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Meta-Learning with Latent Embedding Optimization
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Meta-Learning with Latent Embedding Optimization"

50 / 702 papers shown
Meta-Learning Initializations for Image Segmentation
Meta-Learning Initializations for Image Segmentation
S. Hendryx
Andrew B. Leach
P. Hein
Clayton T. Morrison
VLM
220
26
0
13 Dec 2019
Associative Alignment for Few-shot Image Classification
Associative Alignment for Few-shot Image ClassificationEuropean Conference on Computer Vision (ECCV), 2019
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
208
164
0
11 Dec 2019
Improved Few-Shot Visual Classification
Improved Few-Shot Visual ClassificationComputer Vision and Pattern Recognition (CVPR), 2019
Peyman Bateni
Raghav Goyal
Vaden Masrani
Frank Wood
Leonid Sigal
VLM
343
260
0
07 Dec 2019
MetaFun: Meta-Learning with Iterative Functional Updates
MetaFun: Meta-Learning with Iterative Functional UpdatesInternational Conference on Machine Learning (ICML), 2019
Jin Xu
Jean-François Ton
Hyunjik Kim
Adam R. Kosiorek
Yee Whye Teh
342
75
0
05 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
[Re] Learning to Learn By Self-Critique
[Re] Learning to Learn By Self-Critique
Isac Arnekvist
Dmytro Kalpakchi
80
0
0
30 Nov 2019
VIABLE: Fast Adaptation via Backpropagating Learned Loss
VIABLE: Fast Adaptation via Backpropagating Learned Loss
Leo Feng
L. Zintgraf
Bei Peng
Shimon Whiteson
120
1
0
29 Nov 2019
Learning Multi-level Weight-centric Features for Few-shot Learning
Learning Multi-level Weight-centric Features for Few-shot LearningPattern Recognition (Pattern Recognit.), 2019
Min-Siong Liang
Shaoli Huang
Shirui Pan
Biwei Huang
Wei Liu
318
11
0
28 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning
Meta-Learning of Neural Architectures for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2019
T. Elsken
B. Staffler
J. H. Metzen
Katharina Eggensperger
349
157
0
25 Nov 2019
Generalized Adaptation for Few-Shot Learning
Liang Song
Jinlu Liu
Yongqiang Qin
VLM
292
8
0
25 Nov 2019
Prototype Rectification for Few-Shot Learning
Prototype Rectification for Few-Shot LearningEuropean Conference on Computer Vision (ECCV), 2019
Jinlu Liu
Liang Song
Yongqiang Qin
518
268
0
25 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
  Recognition
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual RecognitionNeural Information Processing Systems (NeurIPS), 2019
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
202
41
0
17 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification
Self-Supervised Learning For Few-Shot Image ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Da Chen
YueFeng Chen
Yuhong Li
Feng Mao
Yuan He
Hui Xue
SSL
388
125
0
14 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph
  Modeling
Learning from the Past: Continual Meta-Learning via Bayesian Graph ModelingAAAI Conference on Artificial Intelligence (AAAI), 2019
Yadan Luo
Zi Huang
Zheng Zhang
Ziwei Wang
Mahsa Baktashmotlagh
Yang Yang
CLLBDL
123
27
0
12 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot
  Learning
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
Yan Wang
Wei-Lun Chao
Kilian Q. Weinberger
Laurens van der Maaten
VLM
263
373
0
12 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
Neural Similarity Learning
Neural Similarity LearningNeural Information Processing Systems (NeurIPS), 2019
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
181
33
0
28 Oct 2019
HIDRA: Head Initialization across Dynamic targets for Robust
  Architectures
HIDRA: Head Initialization across Dynamic targets for Robust ArchitecturesSDM (SDM), 2019
Rafael Rêgo Drumond
L. Brinkmeyer
Josif Grabocka
Lars Schmidt-Thieme
189
4
0
28 Oct 2019
Meta Learning for End-to-End Low-Resource Speech Recognition
Meta Learning for End-to-End Low-Resource Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Jui-Yang Hsu
Yuan-Jui Chen
Hung-yi Lee
116
114
0
26 Oct 2019
Texture Bias Of CNNs Limits Few-Shot Classification Performance
Texture Bias Of CNNs Limits Few-Shot Classification Performance
Sam Ringer
Will Williams
T. Ash
R. Francis
D. Macleod
SSL
112
12
0
18 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning
