Who Cited It

[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]

n.d. · Edinburgh Research Explorer (University of Edinburgh) · 4,858 citations · 3 from inside this corpus

Flood Sung low, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales

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.

[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (2017)Model-Agnostic Meta-Learning …Prototypical Networks for Few-shot Learning (2017)Prototypical Networks for Few…Siamese Neural Networks for One-shot Image Recognition (2015)Siamese Neural Networks for O…One-shot learning of object categories (2006)One-shot learning of object c…Optimization as a Model for Few-Shot Learning (2017)Optimization as a Model for F…DeViSE: A Deep Visual-Semantic Embedding Model (2013)DeViSE: A Deep Visual-Semanti…Attribute-Based Classification for Zero-Shot Visual Object Categorization (2013)Attribute-Based Classificatio…Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly (2018)Zero-Shot Learning—A Comprehe…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…PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment (2019)PANet: Few-Shot Image Semanti…
14 of 14 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 this paper cites, inside the corpus

What cites it, inside the corpus

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Multimodal Machine Learning ApplicationsComputer Science
Cancer-related molecular mechanisms researchBiochemistry, Genetics and Molecular Biology

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.

  • supports6 author record(s) attached.
  • supports52 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • weakensThe source record carries no title.

Provenance

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

sha256 648f8491aaceaa34…