Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning | Paper Citation Record

Observation 1c54a6ee-85ac-49a8-bcbf-86d1a84e4619 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Overcoming catastrophic forgetting in neural networks,

Reference 1

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Observation 42406683-2706-403d-b9d1-7c82ae540a94 · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Continual lifelong learning with neural networks: A review,

Reference 2

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Observation 65b6d806-8ab3-4574-b45f-c154f2aff1ab · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning A continual learning survey: Defying forgetting in classification tasks,

Reference 3

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Observation 26788a50-9b21-4637-82b4-fedd2bbf3a06 · outbound

This paper cites Catastrophic interference in connectionist networks: The sequential learning problem,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Catastrophic interference in connectionist networks: The sequential learning problem,

Reference 4

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Observation d7847459-b7a7-436a-80d9-fabd3879ffeb · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 5

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Observation 1bdc86b1-03d8-4748-84b1-c2d334af9478 · outbound

This paper cites Natural continual learning: success is a journey, not (just) a destination,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Natural continual learning: success is a journey, not (just) a destination,

Reference 6

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Observation c93e9e9f-b33e-43a3-882c-b5cb3c6eff98 · outbound

This paper cites Adaptive plasticity improvement for continual learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Adaptive plasticity improvement for continual learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.512714Z

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Observation 738f230d-4456-48d3-b6dd-20fe43270d30 · outbound

This paper cites Experience replay for continual learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Experience replay for continual learning,

Reference 8

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Observation 11ff96c2-7ae9-46d7-bac1-fac12002e6f5 · outbound

This paper cites icarl: Incremental classifier and representation learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning icarl: Incremental classifier and representation learning,

Reference 9

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Observation cce676e8-28c3-4aa8-b98d-06d6afb8c33b · outbound

This paper cites Online continual learning through mutual information maximization,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Online continual learning through mutual information maximization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.485491Z

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Observation 8b89b1bc-651e-4b11-a921-158532941db4 · outbound

This paper cites Learning to learn without forgetting by maximizing transfer and minimizing interference,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Learning to learn without forgetting by maximizing transfer and minimizing interference,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.474987Z

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Observation 00368bd9-6745-4f12-8f8e-99d7a829ef59 · outbound

This paper cites A unified approach to domain incremental learning with memory: Theory and algorithm,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning A unified approach to domain incremental learning with memory: Theory and algorithm,

Reference 12

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Observation 20f2ae7f-745f-411f-b3dd-ef57254a6b0d · outbound

This paper cites Stability analysis for incremental adaptive dynamic programming with approximation errors,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Stability analysis for incremental adaptive dynamic programming with approximation errors,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.453697Z

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Observation a12183e3-ff66-40b7-a4c4-e26ab4551bae · outbound

This paper cites Optimal continual learning has perfect memory and is np-hard,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Optimal continual learning has perfect memory and is np-hard,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.442266Z

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Observation dc6d8555-9e9b-4c63-b7be-fcace319efcf · outbound

This paper cites Information-theoretic analysis of generalization capability of learning algorithms,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Information-theoretic analysis of generalization capability of learning algorithms,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.430645Z

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Observation b5d77bd8-b11f-498e-8848-fdb77ab91805 · outbound

This paper cites Reasoning about generalization via conditional mutual information,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Reasoning about generalization via conditional mutual information,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.419401Z

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Observation f883b3c0-d709-48ff-880b-f20c4b0ba3d8 · outbound

This paper cites Sharpened generalization bounds based on conditional mutual information and an application to noisy, iterative algorithms,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Sharpened generalization bounds based on conditional mutual information and an application to noisy, iterative algorithms,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.408186Z

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Observation 1b2740f3-1031-4eb2-8610-ab7920fa6b70 · outbound

This paper cites Hierarchical generalization bounds for deep neural networks,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Hierarchical generalization bounds for deep neural networks,

Reference 18

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Observation bb49febc-4a58-47d0-8519-c8438e6336ea · outbound

This paper cites Catastrophic forgetting in connectionist networks,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Catastrophic forgetting in connectionist networks,

Reference 19

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Observation 0b471f2f-f9fb-4dac-b523-d566f9f3618a · outbound

This paper cites Continual Learning and Catastrophic Forgetting.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Continual Learning and Catastrophic Forgetting

Reference 20

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Observation 0cd95a4c-f5fd-4fe7-b231-c0095b49a961 · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning A comprehensive survey of continual learning: Theory, method and application,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.371295Z

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Observation 64769784-777b-4dc9-be18-6080d005ea2c · outbound

This paper cites Continual learning through synaptic intelligence,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Continual learning through synaptic intelligence,

Reference 22

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Observation d0af1f1e-0a54-41db-8a6d-75b8ed28c25d · outbound

This paper cites Memory aware synapses: Learning what (not) to forget,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Memory aware synapses: Learning what (not) to forget,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.353311Z

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Observation 5f8b5638-eafe-4df7-be08-b5112eb580e5 · outbound

This paper cites Progressive Neural Networks.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Progressive Neural Networks

Reference 24

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This paper cites Packnet: Adding multiple tasks to a single network by iterative pruning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Packnet: Adding multiple tasks to a single network by iterative pruning,

Reference 25

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Observation 89d0a2af-ad1b-4894-9a20-ed5c72548e33 · outbound

This paper cites Continual learning with deep generative replay,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Continual learning with deep generative replay,

Reference 26

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Observation e0e868dc-73cd-4970-8723-2e85db65e973 · outbound

This paper cites Online continual learning from imbalanced data,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Online continual learning from imbalanced data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.328883Z

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Observation a2943fd0-4975-40b5-bef2-5a2bf36d9f9a · outbound

