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How to train your MAML

22 October 2018

Antreas Antoniou

Harrison Edwards

Amos Storkey

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Papers citing "How to train your MAML"

48 / 398 papers shown

Title
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 494 638 0 19 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 203 51 0 18 Feb 2020
Task-Robust Model-Agnostic Meta-Learning Liam Collins Aryan Mokhtari Sanjay Shakkottai OOD 156 13 0 12 Feb 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot LearningComputer Vision and Pattern Recognition (CVPR), 2020 Hongguang Zhang Piotr Koniusz Songlei Jian Hongdong Li Juil Sock SSL 206 70 0 12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention Hongguang Zhang Li Zhang Xiaojuan Qi Hongdong Li Juil Sock Piotr Koniusz 90 3 0 12 Jan 2020
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformerAsian Conference on Computer Vision (ACCV), 2020 Hongguang Zhang Juil Sock Piotr Koniusz ViT 210 5 0 06 Jan 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 147 70 0 20 Dec 2019
Meta-Learning Initializations for Image Segmentation S. Hendryx Andrew B. Leach P. Hein Clayton T. Morrison VLM 170 26 0 13 Dec 2019
[Re] Learning to Learn By Self-Critique Isac Arnekvist Dmytro Kalpakchi 80 0 0 30 Nov 2019
VIABLE: Fast Adaptation via Backpropagating Learned Loss Leo Feng L. Zintgraf Bei Peng Shimon Whiteson 99 1 0 29 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2019 T. Elsken B. Staffler J. H. Metzen Katharina Eggensperger 290 156 0 25 Nov 2019
Learning to Few-Shot Learn Across Diverse Natural Language Classification TasksInternational Conference on Computational Linguistics (COLING), 2019 Trapit Bansal Rishikesh Jha Andrew McCallum SSL 232 126 0 10 Nov 2019
Speaker Adaptive Training using Model Agnostic Meta-LearningAutomatic Speech Recognition & Understanding (ASRU), 2019 Ondˇrej Klejch Joachim Fainberg P. Bell Steve Renals 154 33 0 23 Oct 2019
No-regret Non-convex Online Meta-LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Zhenxun Zhuang Yunlong Wang Kezi Yu Songtao Lu CLL OffRL 226 15 0 22 Oct 2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating Xin Yao Tianchi Huang Ruixiao Zhang Ruiyu Li Lifeng Sun FedML 225 75 0 18 Oct 2019
Meta-learning for fast classifier adaptation to new users of Signature Verification systemsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019 L. G. Hafemann R. Sabourin Luiz Eduardo Soares de Oliveira AAML 139 33 0 17 Oct 2019
Model-Agnostic Meta-Learning using Runge-Kutta Methods Daniel Jiwoong Im Yibo Jiang Nakul Verma 135 4 0 16 Oct 2019
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey BDL 176 20 0 11 Oct 2019
Semi Few-Shot Attribute TranslationImage and Vision Computing New Zealand (IVCNZ), 2019 Ricard Durall Franz-Josef Pfreundt J. Keuper GAN VLM 119 3 0 08 Oct 2019
Meta-Learning Deep Energy-Based Memory ModelsInternational Conference on Learning Representations (ICLR), 2019 Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 298 35 0 07 Oct 2019
Meta-Transfer Learning through Hard TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 169 118 0 07 Oct 2019
Generalized Inner Loop Meta-Learning Jaya Kumar Alageshan Brandon Amos A. Verma Phu Mon Htut Artem Molchanov Franziska Meier Douwe Kiela Dong Wang Soumith Chintala AI4CE 166 162 0 03 Oct 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 280 657 0 27 Sep 2019
ES-MAML: Simple Hessian-Free Meta LearningInternational Conference on Learning Representations (ICLR), 2019 Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 391 124 0 25 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAMLInternational Conference on Learning Representations (ICLR), 2019 Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 486 706 0 19 Sep 2019
Meta Reinforcement Learning for Sim-to-real Domain AdaptationIEEE International Conference on Robotics and Automation (ICRA), 2019 Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 229 115 0 16 Sep 2019
Modular Meta-Learning with ShrinkageNeural Information Processing Systems (NeurIPS), 2019 Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 198 35 0 12 Sep 2019
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-LearningAAAI Conference on Artificial Intelligence (AAAI), 2019 Yibo Sun Duyu Tang Nan Duan Yeyun Gong Xiaocheng Feng Bing Qin Daxin Jiang NAI MedIm 134 25 0 12 Sep 2019
Meta-Learning with Warped Gradient DescentInternational Conference on Learning Representations (ICLR), 2019 Sebastian Flennerhag Andrei A. Rusu Razvan Pascanu Francesco Visin Hujun Yin R. Hadsell 349 220 0 30 Aug 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning AlgorithmsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 367 246 0 27 Aug 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and PromisesAdvances in Intelligent Systems and Computing (AISC), 2019 F. Mohammadi M. Amini H. Arabnia OffRL 123 24 0 26 Aug 2019
Few-shot Text Classification with Distributional SignaturesInternational Conference on Learning Representations (ICLR), 2019 Yujia Bao Menghua Wu Shiyu Chang Regina Barzilay 264 179 0 16 Aug 2019
Relational Generalized Few-Shot LearningBritish Machine Vision Conference (BMVC), 2019 Xiahan Shi Leonard Salewski Martin Schiegg Zeynep Akata Max Welling 155 27 0 22 Jul 2019
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Huseyin Coskun Zeeshan Zia Bugra Tekin Federica Bogo Nassir Navab Federico Tombari H. Sawhney 155 28 0 22 Jul 2019
Learning to Forget for Meta-LearningComputer Vision and Pattern Recognition (CVPR), 2019 Sungyong Baik Seokil Hong Kyoung Mu Lee CLL KELM 128 103 0 13 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot LearningInternational Journal of Computer Vision (IJCV), 2019 Han-Jia Ye Hexiang Hu De-Chuan Zhan 217 63 0 07 Jun 2019
Learning to Self-Train for Semi-Supervised Few-Shot ClassificationNeural Information Processing Systems (NeurIPS), 2019 Xinzhe Li Qianru Sun Yaoyao Liu Shibao Zheng Qin Zhou Tat-Seng Chua Bernt Schiele SSL 177 295 0 03 Jun 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 206 17 0 24 May 2019
Alpha MAML: Adaptive Model-Agnostic Meta-Learning Harkirat Singh Behl A. G. Baydin Juil Sock 148 70 0 17 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 306 134 0 17 Apr 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 438 665 0 07 Mar 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Antreas Antoniou Amos Storkey SSL 267 77 0 26 Feb 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 225 288 0 22 Feb 2019
Meta-CurvatureNeural Information Processing Systems (NeurIPS), 2019 Eunbyung Park Junier B. Oliva BDL 341 132 0 09 Feb 2019
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning Yunxiao Qin Weiguo Zhang Chenxu Zhao Zezheng Wang Xiangyu Zhu Guojun Qi Jingping Shi Zhen Lei 214 29 0 11 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 349 763 0 10 Dec 2018
Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem Jingyu Sun Sarah Parisot Fengwei Zhou Xingzhi Zhang A. Leonardis Zhenguo Li Greg Slabaugh 71 8 0 28 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 1.6K 13,334 0 09 Mar 2017