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Uncertainty-Aware Meta-Learning for Multimodal Task Distributions

Uncertainty-Aware Meta-Learning for Multimodal Task Distributions

4 October 2022
Cesar Almecija
Apoorva Sharma
Navid Azizan
    OOD
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty-Aware Meta-Learning for Multimodal Task Distributions"

9 / 9 papers shown
Title
Meta-learning for Out-of-Distribution Detection via Density Estimation
  in Latent Space
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space
Tomoharu Iwata
Atsutoshi Kumagai
OODD
35
2
0
20 Jun 2022
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
66
32
0
02 Mar 2021
Deep learning versus kernel learning: an empirical study of loss
  landscape geometry and the time evolution of the Neural Tangent Kernel
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
Stanislav Fort
Gintare Karolina Dziugaite
Mansheej Paul
Sepideh Kharaghani
Daniel M. Roy
Surya Ganguli
93
189
0
28 Oct 2020
On the linearity of large non-linear models: when and why the tangent
  kernel is constant
On the linearity of large non-linear models: when and why the tangent kernel is constant
Chaoyue Liu
Libin Zhu
M. Belkin
104
141
0
02 Oct 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
84
218
0
30 Oct 2019
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
277
501
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
255
670
0
07 Jun 2018
Deep Neural Networks as Gaussian Processes
Deep Neural Networks as Gaussian Processes
Jaehoon Lee
Yasaman Bahri
Roman Novak
S. Schoenholz
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
UQCV
BDL
113
1,091
0
01 Nov 2017
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
803
11,866
0
09 Mar 2017
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