Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1811.11819
Cited By
v1
v2 (latest)
Unsupervised Meta-Learning For Few-Shot Image Classification
28 November 2018
Siavash Khodadadeh
Ladislau Bölöni
M. Shah
SSL
VLM
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Unsupervised Meta-Learning For Few-Shot Image Classification"
50 / 58 papers shown
Title
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu
Xinyi Yang
Jiayu Zhan
Wei Liang
Chi Zhang
Yixin Zhu
149
0
0
21 Oct 2025
Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation
Yang Zhang
Huiwen Yan
Mushuang Liu
112
0
0
30 Sep 2025
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
Yunchuan Guan
Yu Liu
Ke Zhou
Zhiqi Shen
Jenq-Neng Hwang
Serge Belongie
Lei Li
137
0
0
16 Sep 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui
Tongzi Wu
Jesse C. Cresswell
Yi Sui
Keyvan Golestan
269
0
0
12 Mar 2025
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
341
3
0
25 May 2024
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers
Matthieu Terris
Thomas Moreau
185
1
0
30 Nov 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
Jeroen Galjaard
Robert Birke
Marten van Dijk
Lydia Y. Chen
NoLa
247
0
0
12 Sep 2023
Meta-DM: Applications of Diffusion Models on Few-Shot Learning
W. Hu
Xiurong Jiang
Jiarun Liu
Yuqi Yang
Hui Tian
DiffM
193
7
0
14 May 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Huiwon Jang
Hankook Lee
Jinwoo Shin
VLM
SSL
204
26
0
02 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
International Conference on Learning Representations (ICLR), 2023
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTD
SSL
245
48
0
02 Mar 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Guodong Qi
Huimin Yu
CML
SSL
163
9
0
20 Feb 2023
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition
Pattern Recognition (Pattern Recogn.), 2023
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Zhe Zuo
Changxin Gao
Rong Jin
Nong Sang
234
35
0
09 Jan 2023
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
130
0
0
14 Oct 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ojas Kishorkumar Shirekar
Ashutosh Kumar Singh
Hadi Jamali Rad
178
6
0
12 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
217
4
0
07 Oct 2022
Contributions of Shape, Texture, and Color in Visual Recognition
European Conference on Computer Vision (ECCV), 2022
Yunhao Ge
Yao Xiao
Zhi-Qin John Xu
Xingyu Wang
Laurent Itti
3DH
137
41
0
19 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
Interpolating Compressed Parameter Subspaces
Siddhartha Datta
N. Shadbolt
224
5
0
19 May 2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Prarthana Bhattacharyya
Chenge Li
Xiaonan Zhao
István Fehérvári
Jason Sun
ViT
175
2
0
22 Jan 2022
Multi-level Second-order Few-shot Learning
IEEE transactions on multimedia (IEEE TMM), 2022
Hongguang Zhang
Hongdong Li
Piotr Koniusz
165
39
0
15 Jan 2022
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
155
12
0
09 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Trapit Bansal
K. Gunasekaran
Tong Wang
Tsendsuren Munkhdalai
Andrew McCallum
SSL
OOD
181
21
0
02 Nov 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Jinghan Sun
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
155
11
0
09 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Jay Patravali
Gaurav Mittal
Ye Yu
Fuxin Li
Mei Chen
196
23
0
30 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey
Yao Ma
Shilin Zhao
Weixiao Wang
Yaoman Li
Irwin King
242
70
0
28 Sep 2021
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-Xiong Wang
José M. F. Moura
157
33
0
20 Sep 2021
Online Unsupervised Learning of Visual Representations and Categories
Mengye Ren
Tyler R. Scott
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
OCL
SSL
328
5
0
13 Sep 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
Mike Wu
Noah D. Goodman
Chris Piech
Chelsea Finn
251
22
0
23 Jul 2021
Few-Shot Learning with a Strong Teacher
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
238
68
0
01 Jul 2021
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li
Guizhong Liu
VLM
178
2
0
21 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning
Lucas Caccia
Joelle Pineau
CLL
SSL
140
19
0
16 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
394
12
0
05 Jun 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Wentao Chen
Chenyang Si
Wei Wang
Liang Wang
Zilei Wang
Tieniu Tan
SSL
126
10
0
25 May 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Tuong Khanh Long Do
Binh X. Nguyen
Erman Tjiputra
Minh-Ngoc Tran
Quang-Dieu Tran
A. Nguyen
406
124
0
19 May 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Alexander Bartler
Andreas Bühler
Felix Wiewel
Mario Döbler
Binh Yang
TTA
OOD
208
96
0
30 Mar 2021
Meta-learning of Pooling Layers for Character Recognition
IEEE International Conference on Document Analysis and Recognition (ICDAR), 2021
Takato Otsuzuki
Heon Song
S. Uchida
Hideaki Hayashi
147
3
0
17 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Computer Vision and Pattern Recognition (CVPR), 2021
Bo Sun
Banghuai Li
Shengcai Cai
Ye Yuan
Fangqiu Yi
288
481
0
10 Mar 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
225
43
0
23 Jan 2021
Machine learning with limited data
Fupin Yao
VLM
114
8
0
18 Jan 2021
Are Fewer Labels Possible for Few-shot Learning?
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Guang Dai
Qi Chu
Nenghai Yu
SSL
159
3
0
10 Dec 2020
Model-Agnostic Learning to Meta-Learn
A. Devos
Yatin Dandi
OOD
252
1
0
04 Dec 2020
A Survey on Machine Learning from Few Samples
Pattern Recognition (Pattern Recognit.), 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
315
76
0
06 Sep 2020
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning
Bonifaz Stuhr
Jürgen Brauer
204
1
0
04 Sep 2020
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
International Conference on Machine Learning (ICML), 2020
Alexander Wang
Mengye Ren
R. Zemel
SSL
300
24
0
27 Aug 2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning
Jianyi Li
Guizhong Liu
VLM
SSL
MQ
110
15
0
23 Aug 2020
A Self-supervised GAN for Unsupervised Few-shot Object Recognition
Khoi Duc Minh Nguyen
S. Todorovic
SSL
208
8
0
16 Aug 2020
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras
Homagni Saha
Sin Yong Tan
Ali Saffari
Mohamad Katanbaf
Joshua R. Smith
Soumik Sarkar
114
3
0
13 Aug 2020
Few-shot Classification via Adaptive Attention
Zihang Jiang
Bingyi Kang
Kuangqi Zhou
Jiashi Feng
202
25
0
06 Aug 2020
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction
European Conference on Computer Vision (ECCV), 2020
Minchul Shin
223
14
0
14 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding
ACM Multimedia (ACM MM), 2020
Jinhai Yang
Han Yang
Lin Chen
138
20
0
11 Jul 2020
1
2
Next