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1807.05960
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Meta-Learning with Latent Embedding Optimization
International Conference on Learning Representations (ICLR), 2018
16 July 2018
Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
R. Hadsell
Re-assign community
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Papers citing
"Meta-Learning with Latent Embedding Optimization"
50 / 702 papers shown
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
International Conference on Learning Representations (ICLR), 2020
S. Hu
Pablo G. Moreno
Yanghua Xiao
Xin Shen
G. Obozinski
Neil D. Lawrence
Andreas C. Damianou
BDL
220
136
0
27 Apr 2020
Meta-Meta Classification for One-Shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Arkabandhu Chowdhury
Dipak Chaudhari
Swarat Chaudhuri
C. Jermaine
173
5
0
17 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
451
40
0
17 Apr 2020
Zero-Shot Compositional Policy Learning via Language Grounding
Tianshi Cao
Jingkang Wang
Yining Zhang
S. Manivasagam
LM&Ro
228
3
0
15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning
Antreas Antoniou
Massimiliano Patacchiola
Mateusz Ochal
Amos Storkey
204
41
0
15 Apr 2020
Regularizing Meta-Learning via Gradient Dropout
Asian Conference on Computer Vision (ACCV), 2020
Hung-Yu Tseng
Yi-Wen Chen
Yi-Hsuan Tsai
Sifei Liu
Yen-Yu Lin
Ming-Hsuan Yang
142
39
0
13 Apr 2020
Self-Supervised Tuning for Few-Shot Segmentation
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Kai Zhu
Wei Zhai
Zhengjun Zha
Yang Cao
234
30
0
12 Apr 2020
Meta-Learning in Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
767
2,421
0
11 Apr 2020
Training few-shot classification via the perspective of minibatch and pretraining
CAAI International Conference on Artificial Intelligence (ICCAI), 2020
Meiyu Huang
Xueshuang Xiang
Yao Xu
VLM
93
2
0
10 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Neural Networks (NN), 2020
Jinhwan Seo
Hong G Jung
Seong-Whan Lee
SSL
255
42
0
01 Apr 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
Computer Vision and Pattern Recognition (CVPR), 2020
Ling Yang
Liang Li
Zilun Zhang
Xinyu Zhou
Erjin Zhou
Yu Liu
237
229
0
31 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
European Conference on Computer Vision (ECCV), 2020
Yinan Han
Yue Cao
Yutong Lin
Qi Li
Zheng Zhang
Mingsheng Long
Han Hu
195
366
0
26 Mar 2020
Instance Credibility Inference for Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2020
Yikai Wang
C. Xu
Chen Liu
Li Zhang
Yanwei Fu
191
184
0
26 Mar 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
European Conference on Computer Vision (ECCV), 2020
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
394
24
0
20 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma
Jiajun Bu
Jieyu Yang
Zhen Zhang
Chengwei Yao
Zhi Yu
Sheng Zhou
Xifeng Yan
144
5
0
18 Mar 2020
Incremental Object Detection via Meta-Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
CLL
VLM
399
122
0
17 Mar 2020
Frustratingly Simple Few-Shot Object Detection
International Conference on Machine Learning (ICML), 2020
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
Feng Yu
ObjD
588
679
0
16 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection
Leonid Karlinsky
J. Shtok
Amit Alfassy
M. Lichtenstein
Sivan Harary
...
