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
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 49 97 0 19 Feb 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 31 271 0 19 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
Task2Vec: Task Embedding for Meta-Learning Alessandro Achille Michael Lam Rahul Tewari Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Stefano Soatto Pietro Perona SSL 28 309 0 10 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 33 77 0 07 Feb 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning Francisco M. Garcia Philip S. Thomas 8 38 0 03 Feb 2019
Learning to Make Analogies by Contrasting Abstract Relational Structure Felix Hill Adam Santoro David Barrett Ari S. Morcos Timothy Lillicrap NAI 17 98 0 31 Jan 2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel D. Mankowitz Augustin Žídek Rémi Munos OffRL 35 161 0 30 Jan 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 46 332 0 30 Jan 2019
Few-shot Learning with Meta Metric Learners Yu Cheng Mo Yu Xiaoxiao Guo Bowen Zhou 30 19 0 26 Jan 2019
Meta-Learning Mean Functions for Gaussian Processes Vincent Fortuin Heiko Strathmann Gunnar Rätsch BDL FedML MLT 11 29 0 23 Jan 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 46 854 0 18 Jan 2019
Ubiquitous Acoustic Sensing on Commodity IoT Devices: A Survey Chao Cai Rong Zheng Jun Luo 22 57 0 11 Jan 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System Xinshi Chen Shuang Li Hui Li Shaohua Jiang Yuan Qi Le Song 11 206 0 27 Dec 2018
Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu Zhirong Wu Han Hu Stephen Lin 26 63 0 20 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 55 31 0 18 Dec 2018
Learning Private Neural Language Modeling with Attentive Aggregation Shaoxiong Ji Shirui Pan Guodong Long Xue Li Jing Jiang Zi Huang FedML MoMe 16 136 0 17 Dec 2018
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 46 712 0 12 Dec 2018
On the potential for open-endedness in neural networks N. Guttenberg N. Virgo A. Penn 21 10 0 12 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 68 657 0 10 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 21 518 0 07 Dec 2018
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 75 1,059 0 06 Dec 2018
The effects of negative adaptation in Model-Agnostic Meta-Learning T. Deleu Yoshua Bengio 25 20 0 05 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 56 1,393 0 03 Dec 2018
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning Mitchell Wortsman Kiana Ehsani Mohammad Rastegari Ali Farhadi Roozbeh Mottaghi SSL 25 222 0 03 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 22 169 0 03 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 35 377 0 03 Dec 2018
Guiding Policies with Language via Meta-Learning John D. Co-Reyes Abhishek Gupta Suvansh Sanjeev Nick Altieri Jacob Andreas John DeNero Pieter Abbeel Sergey Levine LM&Ro 26 63 0 19 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 34 825 0 16 Nov 2018
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks Jing Shi Jiaming Xu Yiqun Yao Bo Xu 28 24 0 15 Nov 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 86 1,353 0 15 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning Xi Chen Ali Ghadirzadeh Mårten Björkman Pablo G. Cámara OffRL 19 54 0 08 Nov 2018
Concept Learning with Energy-Based Models William J. Wilkinson 27 25 0 06 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 18 22 0 03 Nov 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 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 33 765 0 29 Oct 2018
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks Tianhe Yu Pieter Abbeel Sergey Levine Chelsea Finn 13 68 0 25 Oct 2018
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 36 262 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 19 601 0 24 Oct 2018
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation Xiaolin Zhang Yunchao Wei Yi Yang Thomas Huang VLM 20 458 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 28 64 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 13 43 0 16 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 30 181 0 16 Oct 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 29 209 0 16 Oct 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull 24 40 0 11 Oct 2018
Fast Context Adaptation via Meta-Learning L. Zintgraf K. Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson 18 37 0 08 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 32 756 0 08 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 29 135 0 08 Oct 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huan Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric P. Xing 24 30 0 04 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 31 229 0 04 Oct 2018