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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
Shaping Visual Representations with Attributes for Few-Shot Recognition
Shaping Visual Representations with Attributes for Few-Shot Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
348
8
0
13 Dec 2021
Learning from the Tangram to Solve Mini Visual Tasks
Learning from the Tangram to Solve Mini Visual Tasks
Yizhou Zhao
Liang Qiu
Pan Lu
Feng Shi
Tian Han
Song-Chun Zhu
199
5
0
12 Dec 2021
Label Hallucination for Few-Shot Classification
Label Hallucination for Few-Shot ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2021
Yiren Jian
Lorenzo Torresani
243
46
0
06 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection
  from a Few Samples
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few SamplesIEEE Transactions on Image Processing (TIP), 2021
Yuying Ge
Ruimao Zhang
Ping Luo
160
8
0
06 Dec 2021
Neural Photometry-guided Visual Attribute Transfer
Neural Photometry-guided Visual Attribute TransferIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Carlos Rodriguez-Pardo
Elena Garces
159
10
0
05 Dec 2021
ModelPred: A Framework for Predicting Trained Model from Training Data
ModelPred: A Framework for Predicting Trained Model from Training Data
Yingyan Zeng
Jiachen T. Wang
Si-An Chen
H. Just
Ran Jin
R. Jia
TDIMU
242
4
0
24 Nov 2021
Sharing to learn and learning to share; Fitting together Meta-Learning,
  Multi-Task Learning, and Transfer Learning: A meta review
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
CLL
421
5
0
23 Nov 2021
Learning Neural Models for Continuous-Time Sequences
Learning Neural Models for Continuous-Time Sequences
Vinayak Gupta
AI4TS
71
1
0
13 Nov 2021
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
159
12
0
09 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by
  Finding Flat Minima
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat MinimaNeural Information Processing Systems (NeurIPS), 2021
Guangyuan Shi
Jiaxin Chen
Wenlong Zhang
Li-Ming Zhan
Xiao-Ming Wu
CLL
393
189
0
30 Oct 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human
  Activity Recognition
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity RecognitionACM International Conference on Embedded Networked Sensor Systems (SenSys), 2020
Shuya Ding
Zhe Chen
Tianyue Zheng
Jun Luo
119
127
0
29 Oct 2021
Simultaneous Perturbation Method for Multi-Task Weight Optimization in
  One-Shot Meta-Learning
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-LearningInternational Conference on Neural Information Processing (ICONIP), 2021
Andrei Boiarov
K. Khabarlak
Igor Yastrebov
289
2
0
25 Oct 2021
Towards A Conceptually Simple Defensive Approach for Few-shot
  classifiers Against Adversarial Support Samples
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
Y. Tan
Penny Chong
Jiamei Sun
Ngai-Man Cheung
Yuval Elovici
Alexander Binder
AAML
148
0
0
24 Oct 2021
On Hard Episodes in Meta-Learning
On Hard Episodes in Meta-Learning
S. Basu
Amr Sharaf
Nicolò Fusi
Soheil Feizi
150
1
0
21 Oct 2021
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
Deep Learning for HDR Imaging: State-of-the-Art and Future TrendsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Lin Wang
Kuk-Jin Yoon
290
106
0
20 Oct 2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of
  Virtual Car Renderings in the Automotive Industry
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry
Patrick Hemmer
Niklas Kühl
Jakob Schöffer
104
5
0
18 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
  Learning
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
282
15
0
14 Oct 2021
HumBugDB: A Large-scale Acoustic Mosquito Dataset
HumBugDB: A Large-scale Acoustic Mosquito Dataset
Ivan Kiskin
Marianne E. Sinka
Adam D. Cobb
Waqas Rafique
Lawrence Wang
...
E. Kaindoa
G. Killeen
Eva Herreros-Moya
Katherine J. Willis
Stephen J. Roberts
172
37
0
14 Oct 2021
Decomposing Convolutional Neural Networks into Reusable and Replaceable
  Modules
Decomposing Convolutional Neural Networks into Reusable and Replaceable ModulesInternational Conference on Software Engineering (ICSE), 2021
Rangeet Pan
Hridesh Rajan
MoMe
163
37
0
11 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
347
748
0
09 Oct 2021
One Representative-Shot Learning Using a Population-Driven Template with
  Application to Brain Connectivity Classification and Evolution Prediction
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction
Umut Guvercin
Mohammed Amine Gharsallaoui
I. Rekik
150
7
0
06 Oct 2021
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning
Cat P. Le
Juncheng Dong
Mohammadreza Soltani
Vahid Tarokh
260
12
0
05 Oct 2021
MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel
  Weighting
MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel Weighting
Yiren Jian
Chongyang Gao
214
4
0
05 Oct 2021
Transferability Estimation for Semantic Segmentation Task
Transferability Estimation for Semantic Segmentation Task
Yang Tan
Yang Li
Shao-Lun Huang
224
3
0
30 Sep 2021
Partner-Assisted Learning for Few-Shot Image Classification
Partner-Assisted Learning for Few-Shot Image Classification
Jiawei Ma
Hanchen Xie
G. Han
Shih-Fu Chang
Aram Galstyan
Wael AbdAlmageed
VLM
176
76
0
15 Sep 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot
  Learning
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
Fangqiu Yi
Henghui Ding
Guosheng Lin
Ruibo Li
Changhu Wang
Chunhua Shen
252
47
0
13 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
...
