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Learning feed-forward one-shot learners

Learning feed-forward one-shot learners

16 June 2016
Luca Bertinetto
João F. Henriques
Jack Valmadre
Philip Torr
Andrea Vedaldi
ArXiv (abs)PDFHTML

Papers citing "Learning feed-forward one-shot learners"

16 / 16 papers shown
Title
Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
235
2
0
12 Jan 2025
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
128
14
0
15 Mar 2023
Fully-Convolutional Siamese Networks for Object Tracking
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto
Jack Valmadre
João F. Henriques
Andrea Vedaldi
Philip Torr
VOT
86
3,889
0
30 Jun 2016
One-Shot Generalization in Deep Generative Models
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende
S. Mohamed
Ivo Danihelka
Karol Gregor
Daan Wierstra
BDLVLMDRLLRM
129
254
0
16 Mar 2016
Image Question Answering using Convolutional Neural Network with Dynamic
  Parameter Prediction
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh
Paul Hongsuck Seo
Bohyung Han
OOD
78
327
0
18 Nov 2015
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam
Bohyung Han
120
2,478
0
27 Oct 2015
Bilinear CNNs for Fine-grained Visual Recognition
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
142
1,877
0
29 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
355
18,661
0
06 Feb 2015
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Naiyan Wang
Siyi Li
Abhinav Gupta
Dit-Yan Yeung
84
310
0
19 Jan 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
333
2,950
0
15 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,637
0
01 Sep 2014
Learning Deep Face Representation
Learning Deep Face Representation
Haoqiang Fan
Zhimin Cao
Yuning Jiang
Qi Yin
Chinchilla Doudou
SSLCVBM
169
110
0
12 Mar 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
486
16,922
0
20 Dec 2013
Predicting Parameters in Deep Learning
Predicting Parameters in Deep Learning
Misha Denil
B. Shakibi
Laurent Dinh
MarcÁurelio Ranzato
Nando de Freitas
OOD
224
1,323
0
03 Jun 2013
Zero-Shot Learning Through Cross-Modal Transfer
Zero-Shot Learning Through Cross-Modal Transfer
R. Socher
M. Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
A. Ng
BDLVLM
128
1,469
0
16 Jan 2013
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