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Meta-learning autoencoders for few-shot prediction

Meta-learning autoencoders for few-shot prediction

26 July 2018
Tailin Wu
J. Peurifoy
Isaac L. Chuang
Max Tegmark
ArXiv (abs)PDFHTML

Papers citing "Meta-learning autoencoders for few-shot prediction"

13 / 13 papers shown
Smooth Mathematical Function from Compact Neural Networks
Smooth Mathematical Function from Compact Neural Networks
I. K. Hong
151
0
0
31 Dec 2022
Compositional Law Parsing with Latent Random Functions
Compositional Law Parsing with Latent Random FunctionsInternational Conference on Learning Representations (ICLR), 2022
Fan Shi
Bin Li
Xiangyang Xue
CoGe
254
5
0
15 Sep 2022
AutoProtoNet: Interpretability for Prototypical Networks
AutoProtoNet: Interpretability for Prototypical Networks
Pedro Sandoval Segura
W. Lawson
100
2
0
02 Apr 2022
A Framework of Meta Functional Learning for Regularising Knowledge
  Transfer
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Pan Li
Yanwei Fu
S. Gong
98
0
0
28 Mar 2022
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated LearningIEEE Access (IEEE Access), 2021
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
Chinedum Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
296
59
0
09 Nov 2021
A Meta-learning Approach to Reservoir Computing: Time Series Prediction
  with Limited Data
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data
D. Canaday
Andrew Pomerance
M. Girvan
AI4TS
182
2
0
07 Oct 2021
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few SamplesPattern Recognition (Pattern Recognit.), 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
329
78
0
06 Sep 2020
Learning intuitive physics and one-shot imitation using
  state-action-prediction self-organizing maps
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
M. Stetter
E. Lang
SSLAI4CE
182
0
0
03 Jul 2020
Backpropamine: training self-modifying neural networks with
  differentiable neuromodulated plasticity
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticityInternational Conference on Learning Representations (ICLR), 2018
Thomas Miconi
Aditya Rawal
Jeff Clune
Kenneth O. Stanley
170
97
0
24 Feb 2020
Intelligence, physics and information -- the tradeoff between accuracy
  and simplicity in machine learning
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
338
2
0
11 Jan 2020
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
LGM-Net: Learning to Generate Matching Networks for Few-Shot LearningInternational Conference on Machine Learning (ICML), 2019
Huaiyu Li
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
Bao-Gang Hu
OffRL
164
105
0
15 May 2019
Motion Selective Prediction for Video Frame Synthesis
Motion Selective Prediction for Video Frame Synthesis
V. Prinet
77
1
0
25 Dec 2018
Meta-Learning with Latent Embedding Optimization
Meta-Learning with Latent Embedding OptimizationInternational Conference on Learning Representations (ICLR), 2018
Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
R. Hadsell
633
1,477
0
16 Jul 2018
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