140

Reference 24

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Observation 49b479ae-420a-4c80-97e2-8cef094376e3 · outbound

This paper cites A., Bailey, S.

Black-Box Knowledge Transfer across Distinct Feature Sets A., Bailey, S

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.421733Z

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Observation f881052e-37a4-4aed-902e-1f23012db523 · outbound

This paper cites D., Craven, C.

Black-Box Knowledge Transfer across Distinct Feature Sets D., Craven, C

Reference 26

Resolution: verified exact; doi, observed 2026-08-14T04:20:58.013292Z

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Observation bf109fa4-86cf-462c-ac94-782b7be673f6 · outbound

This paper cites (2024), Meet the 6th-generation Waymo Driver , Waymo Blog (Waypoint), accessed: 2026-04-07.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), Meet the 6th-generation Waymo Driver , Waymo Blog (Waypoint), accessed: 2026-04-07

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.397993Z

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Observation 6ba6f9cd-8177-4cf2-944e-2ad34bfd41a1 · outbound

This paper cites and Langer, S.

Black-Box Knowledge Transfer across Distinct Feature Sets and Langer, S

Reference 28

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Observation ba43a723-6ebe-4207-9286-22654bf20ce1 · outbound

This paper cites (2011), What you saw is not what you get: Domain adaptation using asymmetric kernel transforms, in CVPR 2011, IEEE, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2011), What you saw is not what you get: Domain adaptation using asymmetric kernel transforms, in CVPR 2011, IEEE, pp

Reference 29

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Observation f7c76dd6-6bd2-4a24-b8ff-5715d6e462ed · outbound

This paper cites T., and Li, H.

Black-Box Knowledge Transfer across Distinct Feature Sets T., and Li, H

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.339537Z

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Observation 3632b6fe-3ff6-4a39-a6f6-8fa899b44e9e · outbound

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Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 31

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Observation 835f8aae-dc0c-4a6c-a8d6-2b3280449112 · outbound

This paper cites T., and Li, H.

Black-Box Knowledge Transfer across Distinct Feature Sets T., and Li, H

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.294818Z

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Observation 9fbd46ab-475c-44ed-9975-a86e9908981d · outbound

This paper cites and Li, Y.

Black-Box Knowledge Transfer across Distinct Feature Sets and Li, Y

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.272349Z

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Observation ec7e8eb9-be45-4b67-84eb-5073818ad953 · outbound

This paper cites and Witten, D.

Black-Box Knowledge Transfer across Distinct Feature Sets and Witten, D

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.253246Z

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Observation 8f548852-a2df-4bdc-b0d9-f68da174272b · outbound

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Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 35

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Observation ea63678a-6965-46ed-bee9-97ef0b609c6f · outbound

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Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:20:59.209955Z

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Observation 806fdbe9-5608-4b1d-91ef-32ad0d31415b · outbound

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Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 37

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Observation ebed265b-4b9a-4b73-bd9f-ab2b210cd47d · outbound

This paper cites E., Maritorena, S., Mitchell, B.

Black-Box Knowledge Transfer across Distinct Feature Sets E., Maritorena, S., Mitchell, B

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.158352Z

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Observation 67ef9817-f80d-42d4-a3b6-fc63100fb241 · outbound

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Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:20:59.139617Z

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Observation 0e081ea7-d675-436e-b4b8-77c7574dd7e9 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:20:59.118619Z

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Observation 8a0aa502-3de8-405d-b9b4-cbe6645a5eba · outbound

This paper cites W., Cannings, T.

Black-Box Knowledge Transfer across Distinct Feature Sets W., Cannings, T

Reference 41

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Observation 3a4dbc4e-fde1-495a-add8-bcc1e1dc8f73 · outbound

This paper cites (2020), Nonparametric regression using deep neural networks with ReLU activation function , The Annals of Statistics, 48, 1875 -- 1897.

Black-Box Knowledge Transfer across Distinct Feature Sets (2020), Nonparametric regression using deep neural networks with ReLU activation function , The Annals of Statistics, 48, 1875 -- 1897

Reference 42

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Observation 17bb40de-00a4-4511-a587-bedf3cbb2067 · outbound

This paper cites SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning.

Black-Box Knowledge Transfer across Distinct Feature Sets SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-14T04:20:57.760551Z

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Observation 699afa85-1571-4667-ba8c-360a4a61480d · outbound

This paper cites (2015), Weakly-shared deep transfer networks for heterogeneous-domain knowledge propagation, in Proceedings of the 23rd ACM international conference on Multimedia, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2015), Weakly-shared deep transfer networks for heterogeneous-domain knowledge propagation, in Proceedings of the 23rd ACM international conference on Multimedia, pp

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.067216Z

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Observation 5754bc83-ce39-411c-bc64-2b3b34a07a1d · outbound

This paper cites (2024), A general M-estimation theory in semi-supervised framework, Journal of the American Statistical Association, 119, 1065--1075.

