A Faster Path to Continual Learning | Paper Citation Record

Observation 1e0756f6-a6bd-4bb3-ba3b-e2dff48f024d · outbound

This paper cites Conditional channel gated networks for task-aware continual learning.

A Faster Path to Continual Learning Conditional channel gated networks for task-aware continual learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.697386Z

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Observation 5b85c57a-24ec-4a78-b78a-ff18ce0881d5 · outbound

This paper cites Subspace regularizers for few-shot class incremental learning.ICLR.

A Faster Path to Continual Learning Subspace regularizers for few-shot class incremental learning.ICLR

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.701864Z

Source-reported events for the cited work

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Observation 5c381161-0429-4a6d-82ea-14851b38a3b5 · outbound

This paper cites Shaping the learning landscape in neural networks around wide flat minima.Proceedings of the National Academy of Sciences, 117(1):161–170.

A Faster Path to Continual Learning Shaping the learning landscape in neural networks around wide flat minima.Proceedings of the National Academy of Sciences, 117(1):161–170

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.695042Z

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No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 81f93122-3d21-4a3d-b472-00a779097a64 · outbound

This paper cites Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.Advances in neural information processing systems.

A Faster Path to Continual Learning Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.Advances in neural information processing systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.541374Z

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Observation 102de6c8-5fba-467a-afdc-a950f938090f · outbound

This paper cites Task-aware information routing from common representation space in lifelong learning.ICLR.

A Faster Path to Continual Learning Task-aware information routing from common representation space in lifelong learning.ICLR

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.564305Z

Source-reported events for the cited work

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Observation a621fe9f-24b4-4526-96a7-cd2013fbf4db · outbound

This paper cites Make continual learning stronger via c-flat.Advances in Neural Information Processing Systems, 37:7608–7630.

A Faster Path to Continual Learning Make continual learning stronger via c-flat.Advances in Neural Information Processing Systems, 37:7608–7630

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.646399Z

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Observation f94591f2-64e2-4378-8005-a2a414e4d9ff · outbound

This paper cites Cpr: classifier-projection regular- ization for continual learning.ICLR.

A Faster Path to Continual Learning Cpr: classifier-projection regular- ization for continual learning.ICLR

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.514576Z

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Observation 18c1c2bf-80ee-4e95-89ed-0590abf9caeb · outbound

This paper cites Flattening sharpness for dynamic gradient projection memory benefits continual learning.

A Faster Path to Continual Learning Flattening sharpness for dynamic gradient projection memory benefits continual learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.600176Z

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Observation 6cde9557-44c2-461d-954f-58ece43ec642 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

A Faster Path to Continual Learning Imagenet: A large-scale hierarchical image database

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.544042Z

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No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 9ec33ad2-5720-4fdd-a51b-0a55082d3ed9 · outbound

This paper cites Efficient Sharpness-aware Minimization for Improved Training of Neural Networks.

A Faster Path to Continual Learning Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.684644Z

Source-reported events for the cited work

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Observation e1bb7974-54e8-4f03-8b10-9aac9bf54738 · outbound

This paper cites Sharpness-aware training for free.Ad- vances in Neural Information Processing Systems, 35:23439– 23451.

A Faster Path to Continual Learning Sharpness-aware training for free.Ad- vances in Neural Information Processing Systems, 35:23439– 23451

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.610257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e75385ed-8fbb-4c32-8293-966f8b6e1602 · outbound

This paper cites Overcoming catastrophic forgetting in incremental object detection via elastic response distillation.

A Faster Path to Continual Learning Overcoming catastrophic forgetting in incremental object detection via elastic response distillation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.551505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c3e77ca0-e1cb-452d-b05f-d2dea846b013 · outbound

This paper cites Zeroflow: Overcoming catas- trophic forgetting is easier than you think.

A Faster Path to Continual Learning Zeroflow: Overcoming catas- trophic forgetting is easier than you think

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.519138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 9821765c-0b98-4cbd-a687-8f8bcec08745 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

A Faster Path to Continual Learning Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:13:53.559812Z

Source-reported events for the cited work

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Observation 15c518c9-2b64-409e-a642-13a21ced6cf5 · outbound

This paper cites Decorate the newcomers: Vi- sual domain prompt for continual test time adaptation.

A Faster Path to Continual Learning Decorate the newcomers: Vi- sual domain prompt for continual test time adaptation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.572307Z

Source-reported events for the cited work

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Observation faa01e42-38b2-425d-8159-8e63d22b6202 · outbound

This paper cites R-dfcil: Relation-guided representation learning for data-free class incremental learning.

