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
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 33 10 0 02 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie Zhiding Yu Lei Mao Ankit B. Patel Yuke Zhu Anima Anandkumar VLM LRM 26 75 0 02 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 37 6 0 01 Oct 2020
Understanding Human Intelligence through Human Limitations Thomas Griffiths 28 64 0 29 Sep 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning Haotian Fu Hongyao Tang Jianye Hao Cen Chen Xidong Feng Dong Li Wulong Liu OffRL 35 51 0 29 Sep 2020
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems Andrea Madotto Samuel Cahyawijaya Genta Indra Winata Yan Xu Zihan Liu Zhaojiang Lin Pascale Fung 36 59 0 28 Sep 2020
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning Yaohua Liu Risheng Liu 25 10 0 28 Sep 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 26 225 0 28 Sep 2020
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images Zixuan Xiao Wei Xue P. Zhong 33 32 0 26 Sep 2020
A Meta-learning based Distribution System Load Forecasting Model Selection Framework Yiyan Li Si Zhang R. Hu N. Lu 21 22 0 25 Sep 2020
Attribute Propagation Network for Graph Zero-shot Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang VLM 27 75 0 24 Sep 2020
Fair Meta-Learning For Few-Shot Classification Chengli Zhao Changbin Li Jincheng Li Feng Chen FaML 21 26 0 23 Sep 2020
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves Luke Metz Niru Maheswaranathan C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 33 62 0 23 Sep 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition Tianshui Chen Liang Lin Riquan Chen X. Hui Hefeng Wu 21 153 0 20 Sep 2020
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee Heon Song D. Suehiro S. Uchida VOT 22 2 0 19 Sep 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 36 21 0 19 Sep 2020
Variational Disentanglement for Rare Event Modeling Zidi Xiu Chenyang Tao M. Gao Connor Davis B. Goldstein Ricardo Henao CML DRL 32 6 0 17 Sep 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Tsendsuren Munkhdalai Andrew McCallum SSL VLM 30 87 0 17 Sep 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 62 158 0 17 Sep 2020
Efficient Quantum State Sample Tomography with Basis-dependent Neural-networks Alistair W. R. Smith Johnnie Gray M. S. Kim 19 28 0 16 Sep 2020
Augmented Natural Language for Generative Sequence Labeling Ben Athiwaratkun Cicero Nogueira dos Santos Jason Krone Bing Xiang VLM 19 61 0 15 Sep 2020
SML: Semantic Meta-learning for Few-shot Semantic Segmentation Ayyappa Kumar Pambala Titir Dutta Soma Biswas 24 22 0 14 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 42 117 0 11 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 32 101 0 08 Sep 2020
Information Theoretic Meta Learning with Gaussian Processes Michalis K. Titsias Francisco J. R. Ruiz Sotirios Nikoloutsopoulos Alexandre Galashov FedML 31 15 0 07 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Yifan Jiang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 21 215 0 04 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma L. Chen Junhai Yong MLAU OOD 41 17 0 02 Sep 2020
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee Junyi Li Bin Gu Heng-Chiao Huang 21 41 0 01 Sep 2020
Few-Shot Object Detection via Knowledge Transfer Geonuk Kim Hong G Jung Seong-Whan Lee ObjD 32 27 0 28 Aug 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 34 95 0 27 Aug 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 37 0 0 26 Aug 2020
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 48 81 0 25 Aug 2020
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling T. Lew Marco Pavone AAML 30 53 0 24 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 29 22 0 18 Aug 2020
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection M. Husseini Anjany Sekuboyina Maximilian Loeffler Fernando Navarro Bjoern H. Menze Jan S. Kirschke 17 21 0 18 Aug 2020
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging Pulkit Khandelwal Paul Yushkevich OOD 24 37 0 18 Aug 2020
PointMixup: Augmentation for Point Clouds Yunlu Chen Vincent Tao Hu E. Gavves Thomas Mensink Pascal Mettes Pengwan Yang Cees G. M. Snoek 3DPC 30 154 0 14 Aug 2020
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation Xianghui Yang Bairun Wang Kaige Chen Xinchi Zhou Shuai Yi Wanli Ouyang Luping Zhou 13 48 0 14 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 38 104 0 13 Aug 2020
Network Architecture Search for Domain Adaptation Yichen Li Xingchao Peng OOD 24 15 0 13 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning Zeyuan Wang Yifan Zhao Jia Li Yonghong Tian 18 35 0 10 Aug 2020
Meta Feature Modulator for Long-tailed Recognition Renzhen Wang Kaiqin Hu Yanwen Zhu Jun Shu Qian Zhao Deyu Meng 16 12 0 08 Aug 2020
Meta Continual Learning via Dynamic Programming R. Krishnan Prasanna Balaprakash CLL 22 10 0 05 Aug 2020
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning Jin Wang Jia Hu Geyong Min Albert Y. Zomaya N. Georgalas OffRL 22 253 0 05 Aug 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 38 125 0 05 Aug 2020
When is invariance useful in an Out-of-Distribution Generalization problem ? Masanori Koyama Shoichiro Yamaguchi OOD 34 65 0 04 Aug 2020
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation Atmadeep Banerjee SSeg VLM 12 5 0 01 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection Tianming Wang Wenjie Lu H. Yu Dikai Liu 41 1 0 29 Jul 2020
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference Zhi Wang Chunlin Chen D. Dong CLL OffRL 15 56 0 28 Jul 2020