Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1812.02391
Cited By
v1
v2
v3 (latest)
Meta-Transfer Learning for Few-Shot Learning
6 December 2018
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Meta-Transfer Learning for Few-Shot Learning"
50 / 419 papers shown
Title
Few-shot Open-set Recognition Using Background as Unknowns
ACM Multimedia (ACM MM), 2022
Nan Song
Chi Zhang
Guosheng Lin
VLM
SSL
130
14
0
19 Jul 2022
Bayesian Evidential Learning for Few-Shot Classification
Xiongkun Linghu
Yan Bai
Yihang Lou
Shengsen Wu
Jinze Li
Jianzhong He
Tao Bai
BDL
EDL
UQCV
107
2
0
19 Jul 2022
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Bastian Alt
Darko Katic
Rainer Jäkel
Michael Beetz
135
6
0
15 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing
British Machine Vision Conference (BMVC), 2022
Ruizhao Zhu
Pengkai Zhu
Samarth Mishra
Venkatesh Saligrama
319
1
0
14 Jul 2022
Transferability-Guided Cross-Domain Cross-Task Transfer Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yang Tan
Enming Zhang
Yang Li
Shao-Lun Huang
Xiaoping Zhang
OT
280
17
0
12 Jul 2022
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation
Transactions of the Association for Computational Linguistics (TACL), 2022
Zejiang Hou
Julian Salazar
George Polovets
166
20
0
07 Jul 2022
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning
Agus Gunawan
Muhammad Adi Nugroho
Se Jin Park
OOD
105
4
0
05 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
ACM Multimedia (ACM MM), 2022
Bo Zhang
Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
Ding Wang
ViT
244
40
0
02 Jul 2022
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer
Xiaoliang Liu
S. Furao
Jian Zhao
Changhai Nie
AAML
CVBM
153
7
0
25 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Neural Information Processing Systems (NeurIPS), 2022
Massimiliano Patacchiola
J. Bronskill
Aliaksandra Shysheya
Katja Hofmann
Sebastian Nowozin
Richard Turner
VLM
311
12
0
20 Jun 2022
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking
Journal of Visual Communication and Image Representation (JVCIR), 2022
Yijing Yang
Hongyu Fu
C.-C. Jay Kuo
OOD
167
12
0
18 Jun 2022
Zero-Shot AutoML with Pretrained Models
International Conference on Machine Learning (ICML), 2022
Ekrem Öztürk
Fabio Ferreira
H. Jomaa
Lars Schmidt-Thieme
Josif Grabocka
Katharina Eggensperger
VLM
236
17
0
16 Jun 2022
Deep Learning and Handheld Augmented Reality Based System for Optimal Data Collection in Fault Diagnostics Domain
Ryan D. Nguyen
Rahul Rai
108
0
0
15 Jun 2022
NatGen: Generative pre-training by "Naturalizing" source code
Saikat Chakraborty
Toufique Ahmed
Yangruibo Ding
Prem Devanbu
Baishakhi Ray
AI4CE
239
141
0
15 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
Neural Information Processing Systems (NeurIPS), 2022
Markus Hiller
Mehrtash Harandi
Tom Drummond
AI4CE
136
9
0
15 Jun 2022
Learning to generate imaginary tasks for improving generalization in meta-learning
Yichen Wu
Long-Kai Huang
Ying Wei
OOD
104
0
0
09 Jun 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification
Zaiyun Yang
VLM
DRL
163
1
0
30 May 2022
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
Knowledge Discovery and Data Mining (KDD), 2022
Bin Lu
Xiaoying Gan
Weinan Zhang
Huaxiu Yao
Luoyi Fu
Xinbing Wang
AI4TS
236
98
0
27 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
International Conference on Learning Representations (ICLR), 2022
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
296
185
0
26 May 2022
Meta Balanced Network for Fair Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mei Wang
Yaobin Zhang
Weihong Deng
CVBM
133
90
0
13 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen
Lauri Lovén
Naser Hossein Motlagh
Abhishek Kumar
Juha Partala
...