A Faster Path to Continual Learning R-dfcil: Relation-guided representation learning for data-free class incremental learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.580023Z

Source-reported events for the cited work

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Observation f3f46cc8-873b-4bcd-ad9a-4cd563fdd5b8 · outbound

This paper cites A unified continual learn- ing framework with general parameter-efficient tuning.

A Faster Path to Continual Learning A unified continual learn- ing framework with general parameter-efficient tuning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.590377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0e55cce2-8f9a-4a76-941b-cc0eadefb600 · outbound

This paper cites Embracing change: Continual learning in deep neural networks.Trends in cognitive sciences, 24(12):1028– 1040.

A Faster Path to Continual Learning Embracing change: Continual learning in deep neural networks.Trends in cognitive sciences, 24(12):1028– 1040

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.655955Z

Source-reported events for the cited work

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Observation bc9d762c-b19b-481f-bbf9-001484f5904d · outbound

This paper cites Asymmetric val- leys: Beyond sharp and flat local minima.NeurIPS, 32.

A Faster Path to Continual Learning Asymmetric val- leys: Beyond sharp and flat local minima.NeurIPS, 32

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.699477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 09a0b2ff-5384-4c7c-8dfa-8aabb158652c · outbound

This paper cites The many faces of robust- ness: A critical analysis of out-of-distribution generalization.

A Faster Path to Continual Learning The many faces of robust- ness: A critical analysis of out-of-distribution generalization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.569501Z

Source-reported events for the cited work

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Observation 232e3259-ee31-4ef3-89e0-5f290e1e6bb1 · outbound

This paper cites Dense network expansion for class incre- mental learning.

A Faster Path to Continual Learning Dense network expansion for class incre- mental learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.546362Z

Source-reported events for the cited work

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Observation cefba176-68f3-475b-a9e4-05f923f91946 · outbound

This paper cites Birt: Bio-inspired replay in vision transformers for continual learning.ICML.

A Faster Path to Continual Learning Birt: Bio-inspired replay in vision transformers for continual learning.ICML

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.583019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 66fe1a05-3c30-4814-82ab-593cee426121 · outbound

This paper cites Vi- sual prompt tuning.

A Faster Path to Continual Learning Vi- sual prompt tuning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.559063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation bd35aaa5-c27a-4300-8a22-5cfcc5a62698 · outbound

This paper cites An Adaptive Policy to Employ Sharpness-Aware Minimization.

A Faster Path to Continual Learning An Adaptive Policy to Employ Sharpness-Aware Minimization

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.579346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c535b9f7-5ccd-4de0-8ec5-1e938f7da82a · outbound

This paper cites Generating instance-level prompts for rehearsal-free continual learning.

A Faster Path to Continual Learning Generating instance-level prompts for rehearsal-free continual learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.524102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 92fe2145-df7b-484c-9928-03a9ce27c437 · outbound

This paper cites Introducing language guidance in prompt-based continual learning.

A Faster Path to Continual Learning Introducing language guidance in prompt-based continual learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.548731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4c683a14-ded8-457d-b11b-1931272ed646 · outbound

This paper cites Self-regulating prompts: Foundational model adap- tation without forgetting.

A Faster Path to Continual Learning Self-regulating prompts: Foundational model adap- tation without forgetting

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.666415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4d70aa01-7f97-4e30-8a05-2328fb729223 · outbound

This paper cites Warping the space: Weight space rotation for class- incremental few-shot learning.

A Faster Path to Continual Learning Warping the space: Weight space rotation for class- incremental few-shot learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.526499Z

Source-reported events for the cited work

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Observation 81b130ad-c73f-44e3-9231-cb06cf1870ca · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

A Faster Path to Continual Learning Overcoming catastrophic forgetting in neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.683849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 44e38d3b-9cc6-49f4-9242-3d872b3361b3 · outbound

This paper cites an unresolved cited work.

A Faster Path to Continual Learning Unresolved cited work

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.516913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c1c79965-0809-4320-8105-fe6b7294c331 · outbound

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

A Faster Path to Continual Learning Learning multiple layers of features from tiny images.Technical report

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.651327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 32d9bb99-c93f-4678-b2c1-18aaf5181427 · outbound

This paper cites Learning without forgetting.

