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Few-Shot Learning Through an Information Retrieval Lens
v1v2 (latest)

Few-Shot Learning Through an Information Retrieval Lens

9 July 2017
Eleni Triantafillou
R. Zemel
R. Urtasun
ArXiv (abs)PDFHTML

Papers citing "Few-Shot Learning Through an Information Retrieval Lens"

50 / 117 papers shown
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learningIEEE International Conference on Computer Vision (ICCV), 2020
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
428
73
0
14 Dec 2020
Extended Few-Shot Learning: Exploiting Existing Resources for Novel
  Tasks
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
Reza Esfandiarpoor
Amy Pu
M. Hajabdollahi
Stephen H. Bach
CLL
177
7
0
13 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
195
36
0
30 Nov 2020
RNNP: A Robust Few-Shot Learning Approach
RNNP: A Robust Few-Shot Learning ApproachIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Pratik Mazumder
Pravendra Singh
Vinay P. Namboodiri
NoLa
98
19
0
22 Nov 2020
Combining Domain-Specific Meta-Learners in the Parameter Space for
  Cross-Domain Few-Shot Classification
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification
Shuman Peng
Weilian Song
Martin Ester
133
3
0
31 Oct 2020
Representation Learning from Limited Educational Data with Crowdsourced
  Labels
Representation Learning from Limited Educational Data with Crowdsourced LabelsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Wentao Wang
Guowei Xu
Wenbiao Ding
Gale Yan Huang
Guoliang Li
Shucheng Zhou
Zitao Liu
SSL
206
14
0
23 Sep 2020
Proxy Network for Few Shot Learning
Proxy Network for Few Shot LearningAsian Conference on Machine Learning (ACML), 2020
Bin Xiao
Chien-Liang Liu
W. Hsaio
109
6
0
09 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
322
78
0
06 Sep 2020
Few-Shot Learning with Intra-Class Knowledge Transfer
Few-Shot Learning with Intra-Class Knowledge Transfer
Vivek Roy
Yan Xu
Yu-Xiong Wang
Kris Kitani
Ruslan Salakhutdinov
M. Hebert
VLM
151
4
0
22 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning
Cooperative Bi-path Metric for Few-shot LearningACM Multimedia (ACM MM), 2020
Zeyuan Wang
Yifan Zhao
Jia Li
Yonghong Tian
141
38
0
10 Aug 2020
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot RecognitionACM Multimedia (ACM MM), 2020
Yixiong Zou
Shanghang Zhang
Jianpeng Yu
Yonghong Tian
José M. F. Moura
174
18
0
07 Aug 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
199
3
0
17 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot
  Learning
How to trust unlabeled data? Instance Credibility Inference for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yikai Wang
Li Zhang
Xingtai Lv
Yanwei Fu
305
54
0
15 Jul 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A ReviewProceedings of the IEEE (Proc. IEEE), 2020
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OODHAI
203
126
0
12 Jun 2020
Compositional Few-Shot Recognition with Primitive Discovery and
  Enhancing
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing
Yixiong Zou
Shanghang Zhang
Ke Chen
Yonghong Tian
Yaowei Wang
J. M. F. Moura
171
32
0
12 May 2020
Crossing Variational Autoencoders for Answer Retrieval
Crossing Variational Autoencoders for Answer RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Wenhao Yu
Lingfei Wu
Qingkai Zeng
S. Tao
Yu Deng
Meng Jiang
DRLRALMOODBDL
225
16
0
06 May 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLMOffRL
445
40
0
17 Apr 2020
Instance Credibility Inference for Few-Shot Learning
Instance Credibility Inference for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2020
Yikai Wang
C. Xu
Chen Liu
Li Zhang
Yanwei Fu
189
183
0
26 Mar 2020
Pre-training Tasks for Embedding-based Large-scale Retrieval
Pre-training Tasks for Embedding-based Large-scale RetrievalInternational Conference on Learning Representations (ICLR), 2020
Wei-Cheng Chang
Felix X. Yu
Yin-Wen Chang
Yiming Yang
Sanjiv Kumar
RALM
220
318
0
10 Feb 2020
Revisiting Meta-Learning as Supervised Learning
Revisiting Meta-Learning as Supervised Learning
Wei-Lun Chao
Han-Jia Ye
De-Chuan Zhan
M. Campbell
Kilian Q. Weinberger
OODFedML
163
24
0
03 Feb 2020
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A SurveyData mining and knowledge discovery (DMKD), 2019
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
Philip S. Yu
GNN
226
90
0
25 Dec 2019
A Probabilistic approach for Learning Embeddings without Supervision
A Probabilistic approach for Learning Embeddings without Supervision
U. Dutta
Mehrtash Harandi
C. Sekhar
SSL
186
0
0
17 Dec 2019
A Two-Stage Approach to Few-Shot Learning for Image Recognition
A Two-Stage Approach to Few-Shot Learning for Image RecognitionIEEE Transactions on Image Processing (TIP), 2019
Debasmit Das
C. S. George Lee
191
136
0
10 Dec 2019
Continual egocentric object recognition
Continual egocentric object recognitionEuropean Conference on Artificial Intelligence (ECAI), 2019
