Meta-learning autoencoders for few-shot prediction

26 July 2018

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

9 / 9 papers shown

Title
Smooth Mathematical Function from Compact Neural Networks I. K. Hong 28 0 0 31 Dec 2022
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 21 4 0 15 Sep 2022
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 49 51 0 09 Nov 2021
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data D. Canaday Andrew Pomerance M. Girvan AI4TS 23 1 0 07 Oct 2021
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity Thomas Miconi Aditya Rawal Jeff Clune Kenneth O. Stanley 19 90 0 24 Feb 2020
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning Huaiyu Li Weiming Dong Xing Mei Chongyang Ma Feiyue Huang Bao-Gang Hu OffRL 32 98 0 15 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 250 439 0 01 Dec 2016
Convolution by Evolution: Differentiable Pattern Producing Networks Chrisantha Fernando Dylan Banarse Malcolm Reynolds F. Besse David Pfau Max Jaderberg Marc Lanctot Daan Wierstra 191 102 0 08 Jun 2016