Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1707.02610
Cited By
v1
v2 (latest)
Few-Shot Learning Through an Information Retrieval Lens
9 July 2017
Eleni Triantafillou
R. Zemel
R. Urtasun
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Few-Shot Learning Through an Information Retrieval Lens"
50 / 117 papers shown
In-Context Learning with Iterative Demonstration Selection
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
486
76
0
31 Dec 2024
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning
Neural Networks (NN), 2024
Dunwei Tu
Huiyu Yi
T. Zhang
Ruotong Li
Jian Zhao
Furao Shen
CLL
309
0
0
14 Nov 2024
Detect an Object At Once without Fine-tuning
Junyu Hao
Jianheng Liu
Yongjia Zhao
Zuofan Chen
Qi Sun
Jinlong Chen
Jianguo Wei
Minghao Yang
ObjD
309
1
0
04 Nov 2024
Unleash the Power of Local Representations for Few-Shot Classification
Shi Tang
Guiming Luo
Xinchen Ye
Zhiyi Xia
234
1
0
02 Jul 2024
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning
Maofa Wang
Bingchen Yan
226
0
0
24 Jan 2024
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
Chengwei Qin
Wenhan Xia
Fangkai Jiao
Chen Chen
Yuchen Hu
Bosheng Ding
R. Chen
Shafiq Joty
362
7
0
28 Dec 2023
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang
Aly A. Khan
Yuxin Chen
Robert L. Grossman
270
0
0
09 Nov 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yifan Zhao
Tong Zhang
Jia Li
Yonghong Tian
177
35
0
18 Jun 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Zeyin Song
Yifan Zhao
Yujun Shi
Peixi Peng
Liuliang Yuan
Yonghong Tian
CLL
237
102
0
02 Apr 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Chengwei Qin
Cunliang Kong
Ruochen Zhao
Shafiq Joty
VLM
LRM
372
17
0
16 Feb 2023
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Zhong Yuan
Zhenkun Wang
Genghui Li
OOD
217
1
0
05 Dec 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Asian Conference on Computer Vision (ACCV), 2022
Deunsol Jung
Dahyun Kang
Suha Kwak
Minsu Cho
CLL
142
13
0
14 Nov 2022
CobNet: Cross Attention on Object and Background for Few-Shot Segmentation
International Conference on Pattern Recognition (ICPR), 2022
Haoyan Guan
Michael W. Spratling
198
0
0
21 Oct 2022
Continual Training of Language Models for Few-Shot Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zixuan Ke
Haowei Lin
Yijia Shao
Hu Xu
Lei Shu
Yinan Han
KELM
BDL
CLL
258
41
0
11 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
British Machine Vision Conference (BMVC), 2022
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
199
4
0
05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection
ACM Multimedia (ACM MM), 2022
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
326
13
0
05 Oct 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning
International Conference on Neural Information Processing (ICONIP), 2022
Jianpeng Yang
Yuhang Niu
Xuemei Xie
G. Shi
201
1
0
20 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
International Conference on Machine Learning (ICML), 2022
Konstantinos Kalais
S. Chatzis
BDL
259
9
0
02 Aug 2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
European Conference on Computer Vision (ECCV), 2022
Xinyu Shi
Dong Wei
Yu Zhang
Donghuan Lu
Munan Ning
Jiashun Chen
Kai Ma
Yefeng Zheng
175
142
0
18 Jul 2022
Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations
Nurendra Choudhary
Chandan K. Reddy
115
5
0
07 Jun 2022
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yanmeng Wang
Jun Bai
Ye Wang
Jianfei Zhang
Wenge Rong
Zongcheng Ji
Shaojun Wang
Jing Xiao
RALM
132
12
0
07 Jun 2022
What GPT Knows About Who is Who
First Workshop on Insights from Negative Results in NLP (IFNRN), 2022
Xiaohan Yang
Eduardo Peynetti
Vasco Meerman
Christy Tanner
266
16
0
16 May 2022
Retrieval-Enhanced Machine Learning
