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  4. Cited By
Meta Networks
v1v2 (latest)

Meta Networks

2 March 2017
Tsendsuren Munkhdalai
Hong-ye Yu
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Meta Networks"

50 / 490 papers shown
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
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Mahesh Kumar Krishna Reddy
M. Hossain
Mrigank Rochan
Yang Wang
284
42
0
01 Feb 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive
  Model Selection
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model SelectionThe Web Conference (WWW), 2020
Mi Luo
Fei Chen
Pengxiang Cheng
Zhenhua Dong
Xiuqiang He
Jiashi Feng
Zhenguo Li
297
51
0
22 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and
  Unsupervised Few-shot Learning
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot LearningComputer Vision and Pattern Recognition (CVPR), 2020
Hongguang Zhang
Piotr Koniusz
Songlei Jian
Hongdong Li
Juil Sock
SSL
220
71
0
12 Jan 2020
Diversity Transfer Network for Few-Shot Learning
Diversity Transfer Network for Few-Shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Mengting Chen
Yuxin Fang
Xinggang Wang
Heng Luo
Yifeng Geng
Xinyu Zhang
Chang Huang
Wenyu Liu
Bo Wang
175
79
0
31 Dec 2019
MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low
  Resource Machine Translation
MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine TranslationAAAI Conference on Artificial Intelligence (AAAI), 2019
Rumeng Li
Xun Wang
Hong-ye Yu
149
41
0
11 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
202
136
0
10 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot
  Classification
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot ClassificationPattern Recognition Letters (PR), 2019
Sivan Doveh
Eli Schwartz
Chao Xue
Rogerio Feris
A. Bronstein
Raja Giryes
Leonid Karlinsky
261
17
0
01 Dec 2019
Decoupling Features and Coordinates for Few-shot RGB Relocalization
Siyan Dong
Songyin Wu
Yixin Zhuang
Kai Xu
Shanghang Zhang
Baoquan Chen
131
0
0
26 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied NavigationComputer Vision and Pattern Recognition (CVPR), 2019
Juncheng Li
Xinze Wang
Siliang Tang
Haizhou Shi
Leilei Gan
Yueting Zhuang
William Yang Wang
SSL
316
78
0
18 Nov 2019
Learning to Few-Shot Learn Across Diverse Natural Language
  Classification Tasks
Learning to Few-Shot Learn Across Diverse Natural Language Classification TasksInternational Conference on Computational Linguistics (COLING), 2019
Trapit Bansal
Rishikesh Jha
Andrew McCallum
SSL
273
126
0
10 Nov 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Multimodal Model-Agnostic Meta-Learning via Task-Aware ModulationNeural Information Processing Systems (NeurIPS), 2019
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
188
243
0
30 Oct 2019
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot ClassificationNeural Information Processing Systems (NeurIPS), 2019
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
438
746
0
17 Oct 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
FewRel 2.0: Towards More Challenging Few-Shot Relation ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
403
268
0
16 Oct 2019
Semi Few-Shot Attribute Translation
Semi Few-Shot Attribute TranslationImage and Vision Computing New Zealand (IVCNZ), 2019
Ricard Durall
Franz-Josef Pfreundt
J. Keuper
GANVLM
129
3
0
08 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
181
122
0
07 Oct 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
Meta-learning algorithms for Few-Shot Computer Vision
Meta-learning algorithms for Few-Shot Computer Vision
Etienne Bennequin
VLM
142
9
0
30 Sep 2019
Chameleon: Learning Model Initializations Across Tasks With Different
  Schemas
Chameleon: Learning Model Initializations Across Tasks With Different Schemas
L. Brinkmeyer
Rafael Rêgo Drumond
Randolf Scholz
Josif Grabocka
Lars Schmidt-Thieme
CLL
165
9
0
30 Sep 2019
Decoder Choice Network for Meta-Learning
Decoder Choice Network for Meta-LearningIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019
Jialin Liu
Jiayi Ji
Longzhi Yang
Chih-Min Lin
Q. Shen
108
10
0
25 Sep 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Meta-Inverse Reinforcement Learning with Probabilistic Context VariablesNeural Information Processing Systems (NeurIPS), 2019
Lantao Yu
Tianhe Yu
Chelsea Finn
Stefano Ermon
OffRLBDL
154
78
0
20 Sep 2019
Modular Meta-Learning with Shrinkage
Modular Meta-Learning with ShrinkageNeural Information Processing Systems (NeurIPS), 2019
Yutian Chen
A. Friesen
Feryal M. P. Behbahani
Arnaud Doucet
David Budden
Matthew W. Hoffman
Nando de Freitas
KELMOffRL
232
35
0
12 Sep 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit GradientsNeural Information Processing Systems (NeurIPS), 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
452
944
0
10 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning
PARN: Position-Aware Relation Networks for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2019
Ziyang Wu
Yuwei Li
Lihua Guo
Kui Jia
113
94
0
10 Sep 2019
Efficient Automatic Meta Optimization Search for Few-Shot Learning
Efficient Automatic Meta Optimization Search for Few-Shot LearningChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2019
