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Meta-Transfer Learning for Few-Shot Learning

Meta-Transfer Learning for Few-Shot Learning

6 December 2018
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
ArXivPDFHTML

Papers citing "Meta-Transfer Learning for Few-Shot Learning"

50 / 408 papers shown
Title
A Meta-Learning Approach for Medical Image Registration
A Meta-Learning Approach for Medical Image Registration
Heejung Park
Gyeong Min Lee
Soopil Kim
Gahyung Ryu
Areum Jeong
Sang Hyun Park
Sa-Hee Min
19
11
0
21 Apr 2021
Applications of physics-informed scientific machine learning in
  subsurface science: A survey
Applications of physics-informed scientific machine learning in subsurface science: A survey
A. Sun
H. Yoon
C. Shih
Zhi Zhong
AI4CE
13
9
0
10 Apr 2021
Conditional Hyper-Network for Blind Super-Resolution with Multiple
  Degradations
Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations
Guanghao Yin
Wei Wang
Zehuan Yuan
Wei Ji
Dongdong Yu
Shouqian Sun
Tat-Seng Chua
Changhu Wang
21
14
0
08 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang
Nan Song
Guosheng Lin
Yun Zheng
Pan Pan
Yinghui Xu
CLL
34
289
0
07 Apr 2021
Learnable Expansion-and-Compression Network for Few-shot
  Class-Incremental Learning
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning
Boyu Yang
Mingbao Lin
Binghao Liu
Mengying Fu
Chang-rui Liu
Rongrong Ji
QiXiang Ye
CLL
16
14
0
06 Apr 2021
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition
A. Bhunia
S. Ghose
Amandeep Kumar
Pinaki Nath Chowdhury
Aneeshan Sain
Yi-Zhe Song
23
29
0
05 Apr 2021
Federated Few-Shot Learning with Adversarial Learning
Federated Few-Shot Learning with Adversarial Learning
Chenyou Fan
Jianwei Huang
FedML
13
29
0
01 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification
Revisiting Local Descriptor for Improved Few-Shot Classification
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Qianru Sun
11
24
0
30 Mar 2021
OTCE: A Transferability Metric for Cross-Domain Cross-Task
  Representations
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
Yang Tan
Yang Li
Shao-Lun Huang
OT
OOD
OODD
9
70
0
25 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
C. Xu
Chen Liu
Li Zhang
Chengjie Wang
Jilin Li
Feiyue Huang
Xiangyang Xue
Yanwei Fu
16
103
0
25 Mar 2021
One to Many: Adaptive Instrument Segmentation via Meta Learning and
  Dynamic Online Adaptation in Robotic Surgical Video
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video
Zixu Zhao
Yueming Jin
Bo Lu
Chi-Fai Ng
Qi Dou
Yunhui Liu
Pheng-Ann Heng
10
24
0
24 Mar 2021
Hierarchical Representation based Query-Specific Prototypical Network
  for Few-Shot Image Classification
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification
Yaohui Li
Huaxiong Li
Haoxing Chen
Chunlin Chen
25
4
0
21 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition
Multi-level Metric Learning for Few-shot Image Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
24
21
0
21 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor
  Neural Network
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Yang Liu
Tu Zheng
Jie Song
Deng Cai
Xiaofei He
22
25
0
15 Mar 2021
A Review on Semi-Supervised Relation Extraction
A Review on Semi-Supervised Relation Extraction
Yusen Lin
SSL
14
3
0
12 Mar 2021
Population-Based Evolution Optimizes a Meta-Learning Objective
Population-Based Evolution Optimizes a Meta-Learning Objective
Kevin Frans
Olaf Witkowski
17
5
0
11 Mar 2021
Machine Learning for Massive Industrial Internet of Things
Machine Learning for Massive Industrial Internet of Things
Hui Zhou
Changyang She
Yansha Deng
M. Dohler
A. Nallanathan
14
30
0
10 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with
  Self-supervision
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Hainan Li
Renshuai Tao
Jun Li
Haotong Qin
Yifu Ding
Shuo Wang
Xianglong Liu
SSL
19
8
0
10 Mar 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
17
369
0
10 Mar 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Shunyu Jiang
Fuli Feng
Weijia Chen
Xiang Li
Xiangnan He
17
18
0
05 Mar 2021
Learning Invariant Representations across Domains and Tasks
Learning Invariant Representations across Domains and Tasks
Jindong Wang
Wenjie Feng
Chang-Shu Liu
Chaohui Yu
Min Du
Renjun Xu
Tao Qin
Tie-Yan Liu
OOD
20
3
0
03 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant
  Representations for Few-Shot Learning
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
Mamshad Nayeem Rizve
Salman Khan
F. Khan
M. Shah
29
108
0
01 Mar 2021
Few-Shot Lifelong Learning
Few-Shot Lifelong Learning
Pratik Mazumder
Pravendra Singh
Piyush Rai
CLL
21
119
0
01 Mar 2021
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Yi-Syuan Chen
