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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 Dialogue Policy Learning Yumo Xu Chenguang Zhu Baolin Peng Michael Zeng OffRL 56 7 0 03 Jun 2020
Interpretable Time-series Classification on Few-shot Samples Wensi Tang Lu Liu Guodong Long AI4TS 78 20 0 03 Jun 2020
Meta Learning as Bayes Risk Minimization S. Maeda Toshiki Nakanishi Masanori Koyama BDL 28 1 0 02 Jun 2020
Latent Domain Learning with Dynamic Residual Adapters Lucas Deecke Timothy M. Hospedales Hakan Bilen 52 8 0 01 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 143 226 0 01 Jun 2020
When Does MAML Objective Have Benign Landscape? Igor Molybog Javad Lavaei 48 7 0 31 May 2020
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction Haimiao Zhang Baodong Liu Hengyong Yu Bin Dong 90 63 0 30 May 2020
Towards Context-Agnostic Learning Using Synthetic Data Charles Jin Martin Rinard OOD 113 1 0 29 May 2020
High-order structure preserving graph neural network for few-shot learning Guangfeng Lin Ying Yang Y. Fan Xiao-bing Kang Kaiyang Liao Fan Zhao 70 1 0 29 May 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 1.2K 42,753 0 28 May 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 126 194 0 28 May 2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 96 57 0 28 May 2020
Few-Shot Open-Set Recognition using Meta-Learning Bo Liu Hao Kang Haoxiang Li G. Hua Nuno Vasconcelos BDL EDL 68 93 0 27 May 2020
Looking back to lower-level information in few-shot learning Zhongjie Yu S. Raschka 48 5 0 27 May 2020
Unifying Few- and Zero-Shot Egocentric Action Recognition Tyler R. Scott Michael Shvartsman Karl Ridgeway EgoV 52 1 0 27 May 2020
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications Zequn Liu Ruiyi Zhang Yiping Song Wei Ju Ming Zhang 73 8 0 24 May 2020
Adaptive Reinforcement Learning through Evolving Self-Modifying Neural Networks Samuel Schmidgall KELM CLL 25 7 0 22 May 2020
A Concise Review of Recent Few-shot Meta-learning Methods Xiaoxu Li Z. Sun Jing-Hao Xue Zhanyu Ma VLM OffRL 121 134 0 22 May 2020
Bridging the gap between Natural and Medical Images through Deep Colorization Lia Morra Luca Piano Fabrizio Lamberti Tatiana Tommasi MedIm 59 15 0 21 May 2020
Cross-Domain Few-Shot Learning with Meta Fine-Tuning J. Cai S. Shen 71 29 0 21 May 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao Yang Hari Sundaram 62 67 0 21 May 2020
Multitask Learning with Single Gradient Step Update for Task Balancing Sungjae Lee Youngdoo Son 89 22 0 20 May 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption Hongyin Luo Shang-Wen Li James R. Glass BDL MedIm 129 9 0 19 May 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla 75 155 0 19 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning Jia-Fong Yeh Hsin-Ying Lee Bing-Chen Tsai Yi-Rong Chen Ping Huang Winston H. Hsu 75 14 0 19 May 2020
Variational Hyper-Encoding Networks Phuoc Nguyen T. Tran Sunil R. Gupta Santu Rana H. Dam Svetha Venkatesh BDL DRL 46 3 0 18 May 2020
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset C. Qiu Xiaochong Tong M. Schmitt B. Bechtel Xiaoxiang Zhu 82 54 0 16 May 2020
Learning Transferable Concepts in Deep Reinforcement Learning Diego Gomez Nicanor Quijano Luis Felipe Giraldo CLL SSL 42 0 0 16 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 103 133 0 14 May 2020
Self-Supervised Deep Visual Odometry with Online Adaptation Shunkai Li Xin Wang Yingdian Cao Fei Xue Zike Yan H. Zha TTA 65 73 0 13 May 2020
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing Yixiong Zou Shanghang Zhang Ke Chen Yonghong Tian Yaowei Wang J. M. F. Moura 49 27 0 12 May 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification Ruiying Geng Binhua Li Yongbin Li Jian Sun Xiao-Dan Zhu 56 79 0 12 May 2020
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification Mateusz Ochal Jose Vazquez Y. Pétillot Sen Wang 81 26 0 10 May 2020
Memory-Augmented Relation Network for Few-Shot Learning J. He Richang Hong Xueliang Liu Mingliang Xu Zhengjun Zha Meng Wang 98 50 0 09 May 2020
Information-Theoretic Generalization Bounds for Meta-Learning and Applications Sharu Theresa Jose Osvaldo Simeone 92 47 0 09 May 2020
Transforming task representations to perform novel tasks Andrew Kyle Lampinen James L. McClelland 44 5 0 08 May 2020
One-Shot Object Detection without Fine-Tuning Xiang Li Lin Zhang Yau Pun Chen Yu-Wing Tai Chi-Keung Tang ObjD VLM 71 28 0 08 May 2020
DFSeer: A Visual Analytics Approach to Facilitate Model Selection for Demand Forecasting Dong Sun Zezheng Feng Yuanzhe Chen Yong Wang Jia Zeng Mingxuan Yuan T. Pong Huamin Qu 37 28 0 07 May 2020
Safe Reinforcement Learning through Meta-learned Instincts Djordje Grbic S. Risi 47 8 0 06 May 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization Pierre-Alexandre Kamienny Matteo Pirotta A. Lazaric Thibault Lavril Nicolas Usunier Ludovic Denoyer 87 18 0 06 May 2020
Exploring Exploration: Comparing Children with RL Agents in Unified Environments Eliza Kosoy Jasmine Collins David M. Chan Sandy Huang Deepak Pathak Pulkit Agrawal John F. Canny Alison Gopnik Jessica B. Hamrick 51 16 0 06 May 2020
Incremental Few-Shot Object Detection for Robotics Yiting Li H. Zhu Sichao Tian Fan Feng Jun Ma C. Teo Cheng Xiang P. Vadakkepat T. Lee ObjD CLL 76 11 0 06 May 2020
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning Kyung-Hwan Shim Ji-Hoon Jeong Seong-Whan Lee 30 3 0 06 May 2020
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models Jayaraman J. Thiagarajan Bindya Venkatesh Rushil Anirudh P. Bremer J. Gaffney G. Anderson B. Spears 85 22 0 05 May 2020
MorphoCluster: Efficient Annotation of Plankton images by Clustering Simon-Martin Schroder R. Kiko Reinhard Koch 108 46 0 04 May 2020
NLP in FinTech Applications: Past, Present and Future Chung-Chi Chen Hen-Hsen Huang Hsin-Hsi Chen 45 20 0 04 May 2020
Generalized Reinforcement Meta Learning for Few-Shot Optimization R. Anantha S. Pulman Srinivas Chappidi OffRL 40 2 0 04 May 2020
One-Shot Image Classification by Learning to Restore Prototypes Wanqi Xue Wei Wang VLM 90 52 0 04 May 2020
Addressing Catastrophic Forgetting in Few-Shot Problems Pauching Yap H. Ritter David Barber CLL BDL 97 19 0 30 Apr 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 192 143 0 30 Apr 2020