Single Episode Policy Transfer in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019
Jiachen Yang
Brenden K. Petersen
H. Zha
Daniel Faissol
OODOffRL
260
38
0
17 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
Self-supervised Label Augmentation via Input Transformations
Self-supervised Label Augmentation via Input Transformations
Hankook Lee
Sung Ju Hwang
Jinwoo Shin
SSL
155
66
0
14 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned
  Objectives
Improving Generalization in Meta Reinforcement Learning using Learned ObjectivesInternational Conference on Learning Representations (ICLR), 2019
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
OffRL
270
127
0
09 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?European Conference on Computer Vision (ECCV), 2019
Jong-Chyi Su
Subhransu Maji
B. Hariharan
220
186
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
Generalized Inner Loop Meta-Learning
Generalized Inner Loop Meta-Learning
Jaya Kumar Alageshan
Brandon Amos
A. Verma
Phu Mon Htut
Artem Molchanov
Franziska Meier
Douwe Kiela
Dong Wang
Soumith Chintala
AI4CE
196
162
0
03 Oct 2019
An empirical study of pretrained representations for few-shot
  classification
An empirical study of pretrained representations for few-shot classification
Tiago Ramalho
Laura Vana-Gur
P. Filzmoser
VLM
141
6
0
03 Oct 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
Deep Amortized Clustering
Deep Amortized Clustering
Juho Lee
Yoonho Lee
Yee Whye Teh
FedML
135
23
0
30 Sep 2019
The Differentiable Cross-Entropy Method
The Differentiable Cross-Entropy MethodInternational Conference on Machine Learning (ICML), 2019
Brandon Amos
Denis Yarats
378
58
0
27 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment
RLBench: The Robot Learning Benchmark & Learning EnvironmentIEEE Robotics and Automation Letters (RA-L), 2019
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSLVLMOffRL
293
757
0
26 Sep 2019
A Theoretical Analysis of the Number of Shots in Few-Shot Learning
A Theoretical Analysis of the Number of Shots in Few-Shot LearningInternational Conference on Learning Representations (ICLR), 2019
Tianshi Cao
M. Law
Sanja Fidler
214
71
0
25 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
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAMLInternational Conference on Learning Representations (ICLR), 2019
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
620
708
0
19 Sep 2019
GradNet: Gradient-Guided Network for Visual Object Tracking
GradNet: Gradient-Guided Network for Visual Object TrackingIEEE International Conference on Computer Vision (ICCV), 2019
Peixia Li
Boyu Chen
Wanli Ouyang
Dong Wang
Xiaoyun Yang
Huchuan Lu
164
253
0
15 Sep 2019
Torchmeta: A Meta-Learning library for PyTorch
Torchmeta: A Meta-Learning library for PyTorch
T. Deleu
Tobias Würfl
Mandana Samiei
Joseph Paul Cohen
Yoshua Bengio
OffRL
159
91
0
14 Sep 2019
Meta-Learning for Few-Shot Time Series Classification
Meta-Learning for Few-Shot Time Series Classification
Jyoti Narwariya
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
T. Vishnu
315
69
0
13 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
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators
Yongseok Choi
Junyoung Park
Subin Yi
D.-Y. Cho
OOD
113
0
0
11 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
A Baseline for Few-Shot Image Classification
A Baseline for Few-Shot Image ClassificationInternational Conference on Learning Representations (ICLR), 2019
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
545
626
0
06 Sep 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient DescentInternational Conference on Learning Representations (ICLR), 2019
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
428
220
0
30 Aug 2019
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification TasksIEEE International Conference on Computer Vision (ICCV), 2019
Anh Tran
Cuong V Nguyen
Tal Hassner
370
191
0
21 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
Meta Reasoning over Knowledge Graphs
Meta Reasoning over Knowledge Graphs
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
ReLMLRM
127
8
0
13 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
394
364
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
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