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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
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification Chengyu Wang Minghui Qiu Jun Huang Xiaofeng He VLM KELM 106 13 0 25 Feb 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning Yifan Hu Siqi Zhang Xin Chen Niao He ODL 109 56 0 25 Feb 2020
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework Qiong Wu Kaiwen He Xu Chen 85 287 0 25 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 140 581 0 25 Feb 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization Sanjeev Arora S. Du Sham Kakade Yuping Luo Nikunj Saunshi 87 61 0 24 Feb 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting Yaoyao Liu Yuting Su Anan Liu Bernt Schiele Qianru Sun CLL 98 347 0 24 Feb 2020
The Sample Complexity of Meta Sparse Regression Zhanyu Wang Jean Honorio 134 3 0 22 Feb 2020
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 105 148 0 21 Feb 2020
Modelling Latent Skills for Multitask Language Generation Kris Cao Dani Yogatama 44 3 0 21 Feb 2020
Few-shot acoustic event detection via meta-learning Bowen Shi Ming Sun Krishna C. Puvvada Chieh-Chi Kao Spyros Matsoukas Chao Wang 79 62 0 21 Feb 2020
Meta-learning for mixed linear regression Weihao Kong Raghav Somani Zhao Song Sham Kakade Sewoong Oh 80 67 0 20 Feb 2020
Structured Prediction for Conditional Meta-Learning Ruohan Wang Y. Demiris C. Ciliberto CLL 70 6 0 20 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 102 165 0 20 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 97 174 0 20 Feb 2020
Distance-Based Regularisation of Deep Networks for Fine-Tuning Henry Gouk Timothy M. Hospedales Massimiliano Pontil 60 56 0 19 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning Arslan Chaudhry Albert Gordo P. Dokania Philip Torr David Lopez-Paz KELM CLL 104 237 0 19 Feb 2020
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle Xinyu Zhang Kai Zhao Taihong Xiao Mingg-Ming Cheng Ming-Hsuan Yang 61 1 0 19 Feb 2020
Meta Segmentation Network for Ultra-Resolution Medical Images Tong Wu Yuan Xie Yanyun Qu Bicheng Dai Shuxin Chen 56 5 0 19 Feb 2020
Curriculum in Gradient-Based Meta-Reinforcement Learning Bhairav Mehta T. Deleu Sharath Chandra Raparthy C. Pal Liam Paull 108 20 0 19 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 199 580 0 19 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 103 50 0 18 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention Yann Lifchitz Yannis Avrithis Sylvaine Picard SSL 65 7 0 18 Feb 2020
Evolutionary Optimization of Deep Learning Activation Functions G. Bingham William Macke Risto Miikkulainen ODL 50 51 0 17 Feb 2020
Differentiable Bandit Exploration Craig Boutilier Chih-Wei Hsu Branislav Kveton Martin Mladenov Csaba Szepesvári Manzil Zaheer BDL OffRL 55 7 0 17 Feb 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks Micah Goldblum Steven Reich Liam H. Fowl Renkun Ni Valeriia Cherepanova Tom Goldstein SSL OffRL 120 75 0 17 Feb 2020
AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes Manh Huynh G. Alaghband 58 8 0 16 Feb 2020
Learning Adaptive Loss for Robust Learning with Noisy Labels Jun Shu Qian Zhao Keyu Chen Zongben Xu Deyu Meng NoLa OOD 58 23 0 16 Feb 2020
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization Vikas Garg Adam Kalai Katrina Ligett Zhiwei Steven Wu OOD 46 23 0 13 Feb 2020
Adapting to Unseen Environments through Explicit Representation of Context C. Tutum Risto Miikkulainen 34 0 0 13 Feb 2020
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss Vincent Fortuin Martin Josifoski Andreas Krause UQCV 97 127 0 13 Feb 2020
Exploiting the Matching Information in the Support Set for Few Shot Event Classification Viet Dac Lai Franck Dernoncourt Thien Huu Nguyen 64 41 0 13 Feb 2020
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning Alireza Fallah Kristian Georgiev Aryan Mokhtari Asuman Ozdaglar 136 23 0 12 Feb 2020
Task-Robust Model-Agnostic Meta-Learning Liam Collins Aryan Mokhtari Sanjay Shakkottai OOD 59 13 0 12 Feb 2020
Towards Intelligent Pick and Place Assembly of Individualized Products Using Reinforcement Learning Caterina Neef Dario Luipers J. Bollenbacher Christian Gebel A. Richert 59 4 0 11 Feb 2020
On Parameter Tuning in Meta-learning for Computer Vision F. Mohammadi M. Amini H. Arabnia 48 13 0 11 Feb 2020
Machine Learning Approaches For Motor Learning: A Short Review Baptiste Caramiaux Jules Françoise A. Liu Téo Sanchez Frédéric Bevilacqua 55 11 0 11 Feb 2020
Towards explainable meta-learning Katarzyna Wo'znica P. Biecek 68 5 0 11 Feb 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning Nanyi Fei Zhiwu Lu Yizhao Gao Jia Tian Tao Xiang Ji-Rong Wen 273 11 0 11 Feb 2020
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem Yun Hua Xiangfeng Wang Bo Jin Wenhao Li Junchi Yan Xiaofeng He H. Zha OffRL 86 9 0 11 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment Qing Liu Orchid Majumder Alessandro Achille Avinash Ravichandran Rahul Bhotika Stefano Soatto CLL 55 6 0 11 Feb 2020
Compositional ADAM: An Adaptive Compositional Solver Rasul Tutunov Minne Li Alexander I. Cowen-Rivers Jun Wang Haitham Bou-Ammar ODL 103 16 0 10 Feb 2020
Federated Learning of a Mixture of Global and Local Models Filip Hanzely Peter Richtárik FedML 90 388 0 10 Feb 2020
Prototype Refinement Network for Few-Shot Segmentation Jinlu Liu Yongqiang Qin SSeg 75 30 0 10 Feb 2020
Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons Chen Tessler Shie Mannor 62 2 0 09 Feb 2020
Local Nonparametric Meta-Learning Wonjoon Goo S. Niekum 85 3 0 09 Feb 2020
GradMix: Multi-source Transfer across Domains and Tasks Junnan Li Ziwei Xu Yongkang Wong Qi Zhao Mohan Kankanhalli 37 7 0 09 Feb 2020
Learning State Abstractions for Transfer in Continuous Control Kavosh Asadi David Abel Michael L. Littman OffRL 63 7 0 08 Feb 2020
ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning Bingbing Sun T. Alkhalifah 36 18 0 08 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Yong Li Chih-Min Lin 119 33 0 08 Feb 2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials Christian F. Perez F. Such Theofanis Karaletsos 59 37 0 08 Feb 2020