Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay | Paper Citation Record

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This paper cites Online Continual Learning with Maximally Interfered Retrieval.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Online Continual Learning with Maximally Interfered Retrieval

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

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Gradient based sample selection for online continual learning

Reference 2

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 5

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This paper cites Continual Learning with Self-Organizing Maps.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Learning with Self-Organizing Maps

Reference 6

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This paper cites Dark Experience for General Continual Learning: a Strong, Simple Baseline.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Dark Experience for General Continual Learning: a Strong, Simple Baseline

Reference 7

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This paper cites New Insights on Reducing Abrupt Representation Change in Online Continual Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay New Insights on Reducing Abrupt Representation Change in Online Continual Learning

Reference 8

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This paper cites Efficient Lifelong Learning with A-GEM.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Efficient Lifelong Learning with A-GEM

Reference 9

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This paper cites CLA: Latent Alignment for Online Continual Self-Supervised Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay CLA: Latent Alignment for Online Continual Self-Supervised Learning

Reference 10

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 14

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay I.-K.; and Abdulla, W

Reference 16

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This paper cites R.; Wang, K.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay R.; Wang, K

Reference 17

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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This paper cites Auto-Encoding Variational Bayes.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Auto-Encoding Variational Bayes

Reference 20

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay P.; and Welling, M

Reference 21

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This paper cites A.; Milan, K.; Quan, J.; Ramalho, T.; Grabska-Barwinska, A.; Hassabis, D.; Clopath, C.; Kumaran, D.; and Hadsell, R.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay A.; Milan, K.; Quan, J.; Ramalho, T.; Grabska-Barwinska, A.; Hassabis, D.; Clopath, C.; Kumaran, D.; and Hadsell, R

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 24

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Learning without Forgetting

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Gradient Episodic Memory for Continual Learning

Reference 27

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Representational Continuity for Unsupervised Continual Learning

Reference 29

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay L.; and Kifer, D

Reference 32

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning

Reference 33

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay I.; Kemker, R.; Part, J

Reference 34

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This paper cites Dendritic Self-Organizing Maps for Continual Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Dendritic Self-Organizing Maps for Continual Learning

Reference 35

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay W.; and Hadsell, R

Reference 37

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay iCaRL: Incremental Classifier and Representation Learning

Reference 38

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning

Reference 39

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Progressive Neural Networks

Reference 40

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay J.; and Muller, K.-R

Reference 41

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Progress & Compress: A scalable framework for continual learning

Reference 42

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Learning with Deep Generative Replay

Reference 43

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 44

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers

Reference 45

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 46

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This paper cites Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay

Reference 47

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Generative replay with feedback connections as a general strategy for continual learning

Reference 48

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay M.; Tuytelaars, T.; and Tolias, A

Reference 49

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Observation 53ef48ba-b08a-4df8-9eba-d0378bb05493 · outbound

This paper cites A Comprehensive Survey of Continual Learning: Theory, Method and Application.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 50

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 52

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Observation e4b389dd-4d4e-40b1-a495-65af5c3ebfc8 · outbound

This paper cites Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction

Reference 53

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Observation bcfe27f3-092a-4846-897c-df9205ce2c18 · outbound

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Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

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Observation 00cf31c3-a0e4-4818-a6d1-606d112cf2f6 · outbound

This paper cites Continual Learning of Context-dependent Processing in Neural Networks.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Learning of Context-dependent Processing in Neural Networks

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:31:18.103992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b675680-044d-434d-a625-07f6b51d5d27 · outbound

This paper cites Continual Learning Through Synaptic Intelligence.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Learning Through Synaptic Intelligence

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T14:31:17.499418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 210c02c7-1909-47d0-a70d-592351a00b1f · outbound

This paper cites A Statistical Theory of Regularization-Based Continual Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay A Statistical Theory of Regularization-Based Continual Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T14:31:17.582551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c93ecc37-c7a2-4213-b55f-47b73839694b · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay , " * write output.state after.block = add.period write newline

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T14:31:17.678443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d96734-4722-42b6-9cd0-dbce31a78c3e · outbound

This paper cites write newline.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay write newline

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T14:31:17.818382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers