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Meta-Transfer Learning for Few-Shot Learning
v1v2v3 (latest)

Meta-Transfer Learning for Few-Shot Learning

6 December 2018
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
ArXiv (abs)PDFHTML

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

50 / 419 papers shown
Title
Few-shot Open-set Recognition Using Background as Unknowns
Few-shot Open-set Recognition Using Background as UnknownsACM Multimedia (ACM MM), 2022
Nan Song
Chi Zhang
Guosheng Lin
VLMSSL
130
14
0
19 Jul 2022
Bayesian Evidential Learning for Few-Shot Classification
Bayesian Evidential Learning for Few-Shot Classification
Xiongkun Linghu
Yan Bai
Yihang Lou
Shengsen Wu
Jinze Li
Jianzhong He
Tao Bai
BDLEDLUQCV
107
2
0
19 Jul 2022
Heuristic-free Optimization of Force-Controlled Robot Search Strategies
  in Stochastic Environments
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic EnvironmentsIEEE/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
Fine-grained Few-shot Recognition by Deep Object ParsingBritish 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
Transferability-Guided Cross-Domain Cross-Task Transfer LearningIEEE 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
Meta-Learning the Difference: Preparing Large Language Models for Efficient AdaptationTransactions 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
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
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image ClassificationACM 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
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer
Xiaoliang Liu
S. Furao
Jian Zhao
Changhai Nie
AAMLCVBM
153
7
0
25 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image
  Classification
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image ClassificationNeural 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
Design of Supervision-Scalable Learning Systems: Methodology and Performance BenchmarkingJournal 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
Zero-Shot AutoML with Pretrained ModelsInternational 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
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
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
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot AdaptationNeural 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
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
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification
Zaiyun Yang
VLMDRL
163
1
0
30 May 2022
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge
  Transfer
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge TransferKnowledge 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
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental LearningInternational 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
Meta Balanced Network for Fair Face RecognitionIEEE 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
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
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained ModelsIEEE 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
Meta-free few-shot learning via representation learning with weight averagingIEEE 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
Meta Transfer Learning for Early Success Prediction in MOOCsACM 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
Learning Compositional Representations for Effective Low-Shot GeneralizationIEEE 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
Matching Feature Sets for Few-Shot Image ClassificationComputer 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
Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword SpottingInterspeech (Interspeech), 2022
Yanghua Xiao
Nana Hou
Eng Siong Chng
CLL
181
17
0
30 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation
Integrative Few-Shot Learning for Classification and SegmentationComputer 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
Sketch3T: Test-Time Training for Zero-Shot SBIRComputer 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
Multidimensional Belief Quantification for Label-Efficient Meta-LearningComputer Vision and Pattern Recognition (CVPR), 2022
Deepshikha Pandey
Qi Yu
UQCV
131
14
0
23 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
HyperShot: Few-Shot Learning by Kernel HyperNetworksIEEE 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
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
Self-Promoted Supervision for Few-Shot TransformerEuropean 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
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
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
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing UsersInternational 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
Semantically Proportional Patchmix for Few-Shot LearningIEEE 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
Source-Free Progressive Graph Learning for Open-Set Domain AdaptationIEEE 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
Similarity Learning based Few Shot Learning for ECG Time Series ClassificationInternational 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
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual InformationInternational 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
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
Progressive Continual Learning for Spoken Keyword SpottingIEEE 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
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
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
Yuying Ge
Yibing Song
Ruimao Zhang
Ping Luo
VGenDiffM
122
0
0
13 Jan 2022
On the Role of Neural Collapse in Transfer Learning
On the Role of Neural Collapse in Transfer LearningInternational 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
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
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
DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images
Youngoh Bang
Simon S. Woo
AAMLCVBM
93
9
0
22 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLMBDL
299
21
0
15 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu
Sen He
Yi-Zhe Song
Tao Xiang
92
70
0
13 Dec 2021
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