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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
Object-Level Representation Learning for Few-Shot Image Classification Liangqu Long Wei Wang Jun Wen Meihui Zhang Qian Lin Beng Chin Ooi VLM 53 9 0 28 May 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 102 18 0 27 May 2018
Few-Shot Segmentation Propagation with Guided Networks Kate Rakelly Evan Shelhamer Trevor Darrell Alexei A. Efros Sergey Levine 94 119 0 25 May 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 118 670 0 25 May 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 138 265 0 24 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 117 327 0 24 May 2018
Been There, Done That: Meta-Learning with Episodic Recall Samuel Ritter Jane X. Wang Z. Kurth-Nelson Siddhant M. Jayakumar Charles Blundell Razvan Pascanu M. Botvinick CLL 72 84 0 24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 117 1,320 0 23 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 176 1,333 0 23 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 142 39 0 22 May 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning Tyler R. Scott Karl Ridgeway Michael C. Mozer 85 84 0 22 May 2018
Improved Algorithms for Collaborative PAC Learning Huy Le Nguyen Lydia Zakynthinou 139 28 0 22 May 2018
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients Arbaaz Khan Clark Zhang Daniel D. Lee Vijay Kumar Alejandro Ribeiro 64 30 0 22 May 2018
AgileNet: Lightweight Dictionary-based Few-shot Learning M. Ghasemzadeh Fang Lin B. Rouhani F. Koushanfar Ke Huang 43 5 0 21 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 114 932 0 21 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 94 464 0 20 May 2018
Diverse Few-Shot Text Classification with Multiple Metrics Mo Yu Xiaoxiao Guo Jinfeng Yi Shiyu Chang Saloni Potdar Yu Cheng Gerald Tesauro Haoyu Wang Bowen Zhou 69 216 0 19 May 2018
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning Shiyin Wei Xiaowei Jin Hui Li AI4CE 75 40 0 13 May 2018
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization Juan Cruz Barsce J. Palombarini E. Martínez GP 62 33 0 12 May 2018
Task Transfer by Preference-Based Cost Learning Chi-Hung Hsu Shu-Huan Chang Da-Cheng Juan Yu-Ting Chen Shih-Chieh Chang 79 54 0 12 May 2018
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples Xiu-Shen Wei Peng Wang Lingqiao Liu Chunhua Shen Jianxin Wu 73 125 0 11 May 2018
Towards a universal neural network encoder for time series Joan Serrà Santiago Pascual Alexandros Karatzoglou AI4TS 84 122 0 10 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 80 1,132 0 25 Apr 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,225 0 23 Apr 2018
Memory Matching Networks for One-Shot Image Recognition Qi Cai Yingwei Pan Ting Yao C. Yan Tao Mei VLM 78 265 0 23 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 89 530 0 18 Apr 2018
On Learning Intrinsic Rewards for Policy Gradient Methods Zeyu Zheng Junhyuk Oh Satinder Singh 77 209 0 17 Apr 2018
Reinforced Co-Training Jiawei Wu Lei Li William Yang Wang OffRL 92 51 0 17 Apr 2018
Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA Jaekoo Lee Byunghan Lee Jongyoon Song Jaesik Yoon Yongsik Lee Donghun Lee Sungroh Yoon 31 2 0 16 Apr 2018
Multi-level Semantic Feature Augmentation for One-shot Learning Z. Chen Yanwei Fu Yinda Zhang Yu-Gang Jiang Xiangyang Xue Leonid Sigal 90 236 0 15 Apr 2018
Decoupled Novel Object Captioner Yuehua Wu Linchao Zhu Lu Jiang Yi Yang 91 63 0 11 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 74 177 0 10 Apr 2018
Differentiable plasticity: training plastic neural networks with backpropagation Thomas Miconi Jeff Clune Kenneth O. Stanley AI4CE 90 154 0 06 Apr 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 79 145 0 02 Apr 2018
Meta-Learning Update Rules for Unsupervised Representation Learning Luke Metz Niru Maheswaranathan Brian Cheung Jascha Narain Sohl-Dickstein SSL OOD 85 123 0 31 Mar 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 196 555 0 30 Mar 2018
Fast Parametric Learning with Activation Memorization Jack W. Rae Chris Dyer Peter Dayan Timothy Lillicrap KELM 161 47 0 27 Mar 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 167 491 0 26 Mar 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 156 1,432 0 24 Mar 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 87 142 0 20 Mar 2018
Learning to Explore with Meta-Policy Gradient Tianbing Xu Qiang Liu Liang Zhao Jian Peng 74 54 0 13 Mar 2018
Cross-domain Recommendation via Deep Domain Adaptation Heishiro Kanagawa Hayato Kobayashi N. Shimizu Yukihiro Tagami Taiji Suzuki 68 94 0 08 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 260 2,240 0 08 Mar 2018
Transfer Learning with Neural AutoML Catherine Wong N. Houlsby Yifeng Lu Andrea Gesmundo 73 114 0 07 Mar 2018
Understanding Short-Horizon Bias in Stochastic Meta-Optimization Yuhuai Wu Mengye Ren Renjie Liao Roger C. Grosse 112 138 0 06 Mar 2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning Bradly C. Stadie Ge Yang Rein Houthooft Xi Chen Yan Duan Yuhuai Wu Pieter Abbeel Ilya Sutskever LRM 93 116 0 03 Mar 2018
Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang Chenglong Wang Rishabh Singh Wen-tau Yih Xiaodong He 99 123 0 02 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 85 1,287 0 02 Mar 2018
Memory-based Parameter Adaptation Pablo Sprechmann Siddhant M. Jayakumar Jack W. Rae Alexander Pritzel Adria Puigdomenech Badia Benigno Uria Oriol Vinyals Demis Hassabis Razvan Pascanu Charles Blundell ODL OOD VLM 93 102 0 28 Feb 2018
Stochastic Hyperparameter Optimization through Hypernetworks Jonathan Lorraine David Duvenaud 86 140 0 26 Feb 2018