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Bayesian Model-Agnostic Meta-Learning

Bayesian Model-Agnostic Meta-Learning

11 June 2018
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Bayesian Model-Agnostic Meta-Learning"

43 / 93 papers shown
Title
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
31
41
0
05 Mar 2021
Fast Adaptation with Linearized Neural Networks
Fast Adaptation with Linearized Neural Networks
Wesley J. Maddox
Shuai Tang
Pablo G. Moreno
A. Wilson
Andreas C. Damianou
24
32
0
02 Mar 2021
Meta-Learning Dynamics Forecasting Using Task Inference
Meta-Learning Dynamics Forecasting Using Task Inference
Rui Wang
Robin G. Walters
Rose Yu
OOD
AI4TS
AI4CE
24
31
0
20 Feb 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Xueting Zhang
Debin Meng
H. Gouk
Timothy M. Hospedales
BDL
UQCV
25
68
0
08 Jan 2021
Diminishing Uncertainty within the Training Pool: Active Learning for
  Medical Image Segmentation
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
V. Nath
Dong Yang
Bennett A. Landman
Daguang Xu
H. Roth
27
68
0
07 Jan 2021
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
18
70
0
24 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning
Measuring and Harnessing Transference in Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
28
15
0
29 Oct 2020
Learning to Learn Variational Semantic Memory
Learning to Learn Variational Semantic Memory
Xiantong Zhen
Yingjun Du
Huan Xiong
Qiang Qiu
Cees G. M. Snoek
Ling Shao
SSL
BDL
VLM
DRL
15
34
0
20 Oct 2020
Few-shot Learning for Spatial Regression
Few-shot Learning for Spatial Regression
Tomoharu Iwata
Yusuke Tanaka
24
11
0
09 Oct 2020
Federated Generalized Bayesian Learning via Distributed Stein
  Variational Gradient Descent
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
Rahif Kassab
Osvaldo Simeone
FedML
23
45
0
11 Sep 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma
  Augmented Gaussian Processes
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake C. Snell
R. Zemel
33
63
0
20 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta Learning
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
34
3
0
17 Jul 2020
Submodular Meta-Learning
Submodular Meta-Learning
Arman Adibi
Aryan Mokhtari
Hamed Hassani
CLL
21
5
0
11 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation
  Graphs
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu
Tianyu Gao
Louis-Pascal Xhonneux
Jian Tang
BDL
18
106
0
05 Jul 2020
Gradient-EM Bayesian Meta-learning
Gradient-EM Bayesian Meta-learning
Yayi Zou
Xiaoqi Lu
BDL
25
16
0
21 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel
  Regression
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression
Arun Venkitaraman
Anders Hansson
B. Wahlberg
17
8
0
12 Jun 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
43
1,927
0
11 Apr 2020
Weighted Meta-Learning
Weighted Meta-Learning
Diana Cai
Rishit Sheth
Lester W. Mackey
Nicolò Fusi
27
12
0
20 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
31
7
0
05 Mar 2020
Local Nonparametric Meta-Learning
Local Nonparametric Meta-Learning
Wonjoon Goo
S. Niekum
30
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
23
7
0
07 Feb 2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity
  for Communication Systems
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems
Osvaldo Simeone
Sangwoo Park
Joonhyuk Kang
AI4CE
23
62
0
05 Jan 2020
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
Stein Variational Gradient Descent With Matrix-Valued Kernels
Stein Variational Gradient Descent With Matrix-Valued Kernels
Dilin Wang
Ziyang Tang
Chandrajit L. Bajaj
Qiang Liu
25
62
0
28 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
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
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard E. Turner
24
240
0
18 Jun 2019
Adaptive Deep Kernel Learning
Adaptive Deep Kernel Learning
Prudencio Tossou
Basile Dura
François Laviolette
M. Marchand
Alexandre Lacoste
21
29
0
28 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
26
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
27
128
0
17 Apr 2019
Semantics Preserving Adversarial Learning
Semantics Preserving Adversarial Learning
Ousmane Amadou Dia
Elnaz Barshan
Reza Babanezhad
AAML
GAN
24
2
0
10 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few
  Examples
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
25
611
0
07 Mar 2019
Zero-Shot Task Transfer
Zero-Shot Task Transfer
Arghya Pal
V. Balasubramanian
6
52
0
04 Mar 2019
Adaptive Cross-Modal Few-Shot Learning
Adaptive Cross-Modal Few-Shot Learning
Chen Xing
Negar Rostamzadeh
Boris N. Oreshkin
Pedro H. O. Pinheiro
20
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
50
31
0
18 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
15
20
0
05 Dec 2018
Stein Variational Gradient Descent as Moment Matching
Stein Variational Gradient Descent as Moment Matching
Qiang Liu
Dilin Wang
12
37
0
27 Oct 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
16
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
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 E. 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
329
11,681
0
09 Mar 2017
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