A Faster Path to Continual Learning Learning without forgetting

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.530869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation ac4b50bf-c060-4591-b9f1-7ad7c39f9efd · outbound

This paper cites Pcr: Proxy-based contrastive replay for online class-incremental continual learning.

A Faster Path to Continual Learning Pcr: Proxy-based contrastive replay for online class-incremental continual learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.595353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b9a5a2fa-94f9-4f0b-b567-432276526d45 · outbound

This paper cites TRGP: Trust Region Gradient Projection for Continual Learning.

A Faster Path to Continual Learning TRGP: Trust Region Gradient Projection for Continual Learning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.638853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 3d5ae36e-6606-465b-b886-56269336b0a6 · outbound

This paper cites Adaptive ag- gregation networks for class-incremental learning.

A Faster Path to Continual Learning Adaptive ag- gregation networks for class-incremental learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.536152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6d1d2da0-422b-4a4e-84e3-162256638328 · outbound

This paper cites Towards efficient and scalable sharpness-aware minimization.

A Faster Path to Continual Learning Towards efficient and scalable sharpness-aware minimization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.653625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation a99bb73e-8558-42f8-831d-75177f714c47 · outbound

This paper cites Continual gui agents.

A Faster Path to Continual Learning Continual gui agents

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.669946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b2e69fd0-fea3-4175-80a7-b1d2601a99e5 · outbound

This paper cites McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, and Anton van den Hengel.

A Faster Path to Continual Learning McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, and Anton van den Hengel

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.615408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cb0b6e14-4564-4245-a912-7b14c1d5df16 · outbound

This paper cites An empirical investigation of the role of pre-training in lifelong learning.J.

A Faster Path to Continual Learning An empirical investigation of the role of pre-training in lifelong learning.J

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.585587Z

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No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 86f64d11-8740-4aa9-a940-7fe680f213e7 · outbound

This paper cites Alife: Adaptive logit regularizer and feature replay for incremental semantic segmentation.NeurIPS.

A Faster Path to Continual Learning Alife: Adaptive logit regularizer and feature replay for incremental semantic segmentation.NeurIPS

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.633889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 518969ea-b30d-482c-a87f-2fb40c8859fe · outbound

This paper cites Train with perturbation, infer after merging: A two-stage framework for continual learning.

A Faster Path to Continual Learning Train with perturbation, infer after merging: A two-stage framework for continual learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.626242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 137baf95-de6c-47b9-b7c7-b621bec53229 · outbound

This paper cites icarl: Incremental classifier and representation learning.

A Faster Path to Continual Learning icarl: Incremental classifier and representation learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.639195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c0b93800-616d-4816-8aa1-8ec0d1a8eeeb · outbound

This paper cites Experience replay for continual learning.

A Faster Path to Continual Learning Experience replay for continual learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.690375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 3da3a6cc-798e-42cf-9d01-0b68bc5a1d65 · outbound

This paper cites Continual learning via sequential function-space variational inference.

A Faster Path to Continual Learning Continual learning via sequential function-space variational inference

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.648799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 8a048e17-39b5-4de3-9692-f68a8f175a49 · outbound

This paper cites Gradient pro- jection memory for continual learning.

A Faster Path to Continual Learning Gradient pro- jection memory for continual learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.612737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 886ccbf8-428b-41db-8b5d-cb572e9bbba8 · outbound

This paper cites Overcoming catastrophic forgetting with hard attention to the task.

A Faster Path to Continual Learning Overcoming catastrophic forgetting with hard attention to the task

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.688307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation bc34cfb7-1006-4ab0-bd35-16167af3dafc · outbound

This paper cites Overcoming catastrophic forget- ting in incremental few-shot learning by finding flat minima.

A Faster Path to Continual Learning Overcoming catastrophic forget- ting in incremental few-shot learning by finding flat minima

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.561835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c44fbd57-44f1-47a4-a187-8e3226cedb71 · outbound

This paper cites Woodfisher: Efficient second-order approximation for neural network compres- sion.Advances in Neural Information Processing Systems, 33:18098–18109.

A Faster Path to Continual Learning Woodfisher: Efficient second-order approximation for neural network compres- sion.Advances in Neural Information Processing Systems, 33:18098–18109

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.566825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0defe8da-a57f-4660-bd73-dccb596ac323 · outbound

This paper cites Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning.

