Who Cited It

Optimization as a Model for Few-Shot Learning

2017 · International Conference on Learning Representations · 2,436 citations · 6 from inside this corpus

Sachin Ravi low, Hugo Larochelle

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.

Optimization as a Model for Few-Shot Learning (2017)Optimization as a Model for F…Long Short-Term Memory (1997)Long Short-Term Memory[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… (2024)Batch Normalization: Accelera…Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr… (2016)Google's Neural Machine Trans…ADADELTA: An Adaptive Learning Rate Method (2012)ADADELTA: An Adaptive Learnin…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…Siamese Neural Networks for One-shot Image Recognition (2015)Siamese Neural Networks for O…An Empirical Exploration of Recurrent Network Architectures (2015)An Empirical Exploration of R…Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (2017)Model-Agnostic Meta-Learning …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…Language Models are Few-Shot Learners (2020)Language Models are Few-Shot …Automated Machine Learning (2019)Automated Machine LearningPANet: Few-Shot Image Semantic Segmentation With Prototype Alignment (2019)PANet: Few-Shot Image Semanti…
15 of 15 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

PaperYearCited
Long Short-Term Memory1997101,359
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…202415,663
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…20165,668
ADADELTA: An Adaptive Learning Rate Method20125,532
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
Siamese Neural Networks for One-shot Image Recognition20153,253
An Empirical Exploration of Recurrent Network Architectures20151,406

What cites it, inside the corpus

PaperYearCited
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks20175,794
Advances and Open Problems in Federated Learning20205,383
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]4,858
Language Models are Few-Shot Learners20203,020
Automated Machine Learning20191,451
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment20191,431

Links

OpenAlex record

Topics

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

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports20 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 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…