Hong-Han Shuai
CLL
OffRL
40
38
0
18 Feb 2021
SelfHAR: Improving Human Activity Recognition through Self-training with
  Unlabeled Data
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Chi Ian Tang
I. Perez-Pozuelo
Dimitris Spathis
S. Brage
N. Wareham
Cecilia Mascolo
SSL
HAI
VLM
11
90
0
11 Feb 2021
Transfer learning based few-shot classification using optimal transport
  mapping from preprocessed latent space of backbone neural network
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network
Tomás Chobola
Daniel Vasata
Pavel Kordík
OT
15
14
0
09 Feb 2021
Few-shot Image Classification with Multi-Facet Prototypes
Few-shot Image Classification with Multi-Facet Prototypes
Kun Yan
Zied Bouraoui
Ping Wang
Shoaib Jameel
Steven Schockaert
13
4
0
01 Feb 2021
Combat Data Shift in Few-shot Learning with Knowledge Graph
Combat Data Shift in Few-shot Learning with Knowledge Graph
Yongchun Zhu
Fuzhen Zhuang
Xiangliang Zhang
Zhiyuan Qi
Zhiping Shi
Juan Cao
Qing He
OOD
13
4
0
27 Jan 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
53
35
0
23 Jan 2021
Image-to-Image Translation: Methods and Applications
Image-to-Image Translation: Methods and Applications
Yingxue Pang
Jianxin Lin
Tao Qin
Zhibo Chen
VLM
27
258
0
21 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Xueting Zhang
Debin Meng
H. Gouk
Timothy M. Hospedales
BDL
UQCV
25
67
0
08 Jan 2021
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object
  Detection
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Keren Ye
Adriana Kovashka
Mark Sandler
Menglong Zhu
Andrew G. Howard
Marco Fornoni
AAML
MQ
14
7
0
04 Jan 2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature
  Extractors and a Simple Classifier
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier
Arkabandhu Chowdhury
Mingchao Jiang
Swarat Chaudhuri
C. Jermaine
VLM
18
41
0
03 Jan 2021
MM-FSOD: Meta and metric integrated few-shot object detection
MM-FSOD: Meta and metric integrated few-shot object detection
Yuewen Li
W. Feng
Shuchang Lyu
Qi Zhao
Xuliang Li
ObjD
12
12
0
30 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification
Spatial Contrastive Learning for Few-Shot Classification
Yassine Ouali
C´eline Hudelot
Myriam Tami
11
49
0
26 Dec 2020
Few Shot Learning With No Labels
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
4
3
0
26 Dec 2020
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
Shiyuan Huang
Jiawei Ma
G. Han
Shih-Fu Chang
BDL
17
19
0
24 Dec 2020
Adversarial Meta Sampling for Multilingual Low-Resource Speech
  Recognition
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
Yubei Xiao
Ke Gong
Pan Zhou
Guolin Zheng
Xiaodan Liang
Liang Lin
17
34
0
22 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning
On Episodes, Prototypical Networks, and Few-shot Learning
Steinar Laenen
Luca Bertinetto
12
97
0
17 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
31
0
0
16 Dec 2020
Portrait Neural Radiance Fields from a Single Image
Portrait Neural Radiance Fields from a Single Image
Chen Gao
Yichang Shih
Wei-Sheng Lai
Chia-Kai Liang
Jia-Bin Huang
3DH
CVBM
98
79
0
10 Dec 2020
Detection of Adversarial Supports in Few-shot Classifiers Using
  Self-Similarity and Filtering
Detection of Adversarial Supports in Few-shot Classifiers Using Self-Similarity and Filtering
Y. Tan
Penny Chong
Jiamei Sun
Ngai-man Cheung
Yuval Elovici
Alexander Binder
18
1
0
09 Dec 2020
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot
  Learning
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning
J. Cai
B. Cai
S. Shen
12
7
0
03 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of
  Few-Shot Tasks
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks
Han-Jia Ye
Lu Han
De-Chuan Zhan
OffRL
SSL
VLM
14
27
0
30 Nov 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
19
29
0
30 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
11
70
0
24 Nov 2020
One Shot Learning for Speech Separation
One Shot Learning for Speech Separation
Yuan-Kuei Wu
Kuan-Po Huang
Yu Tsao
Hung-yi Lee
VLM
13
7
0
20 Nov 2020
Bidirectional RNN-based Few Shot Learning for 3D Medical Image
  Segmentation
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation
Soopil Kim
Sion An
Philip Chikontwe
Sang Hyun Park
14
40
0
19 Nov 2020
Towards Zero-Shot Learning with Fewer Seen Class Examples
Towards Zero-Shot Learning with Fewer Seen Class Examples
Vinay K. Verma
Ashish Mishra
Anubha Pandey
H. Murthy
Piyush Rai
VLM
26
15
0
14 Nov 2020
Confusable Learning for Large-class Few-Shot Classification
Confusable Learning for Large-class Few-Shot Classification
B. Li
Bo Han
Zhuowei Wang
Jing Jiang
Guodong Long
16
2
0
06 Nov 2020
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