M. Bennis
Sasu Tarkoma
Schahram Dustdar
Susanna Pirttikangas
J. Riekki
306
34
0
03 May 2022
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models
IEEE Computational Intelligence Magazine (IEEE CIM), 2022
Han Xiang Choong
Yew-Soon Ong
Abhishek Gupta
Caishun Chen
Ray Lim
128
8
0
02 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
170
6
0
26 Apr 2022
Meta Transfer Learning for Early Success Prediction in MOOCs
ACM Conference on Learning @ Scale (L@S), 2022
Vinitra Swamy
Mirko Marras
Tanja Käser
AI4Ed
130
23
0
25 Apr 2022
Learning Compositional Representations for Effective Low-Shot Generalization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Samarth Mishra
Pengkai Zhu
Venkatesh Saligrama
OCL
177
4
0
17 Apr 2022
Matching Feature Sets for Few-Shot Image Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
226
91
0
02 Apr 2022
Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting
Interspeech (Interspeech), 2022
Yanghua Xiao
Nana Hou
Eng Siong Chng
CLL
181
17
0
30 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation
Computer Vision and Pattern Recognition (CVPR), 2022
Dahyun Kang
Minsu Cho
VLM
211
73
0
29 Mar 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR
Computer Vision and Pattern Recognition (CVPR), 2022
Aneeshan Sain
A. Bhunia
Vaishnav Potlapalli
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
VLM
251
63
0
28 Mar 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Deepshikha Pandey
Qi Yu
UQCV
131
14
0
23 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Marcin Sendera
Marcin Przewiȩźlikowski
Konrad Karanowski
Maciej Ziȩba
Jacek Tabor
Przemysław Spurek
VLM
210
36
0
21 Mar 2022
Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural Networks
Hanqing Sun
Hyun Ahn
Hyungyu Lee
Injung Kim
107
0
0
20 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer
European Conference on Computer Vision (ECCV), 2022
Bowen Dong
Pan Zhou
Shuicheng Yan
W. Zuo
ViT
137
50
0
14 Mar 2022
Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems
C. Nivarthi
102
3
0
09 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
271
243
0
07 Mar 2022
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users
International Conference on Human Factors in Computing Systems (CHI), 2022
D. Jain
Khoa Nguyen
Steven M. Goodman
Rachel Grossman-Kahn
Hung Ngo
Aditya Kusupati
Ruofei Du
A. Olwal
Leah Findlater
Jon E. Froehlich
134
42
0
22 Feb 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
117
1
0
17 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yadan Luo
Zijian Wang
Zhuoxiao Chen
Zi Huang
Mahsa Baktashmotlagh
AI4CE
215
43
0
13 Feb 2022
Similarity Learning based Few Shot Learning for ECG Time Series Classification
International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2021
Priyanka Gupta
Sathvik Bhaskarpandit
Manik Gupta
80
20
0
31 Jan 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
International Conference on Machine Learning (ICML), 2022
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
156
5
0
30 Jan 2022
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization
Bingchao Chen
Ronald Y. Chang
100
19
0
29 Jan 2022
Progressive Continual Learning for Spoken Keyword Spotting
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Yizheng Huang
Nana Hou
Nancy F. Chen
CLL
230
18
0
29 Jan 2022
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
181
128
0
15 Jan 2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
Yuying Ge
Yibing Song
Ruimao Zhang
Ping Luo
VGen
DiffM
122
0
0
13 Jan 2022
On the Role of Neural Collapse in Transfer Learning
International Conference on Learning Representations (ICLR), 2021
Tomer Galanti
András Gyorgy
Marcus Hutter
SSL
238
106
0
30 Dec 2021
Associative Adversarial Learning Based on Selective Attack
Runqi Wang
Xiaoyue Duan
Baochang Zhang
Shenjun Xue
Wentao Zhu
David Doermann
G. Guo
AAML
260
0
0
28 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Bingbin Li
E. Cui
Yanan Li
Donghui Wang
Weng Kee Wong
171
1
0
23 Dec 2021
DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images
Youngoh Bang
Simon S. Woo
AAML
CVBM
93
9
0
22 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLM
BDL
299
21
0
15 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu
Sen He
Yi-Zhe Song
Tao Xiang
92
70
0
13 Dec 2021
Previous
1
2
3
4
5
6
7
8
9
Next