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

9 March 2017

Pieter Abbeel

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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Title
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification Shunyu Jiang Fuli Feng Weijia Chen Xiang Li Xiangnan He 149 18 0 05 Mar 2021
Meta Learning Black-Box Population-Based Optimizers H. Gomes B. Léger Christian Gagné 168 13 0 05 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 272 1,044 0 03 Mar 2021
Real-World Single Image Super-Resolution: A Brief Review Honggang Chen Xiaohai He L. Qing Yuanyuan Wu Chao Ren Ce Zhu 126 273 0 03 Mar 2021
Learning Invariant Representations across Domains and Tasks Jindong Wang Wenjie Feng Chang-Shu Liu Chaohui Yu Min Du Renjun Xu Tao Qin Tie-Yan Liu OOD 88 4 0 03 Mar 2021
Meta-Learning with Variational Bayes Lucas Lingle BDL OOD 59 0 0 03 Mar 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation Runzhe Zhan Xuebo Liu Derek F. Wong Lidia S. Chao 86 46 0 03 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 117 77 0 03 Mar 2021
Task Aligned Generative Meta-learning for Zero-shot Learning Zhe Liu Yun Yvonna Li Lina Yao Xianzhi Wang Guodong Long VLM 73 37 0 03 Mar 2021
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions Michael O'Connell Guanya Shi Xichen Shi Soon-Jo Chung 114 22 0 02 Mar 2021
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing Zhengjue Wang Hao Zhang Ziheng Cheng Bo Chen Xin Yuan 69 53 0 02 Mar 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 124 36 0 02 Mar 2021
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization Bingyan Liu Yao Guo Xiangqun Chen FedML 76 87 0 02 Mar 2021
Few-shot Open-set Recognition by Transformation Consistency Minki Jeong Seokeon Choi Changick Kim 110 52 0 02 Mar 2021
Task-Adaptive Neural Network Search with Meta-Contrastive Learning Wonyong Jeong Hayeon Lee G. Park Eunyoung Hyung Jinheon Baek Sung Ju Hwang 95 10 0 02 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 307 1,241 0 02 Mar 2021
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 92 32 0 02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 159 114 0 01 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection Aming Wu Yahong Han Linchao Zhu Yi Yang ObjD 100 87 0 01 Mar 2021
Few-Shot Lifelong Learning Pratik Mazumder Pravendra Singh Piyush Rai CLL 84 122 0 01 Mar 2021
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim OOD SSL 85 8 0 01 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 354 888 0 01 Mar 2021
Meta-learning representations for clustering with infinite Gaussian mixture models Tomoharu Iwata 51 5 0 01 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection Tomoharu Iwata Atsutoshi Kumagai 51 2 0 01 Mar 2021
Neuron Coverage-Guided Domain Generalization Chris Xing Tian Haoliang Li Xiaofei Xie Yang Liu Shiqi Wang 93 38 0 27 Feb 2021
Meta-Learning with Graph Neural Networks: Methods and Applications Debmalya Mandal Sourav Medya Brian Uzzi Charu C. Aggarwal AI4CE 108 22 0 27 Feb 2021
A Regret Minimization Approach to Iterative Learning Control Naman Agarwal Elad Hazan Anirudha Majumdar Karan Singh 75 14 0 26 Feb 2021
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning Anthony Sicilia Xingchen Zhao D. Minhas Erin O'Connor H. Aizenstein W. Klunk D. Tudorascu Seong Jae Hwang 59 6 0 25 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 159 79 0 25 Feb 2021
Information Directed Reward Learning for Reinforcement Learning David Lindner M. Turchetta Sebastian Tschiatschek K. Ciosek Andreas Krause OffRL 73 18 0 24 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 85 26 0 24 Feb 2021
Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning Gordon Buck Andreas Vlachos 66 1 0 24 Feb 2021
Enabling the Network to Surf the Internet Zhuoling Li Haohan Wang Tymoteusz Świstek Weixin Chen Yuanzheng Li Haoqian Wang CLL 124 4 0 24 Feb 2021
Dual-Awareness Attention for Few-Shot Object Detection Tung-I Chen Yueh-Cheng Liu Hung-Ting Su Yu-Cheng Chang Yu-Hsiang Lin Jia-Fong Yeh Wen-Chin Chen Winston H. Hsu ObjD 118 100 0 24 Feb 2021
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning Vinay Kumar Verma Kevin J. Liang Nikhil Mehta Lawrence Carin CLL VLM 95 5 0 23 Feb 2021
Identifying Physical Law of Hamiltonian Systems via Meta-Learning Seungjun Lee Haesang Yang W. Seong 61 13 0 23 Feb 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 163 13 0 23 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 157 132 0 23 Feb 2021
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models Jan Achterhold Joerg Stueckler 83 7 0 22 Feb 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning Kaize Ding Qinghai Zhou Hanghang Tong Huan Liu 186 128 0 22 Feb 2021
Domain Adaptation in Dialogue Systems using Transfer and Meta-Learning Rui Ribeiro A. Abad J. Lopes OffRL 37 1 0 22 Feb 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 131 12 0 22 Feb 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 175 323 0 22 Feb 2021
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation Tao Chen G. Xie Yazhou Yao Qiong Wang Fumin Shen Zhenmin Tang Jian Zhang VLM 60 44 0 22 Feb 2021
Provably Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning Lanqing Li Yuanhao Huang Mingzhe Chen Siteng Luo Dijun Luo Junzhou Huang OffRL 34 3 0 22 Feb 2021
MetaDelta: A Meta-Learning System for Few-shot Image Classification Yudong Chen Chaoyu Guan Zhikun Wei Xin Eric Wang Wenwu Zhu VLM 59 18 0 22 Feb 2021
Abstraction and Analogy-Making in Artificial Intelligence Melanie Mitchell 97 168 0 22 Feb 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 138 9 0 21 Feb 2021
Learning Compositional Representation for Few-shot Visual Question Answering Dalu Guo Dacheng Tao OOD CoGe 69 4 0 21 Feb 2021
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning Bleema Rosenfeld Bipin Rajendran Osvaldo Simeone OffRL 99 9 0 21 Feb 2021