Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1905.06331
Cited By
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
International Conference on Machine Learning (ICML), 2019
15 May 2019
Huaiyu Li
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
Bao-Gang Hu
OffRL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning"
46 / 46 papers shown
Memory-Reduced Meta-Learning with Guaranteed Convergence
AAAI Conference on Artificial Intelligence (AAAI), 2024
Honglin Yang
Ji Ma
Xiao Yu
321
1
0
16 Dec 2024
Harnessing the Power of Local Representations for Few-Shot Classification
Shi Tang
Guiming Luo
Xinchen Ye
Zhiyi Xia
298
1
0
02 Jul 2024
Exploring intra-task relations to improve meta-learning algorithms
P. Agarwal
Shreya Singh
OOD
273
0
0
27 Dec 2023
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
Qinqian Lei
Bo Wang
Robby T. Tan
VLM
376
4
0
17 Dec 2023
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
Max Zhu
Katarzyna Kobalczyk
Andrija Petrović
Mladen Nikolic
M. Schaar
Boris Delibasic
Petro Lio
289
4
0
16 Nov 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Baoquan Zhang
Chuyao Luo
Demin Yu
Huiwei Lin
Xutao Li
Yunming Ye
Bowen Zhang
DiffM
567
89
0
31 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
271
235
0
10 Jul 2023
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
Huabin Liu
W. Lin
Yun Xu
Yuxi Li
Shuyuan Li
John See
332
9
0
10 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Wanli Li
T. Qian
Yi Song
Zeyu Zhang
Jiawei Li
Zhuang Chen
Lixin Zou
434
2
0
03 May 2023
Meta-learning approaches for few-shot learning: A survey of recent advances
ACM Computing Surveys (ACM Comput. Surv.), 2023
Hassan Gharoun
Fereshteh Momenifar
Fang Chen
Amir H. Gandomi
OOD
VLM
333
166
0
13 Mar 2023
Adaptive Siamese Tracking with a Compact Latent Network
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xingping Dong
Jianbing Shen
Fatih Porikli
Jiebo Luo
Ling Shao
272
44
0
02 Feb 2023
Meta-Ensemble Parameter Learning
Zhengcong Fei
Shuman Tian
Junshi Huang
Xiaoming Wei
Xiaolin K. Wei
OOD
286
2
0
05 Oct 2022
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action Recognition
ACM Multimedia (ACM MM), 2022
Huabin Liu
Weixian Lv
John See
W. Lin
TTA
337
16
0
20 Jul 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Song Wang
Yushun Dong
Xiao Huang
Chen Chen
Jundong Li
324
28
0
05 May 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
International Conference on Machine Learning (ICML), 2022
A. Zhmoginov
Mark Sandler
Max Vladymyrov
ViT
403
79
0
11 Jan 2022
Parameter Prediction for Unseen Deep Architectures
Neural Information Processing Systems (NeurIPS), 2021
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
398
103
0
25 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari
Ehsan Saleh
David A. Forsyth
Yu-Xiong Wang
457
13
0
06 Oct 2021
Sparse Spatial Transformers for Few-Shot Learning
Science China Information Sciences (Sci China Inf Sci), 2021
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
ViT
279
44
0
27 Sep 2021
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks
International Conference on Machine Learning and Applications (ICMLA), 2021
Amirreza Sobhdel
R. Razavi-Far
192
5
0
22 Sep 2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
International Joint Conference on Natural Language Processing (IJCNLP), 2021
Hongru Wang
Zezhong Wang
Gabriel Pui Cheong Fung
Kam-Fai Wong
OffRL
CLL
306
11
0
26 Aug 2021
Prototype Completion for Few-Shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Baoquan Zhang
Xutao Li
Yunming Ye
Shanshan Feng
VLM
370
28
0
11 Aug 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning
Fei Pan
Chunlei Xu
Jie Guo
Yanwen Guo
316
0
0
26 Jul 2021
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li
Guizhong Liu
VLM
236
2
0
21 Jun 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments
Pattern Recognition (Pattern Recogn.), 2021
Xiaoxu Li
Xiaochen Yang
Zhanyu Ma
Jing-Hao Xue
VLM
347
179
0
17 May 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
358
46
0
05 Mar 2021
Combat Data Shift in Few-shot Learning with Knowledge Graph
Yongchun Zhu
Fuzhen Zhuang
Xiangliang Zhang
Zhiyuan Qi
Zhiping Shi
Juan Cao
Qing He
OOD
443
6
0
27 Jan 2021
TLRM: Task-level Relation Module for GNN-based Few-Shot Learning
Visual Communications and Image Processing (VCIP), 2021
Yurong Guo
Zhanyu Ma
Xiaoxu Li
Yuan Dong
206
5
0
25 Jan 2021
Progressive Co-Attention Network for Fine-grained Visual Classification
Visual Communications and Image Processing (VCIP), 2021
Tian Zhang
Dongliang Chang
Zhanyu Ma
Jun Guo
341
60
0
21 Jan 2021
Spatial Contrastive Learning for Few-Shot Classification
Yassine Ouali
C´eline Hudelot
Myriam Tami
239
58
0
26 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification
Lei Zhang
Fei Zhou
Wei Wei
Yanning Zhang
VLM
317
36
0
03 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Han-Jia Ye
Lu Han
De-Chuan Zhan
OffRL
SSL
VLM
248
39
0
30 Nov 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
IEEE Transactions on Image Processing (TIP), 2020
Xiaoxu Li
Jijie Wu
Z. Sun
Zhanyu Ma
Jie Cao
Jing-Hao Xue
181
173
0
29 Nov 2020
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization
Congqi Cao
Yajuan Li
Qinyi Lv
Peng Wang
Yanning Zhang
173
32
0
13 Oct 2020
Interventional Few-Shot Learning
Neural Information Processing Systems (NeurIPS), 2020
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
520
268
0
28 Sep 2020
A Survey on Machine Learning from Few Samples
Pattern Recognition (Pattern Recognit.), 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
376
81
0
06 Sep 2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning
Jianyi Li
Guizhong Liu
VLM
SSL
MQ
162
16
0
23 Aug 2020
Few-Shot Learning with Intra-Class Knowledge Transfer
Vivek Roy
Yan Xu
Yu-Xiong Wang
Kris Kitani
Ruslan Salakhutdinov
M. Hebert
VLM
186
4
0
22 Aug 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yang Xiao
Vincent Lepetit
Renaud Marlet
3DPC
413
408
0
23 Jul 2020
A Concise Review of Recent Few-shot Meta-learning Methods
Xiaoxu Li
Z. Sun
Jing-Hao Xue
Zhanyu Ma
VLM
OffRL
270
142
0
22 May 2020
Transforming task representations to perform novel tasks
Andrew Kyle Lampinen
James L. McClelland
305
5
0
08 May 2020
Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification
Jun Seo
Sung Whan Yoon
Jaekyun Moon
VLM
110
1
0
18 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
BDL
492
11
0
05 Mar 2020
Meta-Transfer Learning through Hard Tasks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
255
124
0
07 Oct 2019
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
241
107
0
06 Jul 2019
Zero-shot task adaptation by homoiconic meta-mapping
Andrew Kyle Lampinen
James L. McClelland
342
1
0
23 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
516
135
0
17 Apr 2019
1
Page 1 of 1
