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Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot
  Learning

Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning

5 September 2023
Siyang Jiang
Rui Fang
Hsi-Wen Chen
Wei Ding
Ming-Syan Chen
ArXiv (abs)PDFHTML

Papers citing "Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning"

27 / 27 papers shown
Title
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
118
382
0
13 May 2022
Contextual Gradient Scaling for Few-Shot Learning
Contextual Gradient Scaling for Few-Shot Learning
Sang Hyuk Lee
Seunghyun Lee
B. Song
61
6
0
20 Oct 2021
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-domain Few-shot Learning with Task-specific Adapters
Weihong Li
Xialei Liu
Hakan Bilen
OOD
92
118
0
01 Jul 2021
Maximum-Entropy Adversarial Data Augmentation for Improved
  Generalization and Robustness
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao
Ting Liu
Xi Peng
Dimitris N. Metaxas
OODAAML
103
169
0
15 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences
Self-training for Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo
B. Hariharan
SSL
115
108
0
15 Oct 2020
Cross-Domain Few-Shot Learning with Meta Fine-Tuning
Cross-Domain Few-Shot Learning with Meta Fine-Tuning
J. Cai
S. Shen
69
29
0
21 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
390
18,897
0
13 Feb 2020
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
315
2,393
0
11 Nov 2019
Hierarchically Structured Meta-learning
Hierarchically Structured Meta-learning
Huaxiu Yao
Ying Wei
Junzhou Huang
Z. Li
64
203
0
13 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
624
4,809
0
13 May 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical
  Images
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
Junsik Kim
Tae-Hyun Oh
Seokju Lee
Fei Pan
In So Kweon
DRL
65
73
0
17 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
90
1,820
0
10 Apr 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
LEAF: A Benchmark for Federated Settings
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
158
1,423
0
03 Dec 2018
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
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using
  Generative Models
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAMLGAN
86
1,179
0
17 May 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
Data Augmentation Generative Adversarial Networks
Data Augmentation Generative Adversarial Networks
Antreas Antoniou
Amos Storkey
Harrison Edwards
MedImGAN
145
1,074
0
12 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
176
1,240
0
10 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
316
9,811
0
25 Oct 2017
Random Erasing Data Augmentation
Random Erasing Data Augmentation
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
100
3,649
0
16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
137
3,775
0
15 Aug 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
Convolutional Neural Networks at Constrained Time Cost
Convolutional Neural Networks at Constrained Time Cost
Kaiming He
Jian Sun
3DV
88
1,292
0
04 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
220
4,289
0
04 Jun 2013
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