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Knowledge as Invariance -- History and Perspectives of
  Knowledge-augmented Machine Learning

Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning

21 December 2020
A. Sagel
Amit Sahu
Stefan Matthes
H. Pfeifer
Tianming Qiu
Harald Ruess
Hao Shen
Julian Wormann
ArXivPDFHTML

Papers citing "Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning"

5 / 5 papers shown
Title
Knowledge-augmented Deep Learning and Its Applications: A Survey
Knowledge-augmented Deep Learning and Its Applications: A Survey
Zijun Cui
Tian Gao
Kartik Talamadupula
Qiang Ji
25
18
0
30 Nov 2022
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
170
666
0
07 Jun 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
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
239
31,257
0
16 Jan 2013
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