L. Erculiani
Fausto Giunchiglia
Baptiste Caramiaux
CLLEgoV
117
14
0
06 Dec 2019
Instance Cross Entropy for Deep Metric Learning
Instance Cross Entropy for Deep Metric Learning
Xinshao Wang
Elyor Kodirov
Yang Hua
N. Robertson
131
5
0
22 Nov 2019
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures
  for Real-world Verification
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world VerificationAAAI Conference on Artificial Intelligence (AAAI), 2019
Songxuan Lai
Lianwen Jin
Luojun Lin
Yecheng Zhu
Huiyun Mao
96
31
0
13 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot
  Learning
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
Yan Wang
Wei-Lun Chao
Kilian Q. Weinberger
Laurens van der Maaten
VLM
262
373
0
12 Nov 2019
Learning One-Shot Imitation from Humans without Humans
Learning One-Shot Imitation from Humans without HumansIEEE Robotics and Automation Letters (RA-L), 2019
Alessandro Bonardi
Stephen James
Andrew J. Davison
236
87
0
04 Nov 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Transductive Episodic-Wise Adaptive Metric for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2019
Limeng Qiao
Yemin Shi
Jia Li
Yaowei Wang
Tiejun Huang
Yonghong Tian
201
193
0
05 Oct 2019
Stochastic Prototype Embeddings
Stochastic Prototype Embeddings
Tyler R. Scott
Karl Ridgeway
Michael C. Mozer
BDLUQCV
183
14
0
25 Sep 2019
Few-Shot Learning with Global Class Representations
Few-Shot Learning with Global Class RepresentationsIEEE International Conference on Computer Vision (ICCV), 2019
Tiange Luo
Aoxue Li
Tao Xiang
Weiran Huang
Liwei Wang
220
117
0
14 Aug 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Few-Shot Object Detection with Attention-RPN and Multi-Relation DetectorComputer Vision and Pattern Recognition (CVPR), 2019
Qi Fan
Wei Zhuo
Chi-Keung Tang
Yu-Wing Tai
ObjD
341
603
0
06 Aug 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in AtariNeural Information Processing Systems (NeurIPS), 2019
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
512
269
0
19 Jun 2019
Learning Predicates as Functions to Enable Few-shot Scene Graph
  Prediction
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction
Apoorva Dornadula
Austin Narcomey
Ranjay Krishna
Michael S. Bernstein
Li Fei-Fei
OCL
117
3
0
12 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot LearningInternational Journal of Computer Vision (IJCV), 2019
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
283
64
0
07 Jun 2019
One-Shot Texture Retrieval with Global Context Metric
One-Shot Texture Retrieval with Global Context MetricInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Kai Zhu
Wei Zhai
Zhengjun Zha
Yang Cao
3DV
174
6
0
16 May 2019
Hierarchically Structured Meta-learning
Hierarchically Structured Meta-learningInternational Conference on Machine Learning (ICML), 2019
Huaxiu Yao
Ying Wei
Junzhou Huang
Ruoyao Xiao
193
218
0
13 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
541
1,995
0
10 Apr 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
238
354
0
03 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot
  Learning
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li
Lei Wang
Jinglin Xu
Jing Huo
Yang Gao
Jiebo Luo
258
554
0
28 Mar 2019
Ranked List Loss for Deep Metric Learning
Ranked List Loss for Deep Metric Learning
Xinshao Wang
Yang Hua
Elyor Kodirov
N. Robertson
625
268
0
08 Mar 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
192
10
0
18 Dec 2018
Reconciling meta-learning and continual learning with online mixtures of
  tasks
Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel
Erin Grant
Thomas Griffiths
Katherine A. Heller
FedMLCLLBDL
378
12
0
14 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
454
767
0
10 Dec 2018
One-Shot Instance Segmentation
One-Shot Instance Segmentation
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
ISeg
247
96
0
28 Nov 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and
  Competitive Learning
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning
Zhiwu Lu
Jiechao Guan
Aoxue Li
Tao Xiang
An Zhao
Ji-Rong Wen
134
68
0
19 Oct 2018
Transferrable Feature and Projection Learning with Class Hierarchy for
  Zero-Shot Learning
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning
Aoxue Li
Zhiwu Lu
Jiechao Guan
Tao Xiang
Liwei Wang
Ji-Rong Wen
VLM
113
21
0
19 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning
Task-Embedded Control Networks for Few-Shot Imitation Learning
Stephen James
Michael Bloesch
Andrew J. Davison
174
145
0
08 Oct 2018
Open-Ended Content-Style Recombination Via Leakage Filtering
Open-Ended Content-Style Recombination Via Leakage Filtering
Karl Ridgeway
Michael C. Mozer
DRLVLM
94
2
0
28 Sep 2018
Deep Learning in Information Security
Deep Learning in Information Security
S. Thaler
Vlado Menkovski
M. Petković
141
10
0
12 Sep 2018
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