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2006.11702
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A Universal Representation Transformer Layer for Few-Shot Image Classification
21 June 2020
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
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Papers citing
"A Universal Representation Transformer Layer for Few-Shot Image Classification"
27 / 27 papers shown
Title
Flatness Improves Backbone Generalisation in Few-shot Classification
Rui Li
Martin Trapp
Talal Alrawajfeh
Arno Solin
100
0
0
11 Apr 2024
Attribute Propagation Network for Graph Zero-shot Learning
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
VLM
77
75
0
24 Sep 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
203
24
0
20 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard Turner
87
90
0
06 Mar 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
63
48
0
22 Jan 2020
Improved Few-Shot Visual Classification
Peyman Bateni
Raghav Goyal
Vaden Masrani
Frank Wood
Leonid Sigal
VLM
69
231
0
07 Dec 2019
Learning to Propagate for Graph Meta-Learning
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
87
97
0
11 Sep 2019
A Baseline for Few-Shot Image Classification
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
77
580
0
06 Sep 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard Turner
66
242
0
18 Jun 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Hongyang Li
David Eigen
Samuel F. Dodge
Matthew D. Zeiler
Xiaogang Wang
VLM
112
341
0
27 May 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon
Jun Seo
Jaekyun Moon
67
275
0
16 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
80
72
0
10 May 2019
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
114
1,767
0
08 Apr 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Lixuan Zhu
Vincent Dumoulin
Pascal Lamblin
Utku Evci
...
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
Hugo Larochelle
151
617
0
07 Mar 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
125
666
0
10 Dec 2018
Modular meta-learning
Ferran Alet
Tomás Lozano-Pérez
L. Kaelbling
OffRL
78
122
0
26 Jun 2018
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin
Pau Rodríguez López
Alexandre Lacoste
96
1,313
0
23 May 2018
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
70
1,283
0
02 Mar 2018
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAtt
AIMat
OffRL
AI4CE
352
2,212
0
22 Sep 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
300
8,134
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
823
11,909
0
09 Mar 2017
A Structured Self-attentive Sentence Embedding
Zhouhan Lin
Minwei Feng
Cicero Nogueira dos Santos
Mo Yu
Bing Xiang
Bowen Zhou
Yoshua Bengio
113
2,139
0
09 Mar 2017
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen
Andrea Vedaldi
72
147
0
25 Jan 2017
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
373
7,323
0
13 Jun 2016
Stochastic Function Norm Regularization of Deep Networks
Amal Rannen Triki
Anderson C. A. Nascimento
63
274
0
30 May 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
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