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Hamed Zamani
Fernando Diaz
Mostafa Dehghani
Donald Metzler
Michael Bendersky
166
59
0
02 May 2022
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Pan Li
Yanwei Fu
S. Gong
96
0
0
28 Mar 2022
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Chengwei Qin
Shafiq Joty
BDL
CLL
232
44
0
04 Mar 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
112
20
0
31 Jan 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLM
BDL
327
21
0
15 Dec 2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning
European Conference on Computer Vision (ECCV), 2021
Rongkai Ma
Pengfei Fang
Gilat Avraham
Yan Zuo
Tianyu Zhu
Tom Drummond
Mehrtash Harandi
VLM
158
15
0
07 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples
IEEE Transactions on Image Processing (TIP), 2021
Yuying Ge
Ruimao Zhang
Ping Luo
160
9
0
06 Dec 2021
Ranking Distance Calibration for Cross-Domain Few-Shot Learning
Pan Li
S. Gong
Chengjie Wang
Yanwei Fu
249
49
0
01 Dec 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
248
19
0
30 Oct 2021
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning
Uche M. Osahor
Nasser M. Nasrabadi
145
14
0
18 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Shafiq Joty
CLL
408
122
0
14 Oct 2021
Morphable Detector for Object Detection on Demand
IEEE International Conference on Computer Vision (ICCV), 2021
Xiangyun Zhao
Xu Zou
Ying Nian Wu
ObjD
209
4
0
10 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari
Ehsan Saleh
David A. Forsyth
Yu-Xiong Wang
306
13
0
06 Oct 2021
Learning by Examples Based on Multi-level Optimization
Shentong Mo
P. Xie
176
0
0
22 Sep 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
Sai Vidyaranya Nuthalapati
Anirudh Tunga
149
49
0
21 Sep 2021
Binocular Mutual Learning for Improving Few-shot Classification
IEEE International Conference on Computer Vision (ICCV), 2021
Ziqi Zhou
Xi Qiu
Jiangtao Xie
Jianan Wu
Fangqiu Yi
SSL
179
93
0
27 Aug 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Neural Information Processing Systems (NeurIPS), 2021
Timo Milbich
Karsten Roth
Samarth Sinha
Ludwig Schmidt
Marzyeh Ghassemi
Bjorn Ommer
OOD
OODD
294
24
0
20 Jul 2021
Few-Shot Learning with a Strong Teacher
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
275
70
0
01 Jul 2021
Contextualizing Meta-Learning via Learning to Decompose
Han-Jia Ye
Da-Wei Zhou
Lanqing Hong
Zhenguo Li
Xiu-Shen Wei
De-Chuan Zhan
209
9
0
15 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
288
27
0
11 Jun 2021
DAMSL: Domain Agnostic Meta Score-based Learning
J. Cai
B. Cai
S. Shen
131
5
0
06 Jun 2021
One-shot Learning with Absolute Generalization
Hao Su
78
0
0
28 May 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning
IEEE International Conference on Computer Vision (ICCV), 2021
Tyler R. Scott
Andrew C. Gallagher
Michael C. Mozer
303
52
0
29 Mar 2021
Connecting Images through Time and Sources: Introducing Low-data, Heterogeneous Instance Retrieval
Dimitri Gominski
V. Gouet-Brunet
Liming Chen
3DH
108
0
0
19 Mar 2021
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining
Swapnil Bhosale
Rupayan Chakraborty
Sunil Kumar Kopparapu
80
4
0
16 Feb 2021
Deep Learning for Instance Retrieval: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Wei Chen
Yu Liu
Weiping Wang
E. Bakker
Theodoros Georgiou
Paul Fieguth
Tianpeng Liu
M. Lew
VLM
426
201
0
27 Jan 2021
Few-Shot Learning with Class Imbalance
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Mateusz Ochal
Massimiliano Patacchiola
Amos Storkey
Jose Vazquez
Sen Wang
290
52
0
07 Jan 2021
On Episodes, Prototypical Networks, and Few-shot Learning
Neural Information Processing Systems (NeurIPS), 2020
Steinar Laenen
Luca Bertinetto
242
124
0
17 Dec 2020
1
2
3
Next
Page 1 of 3
