Who Cited It

Overcoming catastrophic forgetting in neural networks

2017 · Proceedings of the National Academy of Sciences · 7,624 citations · 5 from inside this corpus

James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz, Joel Veness low, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan low, John Quan low, Tiago Ramalho, Agnieszka Grabska‐Barwińska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, Raia Hadsell

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Overcoming catastrophic forgetting in neural networks (2017)Overcoming catastrophic forge…Deep Reinforcement Learning with Double Q-Learning (2016)Deep Reinforcement Learning w…Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem (1989)Catastrophic Interference in …Deep Reinforcement Learning with Double Q-Learning (2016)Deep Reinforcement Learning w…A Practical Bayesian Framework for Backpropagation Networks (1992)A Practical Bayesian Framewor…Catastrophic forgetting in connectionist networks (1999)Catastrophic forgetting in co…Theory of the backpropagation neural network (1989)Theory of the backpropagation…Modeling Brain Function (1989)Modeling Brain FunctionADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16 (2004)ADVANCES IN NEURAL INFORMATIO…Learning without Forgetting (2017)Learning without ForgettingContinual lifelong learning with neural networks: A review (2019)Continual lifelong learning w…Generalizing from a Few Examples (2020)Generalizing from a Few Examp…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…A continual learning survey: Defying forgetting in classification tasks (2021)A continual learning survey: …
13 of 13 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
Deep Reinforcement Learning with Double Q-Learning20166,271
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem19893,815
Deep Reinforcement Learning with Double Q-Learning20163,516
A Practical Bayesian Framework for Backpropagation Networks19922,962
Catastrophic forgetting in connectionist networks19992,358
Theory of the backpropagation neural network19892,239
Modeling Brain Function19892,071
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 1620042,029

What cites it, inside the corpus

PaperYearCited
Learning without Forgetting20174,034
Continual lifelong learning with neural networks: A review20193,145
Generalizing from a Few Examples20202,761
On the Opportunities and Risks of Foundation Models20212,265
A continual learning survey: Defying forgetting in classification tasks20211,648

Links

DOI · Open access copy · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Model Reduction and Neural NetworksPhysics and Astronomy
Domain Adaptation and Few-Shot LearningComputer Science

Is this record sound?

complete

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

  • supports14 author record(s) attached.
  • supports56 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…