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Unsupervised Meta-Learning For Few-Shot Image Classification

Unsupervised Meta-Learning For Few-Shot Image Classification

28 November 2018
Siavash Khodadadeh
Ladislau Bölöni
M. Shah
    SSL
    VLM
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Papers citing "Unsupervised Meta-Learning For Few-Shot Image Classification"

29 / 29 papers shown
Title
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui
Tongzi Wu
Jesse C. Cresswell
Yi Sui
Keyvan Golestan
68
0
0
12 Mar 2025
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
64
0
0
25 May 2024
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
29
70
0
10 Jul 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from
  Unlabeled Tables
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTD
SSL
26
31
0
02 Mar 2023
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
26
0
0
14 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
40
3
0
07 Oct 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised
  Meta-Learning
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning
Xingping Dong
Jianbing Shen
Ling Shao
32
7
0
27 Sep 2022
Contributions of Shape, Texture, and Color in Visual Recognition
Contributions of Shape, Texture, and Color in Visual Recognition
Yunhao Ge
Yao Xiao
Zhi-Qin John Xu
X. Wang
Laurent Itti
3DH
16
26
0
19 Jul 2022
Interpolating Compressed Parameter Subspaces
Interpolating Compressed Parameter Subspaces
Siddhartha Datta
N. Shadbolt
37
5
0
19 May 2022
Self-Supervised Class-Cognizant Few-Shot Classification
Self-Supervised Class-Cognizant Few-Shot Classification
Ojas Kishore Shirekar
Hadi Jamali Rad
SSL
48
4
0
15 Feb 2022
Visual Representation Learning with Self-Supervised Attention for
  Low-Label High-data Regime
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
Prarthana Bhattacharyya
Chenge Li
Xiaonan Zhao
István Fehérvári
Jason Sun
ViT
39
2
0
22 Jan 2022
Dual Prototypical Contrastive Learning for Few-shot Semantic
  Segmentation
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
32
10
0
09 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Trapit Bansal
K. Gunasekaran
Tong Wang
Tsendsuren Munkhdalai
Andrew McCallum
SSL
OOD
51
19
0
02 Nov 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised
  Self-Distillation: A New Approach to Rare Disease Classification
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
Jinghan Sun
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
32
8
0
09 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned
  Meta-Adaptation
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Jay Patravali
Gaurav Mittal
Ye Yu
Fuxin Li
Mei Chen
18
19
0
30 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey
Multimodality in Meta-Learning: A Comprehensive Survey
Yao Ma
Shilin Zhao
Weixiao Wang
Yaoman Li
Irwin King
50
53
0
28 Sep 2021
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-xiong Wang
José M. F. Moura
35
28
0
20 Sep 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
Mike Wu
Noah D. Goodman
Chris Piech
Chelsea Finn
35
19
0
23 Jul 2021
Trainable Class Prototypes for Few-Shot Learning
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li
Guizhong Liu
VLM
22
2
0
21 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning
SPeCiaL: Self-Supervised Pretraining for Continual Learning
Lucas Caccia
Joelle Pineau
CLL
SSL
24
18
0
16 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
40
9
0
05 Jun 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering
Multiple Meta-model Quantifying for Medical Visual Question Answering
Tuong Khanh Long Do
Binh X. Nguyen
Erman Tjiputra
Minh-Ngoc Tran
Quang-Dieu Tran
A. Nguyen
38
98
0
19 May 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun
Banghuai Li
Shengcai Cai
Ye Yuan
Chi Zhang
45
370
0
10 Mar 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot
  Learning
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
61
35
0
23 Jan 2021
Meta-Learning Requires Meta-Augmentation
Meta-Learning Requires Meta-Augmentation
Janarthanan Rajendran
A. Irpan
Eric Jang
24
93
0
10 Jul 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot
  Classification
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Carlos Medina
A. Devos
Matthias Grossglauser
SSL
26
50
0
19 Jun 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
19
35
0
17 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
82
1,935
0
11 Apr 2020
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
389
11,700
0
09 Mar 2017
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