Who Cited It

Continual lifelong learning with neural networks: A review

2019 · Neural Networks · 3,145 citations · 5 from inside this corpus

German I. Parisi low, Ronald Kemker, Jose L. Part low, Christopher Kanan, Stefan Wermter

The source holds an abstract for this work, but its best open-access copy is under cc-by-nc-nd, which does not permit us to republish the text. Read it at the source below.

Continual lifelong learning with neural networks: A review (2019)Continual lifelong learning w…A Survey on Transfer Learning (2009)A Survey on Transfer LearningDistilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Self-Organizing Maps (1995)Self-Organizing MapsSelf-organized formation of topologically correct feature maps (1982)Self-organized formation of t…Overcoming catastrophic forgetting in neural networks (2017)Overcoming catastrophic forge…Introduction to the theory of neural computation (1994)Introduction to the theory of…A survey of transfer learning (2016)A survey of transfer learningCurriculum learning (2009)Curriculum learningCatastrophic Interference in Connectionist Networks: The Sequential Learning Problem (1989)Catastrophic Interference in …DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…Catastrophic forgetting in connectionist networks (1999)Catastrophic forgetting in co…Feedback systems: an introduction for scientists and engineers (2008)Feedback systems: an introduc…Learning and development in neural networks: the importance of starting small (1993)Learning and development in n…DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n Recognition (2013)DeCAF: A Deep Convolutional A…Introduction to the Theory of Neural Computation (2018)Introduction to the Theory of…Boosting for transfer learning (2007)Boosting for transfer learningA Growing Neural Gas Network Learns Topologies (1994)'Neural-gas' network for vector quantization and its application to time-series prediction (1993)'Neural-gas' network for vect…Hybrid computing using a neural network with dynamic external memory (2016)Hybrid computing using a neur…A Survey on Multi-Task Learning (2021)A Survey on Multi-Task Learni…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…A continual learning survey: Defying forgetting in classification tasks (2021)A continual learning survey: …A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023)A Brief Overview of ChatGPT: …
24 of 24 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
A Survey on Transfer Learning200923,670
Distilling the Knowledge in a Neural Network201514,099
Self-Organizing Maps199510,390
Self-organized formation of topologically correct feature maps19829,582
Overcoming catastrophic forgetting in neural networks20177,624
Introduction to the theory of neural computation19946,461
A survey of transfer learning20166,290
Curriculum learning20095,154
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem19893,815
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
Catastrophic forgetting in connectionist networks19992,358
Feedback systems: an introduction for scientists and engineers20082,050
Learning and development in neural networks: the importance of starting small19932,029
DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n Recognition20131,803
Introduction to the Theory of Neural Computation20181,789
Boosting for transfer learning20071,748
A Growing Neural Gas Network Learns Topologies19941,612
'Neural-gas' network for vector quantization and its application to time-series prediction19931,448
Hybrid computing using a neural network with dynamic external memory20161,448

What cites it, inside the corpus

PaperYearCited
A Survey on Multi-Task Learning20212,310
On the Opportunities and Risks of Foundation Models20212,265
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]1,853
A continual learning survey: Defying forgetting in classification tasks20211,648
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development20231,444

Links

DOI · Open access copy · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Multimodal Machine Learning ApplicationsComputer Science
Human Pose and Action RecognitionComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports5 author record(s) attached.
  • supports304 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…