Sivan Doveh
P. Sattigeri
Rogerio Feris
A. Bronstein
Raja Giryes
278
6
0
15 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Chi Zhang
Yujun Cai
Guosheng Lin
Chunhua Shen
VLM
436
159
0
15 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
European Conference on Computer Vision (ECCV), 2020
M. Lichtenstein
P. Sattigeri
Rogerio Feris
Raja Giryes
Leonid Karlinsky
220
80
0
14 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
IEEE International Conference on Computer Vision (ICCV), 2020
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
797
430
0
09 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
European Conference on Computer Vision (ECCV), 2020
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
243
207
0
09 Mar 2020
Single-View 3D Object Reconstruction from Shape Priors in Memory
Shuo Yang
Min Xu
Haozhe Xie
Stuart Perry
Huanjin Yao
3DV
391
8
0
08 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
409
10
0
05 Mar 2020
Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error
Yu-ichi Hayashi
Taiji Suzuki
58
0
0
04 Mar 2020
Novelty-Prepared Few-Shot Classification
Chao Wang
Ruofan Liu
Han-Jia Ye
Yang Yu
117
0
0
01 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Jianhong Zhang
Manli Zhang
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
153
18
0
28 Feb 2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures
International Conference on Learning Representations (ICLR), 2020
Jatin Chauhan
Deepak Nathani
Manohar Kaul
171
76
0
27 Feb 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
Computer Vision and Pattern Recognition (CVPR), 2020
Jae Woong Soh
Sunwoo Cho
N. Cho
SupR
265
304
0
27 Feb 2020
Meta-Learned Confidence for Few-shot Learning
Seong Min Kye
Haebeom Lee
Hoirin Kim
Sung Ju Hwang
201
23
0
27 Feb 2020
Meta-learning for mixed linear regression
International Conference on Machine Learning (ICML), 2020
Weihao Kong
Raghav Somani
Zhao Song
Sham Kakade
Sewoong Oh
178
70
0
20 Feb 2020
Structured Prediction for Conditional Meta-Learning
Ruohan Wang
Y. Demiris
C. Ciliberto
CLL
242
6
0
20 Feb 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning
Nanyi Fei
Zhiwu Lu
Yizhao Gao
Jia Tian
Tao Xiang
Ji-Rong Wen
429
11
0
11 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment
Qing Liu
Orchid Majumder
Alessandro Achille
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
CLL
178
6
0
11 Feb 2020
Task Augmentation by Rotating for Meta-Learning
Jialin Liu
Jiayi Ji
Chih-Min Lin
160
38
0
08 Feb 2020
Meta-learning framework with applications to zero-shot time-series forecasting
AAAI Conference on Artificial Intelligence (AAAI), 2020
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
UQCV
AI4TS
AI4CE
521
130
0
07 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
International Conference on Machine Learning (ICML), 2020
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
151
15
0
06 Feb 2020
Effective Diversity in Population Based Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
394
180
0
03 Feb 2020
Revisiting Meta-Learning as Supervised Learning
Wei-Lun Chao
Han-Jia Ye
De-Chuan Zhan
M. Campbell
Kilian Q. Weinberger
OOD
FedML
163
24
0
03 Feb 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification
Yuqing Hu
Vincent Gripon
S. Pateux
232
28
0
27 Jan 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
International Conference on Learning Representations (ICLR), 2020
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
345
450
0
23 Jan 2020
Continual Local Replacement for Few-shot Learning
Canyu Le
Zhonggui Chen
Xihan Wei
Biao Wang
Lei Zhang
BDL
CLL
188
2
0
23 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
204
51
0
22 Jan 2020
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer
Asian Conference on Computer Vision (ACCV), 2020
Hongguang Zhang
Juil Sock
Piotr Koniusz
ViT
267
5
0
06 Jan 2020
Automated Relational Meta-learning
International Conference on Learning Representations (ICLR), 2020
Huaxiu Yao
Xian Wu
Zhiqiang Tao
Yaliang Li
Bolin Ding
Ruirui Li
Ruoyao Xiao
171
100
0
03 Jan 2020
Diversity Transfer Network for Few-Shot Learning
AAAI Conference on Artificial Intelligence (AAAI), 2019
Mengting Chen
Yuxin Fang
Xinggang Wang
Heng Luo
Yifeng Geng
Xinyu Zhang
Chang Huang
Wenyu Liu
Bo Wang
183
80
0
31 Dec 2019
Meta-Graph: Few Shot Link Prediction via Meta Learning
A. Bose
Ankit Jain
Piero Molino
William L. Hamilton
167
71
0
20 Dec 2019
Unsupervised Few-shot Learning via Self-supervised Training
Zilong Ji
Xiaolong Zou
Tiejun Huang
Si Wu
SSL
126
27
0
20 Dec 2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2019
Zhongjie Yu
Lin Chen
Zhongwei Cheng
Jiebo Luo
190
127
0
19 Dec 2019
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
Da Chen
Yongliang Yang
Zunlei Feng
Xiang Wu
Min-Gyoo Song
Wenbin Li
Yuan He
Hui Xue
Feng Mao
VLM
162
1
0
18 Dec 2019
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