ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.03014
  4. Cited By
A Hybrid Approach with Optimization and Metric-based Meta-Learner for
  Few-Shot Learning
v1v2 (latest)

A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning

4 April 2019
Duo Wang
Yu Cheng
Mo Yu
Xiaoxiao Guo
Zhang Tao
    VLM
ArXiv (abs)PDFHTML

Papers citing "A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning"

12 / 12 papers shown
Title
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCVBDL
285
503
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
271
672
0
07 Jun 2018
Multi-level Semantic Feature Augmentation for One-shot Learning
Multi-level Semantic Feature Augmentation for One-shot Learning
Z. Chen
Yanwei Fu
Yinda Zhang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
76
235
0
15 Apr 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
301
4,050
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
172
1,239
0
10 Nov 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
96
1,119
0
31 Jul 2017
Generative Adversarial Residual Pairwise Networks for One Shot Learning
Generative Adversarial Residual Pairwise Networks for One Shot Learning
A. Mehrotra
Ambedkar Dukkipati
GAN
58
110
0
23 Mar 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
823
11,937
0
09 Mar 2017
Doubly Convolutional Neural Networks
Doubly Convolutional Neural Networks
Shuangfei Zhai
Yu Cheng
Weining Lu
Zhongfei Zhang
OOD3DV
48
63
0
30 Oct 2016
Learning to learn by gradient descent by gradient descent
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
115
2,008
0
14 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
373
7,323
0
13 Jun 2016
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
101
2,330
0
20 Oct 2014
1