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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
Meta-Learning with Shared Amortized Variational Inference
International Conference on Machine Learning (ICML), 2020
E. Iakovleva
Jakob Verbeek
Alahari Karteek
OOD
FedML
BDL
140
25
0
27 Aug 2020
Transductive Information Maximization For Few-Shot Learning
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
José Dolz
Pablo Piantanida
Ismail Ben Ayed
VLM
248
86
0
25 Aug 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning
Neural Information Processing Systems (NeurIPS), 2020
Giulia Denevi
Massimiliano Pontil
C. Ciliberto
233
41
0
25 Aug 2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning
Jianyi Li
Guizhong Liu
VLM
SSL
MQ
115
15
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
151
4
0
22 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh
Hyungjun Yoo
ChangHwan Kim
Seyoung Yun
213
9
0
20 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
366
117
0
13 Aug 2020
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition
ACM Multimedia (ACM MM), 2020
Yixiong Zou
Shanghang Zhang
Jianpeng Yu
Yonghong Tian
José M. F. Moura
187
18
0
07 Aug 2020
Few-shot Classification via Adaptive Attention
Zihang Jiang
Bingyi Kang
Kuangqi Zhou
Jiashi Feng
214
25
0
06 Aug 2020
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLM
BDL
245
60
0
30 Jul 2020
Meta-Learning with Context-Agnostic Initialisations
Asian Conference on Computer Vision (ACCV), 2020
Toby Perrett
A. Masullo
T. Burghardt
Majid Mirmehdi
Dima Damen
CLL
136
2
0
29 Jul 2020
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
Zhuo Zhou
Cheng Gu
Wenxin Huang
Lin Li
Shuqin Chen
Chia-Wen Lin
SSL
134
13
0
21 Jul 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake C. Snell
R. Zemel
295
68
0
20 Jul 2020
Impact of base dataset design on few-shot image classification
European Conference on Computer Vision (ECCV), 2020
Othman Sbai
Camille Couprie
Mathieu Aubry
VLM
158
25
0
17 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification
International Conference on Pattern Recognition (ICPR), 2020
Jiamei Sun
Sebastian Lapuschkin
Wojciech Samek
Yunqing Zhao
Ngai-Man Cheung
Alexander Binder
243
110
0
17 Jul 2020
Adaptive Task Sampling for Meta-Learning
European Conference on Computer Vision (ECCV), 2020
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Kun Zhang
Guosheng Lin
331
61
0
17 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yikai Wang
Li Zhang
Xingtai Lv
Yanwei Fu
330
54
0
15 Jul 2020
Concept Learners for Few-Shot Learning
Kaidi Cao
Maria Brbic
J. Leskovec
VLM
OffRL
244
5
0
14 Jul 2020
Top-Related Meta-Learning Method for Few-Shot Object Detection
Qian Li
Nan Guo
Xiaochun Ye
Duo Wang
Xiaochun Ye
Zhimin Tang
ObjD
VLM
206
0
0
14 Jul 2020
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner
European Conference on Computer Vision (ECCV), 2020
Eugene Lee
E. Chen
Chen-Yi Lee
181
189
0
14 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier
Myriam Bontonou
Louis Bethune
Vincent Gripon
161
4
0
08 Jul 2020
Few-Shot One-Class Classification via Meta-Learning
AAAI Conference on Artificial Intelligence (AAAI), 2019
A. Frikha
Denis Krompass
Hans-Georg Koepken
Volker Tresp
224
66
0
08 Jul 2020
Meta-Learning Symmetries by Reparameterization
Allan Zhou
Tom Knowles
Chelsea Finn
OOD
308
104
0
06 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning
Baoquan Zhang
Ka-Cheong Leung
Yunming Ye
Xutao Li
229
1
0
05 Jul 2020
A Few-Shot Sequential Approach for Object Counting
Negin Sokhandan
Pegah Kamousi
Alejandro Posada
Eniola Alese
Negar Rostamzadeh
192
3
0
03 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods
Zachary B. Charles
Jakub Konecný
FedML
225
57
0
02 Jul 2020
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
Xiang Wang
Shuai Yuan
Chenwei Wu
Rong Ge
302
16
0
30 Jun 2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
Pratik Mazumder
Pravendra Singh
Vinay P. Namboodiri
252
9
0
29 Jun 2020
Laplacian Regularized Few-Shot Learning
Imtiaz Masud Ziko
Jose Dolz
Mohammadhadi Shateri
Ismail Ben Ayed
308
197
0
28 Jun 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
Lu Liu
Wanrong Zhu
Guodong Long
Jing Jiang
Chengqi Zhang
170
31
0
28 Jun 2020
Projective Latent Interventions for Understanding and Fine-tuning Classifiers
A. Hinterreiter
M. Streit
Bernhard Kainz
BDL
139
5
0
23 Jun 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control
Ioannis Exarchos
M. Pereira
Ziyi Wang
Evangelos A. Theodorou
260
4
0
22 Jun 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection
Shivangi Aneja
Matthias Nießner
218
49
0
21 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh
Sharare Zehtabian
Saeed Vahidian
Weijia Wang
Bill Lin
Ladislau Bölöni
154
39
0
18 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
SSL
183
115
0
17 Jun 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches
Weihao Kong
Raghav Somani
Sham Kakade
Sewoong Oh
OOD
226
37
0
17 Jun 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples
Peyman Bateni
Jarred Barber
Jan-Willem van de Meent
Frank Wood
VLM
SSL
613
61
0
17 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann
E. R. Chan
Richard Tucker
Noah Snavely
Gordon Wetzstein
186
272
0
17 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Sungyong Seo
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
AI4CE
339
10
0
15 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression
Arun Venkitaraman
Anders Hansson
B. Wahlberg
281
8
0
12 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
Russell Mendonca
Xinyang Geng
Chelsea Finn
Sergey Levine
OOD
OffRL
273
40
0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
International Conference on Machine Learning (ICML), 2020
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
237
34
0
11 Jun 2020
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Andrei Boiarov
O. Granichin
O. Granichina
194
6
0
09 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
295
185
0
06 Jun 2020
High-order structure preserving graph neural network for few-shot learning
IEEE Internet of Things Journal (IEEE IoT J.), 2020
Guangfeng Lin
Ying Yang
Y. Fan
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
222
4
0
29 May 2020
A Concise Review of Recent Few-shot Meta-learning Methods
Xiaoxu Li
Z. Sun
Jing-Hao Xue
Zhanyu Ma
VLM
OffRL
207
139
0
22 May 2020
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing
Yixiong Zou
Shanghang Zhang
Ke Chen
Yonghong Tian
Yaowei Wang
J. M. F. Moura
180
32
0
12 May 2020
Memory-Augmented Relation Network for Few-Shot Learning
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Zhengjun Zha
Meng Wang
240
54
0
09 May 2020
Transforming task representations to perform novel tasks
Andrew Kyle Lampinen
James L. McClelland
231
5
0
08 May 2020
Addressing Catastrophic Forgetting in Few-Shot Problems
International Conference on Machine Learning (ICML), 2020
Pauching Yap
H. Ritter
David Barber
CLL
BDL
347
20
0
30 Apr 2020
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