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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
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 50 6 0 26 Jun 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 108 27 0 26 Jun 2019
Learning to Interactively Learn and Assist Mark P. Woodward Chelsea Finn Karol Hausman 103 33 0 24 Jun 2019
Training an Interactive Helper Mark P. Woodward Chelsea Finn Karol Hausman 46 1 0 24 Jun 2019
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units Prathamesh Deshpande Sunita Sarawagi AI4TS AI4CE 62 12 0 24 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 76 244 0 18 Jun 2019
Better transfer learning with inferred successor maps T. Madarász 87 22 0 18 Jun 2019
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing Daya Guo Duyu Tang Nan Duan M. Zhou Jian Yin RALM 50 49 0 17 Jun 2019
Boosting Supervision with Self-Supervision for Few-shot Learning Jong-Chyi Su Subhransu Maji B. Hariharan SSL AI4MH 63 19 0 17 Jun 2019
A Survey of Optimization Methods from a Machine Learning Perspective Shiliang Sun Zehui Cao Han Zhu Jing Zhao 88 566 0 17 Jun 2019
Meta-learning Pseudo-differential Operators with Deep Neural Networks Jordi Feliu-Fabà Yuwei Fan Lexing Ying 64 40 0 16 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification Zhiquan Ye Zhenhua Ling 84 136 0 16 Jun 2019
Learning to Forget for Meta-Learning Sungyong Baik Seokil Hong Kyoung Mu Lee CLL KELM 75 89 0 13 Jun 2019
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning Zhengxiao Du Chang Zhou Ming Ding Hongxia Yang Jie Tang ReLM LRM 67 24 0 13 Jun 2019
Compositional generalization through meta sequence-to-sequence learning Brenden M. Lake CoGe 115 199 0 12 Jun 2019
Meta-Learning via Learned Loss Sarah Bechtle Artem Molchanov Yevgen Chebotar Edward Grefenstette Ludovic Righetti Gaurav Sukhatme Franziska Meier 71 112 0 12 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 147 248 0 12 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 60 94 0 12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 103 405 0 12 Jun 2019
Regularizing Neural Networks via Minimizing Hyperspherical Energy Rongmei Lin Weiyang Liu Zhen Liu Chen Feng Zhiding Yu James M. Rehg Li Xiong Le Song 105 39 0 12 Jun 2019
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition Ping Hu Ximeng Sun Kate Saenko Stan Sclaroff OCL CoGe 75 25 0 11 Jun 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 92 191 0 11 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 67 242 0 11 Jun 2019
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation Kowshik Thopalli Jayaraman J. Thiagarajan Rushil Anirudh Pavan Turaga 33 2 0 11 Jun 2019
Human-Machine Collaboration for Fast Land Cover Mapping Caleb Robinson Anthony Ortiz Kolya Malkin Blake Elias Andi Peng Dan Morris B. Dilkina Nebojsa Jojic 70 20 0 10 Jun 2019
Few-Shot Learning with Per-Sample Rich Supervision Roman Visotsky Yuval Atzmon Gal Chechik 51 7 0 10 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning Chenyang Si Wentao Chen Wei Wang Liang Wang Tieniu Tan VLM 37 1 0 10 Jun 2019
Out-of-Vocabulary Embedding Imputation with Grounded Language Information by Graph Convolutional Networks Ziyi Yang Chenguang Zhu Vin Sachidananda Eric F. Darve 55 4 0 10 Jun 2019
Reducing the variance in online optimization by transporting past gradients Sébastien M. R. Arnold Pierre-Antoine Manzagol Reza Babanezhad Ioannis Mitliagkas Nicolas Le Roux 84 28 0 08 Jun 2019
Domain Adaptive Dialog Generation via Meta Learning Kun Qian Zhou Yu VLM OffRL 85 130 0 08 Jun 2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward Allan Zhou Eric Jang Daniel Kappler Alexander Herzog Mohi Khansari Paul Wohlhart Yunfei Bai Mrinal Kalakrishnan Sergey Levine Chelsea Finn 85 49 0 07 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 104 59 0 07 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 134 356 0 06 Jun 2019
Query-efficient Meta Attack to Deep Neural Networks Jiawei Du Hu Zhang Qiufeng Wang Yi Yang Jiashi Feng AAML 66 84 0 06 Jun 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 117 106 0 05 Jun 2019
Discriminative Few-Shot Learning Based on Directional Statistics Junyoung Park Subin Yi Yongseok Choi D.-Y. Cho Jiwon Kim 18 4 0 05 Jun 2019
Lifelong Learning with a Changing Action Set Yash Chandak Georgios Theocharous Chris Nota Philip S. Thomas CLL OffRL 77 31 0 05 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 213 1,283 0 04 Jun 2019
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization Ikuro Sato Kohta Ishikawa Guoqing Liu Masayuki Tanaka 35 7 0 04 Jun 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification Xinzhe Li Qianru Sun Yaoyao Liu Shibao Zheng Qin Zhou Tat-Seng Chua Bernt Schiele SSL 78 272 0 03 Jun 2019
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies Ronen Basri David Jacobs Yoni Kasten S. Kritchman 91 218 0 02 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 98 119 0 02 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 66 7 0 02 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition Liuyu Xiang Xiaoming Jin Guiguang Ding Jungong Han Leida Li CLL 48 30 0 02 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 105 8 0 01 Jun 2019
Reinforcement Learning Experience Reuse with Policy Residual Representation Wen-Ji Zhou Yang Yu Yingfeng Chen Kai Guan Tangjie Lv Changjie Fan Zhi Zhou OffRL 19 2 0 31 May 2019
Regression Networks for Meta-Learning Few-Shot Classification A. Devos Matthias Grossglauser 64 12 0 31 May 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 169 348 0 30 May 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 83 16 0 30 May 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 99 108 0 30 May 2019