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
VLM
381
82
0
10 Sep 2021
Improving Deep Metric Learning by Divide and Conquer
Improving Deep Metric Learning by Divide and ConquerIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
223
17
0
09 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant
  Analysis
Few-shot Learning via Dependency Maximization and Instance Discriminant AnalysisInternational Workshop on Machine Learning for Signal Processing (MLSP), 2021
Zejiang Hou
S. Kung
100
1
0
07 Sep 2021
Iterative Pseudo-Labeling with Deep Feature Annotation and
  Confidence-Based Sampling
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based SamplingSIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2021
B. C. Benato
A. Telea
A. X. Falcão
86
14
0
06 Sep 2021
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal
  Mitochondria Analysis
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis
Junyoung Choi
Hak-jae Lee
Suyeon Kim
Seok-Kyu Kwon
Won-Ki Jeong
35
3
0
03 Sep 2021
Binocular Mutual Learning for Improving Few-shot Classification
Binocular Mutual Learning for Improving Few-shot ClassificationIEEE International Conference on Computer Vision (ICCV), 2021
Ziqi Zhou
Xi Qiu
Jiangtao Xie
Jianan Wu
Fangqiu Yi
SSL
179
93
0
27 Aug 2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot
  Slot Tagging
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot TaggingInternational Joint Conference on Natural Language Processing (IJCNLP), 2021
Hongru Wang
Zezhong Wang
Gabriel Pui Cheong Fung
Kam-Fai Wong
OffRLCLL
255
11
0
26 Aug 2021
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot ClassificationIEEE International Conference on Computer Vision (ICCV), 2021
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
247
238
0
22 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Limeng Qiao
Yuxuan Zhao
Zhiyuan Li
Xi Qiu
Jianan Wu
Fangqiu Yi
ObjD
214
265
0
20 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse
  Similarity Encoding
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity EncodingACM Multimedia (ACM MM), 2021
Sheng Huang
Wanqi Yang
Lei Wang
Luping Zhou
Ming Yang
120
12
0
06 Aug 2021
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning
Ada-VSR: Adaptive Video Super-Resolution with Meta-LearningACM Multimedia (ACM MM), 2021
Akash Gupta
P. Jonnalagedda
B. Bhanu
Amit K. Roy-Chowdhury
119
7
0
05 Aug 2021
Few-Shot Domain Adaptation For End-to-End Communication
Few-Shot Domain Adaptation For End-to-End Communication
Jayaram Raghuram
Yijing Zeng
Dolores García
R. Ruiz
S. Jha
Joerg Widmer
Suman Banerjee
147
7
0
02 Aug 2021
Few-shot calibration of low-cost air pollution (PM2.5) sensors using
  meta-learning
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learning
Kalpit Yadav
Vipul Arora
S. Tripathi
Mohit Kumar
Karansingh A. Rajput
54
18
0
02 Aug 2021
Benign Adversarial Attack: Tricking Models for Goodness
Benign Adversarial Attack: Tricking Models for GoodnessACM Multimedia (ACM MM), 2021
Jitao Sang
Xian Zhao
Jiaming Zhang
Zhiyu Lin
AAMLSILM
134
3
0
26 Jul 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning
A Transductive Maximum Margin Classifier for Few-Shot Learning
Fei Pan
Chunlei Xu
Jie Guo
Yanwen Guo
203
0
0
26 Jul 2021
External-Memory Networks for Low-Shot Learning of Targets in
  Forward-Looking-Sonar Imagery
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery
I. Sledge
Christopher Toole
J. Maestri
José C. Príncipe
213
1
0
22 Jul 2021
Multi-Level Contrastive Learning for Few-Shot Problems
Multi-Level Contrastive Learning for Few-Shot ProblemsSocial Science Research Network (SSRN), 2021
Qing Chen
Jian Zhang
186
6
0
15 Jul 2021
Unsupervised Anomaly Instance Segmentation for Baggage Threat
  Recognition
Unsupervised Anomaly Instance Segmentation for Baggage Threat RecognitionJournal of Ambient Intelligence and Humanized Computing (JAIHC), 2021
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
Naoufel Werghi
168
36
0
15 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation
Few-shot Learning with Global Relatedness Decoupled-Distillation
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Zhen junzha
Meng Wang
280
1
0
12 Jul 2021
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual
  Network for the DiCOVA Challenge 2021
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021
Jiangeng Chang
Shaoze Cui
Mengling Feng
157
6
0
11 Jul 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and
  Partial Modality Absent Few-Shot Learning
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Yi Zhang
Sheng Huang
Xiao-song Peng
Dan Yang
189
9
0
28 Jun 2021
SITTA: Single Image Texture Translation for Data Augmentation
SITTA: Single Image Texture Translation for Data Augmentation
Boyi Li
Huayu Chen
Nayeon Lee
Serge Belongie
127
5
0
25 Jun 2021
Mutual-Information Based Few-Shot Classification
Mutual-Information Based Few-Shot Classification
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Pablo Piantanida
VLM
159
2
0
23 Jun 2021
Multi-accent Speech Separation with One Shot Learning
Multi-accent Speech Separation with One Shot Learning
Kuan-Po Huang
Yuan-Kuei Wu
Hung-yi Lee
188
4
0
22 Jun 2021
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