Who Cited It

Generalizing from a Few Examples

2020 · ACM Computing Surveys · 2,761 citations · 4 from inside this corpus

Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni

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.

Generalizing from a Few Examples (2020)Generalizing from a Few Examp…Long Short-Term Memory (1997)Long Short-Term MemoryA Survey on Transfer Learning (2009)A Survey on Transfer LearningLearning from Imbalanced Data (2009)Learning from Imbalanced DataI.—COMPUTING MACHINERY AND INTELLIGENCE (1950)I.—COMPUTING MACHINERY AND IN…Deep Learning (2016)Deep LearningOvercoming catastrophic forgetting in neural networks (2017)Overcoming catastrophic forge…Multitask Learning (1997)Multitask LearningPrototypical Networks for Few-shot Learning (2017)Prototypical Networks for Few…One-shot learning of object categories (2006)One-shot learning of object c…Human-level concept learning through probabilistic program induction (2015)Human-level concept learning …Analysis of Representations for Domain Adaptation (2007)A brief introduction to weakly supervised learning (2017)A brief introduction to weakl…Proceedings for the Annual Meeting of the Cognitive Science Society (2013)Proceedings for the Annual Me…Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu… (2022)Pre-train, Prompt, and Predic…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…Deep Learning for Anomaly Detection: A Review (2020)Deep Learning for Anomaly Det…A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023)
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
A Survey on Transfer Learning200923,670
Learning from Imbalanced Data200910,209
I.—COMPUTING MACHINERY AND INTELLIGENCE19509,966
Deep Learning20168,952
Overcoming catastrophic forgetting in neural networks20177,624
Multitask Learning19976,478
Prototypical Networks for Few-shot Learning20175,204
One-shot learning of object categories20063,095
Human-level concept learning through probabilistic program induction20152,958
Analysis of Representations for Domain Adaptation20072,044
A brief introduction to weakly supervised learning20171,911
Proceedings for the Annual Meeting of the Cognitive Science Society20131,715

What cites it, inside the corpus

PaperYearCited
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…20223,836
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]1,853
Deep Learning for Anomaly Detection: A Review20201,731
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development20231,444

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Topics

Domain Adaptation and Few-Shot LearningComputer Science
Machine Learning and AlgorithmsComputer Science
Machine Learning and ELMComputer Science

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complete

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  • supports4 author record(s) attached.
  • supports61 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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