A Faster Path to Continual Learning Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.628674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c133ffda-c1cb-47de-9aa2-f607c23a7f10 · outbound

This paper cites Decoupling learning and remembering: A bilevel memory framework with knowledge projection for task-incremental learning.

A Faster Path to Continual Learning Decoupling learning and remembering: A bilevel memory framework with knowledge projection for task-incremental learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.602978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 26ef4a2f-0845-4ce6-b0b2-e6af496e5224 · outbound

This paper cites Regularizing second-order influences for continual learning.

A Faster Path to Continual Learning Regularizing second-order influences for continual learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.538676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 1456d6a5-4602-410b-80e0-0dae61fd9f45 · outbound

This paper cites When prompt-based incremental learning does not meet strong pre- training.

A Faster Path to Continual Learning When prompt-based incremental learning does not meet strong pre- training

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.631308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 21d26a7e-8a7e-45d2-887e-5a143a0ccf51 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

A Faster Path to Continual Learning The caltech-ucsd birds-200-2011 dataset

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.512298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e5087580-bc69-41f0-a8ec-5184613bbe2e · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.IEEE transactions on pattern analysis and machine intelligence, 46(8):5362–5383.

A Faster Path to Continual Learning A comprehensive survey of continual learning: Theory, method and application.IEEE transactions on pattern analysis and machine intelligence, 46(8):5362–5383

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.641860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f3b46e5c-10cc-4257-a022-ec500f07737e · outbound

This paper cites S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.Advances in Neural Informa- tion Processing Systems, 35:5682–5695.

A Faster Path to Continual Learning S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.Advances in Neural Informa- tion Processing Systems, 35:5682–5695

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.521720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7ac95487-f5b0-465c-8460-6b9ee85b63db · outbound

This paper cites Isolation and impartial aggre- gation: A paradigm of incremental learning without interfer- ence.

A Faster Path to Continual Learning Isolation and impartial aggre- gation: A paradigm of incremental learning without interfer- ence

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.577427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 87cd652e-6b85-41e7-897b-38ff3f81059d · outbound

This paper cites Learning to prompt for continual learning.

A Faster Path to Continual Learning Learning to prompt for continual learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.597697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation ebde55d8-f882-47c7-9bca-e73b5cfe2606 · outbound

This paper cites DER: dynam- ically expandable representation for class incremental learn- ing.

A Faster Path to Continual Learning DER: dynam- ically expandable representation for class incremental learn- ing

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.681013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 18996930-5ded-41a9-a40a-ad685c3822b6 · outbound

This paper cites Scalable and order-robust continual learning with additive parameter decomposition.

A Faster Path to Continual Learning Scalable and order-robust continual learning with additive parameter decomposition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.663945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation eb7705c8-46ce-4814-a894-3cc9032c1858 · outbound

This paper cites Slca: Slow learner with classifier align- ment for continual learning on a pre-trained model.

A Faster Path to Continual Learning Slca: Slow learner with classifier align- ment for continual learning on a pre-trained model

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.658289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 69848000-f247-4d28-a675-329d1b8090c8 · outbound

This paper cites Gradient norm aware minimization seeks first-order flatness and improves generalization.

A Faster Path to Continual Learning Gradient norm aware minimization seeks first-order flatness and improves generalization

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.553978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 79d85654-4035-4c1c-8114-1720b9507eb5 · outbound

This paper cites Penalizing gra- dient norm for efficiently improving generalization in deep learning.

A Faster Path to Continual Learning Penalizing gra- dient norm for efficiently improving generalization in deep learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.692826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cbcda845-996f-4a95-9134-0e729928a769 · outbound

This paper cites Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning.

A Faster Path to Continual Learning Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.654579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 56e45640-04ad-42ad-a1ef-dedea919845c · outbound

This paper cites Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models.

A Faster Path to Continual Learning Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.714403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c8e2591f-403f-4133-94a5-ab57a7583f19 · outbound

This paper cites Pycil: A python toolbox for class-incremental learning.

A Faster Path to Continual Learning Pycil: A python toolbox for class-incremental learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.556502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 1659b2f8-c1cc-4897-a568-450421948b70 · outbound

This paper cites Class-Incremental Learning: A Survey.

A Faster Path to Continual Learning Class-Incremental Learning: A Survey

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.566040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 5976a6c7-1781-43d2-adf4-93264c36a641 · outbound

This paper cites A model or 603 exemplars: Towards memory-efficient class-incremental learning.ICLR.

