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
Cross-Domain Few-Shot Learning with Meta Fine-Tuning J. Cai S. Shen 26 29 0 21 May 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao Yang Hari Sundaram 24 64 0 21 May 2020
Multitask Learning with Single Gradient Step Update for Task Balancing Sungjae Lee Youngdoo Son 32 22 0 20 May 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption Hongyin Luo Shang-Wen Li James R. Glass BDL MedIm 23 9 0 19 May 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla 28 145 0 19 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning Jia-Fong Yeh Hsin-Ying Lee Bing-Chen Tsai Yi-Rong Chen Ping Huang Winston H. Hsu 21 14 0 19 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 43 124 0 14 May 2020
Memory-Augmented Relation Network for Few-Shot Learning J. He Richang Hong Xueliang Liu Mingliang Xu Zhengjun Zha Meng Wang 19 47 0 09 May 2020
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models Jayaraman J. Thiagarajan Bindya Venkatesh Rushil Anirudh P. Bremer J. Gaffney G. Anderson B. Spears 16 21 0 05 May 2020
MorphoCluster: Efficient Annotation of Plankton images by Clustering Simon-Martin Schroder R. Kiko Reinhard Koch 43 46 0 04 May 2020
One-Shot Image Classification by Learning to Restore Prototypes Wanqi Xue Wei Wang VLM 6 52 0 04 May 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 43 139 0 30 Apr 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 30 5 0 30 Apr 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 37 28 0 29 Apr 2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems Eseoghene Ben-Iwhiwhu Pawel Ladosz Jeffery Dick Wen‐Hua Chen Praveen K. Pilly Andrea Soltoggio 35 9 0 27 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations Jun Zhang Yao-Kun Lei Zhen Zhang Junhan Chang Maodong Li Xu Han Lijiang Yang Yuqing Yang Y. Gao AI4CE 37 8 0 25 Apr 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 34 403 0 23 Apr 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Wei-wei Zhu Haofu Liao Wenbin Li Weijian Li Jiebo Luo 44 17 0 21 Apr 2020
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning Hongcai Xu J. Bao Gaojie Zhang 22 8 0 19 Apr 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization Homanga Bharadhwaj Kevin Xie Florian Shkurti 19 49 0 19 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 19 35 0 17 Apr 2020
Balancing Training for Multilingual Neural Machine Translation Xinyi Wang Yulia Tsvetkov Graham Neubig 16 99 0 14 Apr 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 37 434 0 14 Apr 2020
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment Hancheng Zhu Leida Li Jinjian Wu W. Dong Guangming Shi 46 274 0 11 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 90 1,935 0 11 Apr 2020
Orthogonal Over-Parameterized Training Weiyang Liu Rongmei Lin Zhen Liu James M. Rehg Liam Paull Li Xiong Le Song Adrian Weller 32 41 0 09 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Da Li Timothy M. Hospedales 22 102 0 09 Apr 2020
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications G. Pang M. DÉlia M. Parks George Karniadakis PINN 20 151 0 08 Apr 2020
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation M. Moghaddam Qi Wu Ehsan Abbasnejad Javen Qinfeng Shi 20 4 0 07 Apr 2020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction Xu Han Tianyu Gao Yankai Lin Hao Peng Yaoliang Yang Chaojun Xiao Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 27 132 0 07 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 22 26 0 06 Apr 2020
Sequential Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 16 33 0 03 Apr 2020
Tracking by Instance Detection: A Meta-Learning Approach Guangting Wang Chong Luo Xiaoyan Sun Zhiwei Xiong Wenjun Zeng 26 148 0 02 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 34 496 0 02 Apr 2020
Editable Neural Networks A. Sinitsin Vsevolod Plokhotnyuk Dmitriy V. Pyrkin Sergei Popov Artem Babenko KELM 68 175 0 01 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 14 39 0 01 Apr 2020
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge Long Zhao Xi Peng Yuxiao Chen Mubbasir Kapadia Dimitris N. Metaxas 16 66 0 01 Apr 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 15 0 30 Mar 2020
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation Rongchang Xie Chunyu Wang Yizhou Wang 21 26 0 30 Mar 2020
Learning to Learn Single Domain Generalization Fengchun Qiao Long Zhao Xi Peng OOD 54 433 0 30 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yong Guo P. Zhao Junzhou Huang Mingkui Tan 15 27 0 29 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 33 20 0 29 Mar 2020
One-Shot GAN Generated Fake Face Detection Hadi Mansourifar W. Shi CVBM 19 10 0 27 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng-Wei Zhang Mingsheng Long Han Hu 31 318 0 26 Mar 2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context Wenyu Zhang Skyler Seto Devesh K. Jha 20 5 0 26 Mar 2020
Learning What to Learn for Video Object Segmentation Goutam Bhat Felix Järemo Lawin Martin Danelljan Andreas Robinson M. Felsberg Luc Van Gool Radu Timofte VOS 16 156 0 25 Mar 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective Muhammad Abdullah Jamal Matthew A. Brown Ming-Hsuan Yang Liqiang Wang Boqing Gong 37 261 0 24 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 34 120 0 24 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 658 0 23 Mar 2020
Weighted Meta-Learning Diana Cai Rishit Sheth Lester W. Mackey Nicolò Fusi 39 12 0 20 Mar 2020