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1907.12087
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Charting the Right Manifold: Manifold Mixup for Few-shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
28 July 2019
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
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Papers citing
"Charting the Right Manifold: Manifold Mixup for Few-shot Learning"
50 / 153 papers shown
Robust Meta-Representation Learning via Global Label Inference and Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
305
4
0
22 Dec 2022
A Statistical Model for Predicting Generalization in Few-Shot Classification
European Signal Processing Conference (EUSIPCO), 2022
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
Lukas Mauch
Stefan Uhlich
Fabien Cardinaux
G. B. Hacene
Javier Alonso García
245
2
0
13 Dec 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
162
25
0
29 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Qianyu Guo
Hongtong Gong
Xu Wei
Yanwei Fu
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
322
23
0
28 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
382
2
0
26 Nov 2022
SVFormer: Semi-supervised Video Transformer for Action Recognition
Computer Vision and Pattern Recognition (CVPR), 2022
Zhen Xing
Jingdong Sun
Hang-Rui Hu
Yue Yu
Zuxuan Wu
Yu-Gang Jiang
ViT
184
117
0
23 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
Minki Jeong
Changick Kim
172
1
0
22 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection
Neurocomputing (Neurocomputing), 2022
M. Zarei
Majid Komeili
FAtt
291
2
0
16 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Ning Ding
Yulin Chen
Ganqu Cui
Xiaobin Wang
Haitao Zheng
Zhiyuan Liu
Pengjun Xie
164
12
0
10 Nov 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Neural Information Processing Systems (NeurIPS), 2022
Jing Xu
Xu Luo
Xinglin Pan
Wenjie Pei
Yanan Li
Zenglin Xu
204
27
0
30 Oct 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
Neural Information Processing Systems (NeurIPS), 2022
D. Guo
Longlong Tian
He Zhao
Mingyuan Zhou
H. Zha
OODD
172
29
0
09 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
217
4
0
07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
British Machine Vision Conference (BMVC), 2022
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
176
4
0
05 Oct 2022
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
Pattern Recognition (Pattern Recogn.), 2022
Bharti Munjal
Alessandro Flaborea
S. Amin
F. Tombari
Fabio Galasso
128
30
0
21 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yuqing Hu
S. Pateux
Vincent Gripon
212
21
0
18 Sep 2022
Generalization in Neural Networks: A Broad Survey
Neurocomputing (Neurocomputing), 2022
Chris Rohlfs
OOD
AI4CE
277
18
0
04 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying-Cong Chen
J. Hsieh
Ming-Ching Chang
334
0
0
03 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDL
VLM
269
18
0
22 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning
International Conference on Neural Information Processing (ICONIP), 2022
Jianpeng Yang
Yuhang Niu
Xuemei Xie
G. Shi
195
1
0
20 Aug 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
European Conference on Computer Vision (ECCV), 2022
Tao Zhang
Wu Huang
180
16
0
24 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner
European Conference on Computer Vision (ECCV), 2022
Yuning Lu
Liangjiang Wen
Jianzhuang Liu
Yajing Liu
Xinmei Tian
SSL
236
50
0
19 Jul 2022
Few-shot Open-set Recognition Using Background as Unknowns
ACM Multimedia (ACM MM), 2022
Nan Song
Chi Zhang
Guosheng Lin
VLM
SSL
146
14
0
19 Jul 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
IEEE transactions on multimedia (IEEE TMM), 2022
Hegui Zhu
Zhan Gao
Jiayi Wang
Yangqiaoyu Zhou
Chengqing Li
302
22
0
18 Jul 2022
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
European Conference on Computer Vision (ECCV), 2022
Wentao Chen
Zheng Zhang
Wei Wang
Liang Wang
Zilei Wang
Tieniu Tan
173
11
0
16 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Subeen Lee
WonJun Moon
Jae-Pil Heo
169
70
0
04 Jul 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Li Shuhan
Xuelong Li
Xiaowei Xu
Kwang-Ting Cheng
324
10
0
03 Jul 2022
Channel Importance Matters in Few-Shot Image Classification
International Conference on Machine Learning (ICML), 2022
Xu Luo
Jing Xu
Zenglin Xu
VLM
241
55
0
16 Jun 2022
Rethinking Generalization in Few-Shot Classification
Neural Information Processing Systems (NeurIPS), 2022
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCL
VLM
332
83
0
15 Jun 2022
Metric Based Few-Shot Graph Classification
LOG IN (LOG IN), 2022
Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
212
6
0
08 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
360
554
0
13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation
Yujin Kim
Jaehoon Oh
Sungnyun Kim
Se-Young Yun
272
10
0
13 May 2022
Generating Representative Samples for Few-Shot Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Aoxiang Fan
Hieu M. Le
VLM
232
89
0
05 May 2022
Meta-free few-shot learning via representation learning with weight averaging
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Kuilin Chen
Chi-Guhn Lee
186
6
0
26 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
Computer Vision and Pattern Recognition (CVPR), 2022
S. Hu
Da Li
Jan Stuhmer
Minyoung Kim
Timothy M. Hospedales
268
233
0
15 Apr 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning
Shakti Kumar
Hussain Zaidi
153
8
0
11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Jiangtao Xie
Fei Long
Jiaming Lv
Qilong Wang
P. Li
233
222
0
09 Apr 2022
The Self-Optimal-Transport Feature Transform
Daniel Shalam
Simon Korman
OT
164
23
0
06 Apr 2022
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?
Tian Yun
Usha Bhalla
Ellie Pavlick
Chen Sun
ReLM
CoGe
VLM
LRM
263
34
0
31 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Philip Chikontwe
Soopil Kim
Sang Hyun Park
192
35
0
25 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Yang He
Weihan Liang
Dongyang Zhao
Hong-Yu Zhou
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
ViT
223
56
0
17 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu
Lei Xing
Shuai Shao
Lifei Zhao
Baodi Liu
Weifeng Liu
Yicong Zhou
336
24
0
15 Mar 2022
Worst Case Matters for Few-Shot Recognition
European Conference on Computer Vision (ECCV), 2022
Minghao Fu
Yunhao Cao
Jianxin Wu
188
8
0
13 Mar 2022
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning
Baoquan Zhang
Hao Jiang
Xutao Li
Shanshan Feng
Yunming Ye
Rui Ye
253
5
0
03 Mar 2022
Semantically Proportional Patchmix for Few-Shot Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jingquan Wang
Jing Xu
Yu Pan
Zenglin Xu
VLM
125
1
0
17 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Chunwei Ma
Ziyun Huang
Mingchen Gao
Jinhui Xu
188
5
0
05 Feb 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Yassir Bendou
Yuqing Hu
Raphael Lafargue
G. Lioi
Bastien Pasdeloup
S. Pateux
Vincent Gripon
VLM
259
39
0
24 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
Social Science Research Network (SSRN), 2022
Peyman Bateni
Jarred Barber
Raghav Goyal
Vaden Masrani
Jan-Willem van de Meent
Leonid Sigal
Frank Wood
BDL
VLM
200
10
0
13 Jan 2022
Preventing Manifold Intrusion with Locality: Local Mixup
Raphael Baena
Lucas Drumetz
Vincent Gripon
AAML
221
16
0
12 Jan 2022
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
AAAI Conference on Artificial Intelligence (AAAI), 2021
Ta-Ying Cheng
Hsuan-ru Yang
Niki Trigoni
Hwann-Tzong Chen
Tyng-Luh Liu
122
9
0
23 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification
Jing Xu
Xinglin Pan
Xu Luo
Wenjie Pei
Zenglin Xu
143
5
0
14 Dec 2021
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