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1703.00837
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Meta Networks
2 March 2017
Tsendsuren Munkhdalai
Hong-ye Yu
GNN
AI4CE
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Papers citing
"Meta Networks"
50 / 490 papers shown
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation
Kowshik Thopalli
Jayaraman J. Thiagarajan
Rushil Anirudh
Pavan Turaga
138
2
0
11 Jun 2019
Baby steps towards few-shot learning with multiple semantics
Pattern Recognition Letters (PR), 2019
Eli Schwartz
Leonid Karlinsky
Rogerio Feris
Raja Giryes
A. Bronstein
VLM
260
114
0
05 Jun 2019
Discriminative Few-Shot Learning Based on Directional Statistics
Junyoung Park
Subin Yi
Yongseok Choi
D.-Y. Cho
Jiwon Kim
71
4
0
05 Jun 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Neural Information Processing Systems (NeurIPS), 2019
Xinzhe Li
Qianru Sun
Yaoyao Liu
Shibao Zheng
Qin Zhou
Tat-Seng Chua
Bernt Schiele
SSL
205
295
0
03 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation
Knowledge Discovery and Data Mining (KDD), 2019
Zhengxiao Du
Xiaowei Wang
Hongxia Yang
Jingren Zhou
Jie Tang
OffRL
LRM
CLL
146
127
0
02 Jun 2019
Image Deformation Meta-Networks for One-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2019
Z. Chen
Yanwei Fu
Yu-Xiong Wang
Lin Ma
Wei Liu
M. Hebert
172
244
0
28 May 2019
Learning to learn via Self-Critique
Antreas Antoniou
Amos Storkey
SSL
288
17
0
24 May 2019
Zero-shot task adaptation by homoiconic meta-mapping
Andrew Kyle Lampinen
James L. McClelland
244
1
0
23 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
International Conference on Machine Learning (ICML), 2019
Huaiyu Li
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
Bao-Gang Hu
OffRL
161
105
0
15 May 2019
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Fei Mi
Shiyu Huang
Jiyong Zhang
Boi Faltings
154
101
0
14 May 2019
Hierarchically Structured Meta-learning
International Conference on Machine Learning (ICML), 2019
Huaxiu Yao
Ying Wei
Junzhou Huang
Ruoyao Xiao
193
218
0
13 May 2019
Few-Shot Unsupervised Image-to-Image Translation
IEEE International Conference on Computer Vision (ICCV), 2019
Ming-Yuan Liu
Xun Huang
Arun Mallya
Tero Karras
Timo Aila
J. Lehtinen
Jan Kautz
288
651
0
05 May 2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2019
Spyros Gidaris
N. Komodakis
169
239
0
03 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
427
134
0
17 Apr 2019
Learning Discriminative Model Prediction for Tracking
Goutam Bhat
Martin Danelljan
Luc Van Gool
Radu Timofte
334
1,224
0
15 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation
Zuxuan Wu
Xin Wang
Joseph E. Gonzalez
Tom Goldstein
L. Davis
OOD
197
107
0
12 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
416
1,318
0
10 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
547
2,004
0
10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer
Bharath Hariharan
174
169
0
09 Apr 2019
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout
Heda Song
M. Torres
Ender Ozcan
I. Triguero
114
7
0
08 Apr 2019
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
479
1,923
0
08 Apr 2019
Few-Shot Learning via Saliency-guided Hallucination of Samples
Hongguang Zhang
Jing Zhang
Piotr Koniusz
189
211
0
06 Apr 2019
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning
Duo Wang
Yu Cheng
Mo Yu
Xiaoxiao Guo
Zhang Tao
VLM
134
4
0
04 Apr 2019
Comparison Network for One-Shot Conditional Object Detection
Tengfei Zhang
Yue Zhang
Xian Sun
Hao Sun
Ming Yan
Xue Yang
Kun Fu
ObjD
215
24
0
04 Apr 2019
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition
Paresh Malalur
Tommi Jaakkola
ObjD
VLM
83
0
0
11 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Lixuan Zhu
Vincent Dumoulin
Pascal Lamblin
Utku Evci
...
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
Hugo Larochelle
552
669
0
07 Mar 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2019
Chi Zhang
Guosheng Lin
Fayao Liu
Rui Yao
Chunhua Shen
VLM
SSeg
213
625
0
06 Mar 2019
Induction Networks for Few-Shot Text Classification
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Ruiying Geng
Binhua Li
Yongbin Li
Xiao-Dan Zhu
Ping Jian
Jian Sun
258
193
0
27 Feb 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning
Computer Vision and Pattern Recognition (CVPR), 2019
Amit Alfassy
Leonid Karlinsky
Amit Aides
J. Shtok
Sivan Harary
Rogerio Feris
Raja Giryes
A. Bronstein
206
126
0
26 Feb 2019
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
345
292
0
22 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Tiago Ramalho
M. Garnelo
BDL
189
81
0
07 Feb 2019
HyperGAN: A Generative Model for Diverse, Performant Neural Networks
International Conference on Machine Learning (ICML), 2019
Neale Ratzlaff
Fuxin Li
331
71
0
30 Jan 2019
Few-shot Learning with Meta Metric Learners
Yu Cheng
Mo Yu
Xiaoxiao Guo
Bowen Zhou
202
19
0
26 Jan 2019
Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts
Pengkai Zhu
Hanxiao Wang
Venkatesh Saligrama
VLM
133
10
0
25 Jan 2019
An Investigation of Few-Shot Learning in Spoken Term Classification
Yangbin Chen
Tom Ko
Lifeng Shang
Xiao Chen
Xin Jiang
Qing Li
148
7
0
26 Dec 2018
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi
Chelsea Finn
Sergey Levine
OffRL
CLL
231
203
0
18 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
245
33
0
18 Dec 2018
Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel
Erin Grant
Thomas Griffiths
Katherine A. Heller
FedML
CLL
BDL
379
12
0
14 Dec 2018
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning
Yunxiao Qin
Weiguo Zhang
Chenxu Zhao
Zezheng Wang
Xiangyu Zhu
Guojun Qi
Jingping Shi
Zhen Lei
226
29
0
11 Dec 2018
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
636
1,189
0
06 Dec 2018
One-Shot Instance Segmentation
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
ISeg
252
96
0
28 Nov 2018
RelationNet2: Deep Comparison Columns for Few-Shot Learning
Xueting Zhang
Yuting Qiang
Flood Sung
Yongxin Yang
Timothy M. Hospedales
129
18
0
17 Nov 2018
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks
Jing Shi
Jiaming Xu
Yiqun Yao
Bo Xu
143
27
0
15 Nov 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han
Hao Zhu
Pengfei Yu
Ziyun Wang
Yuan Yao
Zhiyuan Liu
Maosong Sun
SLR
210
667
0
24 Oct 2018
How to train your MAML
Antreas Antoniou
Harrison Edwards
Amos Storkey
321
853
0
22 Oct 2018
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
443
244
0
04 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning
Annie Xie
Avi Singh
Sergey Levine
Chelsea Finn
OffRL
212
72
0
30 Sep 2018
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong
Mo Yu
Shiyu Chang
Xiaoxiao Guo
William Yang Wang
209
261
0
27 Aug 2018
Transfer Learning for Estimating Causal Effects using Neural Networks
Sören R. Künzel
Bradly C. Stadie
N. Vemuri
V. Ramakrishnan
Jasjeet Sekhon
Pieter Abbeel
CML
102
33
0
23 Aug 2018
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Jinchao Liu
S. Gibson
Margarita Osadchy
80
8
0
22 Aug 2018
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