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Probabilistic Model-Agnostic Meta-Learning

Probabilistic Model-Agnostic Meta-Learning

7 June 2018
Chelsea Finn
Kelvin Xu
Sergey Levine
    BDL
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Papers citing "Probabilistic Model-Agnostic Meta-Learning"

33 / 133 papers shown
Title
Weighted Meta-Learning
Weighted Meta-Learning
Diana Cai
Rishit Sheth
Lester W. Mackey
Nicolò Fusi
35
12
0
20 Mar 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline
  Population Synthesis
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha
Matthew O'Kelly
Hongrui Zheng
Rahul Mangharam
John C. Duchi
Russ Tedrake
OffRL
66
26
0
09 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors
PAC-Bayes meta-learning with implicit task-specific posteriors
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
BDL
39
7
0
05 Mar 2020
Learning Fast Adaptation on Cross-Accented Speech Recognition
Learning Fast Adaptation on Cross-Accented Speech Recognition
Genta Indra Winata
Samuel Cahyawijaya
Zihan Liu
Zhaojiang Lin
Andrea Madotto
Peng-Tao Xu
Pascale Fung
49
80
0
04 Mar 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
Xingyou Song
Yuxiang Yang
K. Choromanski
Ken Caluwaerts
Wenbo Gao
Chelsea Finn
Jie Tan
112
79
0
02 Mar 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Kaiyi Ji
Junjie Yang
Yingbin Liang
17
49
0
18 Feb 2020
Local Nonparametric Meta-Learning
Local Nonparametric Meta-Learning
Wonjoon Goo
S. Niekum
32
3
0
09 Feb 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement
  Learning with Clairvoyant Experts
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts
Gilwoo Lee
Brian Hou
Sanjiban Choudhury
S. Srinivasa
BDL
OffRL
31
7
0
07 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
11
12
0
06 Feb 2020
Meta-Learning of Neural Architectures for Few-Shot Learning
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
17
136
0
25 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
  Recognition
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
16
37
0
17 Nov 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
30
219
0
30 Oct 2019
Graph Few-shot Learning via Knowledge Transfer
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao
Chuxu Zhang
Ying Wei
Meng Jiang
Suhang Wang
Junzhou Huang
Nitesh V. Chawla
Z. Li
45
162
0
07 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
14
98
0
07 Oct 2019
Modular Meta-Learning with Shrinkage
Modular Meta-Learning with Shrinkage
Yutian Chen
A. Friesen
Feryal M. P. Behbahani
Arnaud Doucet
David Budden
Matthew W. Hoffman
Nando de Freitas
KELM
OffRL
15
35
0
12 Sep 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms,
  Applications and Promises
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
F. Mohammadi
M. Amini
H. Arabnia
OffRL
26
22
0
26 Aug 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OOD
BDL
UQCV
19
54
0
27 Jul 2019
Learning to learn via Self-Critique
Learning to learn via Self-Critique
Antreas Antoniou
Amos Storkey
SSL
23
17
0
24 May 2019
Meta reinforcement learning as task inference
Meta reinforcement learning as task inference
Jan Humplik
Alexandre Galashov
Leonard Hasenclever
Pedro A. Ortega
Yee Whye Teh
N. Heess
OffRL
29
127
0
15 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
30
128
0
17 Apr 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
18
1,751
0
08 Apr 2019
Adaptive Cross-Modal Few-Shot Learning
Adaptive Cross-Modal Few-Shot Learning
Chen Xing
Negar Rostamzadeh
Boris N. Oreshkin
Pedro H. O. Pinheiro
31
271
0
19 Feb 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio
T. Deleu
Nasim Rahaman
Nan Rosemary Ke
Sébastien Lachapelle
O. Bilaniuk
Anirudh Goyal
C. Pal
CML
OOD
46
332
0
30 Jan 2019
Toward Multimodal Model-Agnostic Meta-Learning
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
55
31
0
18 Dec 2018
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
75
1,057
0
06 Dec 2018
The effects of negative adaptation in Model-Agnostic Meta-Learning
The effects of negative adaptation in Model-Agnostic Meta-Learning
T. Deleu
Yoshua Bengio
25
20
0
05 Dec 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of
  Navigation Policies
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Homanga Bharadhwaj
Zihan Wang
Yoshua Bengio
Liam Paull
24
40
0
11 Oct 2018
Fast Context Adaptation via Meta-Learning
Fast Context Adaptation via Meta-Learning
L. Zintgraf
K. Shiarlis
Vitaly Kurin
Katja Hofmann
Shimon Whiteson
18
37
0
08 Oct 2018
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
26
229
0
04 Oct 2018
Open-world Learning and Application to Product Classification
Open-world Learning and Application to Product Classification
Hu Xu
Bing-Quan Liu
Lei Shu
P. Yu
CLL
VLM
24
110
0
17 Sep 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Kelvin Xu
Ellis Ratner
Anca Dragan
Sergey Levine
Chelsea Finn
27
66
0
31 May 2018
Meta-Learning Probabilistic Inference For Prediction
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon
J. Bronskill
Matthias Bauer
Sebastian Nowozin
Richard Turner
BDL
45
263
0
24 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
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