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Attentional Meta-learners for Few-shot Polythetic Classification
v1v2 (latest)

Attentional Meta-learners for Few-shot Polythetic Classification

9 June 2021
Ben Day
Ramón Viñas Torné
Nikola Simidjievski
Pietro Lio
ArXiv (abs)PDFHTML

Papers citing "Attentional Meta-learners for Few-shot Polythetic Classification"

13 / 13 papers shown
Title
Few-shot Image Classification: Just Use a Library of Pre-trained Feature
  Extractors and a Simple Classifier
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier
Arkabandhu Chowdhury
Mingchao Jiang
Swarat Chaudhuri
C. Jermaine
VLM
69
41
0
03 Jan 2021
Few-shot Classification via Adaptive Attention
Few-shot Classification via Adaptive Attention
Zihang Jiang
Bingyi Kang
Kuangqi Zhou
Jiashi Feng
38
19
0
06 Aug 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
278
641
0
17 Oct 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
116
1,769
0
08 Apr 2019
Attentive Neural Processes
Attentive Neural Processes
Hyunjik Kim
A. Mnih
Jonathan Richard Schwarz
M. Garnelo
S. M. Ali Eslami
Dan Rosenbaum
Oriol Vinyals
Yee Whye Teh
106
442
0
17 Jan 2019
Meta-Learning with Latent Embedding Optimization
Meta-Learning with Latent Embedding Optimization
Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
R. Hadsell
148
1,374
0
16 Jul 2018
Differentiable plasticity: training plastic neural networks with
  backpropagation
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi
Jeff Clune
Kenneth O. Stanley
AI4CE
75
154
0
06 Apr 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
240
2,238
0
08 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren
Eleni Triantafillou
S. S. Ravi
Jake C. Snell
Kevin Swersky
J. Tenenbaum
Hugo Larochelle
R. Zemel
SSL
76
1,284
0
02 Mar 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
311
4,054
0
16 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
833
11,952
0
09 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
378
7,343
0
13 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
413
7,971
0
17 Aug 2015
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