Xinyue Zheng
Xuanjing Huang
Qigang Wang
Peng Wang
Feiyu Xu
74
0
0
06 Sep 2019
Meta Learning with Relational Information for Short Sequences
Meta Learning with Relational Information for Short SequencesNeural Information Processing Systems (NeurIPS), 2019
Yujia Xie
Haoming Jiang
Feng Liu
T. Zhao
H. Zha
156
15
0
04 Sep 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge
  Graphs
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Yin Hua
Wen Zhang
Wei Zhang
Qiang Chen
Huajun Chen
KELM
237
223
0
04 Sep 2019
Neural Snowball for Few-Shot Relation Learning
Neural Snowball for Few-Shot Relation LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Tianyu Gao
Xu Han
Ruobing Xie
Zhiyuan Liu
Fen Lin
Leyu Lin
Maosong Sun
204
84
0
29 Aug 2019
Large-Scale Historical Watermark Recognition: dataset and a new
  consistency-based approach
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approachInternational Conference on Pattern Recognition (ICPR), 2019
Xi Shen
Ilaria Pastrolin
Oumayma Bounou
Spyros Gidaris
Marc Smith
Olivier Poncet
Mathieu Aubry
101
16
0
27 Aug 2019
Learning Continually from Low-shot Data Stream
Learning Continually from Low-shot Data Stream
Canyu Le
Xihan Wei
Biao Wang
L. Zhang
Zhonggui Chen
CLL
112
4
0
27 Aug 2019
Self-reinforcing Unsupervised Matching
Self-reinforcing Unsupervised MatchingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Jiang Lu
Lei Li
Changshui Zhang
93
5
0
23 Aug 2019
When Low Resource NLP Meets Unsupervised Language Model:
  Meta-pretraining Then Meta-learning for Few-shot Text Classification
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2019
Shumin Deng
Ningyu Zhang
Zhanlin Sun
Jiaoyan Chen
Huajun Chen
VLM
131
45
0
22 Aug 2019
Transferring Robustness for Graph Neural Network Against Poisoning
  Attacks
Transferring Robustness for Graph Neural Network Against Poisoning AttacksWeb Search and Data Mining (WSDM), 2019
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OODAAML
417
192
0
20 Aug 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
Optimizing quantum heuristics with meta-learning
Optimizing quantum heuristics with meta-learningQuantum Machine Intelligence (QMI), 2019
M. Wilson
Rachel Stromswold
Filip Wudarski
Stuart Hadfield
N. Tubman
E. Rieffel
174
82
0
08 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
353
603
0
06 Aug 2019
Few-Shot Meta-Denoising
Few-Shot Meta-Denoising
Leslie Casas
Attila Klimmek
G. Carneiro
Nassir Navab
Vasileios Belagiannis
142
5
0
31 Jul 2019
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
FSS-1000: A 1000-Class Dataset for Few-Shot SegmentationComputer Vision and Pattern Recognition (CVPR), 2019
Xiang Li
Tianhan Wei
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
VLM
241
296
0
29 Jul 2019
ROAM: Recurrently Optimizing Tracking Model
ROAM: Recurrently Optimizing Tracking ModelComputer Vision and Pattern Recognition (CVPR), 2019
Tianyu Yang
Pengfei Xu
Runbo Hu
Hua Chai
Antoni B. Chan
298
104
0
28 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational InferenceIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OODBDLUQCV
157
58
0
27 Jul 2019
Metalearned Neural Memory
Metalearned Neural MemoryNeural Information Processing Systems (NeurIPS), 2019
Tsendsuren Munkhdalai
Alessandro Sordoni
Tong Wang
Adam Trischler
KELM
235
72
0
23 Jul 2019
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot
  Action Recognition
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action RecognitionBritish Machine Vision Conference (BMVC), 2019
M. Bishay
Georgios Zoumpourlis
Ioannis Patras
ViT
230
165
0
21 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
182
104
0
06 Jul 2019
Learning to Generate Synthetic 3D Training Data through Hybrid Gradient
Learning to Generate Synthetic 3D Training Data through Hybrid GradientComputer Vision and Pattern Recognition (CVPR), 2019
Dawei Yang
Gaowen Liu
3DH
182
5
0
29 Jun 2019
Few-Shot Video Classification via Temporal Alignment
Few-Shot Video Classification via Temporal AlignmentComputer Vision and Pattern Recognition (CVPR), 2019
Kaidi Cao
Jingwei Ji
Zhangjie Cao
C. Chang
Juan Carlos Niebles
AI4TS
251
269
0
27 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation
  Classification
Multi-Level Matching and Aggregation Network for Few-Shot Relation ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Zhiquan Ye
Zhenhua Ling
190
144
0
16 Jun 2019
Learning to Forget for Meta-Learning
Learning to Forget for Meta-LearningComputer Vision and Pattern Recognition (CVPR), 2019
Sungyong Baik
Seokil Hong
Kyoung Mu Lee
CLLKELM
149
105
0
13 Jun 2019
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning
Zhengxiao Du
Chang Zhou
Ming Ding
Hongxia Yang
Jie Tang
ReLMLRM
119
24
0
13 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-SupervisionIEEE International Conference on Computer Vision (ICCV), 2019
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
212
434
0
12 Jun 2019
Weakly-supervised Compositional FeatureAggregation for Few-shot
  Recognition
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition
Ping Hu
Ximeng Sun
Kate Saenko
Stan Sclaroff
OCLCoGe
152
25
0
11 Jun 2019
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