Black-Box Knowledge Transfer across Distinct Feature Sets (2024), A general M-estimation theory in semi-supervised framework, Journal of the American Statistical Association, 119, 1065--1075

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.044720Z

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Observation fa1bb3bc-5a41-479a-bd48-a77b9d67b3d0 · outbound

This paper cites (2026), Prediction-Powered Conditional Inference, arXiv preprint arXiv:2603.05575.

Black-Box Knowledge Transfer across Distinct Feature Sets (2026), Prediction-Powered Conditional Inference, arXiv preprint arXiv:2603.05575

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-14T04:20:57.788379Z

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Observation bfef7098-b0dc-4276-ad4e-347a9fa92b66 · outbound

This paper cites (2015), Transitive transfer learning, in Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, pp.

Black-Box Knowledge Transfer across Distinct Feature Sets (2015), Transitive transfer learning, in Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, pp

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:59.019407Z

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Observation 477a2b7a-4070-4b49-affb-862740310317 · outbound

This paper cites and Feng, Y.

Black-Box Knowledge Transfer across Distinct Feature Sets and Feng, Y

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.990381Z

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Observation 05b64018-8c94-4936-8d2f-04fde20a61fb · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-14T04:20:57.813243Z

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Observation 2e6c8212-2230-41bf-9561-60935dcff469 · outbound

This paper cites (2022), A compilation of global bio-optical in situ data for ocean-colour satellite applications--version three, Earth System Science Data Discussions, 2022, 1--61.

Black-Box Knowledge Transfer across Distinct Feature Sets (2022), A compilation of global bio-optical in situ data for ocean-colour satellite applications--version three, Earth System Science Data Discussions, 2022, 1--61

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.964923Z

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Observation 4bef59bb-a479-4429-8f01-1af78724fe86 · outbound

This paper cites J., Polley, E.

Black-Box Knowledge Transfer across Distinct Feature Sets J., Polley, E

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-14T04:20:57.827420Z

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Observation 0c352f93-020d-48a0-850e-e7ffbb9c35d8 · outbound

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Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:20:58.943765Z

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Observation 4e466466-db7c-40f7-aa69-42ba777a3c65 · outbound

This paper cites an unresolved cited work.

Black-Box Knowledge Transfer across Distinct Feature Sets Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:20:58.924063Z

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Observation 96e7bd76-0f1e-4cfe-8d10-f3be3fcc259a · outbound

This paper cites and Breckon, T.

Black-Box Knowledge Transfer across Distinct Feature Sets and Breckon, T

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.892731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56ab0ff8-8e9f-485e-8778-c7208bb664b8 · outbound

This paper cites (2006), All of nonparametric statistics, Springer.

Black-Box Knowledge Transfer across Distinct Feature Sets (2006), All of nonparametric statistics, Springer

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.870300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9ba6af2-f878-42a8-b6e9-8b7cb9b0f76a · outbound

This paper cites (2001), Adaptive regression by mixing, Journal of the American Statistical Association, 96, 574--588.

Black-Box Knowledge Transfer across Distinct Feature Sets (2001), Adaptive regression by mixing, Journal of the American Statistical Association, 96, 574--588

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.848080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9959354e-cc9e-4564-8743-2c58c63a7bf8 · outbound

This paper cites and Terada, Y.

Black-Box Knowledge Transfer across Distinct Feature Sets and Terada, Y

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.828695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 572de7f3-0059-4975-8340-5fdc523abdc4 · outbound

This paper cites (2020), Heterogeneous few-shot model rectification with semantic mapping, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 3878--3891.

Black-Box Knowledge Transfer across Distinct Feature Sets (2020), Heterogeneous few-shot model rectification with semantic mapping, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 3878--3891

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.807632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cdfff006-53e9-4f80-ae14-44856c80b006 · outbound

This paper cites and Bradic, J.

Black-Box Knowledge Transfer across Distinct Feature Sets and Bradic, J

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.773021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a5fa370-13ce-4c87-bd46-31470a41ebd1 · outbound

This paper cites SMART: A Spectral Transfer Approach to Multi-Task Learning.

Black-Box Knowledge Transfer across Distinct Feature Sets SMART: A Spectral Transfer Approach to Multi-Task Learning

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:20:58.144657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af07d65c-c36d-44ee-b7a6-ac6bd12526b3 · outbound

This paper cites (2026 b ), Trans-glasso: A transfer learning approach to precision matrix estimation, Journal of the American Statistical Association, 1--13.

Black-Box Knowledge Transfer across Distinct Feature Sets (2026 b ), Trans-glasso: A transfer learning approach to precision matrix estimation, Journal of the American Statistical Association, 1--13

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.751011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b327174-d0a8-4963-b0bf-37bc60f4b345 · outbound

This paper cites and Cand \`e s, E.

Black-Box Knowledge Transfer across Distinct Feature Sets and Cand \`e s, E

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:20:58.724544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers