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Probabilistic Model-Agnostic Meta-Learning

7 June 2018

Papers citing "Probabilistic Model-Agnostic Meta-Learning"

27 / 27 papers shown

Title
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation Xin Wang Ling Feng Huijun Zhang Lei Cao Kaisheng Zeng Qi Li Yang Ding Yi Dai David A. Clifton 112 0 0 03 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Wenjie Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 159 0 0 27 Apr 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 151 10 0 28 Jan 2025
Temporal-Difference Variational Continual Learning Luckeciano C. Melo Alessandro Abate Yarin Gal BDL CLL VLM 127 0 0 10 Oct 2024
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 107 8 0 28 May 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 116 4 0 20 Mar 2023
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 80 5 0 14 Jul 2022
Amortized Inference Regularization Rui Shu Hung Bui Shengjia Zhao Mykel J. Kochenderfer Stefano Ermon DRL 50 82 0 23 May 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 90 510 0 26 Jan 2018
Deep Prior Alexandre Lacoste Thomas Boquet Negar Rostamzadeh Boris N. Oreshkin Wonchang Chung David M. Krueger SSL UQCV VLM OOD BDL 47 7 0 13 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 308 4,049 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 174 1,240 0 10 Nov 2017
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm Chelsea Finn Sergey Levine SSL 96 223 0 31 Oct 2017
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 126 566 0 14 Sep 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 96 1,121 0 31 Jul 2017
Bayesian Recurrent Neural Networks Meire Fortunato Charles Blundell Oriol Vinyals BDL 65 186 0 10 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,150 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 102 1,028 0 09 Nov 2016
Early Visual Concept Learning with Unsupervised Deep Learning I. Higgins Loic Matthey Xavier Glorot Arka Pal Benigno Uria Charles Blundell S. Mohamed Alexander Lerchner CoGe OCL DRL 61 173 0 17 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 375 7,333 0 13 Jun 2016
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 97 427 0 07 Jun 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 92 485 0 20 Mar 2016
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 192 1,892 0 20 May 2015
Bayesian Multitask Learning with Latent Hierarchies Hal Daumé BDL 76 131 0 09 Aug 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 262 2,627 0 29 Jun 2012