A Faster Path to Continual Learning A model or 603 exemplars: Towards memory-efficient class-incremental learning.ICLR

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.588089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7c409b5f-41fc-42db-a5f1-b216a5345124 · outbound

This paper cites Learning without Forgetting for Vision-Language Models.

A Faster Path to Continual Learning Learning without Forgetting for Vision-Language Models

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.596828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 18340acc-8303-4435-a897-379b78683bae · outbound

This paper cites Revisiting class-incremental learning with pre- trained models: Generalizability and adaptivity are all you need.International Journal of Computer Vision.

A Faster Path to Continual Learning Revisiting class-incremental learning with pre- trained models: Generalizability and adaptivity are all you need.International Journal of Computer Vision

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.618246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation d5f23034-14b4-45a4-a37e-358bdd969aa5 · outbound

This paper cites Continual Learning with Pre-Trained Models: A Survey.

A Faster Path to Continual Learning Continual Learning with Pre-Trained Models: A Survey

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.630246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation d5a1be9d-966a-49b8-9b38-ce4104b93a5b · outbound

This paper cites Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning.

A Faster Path to Continual Learning Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.605885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 898ea833-c673-4a00-a88b-6c2f1ad31e5e · outbound

This paper cites Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training.

A Faster Path to Continual Learning Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.533502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b0d255a8-557b-4785-966d-c23e34741a91 · outbound

This paper cites Prototype augmentation and self-supervision for incremental learning.

A Faster Path to Continual Learning Prototype augmentation and self-supervision for incremental learning

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.592793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c86d6297-8ccd-4efc-ae0b-1949faf9349d · outbound

This paper cites Self-sustaining representation expansion for non-exemplar class-incremental learning.

A Faster Path to Continual Learning Self-sustaining representation expansion for non-exemplar class-incremental learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.620872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation feb4ee73-03c2-43d8-9326-3d88681e4b14 · outbound

This paper cites Surrogate Gap Minimization Improves Sharpness-Aware Training.

A Faster Path to Continual Learning Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.618219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4fb46705-f756-499d-b7be-96c76b692e51 · outbound

This paper cites Appendix A.1.

A Faster Path to Continual Learning Appendix A.1

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.686024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 2fbbbb32-dd33-4b5b-9d7b-dfa84d6045bc · outbound

This paper cites an unresolved cited work.

A Faster Path to Continual Learning Unresolved cited work

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.644066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 5ba93c19-3383-407b-a6fb-d41f6b282d85 · outbound

This paper cites an unresolved cited work.

A Faster Path to Continual Learning Unresolved cited work

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.607584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6d2d78e7-af7e-4761-a4c8-dbe30adbd0a6 · outbound

This paper cites an unresolved cited work.

A Faster Path to Continual Learning Unresolved cited work

Reference 79

Resolution: parse uncertain; raw_fallback, observed 2026-05-18T02:32:19.605224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 5cc95f38-a537-409d-baae-2ff535407d4d · outbound

This paper cites an unresolved cited work.

A Faster Path to Continual Learning Unresolved cited work

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.623190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 282c4e86-2005-4313-8d39-1da216c447d1 · outbound

This paper cites an unresolved cited work.

A Faster Path to Continual Learning Unresolved cited work

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.527988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7d8184c5-270c-4437-b7c6-08bc46c5962c · outbound

This paper cites an unresolved cited work.

A Faster Path to Continual Learning Unresolved cited work

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.528751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 9be27441-2892-4aec-96a8-43fda6ff82b8 · outbound

This paper cites an unresolved cited work.

A Faster Path to Continual Learning Unresolved cited work

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.574649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4d47c03e-5b94-4695-8a63-71542a3db753 · outbound

This paper cites Assumption 4(Stepsize and perturbation schedule).We use the schedule in [61]: 𝜂𝑡 = 𝜂0√𝑡 , 𝜌 𝑡 = 𝜌0√𝑡 , with𝜂 0 chosen so that𝜂 𝑡 ≤1/(4𝐿)for all𝑡.

A Faster Path to Continual Learning Assumption 4(Stepsize and perturbation schedule).We use the schedule in [61]: 𝜂𝑡 = 𝜂0√𝑡 , 𝜌 𝑡 = 𝜌0√𝑡 , with𝜂 0 chosen so that𝜂 𝑡 ≤1/(4𝐿)for all𝑡

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T02:32:19.533619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

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Reference resolution

Outbound references

Pith citing papers