This paper cites Information-theoretic Online Memory Selection for Continual Learning.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Information-theoretic Online Memory Selection for Continual Learning

Reference 28

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Observation 93f4c29e-fdfa-4101-838e-35182cf9129a · outbound

This paper cites New insights on reducing abrupt representation change in online continual learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning New insights on reducing abrupt representation change in online continual learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.317459Z

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Observation 6b6d3ef5-77ea-4f83-a730-c99fbf5d6778 · outbound

This paper cites Gradient based sample selection for online continual learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Gradient based sample selection for online continual learning,

Reference 30

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Observation 4929516b-602f-419f-a341-96696c63674d · outbound

This paper cites Gradient episodic memory for continual learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Gradient episodic memory for continual learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:01.792087Z

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Observation 6ee5a7b0-0b40-4cac-b085-7a3c561cbe91 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Efficient Lifelong Learning with A-GEM

Reference 32

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Observation 15be4fc9-8dcc-40fb-add2-144506e6bc3c · outbound

This paper cites Gradient Projection Memory for Continual Learning.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Gradient Projection Memory for Continual Learning

Reference 33

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Observation 18779305-6448-456b-8431-2edd0791d62d · outbound

This paper cites Theory on forgetting and generalization of continual learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Theory on forgetting and generalization of continual learning,

Reference 34

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Observation 091971e5-a616-4650-82cd-458d882876cb · outbound

This paper cites Understanding Forgetting in Continual Learning with Linear Regression.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Understanding Forgetting in Continual Learning with Linear Regression

Reference 35

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Observation 7dbe4112-0d97-4ef0-8d54-f44dd91eea12 · outbound

This paper cites Information-theoretic generalization bounds of replay-based continual learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Information-theoretic generalization bounds of replay-based continual learning,

Reference 36

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Observation 6e34c2d5-c2e0-4df1-a32c-f2ace55214c8 · outbound

This paper cites Information-theoretic generalization bounds for sgld via data-dependent estimates,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Information-theoretic generalization bounds for sgld via data-dependent estimates,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.280771Z

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Observation 7253c2aa-f5c2-4d68-8f51-420e6a2fe761 · outbound

This paper cites Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:45:01.922686Z

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Observation 5856beee-0467-4719-8445-e2612ec3678b · outbound

This paper cites Why and When Deep is Better than Shallow: Implementation-Agnostic State-Transition Model of Deep Learning.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Why and When Deep is Better than Shallow: Implementation-Agnostic State-Transition Model of Deep Learning

Reference 39

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Observation 98fb48d3-54d3-40c5-a71a-c83660480506 · outbound

This paper cites Computational optimal transport: With applications to data science,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Computational optimal transport: With applications to data science,

Reference 40

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This paper cites Theoretical analysis of domain adaptation with optimal transport,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Theoretical analysis of domain adaptation with optimal transport,

Reference 41

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Observation 755ee23e-e5b8-41d6-9c89-c26b6d0b5e53 · outbound

This paper cites Generalization error bounds using wasserstein distances,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Generalization error bounds using wasserstein distances,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.251447Z

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Observation 6b182289-f2ee-4400-a2ea-c7e453d4aa29 · outbound

This paper cites An information-theoretic view of generalization via wasserstein distance,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning An information-theoretic view of generalization via wasserstein distance,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.238705Z

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Observation 1f8cddca-6793-4ae9-9ff8-26304f84729e · outbound

This paper cites Podnet: Pooled outputs distillation for small-tasks incremental learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Podnet: Pooled outputs distillation for small-tasks incremental learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.225077Z

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Observation 2f771b32-963f-45ed-95a7-d76a09580fa9 · outbound

This paper cites Reducing catastrophic forgetting with associative learning: a lesson from fruit flies,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Reducing catastrophic forgetting with associative learning: a lesson from fruit flies,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.211096Z

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Observation 154f5d01-3210-46bf-b3c8-ef66a029f55f · outbound

This paper cites Selective freezing for efficient continual learning,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Selective freezing for efficient continual learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.197893Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b1f5543-f167-4e73-8b6f-4edcf74f73ab · outbound

This paper cites On the stability-plasticity dilemma in continual meta-learning: Theory and algorithm,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning On the stability-plasticity dilemma in continual meta-learning: Theory and algorithm,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.186817Z

Source-reported events for the cited work

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Observation 2273b53e-da20-4075-9906-e7a5440ab7b6 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Dark experience for general continual learning: a strong, simple baseline,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.175100Z

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Observation b09ba46c-4893-4680-9f4b-36c92cb63df6 · outbound

This paper cites an unresolved cited work.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Unresolved cited work

Reference 49

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Observation bae38747-6f4e-45ea-8c22-48433628c92e · outbound

This paper cites Information-theoretic generalization bounds for black-box learning algorithms,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Information-theoretic generalization bounds for black-box learning algorithms,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:01.862337Z

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This paper cites Towards generalization beyond pointwise learning: A unified information-theoretic perspective,.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Towards generalization beyond pointwise learning: A unified information-theoretic perspective,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.149977Z

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Observation ceeb821f-9662-4881-b27a-e265670f7dda · outbound

This paper cites ¯ρl(W)· TX i=1 W1 ˆPAl,Y|S i,W1:l, PAl,Y|i,W 1:l # .(56) Since the bound (56) holds for everyl∈{0,...,L}, taking the minimum overlgives, genW ≤min l∈{0,...,L} E.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning ¯ρl(W)· TX i=1 W1 ˆPAl,Y|S i,W1:l, PAl,Y|i,W 1:l # .(56) Since the bound (56) holds for everyl∈{0,...,L}, taking the minimum overlgives, genW ≤min l∈{0,...,L} E

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:02.138084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers