Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis | Paper Citation Record

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This paper cites Memory retention–the synaptic stability versus plasticity dilemma.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Memory retention–the synaptic stability versus plasticity dilemma

Reference 1

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This paper cites On demand classiﬁcation of data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis On demand classiﬁcation of data streams

Reference 2

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

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Memory aware synapses: Learning what (not) to forget

Reference 3

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This paper cites Adaptive learning from evolving data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Adaptive learning from evolving data streams

Reference 4

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This paper cites New ensemble methods for evolving data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis New ensemble methods for evolving data streams

Reference 5

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This paper cites Reacting to dif- ferent types of concept drift: The accuracy updated ensemble algorithm.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Reacting to dif- ferent types of concept drift: The accuracy updated ensemble algorithm

Reference 6

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This paper cites Fuzzy artmap: A neu- ral network architecture for incremental supervised learning of analog multidimensional maps.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Fuzzy artmap: A neu- ral network architecture for incremental supervised learning of analog multidimensional maps

Reference 7

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This paper cites Artmap: Supervised real-time learning and classiﬁcation of nonstationary data by a self-organizing neural network.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Artmap: Supervised real-time learning and classiﬁcation of nonstationary data by a self-organizing neural network

Reference 8

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This paper cites End-to-end incremen- tal learning.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis End-to-end incremen- tal learning

Reference 9

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This paper cites Riemannian walk for incremental learning: Understanding forgetting and intransigence.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Riemannian walk for incremental learning: Understanding forgetting and intransigence

Reference 10

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This paper cites Efﬁcient lifelong learning with A-GEM.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Efﬁcient lifelong learning with A-GEM

Reference 11

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This paper cites Shrinkage algorithms for mmse covariance estimation.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Shrinkage algorithms for mmse covariance estimation

Reference 12

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Observation de78c944-a263-45b3-aacf-7ff4cfad2699 · outbound

This paper cites Ensemble learning in ﬁxed expansion layer networks for mitigating catastrophic forgetting.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Ensemble learning in ﬁxed expansion layer networks for mitigating catastrophic forgetting

Reference 13

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This paper cites On-line estimation with the multivariate gaussian distribution.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis On-line estimation with the multivariate gaussian distribution

Reference 14

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This paper cites Learning without mem- orizing.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Learning without mem- orizing

Reference 15

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This paper cites Mining high-speed data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Mining high-speed data streams

Reference 16

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This paper cites Towards Robust Evaluations of Continual Learning.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Towards Robust Evaluations of Continual Learning

Reference 17

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This paper cites PathNet: Evolution Channels Gradient Descent in Super Neural Networks.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Reference 18

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This paper cites A survey of classiﬁcation methods in data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis A survey of classiﬁcation methods in data streams

Reference 19

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This paper cites Knowledge discovery from data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Knowledge discovery from data streams

Reference 20

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This paper cites Decision trees for mining data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Decision trees for mining data streams

Reference 21

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This paper cites On evaluating stream learning algorithms.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis On evaluating stream learning algorithms

Reference 22

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This paper cites Memory efﬁcient experience replay for streaming learning.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Memory efﬁcient experience replay for streaming learning

Reference 23

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This paper cites Deep residual learning for image recognition.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Deep residual learning for image recognition

Reference 24

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This paper cites Distilling the Knowledge in a Neural Network.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Distilling the Knowledge in a Neural Network

Reference 25

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This paper cites Lifelong learning via progressive distillation and retrospection.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Lifelong learning via progressive distillation and retrospection

Reference 26

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This paper cites Mining time-changing data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Mining time-changing data streams

Reference 27

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This paper cites Learn- ing model trees from evolving data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Learn- ing model trees from evolving data streams

Reference 28

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This paper cites Revisiting distillation and incremental classiﬁer learning.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Revisiting distillation and incremental classiﬁer learning

Reference 29

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This paper cites FearNet: Brain- inspired model for incremental learning.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis FearNet: Brain- inspired model for incremental learning

Reference 30

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This paper cites Measuring catastrophic for- getting in neural networks.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Measuring catastrophic for- getting in neural networks

Reference 31

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This paper cites Overcoming catastrophic forgetting in neural networks.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Overcoming catastrophic forgetting in neural networks

Reference 32

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This paper cites A simple uniﬁed framework for detecting out-of-distribution samples and adversarial attacks.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis A simple uniﬁed framework for detecting out-of-distribution samples and adversarial attacks

Reference 33

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This paper cites Over- coming catastrophic forgetting with unlabeled data in the wild.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Over- coming catastrophic forgetting with unlabeled data in the wild

Reference 34

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This paper cites Core50: a new dataset and benchmark for continuous object recognition.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Core50: a new dataset and benchmark for continuous object recognition

Reference 35

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This paper cites Gradient episodic memory for continual learning.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Gradient episodic memory for continual learning

Reference 36

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This paper cites Catastrophic inter- ference in connectionist networks: The sequential learning problem.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Catastrophic inter- ference in connectionist networks: The sequential learning problem

Reference 37

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This paper cites Selection and sorting with limited storage.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Selection and sorting with limited storage

Reference 38

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This paper cites Learning to remember: A synaptic plasticity driven framework for continual learning.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Learning to remember: A synaptic plasticity driven framework for continual learning

Reference 39

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This paper cites Incre- mental linear discriminant analysis for classiﬁcation of data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Incre- mental linear discriminant analysis for classiﬁcation of data streams

Reference 40

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This paper cites Lifelong learning of spatiotemporal representa- tions with dual-memory recurrent self-organization.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Lifelong learning of spatiotemporal representa- tions with dual-memory recurrent self-organization

Reference 41

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This paper cites Self-taught learning: transfer learning from unlabeled data.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Self-taught learning: transfer learning from unlabeled data

Reference 42

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This paper cites Scalable and efﬁcient multi-label classiﬁcation for evolving data streams.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Scalable and efﬁcient multi-label classiﬁcation for evolving data streams

Reference 43

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This paper cites icarl: Incremental classiﬁer and representation learning.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis icarl: Incremental classiﬁer and representation learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:16.411594Z

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This paper cites On- line structured laplace approximations for overcoming catas- trophic forgetting.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis On- line structured laplace approximations for overcoming catas- trophic forgetting

Reference 45

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This paper cites Berg, and Li Fei-Fei.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Berg, and Li Fei-Fei

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:16.382648Z

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This paper cites Overcoming catastrophic forgetting with hard atten- tion to the task.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Overcoming catastrophic forgetting with hard atten- tion to the task

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:16.367093Z

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This paper cites Min- ing concept-drifting data streams using ensemble classiﬁers.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Min- ing concept-drifting data streams using ensemble classiﬁers

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:16.351997Z

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This paper cites Gaussian artmap: A neural network for fast incremental learning of noisy multidimensional maps.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Gaussian artmap: A neural network for fast incremental learning of noisy multidimensional maps

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:16.337928Z

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Observation c831cb29-1613-4720-b4b8-bfbebcb43039 · outbound

This paper cites Memory replay gans: learning to generate images from new categories without forgetting.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Memory replay gans: learning to generate images from new categories without forgetting

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:16.323670Z

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Observation 8f15f3fb-65bd-4c0c-af66-4fc3997b82e1 · outbound

This paper cites How transferable are features in deep neural networks? In NeurIPS, pages 3320–3328, 2014.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis How transferable are features in deep neural networks? In NeurIPS, pages 3320–3328, 2014

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:16.309929Z

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Observation ac44a2fd-900b-4517-9420-166344f74b24 · outbound

This paper cites Continual learning through synaptic intelligence.

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Continual learning through synaptic intelligence

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:24:16.296643Z

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