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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
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 156 620 0 07 Mar 2019
Concurrent Meta Reinforcement Learning Emilio Parisotto Soham Ghosh S. Yalamanchi Varsha Chinnaobireddy Yuhuai Wu Ruslan Salakhutdinov LRM 66 17 0 07 Mar 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning Chi Zhang Guosheng Lin Fayao Liu Rui Yao Chunhua Shen VLM SSeg 72 545 0 06 Mar 2019
Semi-Supervised Few-Shot Learning with Prototypical Random Walks A. Ayyad Yuchen Li Nassir Navab Shadi Albarqouni Mohamed Elhoseiny 38 7 0 06 Mar 2019
Learning a smooth kernel regularizer for convolutional neural networks Reuben Feinman Brenden M. Lake BDL SSL 54 7 0 05 Mar 2019
Model Primitive Hierarchical Lifelong Reinforcement Learning Bohan Wu Jayesh K. Gupta Mykel J. Kochenderfer OffRL 45 10 0 04 Mar 2019
Zero-Shot Task Transfer Arghya Pal V. Balasubramanian 98 52 0 04 Mar 2019
NoRML: No-Reward Meta Learning Yuxiang Yang Ken Caluwaerts Atil Iscen Jie Tan Chelsea Finn 77 27 0 04 Mar 2019
Automating Predictive Modeling Process using Reinforcement Learning Udayan Khurana Horst Samulowitz OffRL 38 4 0 02 Mar 2019
Meta Dynamic Pricing: Transfer Learning Across Experiments Hamsa Bastani D. Simchi-Levi Ruihao Zhu 130 94 0 28 Feb 2019
Provable Guarantees for Gradient-Based Meta-Learning M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 142 150 0 27 Feb 2019
Induction Networks for Few-Shot Text Classification Ruiying Geng Binhua Li Yongbin Li Xiao-Dan Zhu Ping Jian Jian Sun 104 186 0 27 Feb 2019
Intelligent Autonomous Things on the Battlefield Alexander Kott Ethan Stump 28 11 0 26 Feb 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Antreas Antoniou Amos Storkey SSL 111 75 0 26 Feb 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning Amit Alfassy Leonid Karlinsky Amit Aides J. Shtok Sivan Harary Rogerio Feris Raja Giryes A. Bronstein 129 119 0 26 Feb 2019
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions Xudong Sun Andrea Bommert Florian Pfisterer Jörg Rahnenführer Michel Lang B. Bischl FedML 73 12 0 24 Feb 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time Gabriel Huang Hugo Larochelle Simon Lacoste-Julien SSL OOD 130 21 0 22 Feb 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 87 256 0 22 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 143 574 0 22 Feb 2019
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation Sang-Woo Lee Tong Gao Sohee Yang Jaejun Yoo Jung-Woo Ha 54 17 0 22 Feb 2019
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting Jun Shu Qi Xie Lixuan Yi Qian Zhao Sanping Zhou Zongben Xu Deyu Meng NoLa 29 4 0 20 Feb 2019
Adaptive Masked Proxies for Few-Shot Segmentation Mennatullah Siam Boris N. Oreshkin Martin Jägersand 82 33 0 19 Feb 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 134 96 0 19 Feb 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 148 276 0 19 Feb 2019
Sufficiently Accurate Model Learning Clark Zhang Arbaaz Khan Santiago Paternain Alejandro Ribeiro 33 3 0 19 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 72 32 0 18 Feb 2019
Realizing Continual Learning through Modeling a Learning System as a Fiber Bundle Zhenfeng Cao 40 2 0 16 Feb 2019
Infinite Mixture Prototypes for Few-Shot Learning Kelsey R. Allen Evan Shelhamer Hanul Shin J. Tenenbaum 71 249 0 12 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 83 317 0 10 Feb 2019
The Omniglot challenge: a 3-year progress report Brenden M. Lake Ruslan Salakhutdinov J. Tenenbaum VLM 55 135 0 09 Feb 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 89 124 0 09 Feb 2019
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization Benoit Landry Zachary Manchester Marco Pavone 92 20 0 08 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 120 78 0 07 Feb 2019
Meta-Amortized Variational Inference and Learning Mike Wu Kristy Choi Noah D. Goodman Stefano Ermon OOD VLM BDL DRL 84 36 0 05 Feb 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning Arthur Juliani Ahmed Khalifa Vincent-Pierre Berges Jonathan Harper Ervin Teng Hunter Henry A. Crespi Julian Togelius Danny Lange 78 144 0 04 Feb 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning Francisco M. Garcia Philip S. Thomas 102 41 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 71 100 0 31 Jan 2019
Episodic Training for Domain Generalization Da Li Jianshu Zhang Yongxin Yang Cong Liu Yi-Zhe Song Timothy M. Hospedales OOD 146 450 0 31 Jan 2019
Feature-Critic Networks for Heterogeneous Domain Generalization Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales OOD 112 256 0 31 Jan 2019
Learning and Evaluating General Linguistic Intelligence Dani Yogatama Cyprien de Masson dÁutume Jerome T. Connor Tomás Kociský Mike Chrzanowski ... Angeliki Lazaridou Wang Ling Lei Yu Chris Dyer Phil Blunsom ELM AI4CE 174 211 0 31 Jan 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 75 187 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 117 165 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 146 335 0 30 Jan 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 111 20 0 29 Jan 2019
Reward Shaping via Meta-Learning Haosheng Zou Zhaolin Ren Dong Yan Hang Su Jun Zhu OffRL 96 69 0 27 Jan 2019
Few-shot Learning with Meta Metric Learners Yu Cheng Mo Yu Xiaoxiao Guo Bowen Zhou 105 19 0 26 Jan 2019
Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts Pengkai Zhu Hanxiao Wang Venkatesh Saligrama VLM 72 10 0 25 Jan 2019
Self-Supervised Generalisation with Meta Auxiliary Learning Shikun Liu Andrew J. Davison Edward Johns SSL OOD 94 163 0 25 Jan 2019
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems Osbert Bastani 61 4 0 24 Jan 2019
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction Huaxiu Yao Yiding Liu Ying Wei Xianfeng Tang Z. Li AI4TS 205 226 0 24 Jan 2019