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-Learning via Learned Loss Sarah Bechtle Artem Molchanov Yevgen Chebotar Edward Grefenstette Ludovic Righetti Gaurav Sukhatme Franziska Meier 20 110 0 12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 22 400 0 12 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 38 239 0 11 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning Chenyang Si Wentao Chen Wei Wang Liang Wang Tieniu Tan VLM 30 1 0 10 Jun 2019
Reducing the variance in online optimization by transporting past gradients Sébastien M. R. Arnold Pierre-Antoine Manzagol Reza Babanezhad Ioannis Mitliagkas Nicolas Le Roux 24 28 0 08 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 25 59 0 07 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 33 353 0 06 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 77 1,266 0 04 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 28 115 0 02 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 30 7 0 02 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 19 8 0 01 Jun 2019
Regression Networks for Meta-Learning Few-Shot Classification A. Devos Matthias Grossglauser 22 12 0 31 May 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 29 15 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 31 1 0 30 May 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 27 29 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 15 217 0 28 May 2019
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget Guy Davidson Michael C. Mozer CLL 20 23 0 26 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 23 17 0 24 May 2019
Personalizing Dialogue Agents via Meta-Learning Zhaojiang Lin Andrea Madotto Chien-Sheng Wu Pascale Fung 58 179 0 24 May 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models Egor Zakharov Aliaksandra Shysheya Egor Burkov Victor Lempitsky 3DH 65 625 0 20 May 2019
Alpha MAML: Adaptive Model-Agnostic Meta-Learning Harkirat Singh Behl A. G. Baydin Philip Torr 20 67 0 17 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 31 127 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 32 98 0 15 May 2019
Learning What and Where to Transfer Yunhun Jang Hankook Lee Sung Ju Hwang Jinwoo Shin 11 148 0 15 May 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training Avinash Ravichandran Rahul Bhotika Stefano Soatto 27 169 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 24 71 0 10 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 25 96 0 08 May 2019
Few-Shot Adaptive Gaze Estimation Seonwook Park Shalini De Mello Pavlo Molchanov Umar Iqbal Otmar Hilliges Jan Kautz 33 193 0 06 May 2019
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing Yunxiao Qin Chenxu Zhao Xiangyu Zhu Zezheng Wang Zitong Yu Tianyu Fu Feng Zhou Jingping Shi Zhen Lei CVBM 24 115 0 29 Apr 2019
Domain Agnostic Learning with Disentangled Representations Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko OOD DRL 18 258 0 28 Apr 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images Junsik Kim Tae-Hyun Oh Seokju Lee Fei Pan In So Kweon DRL 36 73 0 17 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 33 128 0 17 Apr 2019
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control Chen Liang Weihong Wang Zhenghua Liu Chao Lai Benchun Zhou 19 28 0 15 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 24 1,132 0 10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings Davis Wertheimer Bharath Hariharan 19 140 0 09 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 39 1,753 0 08 Apr 2019
Learning to Adapt for Stereo A. Tonioni Oscar Rahnama Thomas Joy Luigi Di Stefano Thalaiyasingam Ajanthan Philip Torr 13 83 0 05 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li Lei Wang Jinglin Xu Jing Huo Yang Gao Jiebo Luo 24 484 0 28 Mar 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization Giulia Denevi C. Ciliberto Riccardo Grazzi Massimiliano Pontil 20 108 0 25 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 36 483 0 25 Mar 2019
Few-shot Adaptive Faster R-CNN Tao Wang Xiaopeng Zhang Li-xin Yuan Jiashi Feng ObjD 23 131 0 22 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata 33 143 0 08 Mar 2019
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning Alex Kearney Vivek Veeriah Jaden B. Travnik P. Pilarski R. Sutton OOD 9 13 0 08 Mar 2019
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 51 612 0 07 Mar 2019
Zero-Shot Task Transfer Arghya Pal V. Balasubramanian 11 52 0 04 Mar 2019
Automating Predictive Modeling Process using Reinforcement Learning Udayan Khurana Horst Samulowitz OffRL 9 4 0 02 Mar 2019
Meta Dynamic Pricing: Transfer Learning Across Experiments Hamsa Bastani D. Simchi-Levi Ruihao Zhu 18 88 0 28 Feb 2019
Provable Guarantees for Gradient-Based Meta-Learning M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 39 147 0 27 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 35 21 0 22 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 28 564 0 22 Feb 2019