Who Cited It

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

2017 · arXiv (Cornell University) · 5,794 citations · 7 from inside this corpus

Chelsea Finn, Pieter Abbeel, Sergey Levine

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.

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (2017)Model-Agnostic Meta-Learning …[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…Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…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…Trust Region Policy Optimization (2015)Trust Region Policy Optimizat…Optimization as a Model for Few-Shot Learning (2017)Optimization as a Model for F…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…Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Shortcut learning in deep neural networks (2020)Shortcut learning in deep neu…Automated Machine Learning (2019)Automated Machine LearningPANet: 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

PaperYearCited
[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…201524,404
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
Siamese Neural Networks for One-shot Image Recognition20153,253
Trust Region Policy Optimization20153,129
Optimization as a Model for Few-Shot Learning20172,436

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
Relational inductive biases, deep learning, and graph networks20182,406
On the Opportunities and Risks of Foundation Models20212,265
Shortcut learning in deep neural networks20202,040
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
Advanced Neural Network ApplicationsComputer Science
Multimodal Machine Learning ApplicationsComputer Science

Is this record sound?

complete

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

  • supports3 author record(s) attached.
  • supports32 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 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…