Who Cited It

A continual learning survey: Defying forgetting in classification tasks

2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,648 citations · 0 from inside this corpus

Matthias Delange low, Rahaf Aljundi, Marc Masana, Sarah Parisot low, Xu Jia, Aleš Leonardis, Greg Slabaugh, Tinne Tuytelaars

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

A continual learning survey: Defying forgetting in classification tasks (2021)A continual learning survey: …Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…A Survey on Transfer Learning (2009)A Survey on Transfer LearningDistilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Overcoming catastrophic forgetting in neural networks (2017)Overcoming catastrophic forge…Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …Curriculum learning (2009)Curriculum learningCatastrophic Interference in Connectionist Networks: The Sequential Learning Problem (1989)Catastrophic Interference in …A general reinforcement learning algorithm that masters chess, shogi, and Go through self… (2018)A general reinforcement learn…Continual lifelong learning with neural networks: A review (2019)Continual lifelong learning w…A Practical Bayesian Framework for Backpropagation Networks (1992)A Practical Bayesian Framewor…Catastrophic forgetting in connectionist networks (1999)Catastrophic forgetting in co…A Survey on Multi-Task Learning (2021)A Survey on Multi-Task Learni…
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What this paper cites, inside the corpus

PaperYearCited
Dropout: a simple way to prevent neural networks from overfitting201434,236
A Survey on Transfer Learning200923,670
Distilling the Knowledge in a Neural Network201514,099
Overcoming catastrophic forgetting in neural networks20177,624
Improving neural networks by preventing co-adaptation of feature detectors20126,653
Curriculum learning20095,154
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem19893,815
A general reinforcement learning algorithm that masters chess, shogi, and Go through self…20183,611
Continual lifelong learning with neural networks: A review20193,145
A Practical Bayesian Framework for Backpropagation Networks19922,962
Catastrophic forgetting in connectionist networks19992,358
A Survey on Multi-Task Learning20212,310

Links

DOI · Open access copy · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Multimodal Machine Learning ApplicationsComputer Science

Is this record sound?

complete

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

  • supports8 author record(s) attached.
  • supports179 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 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…