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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 Dropout: Learning to Perturb Features for Generalization Haebeom Lee Taewook Nam Eunho Yang Sung Ju Hwang OOD 68 3 0 30 May 2019
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification Léonard Boussioux Tomás Giro-Larraz Charles Guille-Escuret Mehdi Cherti Balázs Kégl 62 1 0 30 May 2019
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 87 322 0 29 May 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 98 29 0 28 May 2019
Learning Portable Representations for High-Level Planning Steven D. James Benjamin Rosman George Konidaris SSL 66 40 0 28 May 2019
Discrete Infomax Codes for Supervised Representation Learning Yoonho Lee Wonjae Kim Wonpyo Park Seungjin Choi 57 4 0 28 May 2019
Image Deformation Meta-Networks for One-Shot Learning Z. Chen Yanwei Fu Yu-Xiong Wang Lin Ma Wei Liu M. Hebert 78 223 0 28 May 2019
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy Ruihan Yang Qiwei Ye Tie-Yan Liu 38 0 0 28 May 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Hongyang Li David Eigen Samuel F. Dodge Matthew D. Zeiler Xiaogang Wang VLM 122 341 0 27 May 2019
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning Yufei Wang Ziju Shen Zichao Long Bin Dong AI4CE PINN 77 40 0 27 May 2019
Learning latent state representation for speeding up exploration Giulia Vezzani Abhishek Gupta Lorenzo Natale Pieter Abbeel 63 28 0 27 May 2019
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 86 64 0 27 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 146 122 0 27 May 2019
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget Guy Davidson Michael C. Mozer CLL 62 23 0 26 May 2019
Auditory Separation of a Conversation from Background via Attentional Gating Shariq Mobin Bruno A. Olshausen 32 2 0 26 May 2019
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 199 805 0 25 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 98 17 0 24 May 2019
Neuro-Optimization: Learning Objective Functions Using Neural Networks Younghan Jeon Minsik Lee J. Choi 50 1 0 24 May 2019
Personalizing Dialogue Agents via Meta-Learning Zhaojiang Lin Andrea Madotto Chien-Sheng Wu Pascale Fung 140 187 0 24 May 2019
Zero-shot task adaptation by homoiconic meta-mapping Andrew Kyle Lampinen James L. McClelland 59 1 0 23 May 2019
Bayesian Optimization with Approximate Set Kernels Jungtaek Kim M. McCourt Tackgeun You Saehoon Kim Seungjin Choi 80 8 0 23 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 72 232 0 23 May 2019
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems Chien-Sheng Wu Andrea Madotto Ehsan Hosseini-Asl Caiming Xiong R. Socher Pascale Fung 93 438 0 21 May 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models Egor Zakharov Aliaksandra Shysheya Egor Burkov Victor Lempitsky 3DH 178 631 0 20 May 2019
Knowledge Transferring via Model Aggregation for Online Social Care Shaoxiong Ji Guodong Long Shirui Pan Tianqing Zhu Jing Jiang Sen Wang Xue Li 33 0 0 19 May 2019
Alpha MAML: Adaptive Model-Agnostic Meta-Learning Harkirat Singh Behl A. G. Baydin Philip Torr 85 68 0 17 May 2019
Efficient Optimization of Loops and Limits with Randomized Telescoping Sums Alex Beatson Ryan P. Adams 72 21 0 16 May 2019
Deep Compressed Sensing Yan Wu Mihaela Rosca Timothy Lillicrap GAN 107 167 0 16 May 2019
One-Shot Texture Retrieval with Global Context Metric Kai Zhu Wei Zhai Zhengjun Zha Yang Cao 3DV 122 6 0 16 May 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Sung Whan Yoon Jun Seo Jaekyun Moon 79 275 0 16 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan Zhenguo Li X. Guan Peijie Wang OffRL 121 50 0 16 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 120 128 0 15 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning Huaiyu Li Weiming Dong Xing Mei Chongyang Ma Feiyue Huang Bao-Gang Hu OffRL 74 98 0 15 May 2019
Learning What and Where to Transfer Yunhun Jang Hankook Lee Sung Ju Hwang Jinwoo Shin 75 151 0 15 May 2019
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems Fei Mi Minlie Huang Jiyong Zhang Boi Faltings 96 101 0 14 May 2019
A Brief Survey of Multilingual Neural Machine Translation Raj Dabre Chenhui Chu Anoop Kunchukuttan LRM 58 4 0 14 May 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 73 205 0 13 May 2019
Few-Shot Viewpoint Estimation Hung-Yu Tseng Shalini De Mello Jonathan Tremblay Sifei Liu Stan Birchfield Ming-Hsuan Yang Jan Kautz 3DPC 66 16 0 13 May 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training Avinash Ravichandran Rahul Bhotika Stefano Soatto 81 170 0 10 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Lu Liu Dinesh Manocha Guodong Long Jing Jiang Lina Yao Chengqi Zhang 106 72 0 10 May 2019
Data-Efficient Mutual Information Neural Estimator Xiaoyu Lin Indranil Sur Samuel A. Nastase Ajay Divakaran Uri Hasson Mohamed R. Amer DRL 71 21 0 08 May 2019
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records Xi Sheryl Zhang Fengyi Tang H. H. Dodge Jiayu Zhou Fei Wang 54 110 0 08 May 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 123 101 0 08 May 2019
Few-Shot Adaptive Gaze Estimation Seonwook Park Shalini De Mello Pavlo Molchanov Umar Iqbal Otmar Hilliges Jan Kautz 79 201 0 06 May 2019
Few-Shot Unsupervised Image-to-Image Translation Ming-Yuan Liu Xun Huang Arun Mallya Tero Karras Timo Aila J. Lehtinen Jan Kautz 71 610 0 05 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 104 458 0 04 May 2019
Meta-learners' learning dynamics are unlike learners' Neil C. Rabinowitz OffRL 88 16 0 03 May 2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning Spyros Gidaris N. Komodakis 97 231 0 03 May 2019
Learning to Find Common Objects Across Few Image Collections Amirreza Shaban Amir M. Rahimi Shray Bansal Stephen Gould Byron Boots Leonid Sigal 42 1 0 29 Apr 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 120 553 0 29 Apr 2019