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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
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 100 851 0 16 Nov 2018
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks Jing Shi Jiaming Xu Yiqun Yao Bo Xu 73 24 0 15 Nov 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 157 1,407 0 15 Nov 2018
Diversity-Driven Extensible Hierarchical Reinforcement Learning Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Mai Xu 69 18 0 10 Nov 2018
Power Normalizing Second-order Similarity Network for Few-shot Learning Hongguang Zhang Piotr Koniusz 75 59 0 10 Nov 2018
Multimodal One-Shot Learning of Speech and Images Ryan Eloff H. Engelbrecht Herman Kamper SSL VLM 59 35 0 09 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning Xi Chen Ali Ghadirzadeh Mårten Björkman Pablo G. Cámara OffRL 71 56 0 08 Nov 2018
Concept Learning with Energy-Based Models William J. Wilkinson 161 26 0 06 Nov 2018
Learning Shared Dynamics with Meta-World Models Lisheng Wu Minne Li Jun Wang 32 0 0 05 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 108 22 0 03 Nov 2018
Towards learning-to-learn B. Lansdell Konrad Paul Kording 43 19 0 01 Nov 2018
Automated Machine Learning: From Principles to Practices Quanming Yao Mengshuo Wang Hugo Jair Escalante Huan Zhao Qiang Yang 121 259 0 31 Oct 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun Basel Alomair OffRL 126 239 0 29 Oct 2018
Learning to Teach with Dynamic Loss Functions Lijun Wu Fei Tian Yingce Xia Yang Fan Tao Qin Jianhuang Lai Tie-Yan Liu 78 112 0 29 Oct 2018
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference Matthew D Riemer Ignacio Cases R. Ajemian Miao Liu Irina Rish Y. Tu Gerald Tesauro CLL 109 792 0 29 Oct 2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks Hang Gao Zheng Shou Alireza Zareian Hanwang Zhang Shih-Fu Chang GAN 95 137 0 27 Oct 2018
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints Andrew Hundt Varun Jain Chia-Hung Lin Chris Paxton Gregory Hager 83 12 0 27 Oct 2018
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks Tianhe Yu Pieter Abbeel Sergey Levine Chelsea Finn 70 68 0 25 Oct 2018
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning Pramod Kaushik Mudrakarta Mark Sandler A. Zhmoginov Andrew G. Howard 82 69 0 25 Oct 2018
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 121 266 0 25 Oct 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation Xu Han Hao Zhu Pengfei Yu Ziyun Wang Yuan Yao Zhiyuan Liu Maosong Sun SLR 97 616 0 24 Oct 2018
Meta-Learning Multi-task Communication Pengfei Liu Xuanjing Huang FedML 77 8 0 23 Oct 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 97 780 0 22 Oct 2018
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation Xiaolin Zhang Yunchao Wei Yi Yang Thomas Huang VLM 71 466 0 22 Oct 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Zhiwu Lu Jiechao Guan Aoxue Li Tao Xiang An Zhao Ji-Rong Wen 73 64 0 19 Oct 2018
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning Aoxue Li Zhiwu Lu Jiechao Guan Tao Xiang Liwei Wang Ji-Rong Wen VLM 65 20 0 19 Oct 2018
AutoGraph: Imperative-style Coding with Graph-based Performance D. Moldovan James M. Decker Fei Wang A. A. Johnson Brian K. Lee Zachary Nado D. Sculley Tiark Rompf Alexander B. Wiltschko 60 43 0 16 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 110 182 0 16 Oct 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 96 211 0 16 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 2018
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario Yixiong Liang Zhihong Tang Meng Yan Jialin Chen Qing Liu Yao Xiang 130 11 0 14 Oct 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull 77 40 0 11 Oct 2018
Fast Context Adaptation via Meta-Learning L. Zintgraf K. Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson 88 37 0 08 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 108 761 0 08 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 79 136 0 08 Oct 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 83 30 0 04 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 117 230 0 04 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 103 653 0 03 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 140 275 0 01 Oct 2018
Interactive Agent Modeling by Learning to Probe Tianmin Shu Caiming Xiong Ying Nian Wu Song-Chun Zhu LM&Ro 53 2 0 01 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 106 70 0 30 Sep 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 92 54 0 29 Sep 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 120 208 0 29 Sep 2018
Learning and Planning with a Semantic Model Yi Wu Yuxin Wu Aviv Tamar Stuart J. Russell Georgia Gkioxari Yuandong Tian 55 17 0 28 Sep 2018
Sample Efficient Adaptive Text-to-Speech Yutian Chen Yannis Assael Brendan Shillingford David Budden Scott E. Reed ... Ben Laurie Çağlar Gülçehre Aaron van den Oord Oriol Vinyals Nando de Freitas 124 149 0 27 Sep 2018
A Meta-Learning Approach for Custom Model Training Amir Erfan Eshratifar M. Abrishami David Eigen Massoud Pedram 39 6 0 21 Sep 2018
Learning Quickly to Plan Quickly Using Modular Meta-Learning Rohan Chitnis L. Kaelbling Tomás Lozano-Pérez 76 26 0 20 Sep 2018
The Fast and the Flexible: training neural networks to learn to follow instructions from small data Rezka Leonandya Elia Bruni Dieuwke Hupkes Germán Kruszewski 57 6 0 17 Sep 2018
Open-world Learning and Application to Product Classification Hu Xu Bing-Quan Liu Lei Shu P. Yu CLL VLM 85 111 0 17 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 83 228 0 14 Sep 2018