Who Cited It

Prototypical Networks for Few-shot Learning

2017 · arXiv (Cornell University) · 5,204 citations · 9 from inside this corpus

Jake Snell low, Kevin Swersky low, Richard S. Zemel

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.

Prototypical Networks for Few-shot Learning (2017)Prototypical Networks for Few…Advances and Open Problems in Federated Learning (2020)Advances and Open Problems in…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu… (2022)Pre-train, Prompt, and Predic…Unsupervised Feature Learning via Non-parametric Instance Discrimination (2018)Unsupervised Feature Learning…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…Relational Knowledge Distillation (2019)Relational Knowledge Distilla…Automated Machine Learning (2019)Automated Machine LearningPANet: Few-Shot Image Semantic Segmentation With Prototype Alignment (2019)PANet: Few-Shot Image Semanti…
9 of 9 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What cites it, inside the corpus

PaperYearCited
Advances and Open Problems in Federated Learning20205,383
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]4,858
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…20223,836
Unsupervised Feature Learning via Non-parametric Instance Discrimination20183,640
Generalizing from a Few Examples20202,761
On the Opportunities and Risks of Foundation Models20212,265
Relational Knowledge Distillation20191,669
Automated Machine Learning20191,451
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment20191,431

Links

DOI · Open access copy · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports3 author record(s) attached.
  • weakensNo references are recorded despite 5,204 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…