On First-Order Meta-Learning Algorithms

8 March 2018

Papers citing "On First-Order Meta-Learning Algorithms"

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Title
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian 24 182 0 05 Oct 2019
Generalized Inner Loop Meta-Learning Jaya Kumar Alageshan Brandon Amos A. Verma Phu Mon Htut Artem Molchanov Franziska Meier Douwe Kiela Kyunghyun Cho Soumith Chintala AI4CE 17 159 0 03 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 17 145 0 30 Sep 2019
Chameleon: Learning Model Initializations Across Tasks With Different Schemas L. Brinkmeyer Rafael Rêgo Drumond Randolf Scholz Josif Grabocka Lars Schmidt-Thieme CLL 11 8 0 30 Sep 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 17 586 0 27 Sep 2019
Decoder Choice Network for Meta-Learning Jialin Liu Rongrong Ji Longzhi Yang Chih-Min Lin Q. Shen 21 9 0 25 Sep 2019
Multi-task Batch Reinforcement Learning with Metric Learning Jiachen Li Q. Vuong Shuang Liu Minghua Liu K. Ciosek Keith Ross Henrik I. Christensen H. Su OffRL 13 2 0 25 Sep 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion Zihao Wang K. Lai Piji Li Lidong Bing W. Lam 19 32 0 25 Sep 2019
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization Tomaso Fontanini Eleonora Iotti Andrea Prati GAN 39 4 0 17 Sep 2019
Meta-Learning for Few-Shot Time Series Classification Jyoti Narwariya Pankaj Malhotra L. Vig Gautam M. Shroff T. Vishnu 73 59 0 13 Sep 2019
Differentially Private Meta-Learning Jeffrey Li M. Khodak S. Caldas Ameet Talwalkar FedML 30 106 0 12 Sep 2019
Modular Meta-Learning with Shrinkage Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 15 35 0 12 Sep 2019
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators Yongseok Choi Junyoung Park Subin Yi D.-Y. Cho OOD 19 0 0 11 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 17 843 0 10 Sep 2019
Meta-learnt priors slow down catastrophic forgetting in neural networks G. Spigler CLL 17 10 0 09 Sep 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 25 575 0 06 Sep 2019
Efficient Automatic Meta Optimization Search for Few-Shot Learning Xinyue Zheng Peng Wang Qigang Wang Zhongchao Shi Feiyu Xu 11 0 0 06 Sep 2019
Meta Learning with Relational Information for Short Sequences Yujia Xie Haoming Jiang Feng Liu T. Zhao H. Zha 14 14 0 04 Sep 2019
Meta-Learning with Warped Gradient Descent Sebastian Flennerhag Andrei A. Rusu Razvan Pascanu Francesco Visin Hujun Yin R. Hadsell 8 209 0 30 Aug 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks Zi-Yi Dou Keyi Yu Antonios Anastasopoulos 8 126 0 27 Aug 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 20 226 0 27 Aug 2019
Learning Continually from Low-shot Data Stream Canyu Le Xihan Wei Biao Wang L. Zhang Zhonggui Chen CLL 6 3 0 27 Aug 2019
Few-Shot Learning with Global Class Representations Tiange Luo Aoxue Li Tao Xiang Weiran Huang Liwei Wang 16 114 0 14 Aug 2019
Meta Reasoning over Knowledge Graphs Hong Wang Wenhan Xiong Mo Yu Xiaoxiao Guo Shiyu Chang William Yang Wang ReLM LRM 34 8 0 13 Aug 2019
Optimizing quantum heuristics with meta-learning M. Wilson Rachel Stromswold Filip Wudarski Stuart Hadfield N. Tubman E. Rieffel 9 74 0 08 Aug 2019
Continual Learning via Online Leverage Score Sampling D. Teng Sakyasingha Dasgupta CLL 8 5 0 01 Aug 2019
Few-Shot Meta-Denoising Leslie Casas Attila Klimmek G. Carneiro Nassir Navab Vasileios Belagiannis 13 5 0 31 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 37 968 0 23 Jul 2019
Relational Generalized Few-Shot Learning Xiahan Shi Leonard Salewski Martin Schiegg Zeynep Akata Max Welling 14 24 0 22 Jul 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 31 718 0 19 Jul 2019
Towards Understanding Generalization in Gradient-Based Meta-Learning Simon Guiroy Vikas Verma C. Pal 15 21 0 16 Jul 2019
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges N. Arivazhagan Ankur Bapna Orhan Firat Dmitry Lepikhin Melvin Johnson ... George F. Foster Colin Cherry Wolfgang Macherey Z. Chen Yonghui Wu 23 423 0 11 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 27 355 0 06 Jul 2019
Learning to Forget for Meta-Learning Sungyong Baik Seokil Hong Kyoung Mu Lee CLL KELM 14 87 0 13 Jun 2019
Task Agnostic Continual Learning via Meta Learning Xu He Jakub Sygnowski Alexandre Galashov Andrei A. Rusu Yee Whye Teh Razvan Pascanu OOD CLL FedML 11 94 0 12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 22 400 0 12 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 19 59 0 07 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 27 353 0 06 Jun 2019
Query-efficient Meta Attack to Deep Neural Networks Jiawei Du Hu Zhang Qiufeng Wang Yi Yang Jiashi Feng AAML 11 84 0 06 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 20 115 0 02 Jun 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks Haebeom Lee Hayeon Lee Donghyun Na Saehoon Kim Minseop Park Eunho Yang Sung Ju Hwang BDL OODD 14 106 0 30 May 2019
Meta Dropout: Learning to Perturb Features for Generalization Haebeom Lee Taewook Nam Eunho Yang Sung Ju Hwang OOD 6 3 0 30 May 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Hongyang Li David Eigen Samuel F. Dodge Matthew D. Zeiler Xiaogang Wang VLM 22 339 0 27 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 23 17 0 24 May 2019
Knowledge Transferring via Model Aggregation for Online Social Care Shaoxiong Ji Guodong Long Shirui Pan Tianqing Zhu Jing Jiang Sen Wang Xue Li 12 0 0 19 May 2019
Few-Shot Viewpoint Estimation Hung-Yu Tseng Shalini De Mello Jonathan Tremblay Sifei Liu Stan Birchfield Ming-Hsuan Yang Jan Kautz 3DPC 15 16 0 13 May 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 22 96 0 08 May 2019
Few-Shot Adaptive Gaze Estimation Seonwook Park Shalini De Mello Pavlo Molchanov Umar Iqbal Otmar Hilliges Jan Kautz 27 193 0 06 May 2019
Few-Shot Unsupervised Image-to-Image Translation Ming-Yu Liu Xun Huang Arun Mallya Tero Karras Timo Aila J. Lehtinen Jan Kautz 11 607 0 05 May 2019