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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 Learning With No Labels
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
125
4
0
26 Dec 2020
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
Task-Adaptive Negative Envision for Few-Shot Open-Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Shiyuan Huang
Jiawei Ma
G. Han
Shih-Fu Chang
BDL
259
25
0
24 Dec 2020
Adversarial Meta Sampling for Multilingual Low-Resource Speech
  Recognition
Adversarial Meta Sampling for Multilingual Low-Resource Speech RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2020
Yubei Xiao
Ke Gong
Pan Zhou
Guolin Zheng
Xiaodan Liang
Liang Lin
148
35
0
22 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning
On Episodes, Prototypical Networks, and Few-shot LearningNeural Information Processing Systems (NeurIPS), 2020
Steinar Laenen
Luca Bertinetto
180
121
0
17 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Goran Frehse
OOD
225
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
3DHCVBM
382
85
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
159
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
83
8
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 TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Han-Jia Ye
Lu Han
De-Chuan Zhan
OffRLSSLVLM
138
36
0
30 Nov 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Multi-scale Adaptive Task Attention Network for Few-Shot LearningInternational Conference on Pattern Recognition (ICPR), 2020
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
152
32
0
30 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image ClassificationIEEE International Conference on Computer Vision (ICCV), 2020
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
271
87
0
24 Nov 2020
One Shot Learning for Speech Separation
One Shot Learning for Speech SeparationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Yuan-Kuei Wu
Kuan-Po Huang
Yu Tsao
Hung-yi Lee
VLM
134
8
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 SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2020
Soopil Kim
Sion An
Philip Chikontwe
Sang Hyun Park
121
46
0
19 Nov 2020
Towards Zero-Shot Learning with Fewer Seen Class Examples
Towards Zero-Shot Learning with Fewer Seen Class ExamplesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Vinay Kumar Verma
Ashish Mishra
Anubha Pandey
H. Murthy
Piyush Rai
VLM
172
17
0
14 Nov 2020
Confusable Learning for Large-class Few-Shot Classification
Confusable Learning for Large-class Few-Shot Classification
Bing Li
Bo Han
Zhuowei Wang
Jing Jiang
Guodong Long
128
3
0
06 Nov 2020
Learning to Learn Variational Semantic Memory
Learning to Learn Variational Semantic MemoryNeural Information Processing Systems (NeurIPS), 2020
Xiantong Zhen
Yingjun Du
Huan Xiong
Qiang Qiu
Cees G. M. Snoek
Ling Shao
SSLBDLVLMDRL
227
36
0
20 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences
Self-training for Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo
B. Hariharan
SSL
261
124
0
15 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
Günter Klambauer
Sepp Hochreiter
OOD
163
49
0
13 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2020
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
315
248
0
10 Oct 2020
Adaptive Self-training for Few-shot Neural Sequence Labeling
Adaptive Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang
Subhabrata Mukherjee
Haoda Chu
Yuancheng Tu
Ming Wu
Jing Gao
Ahmed Hassan Awadallah
VLM
140
35
0
07 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot
  Classification
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
Aoxiang Fan
Hieu M. Le
Mingzhen Huang
ShahRukh Athar
Dimitris Samaras
DRL
187
70
0
07 Oct 2020
MetaMix: Improved Meta-Learning with Interpolation-based Consistency
  Regularization
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization
Yangbin Chen
Yun Ma
Tom Ko
Jianping Wang
Qing Li
VLM
114
10
0
29 Sep 2020
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene
  classification
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification
Haifeng Li
Zhenqi Cui
Zhiqiang Zhu
Lixing Chen
Jiawei Zhu
Haozhe Huang
Chao Tao
136
100
0
28 Sep 2020
Interventional Few-Shot Learning
Interventional Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2020
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
338
253
0
28 Sep 2020
A Primal-Dual Subgradient Approachfor Fair Meta Learning
A Primal-Dual Subgradient Approachfor Fair Meta Learning
Chenxu Zhao
Feng Chen
Zhuoyi Wang
Latifur Khan
FaML
131
0
0
26 Sep 2020
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity
  Recognition with Multi-Domain Deep Learning Model
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning ModelIEEE Internet of Things Journal (IEEE IoT J.), 2020
Ling Pei
Songpengcheng Xia
Lei Chu
Fanyi Xiao
Qi Wu
Wenxian Yu
Zixuan Zhang
204
35
0
20 Sep 2020
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few SamplesPattern Recognition (Pattern Recognit.), 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
267
71
0
06 Sep 2020
Meta-Learning with Shared Amortized Variational Inference
Meta-Learning with Shared Amortized Variational InferenceInternational Conference on Machine Learning (ICML), 2020
E. Iakovleva
Jakob Verbeek
Alahari Karteek
OODFedMLBDL
133
25
0
27 Aug 2020
A Flexible Selection Scheme for Minimum-Effort Transfer Learning
A Flexible Selection Scheme for Minimum-Effort Transfer LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Amelie Royer
Christoph H. Lampert
117
17
0
27 Aug 2020
Transductive Information Maximization For Few-Shot Learning
Transductive Information Maximization For Few-Shot Learning
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
José Dolz
Pablo Piantanida
Ismail Ben Ayed
VLM
190
85
0
25 Aug 2020
Learning Models of Individual Behavior in Chess
Learning Models of Individual Behavior in Chess
Reid McIlroy-Young
Russell Wang
S. Sen
Jon M. Kleinberg
Ashton Anderson
243
18
0
23 Aug 2020
Leveraging Organizational Resources to Adapt Models to New Data
  Modalities
Leveraging Organizational Resources to Adapt Models to New Data Modalities
S. Suri
Raghuveer Chanda
Neslihan Bulut
P. Narayana
Yemao Zeng
Peter Bailis
Sugato Basu
G. Narlikar
Christopher Ré
Abishek Sethi
VLMOffRL
113
11
0
23 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning
BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh
Hyungjun Yoo
ChangHwan Kim
Seyoung Yun
170
9
0
20 Aug 2020
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and
  Novel-View Synthesis
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Zhipeng Bao
Yu-Xiong Wang
M. Hebert
141
11
0
16 Aug 2020
Few-shot Classification via Adaptive Attention
Few-shot Classification via Adaptive Attention
Zihang Jiang
Bingyi Kang
Kuangqi Zhou
Jiashi Feng
178
25
0
06 Aug 2020
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
Y. Hong
Li Niu
Jianfu Zhang
Weijie Zhao
Chenghan Fu
Liqing Zhang
GAN
179
94
0
05 Aug 2020
Learning from Few Samples: A Survey
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLMBDL
192
60
0
30 Jul 2020
Meta-Learning with Context-Agnostic Initialisations
Meta-Learning with Context-Agnostic InitialisationsAsian Conference on Computer Vision (ACCV), 2020
Toby Perrett
A. Masullo
T. Burghardt
Majid Mirmehdi
Dima Damen
CLL
109
2
0
29 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the
  Wild
Few-Shot Object Detection and Viewpoint Estimation for Objects in the WildIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yang Xiao
Vincent Lepetit
Renaud Marlet
3DPC
318
372
0
23 Jul 2020
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object
  Detection
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
Xianyu Chen
Ming Jiang
Qi Zhao
ObjD
165
14
0
23 Jul 2020
Complementing Representation Deficiency in Few-shot Image
  Classification: A Meta-Learning Approach
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
Zhuo Zhou
Cheng Gu
Wenxin Huang
Lin Li
Shuqin Chen
Chia-Wen Lin
SSL
124
13
0
21 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification
Explanation-Guided Training for Cross-Domain Few-Shot ClassificationInternational Conference on Pattern Recognition (ICPR), 2020
Jiamei Sun
Sebastian Lapuschkin
Wojciech Samek
Yunqing Zhao
Ngai-Man Cheung
Alexander Binder
227
107
0
17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta LearningIEEE Conference on High Performance Extreme Computing (HPEC), 2020
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
175
3
0
17 Jul 2020
Adaptive Task Sampling for Meta-Learning
Adaptive Task Sampling for Meta-LearningEuropean Conference on Computer Vision (ECCV), 2020
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Kun Zhang
Guosheng Lin
286
60
0
17 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Layer-Wise Adaptive Updating for Few-Shot Image ClassificationIEEE Signal Processing Letters (IEEE SPL), 2020
Yunxiao Qin
Weiguo Zhang
Zezheng Wang
Chenxu Zhao
Jingping Shi
135
8
0
16 Jul 2020
Top-Related Meta-Learning Method for Few-Shot Object Detection
Top-Related Meta-Learning Method for Few-Shot Object Detection
Qian Li
Nan Guo
Xiaochun Ye
Duo Wang
Xiaochun Ye
Zhimin Tang
ObjDVLM
124
0
0
14 Jul 2020
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot
  Classification
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification
Yucan Zhou
Yu Wang
Jianfei Cai
Yu Zhou
Q. Hu
Weiping Wang
VLM
127
12
0
13 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine
  Pseudo-Labeling with Visual-Semantic Meta-Embedding
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-EmbeddingACM Multimedia (ACM MM), 2020
Jinhai Yang
Han Yang
Lin Chen
126
20
0
11 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford
Aditya Kusupati
Keivan Alizadeh Vahid
Aaron Walsman
Aniruddha Kembhavi
Ali Farhadi
244
2
0
06 Jul 2020
Robustifying Sequential Neural Processes
Robustifying Sequential Neural Processes
Jaesik Yoon
Gautam Singh
Sungjin Ahn
150
26
0
29 Jun 2020
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