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Meta-Learning with Latent Embedding Optimization

Meta-Learning with Latent Embedding Optimization

16 July 2018
Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
R. Hadsell
ArXivPDFHTML

Papers citing "Meta-Learning with Latent Embedding Optimization"

50 / 318 papers shown
Title
Fine-Grained Few Shot Learning with Foreground Object Transformation
Fine-Grained Few Shot Learning with Foreground Object Transformation
Chaofei Wang
S. Song
Qisen Yang
Xiang Li
Gao Huang
55
23
0
13 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
...
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
VLM
137
66
0
10 Sep 2021
Bootstrapped Meta-Learning
Bootstrapped Meta-Learning
Sebastian Flennerhag
Yannick Schroecker
Tom Zahavy
Hado van Hasselt
David Silver
Satinder Singh
47
59
0
09 Sep 2021
Adaptation-Agnostic Meta-Training
Adaptation-Agnostic Meta-Training
Jiaxin Chen
Li-Ming Zhan
Xiao-Ming Wu
K. F. Chung
42
0
0
24 Aug 2021
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot Classification
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
44
185
0
22 Aug 2021
Fairness-Aware Online Meta-learning
Fairness-Aware Online Meta-learning
Chengli Zhao
Feng Chen
B. Thuraisingham
FaML
42
34
0
21 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer
  Them
The Role of Global Labels in Few-Shot Classification and How to Infer Them
Ruohan Wang
Massimiliano Pontil
C. Ciliberto
VLM
43
17
0
09 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold
Transductive Few-Shot Classification on the Oblique Manifold
Guodong Qi
Huimin Yu
Zhaohui Lu
Shuzhao Li
24
45
0
09 Aug 2021
One-Shot Object Affordance Detection in the Wild
One-Shot Object Affordance Detection in the Wild
Wei Zhai
Hongcheng Luo
Jing Zhang
Yang Cao
Dacheng Tao
79
44
0
08 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu
Xiangxi Shi
Guosheng lin
Jianfei Cai
VLM
85
108
0
06 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms
Few-Shot and Continual Learning with Attentive Independent Mechanisms
Eugene Lee
Cheng-Han Huang
Chen-Yi Lee
CLL
23
25
0
29 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property
  Prediction
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang
Abulikemu Abuduweili
Quanming Yao
Dejing Dou
47
69
0
16 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
47
88
0
16 Jul 2021
A Channel Coding Benchmark for Meta-Learning
A Channel Coding Benchmark for Meta-Learning
Rui Li
Ondrej Bohdal
Rajesh K. Mishra
Hyeji Kim
Da Li
Nicholas D. Lane
Timothy M. Hospedales
36
9
0
15 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
208
104
0
15 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
39
1
0
05 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
47
43
0
02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-domain Few-shot Learning with Task-specific Adapters
Weihong Li
Xialei Liu
Hakan Bilen
OOD
45
113
0
01 Jul 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and
  Partial Modality Absent Few-Shot Learning
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Yi Zhang
Sheng Huang
Xiao-song Peng
Dan Yang
38
9
0
28 Jun 2021
Mutual-Information Based Few-Shot Classification
Mutual-Information Based Few-Shot Classification
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Pablo Piantanida
VLM
40
2
0
23 Jun 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction
  for Few-Shot Classification
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
Dong Lee
Sae-Young Chung
47
20
0
22 Jun 2021
Trainable Class Prototypes for Few-Shot Learning
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li
Guizhong Liu
VLM
24
2
0
21 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive
  Few-shot Learning
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Chaofan CHEN
Xiaoshan Yang
Changsheng Xu
Xuhui Huang
Zhe Ma
38
50
0
16 Jun 2021
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot
  Learning Across Modalities
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
Jiayi Chen
Aidong Zhang
32
15
0
17 May 2021
Towards Dynamic Feature Selection with Attention to Assist Banking
  Customers in Establishing a New Business
Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business
M. Edrisi
32
0
0
09 May 2021
Stateless Neural Meta-Learning using Second-Order Gradients
Stateless Neural Meta-Learning using Second-Order Gradients
Mike Huisman
Aske Plaat
Jan N. van Rijn
39
7
0
21 Apr 2021
Few-shot Learning for Topic Modeling
Few-shot Learning for Topic Modeling
Tomoharu Iwata
BDL
33
6
0
19 Apr 2021
Few-Shot Action Recognition with Compromised Metric via Optimal
  Transport
Few-Shot Action Recognition with Compromised Metric via Optimal Transport
Su Lu
Han-Jia Ye
De-Chuan Zhan
40
18
0
08 Apr 2021
A Student-Teacher Architecture for Dialog Domain Adaptation under the
  Meta-Learning Setting
A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting
Kun Qian
Wei Wei
Zhou Yu
46
8
0
06 Apr 2021
When Few-Shot Learning Meets Video Object Detection
When Few-Shot Learning Meets Video Object Detection
Zhongjie Yu
Gaoang Wang
Lin Chen
S. Raschka
Jiebo Luo
ObjD
43
1
0
26 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
C. Xu
Chen Liu
Li Zhang
Chengjie Wang
Jilin Li
Feiyue Huang
Xiangyang Xue
Yanwei Fu
37
103
0
25 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor
  Neural Network
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Yang Liu
Tu Zheng
Mingli Song
Deng Cai
Xiaofei He
43
25
0
15 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with
  Self-supervision
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Hainan Li
Renshuai Tao
Jun Li
Haotong Qin
Yifu Ding
Shuo Wang
Xianglong Liu
SSL
32
8
0
10 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun
Banghuai Li
Shengcai Cai
Ye Yuan
Chi Zhang
52
370
0
10 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
44
41
0
05 Mar 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Shunyu Jiang
Fuli Feng
Weijia Chen
Xiang Li
Xiangnan He
46
18
0
05 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant
  Representations for Few-Shot Learning
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
Mamshad Nayeem Rizve
Salman Khan
Fahad Shahbaz Khan
M. Shah
46
109
0
01 Mar 2021
Meta-Learning Dynamics Forecasting Using Task Inference
Meta-Learning Dynamics Forecasting Using Task Inference
Rui Wang
Robin Walters
Rose Yu
OOD
AI4TS
AI4CE
34
32
0
20 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a
  Unified Perspective: A Survey and Beyond
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
75
223
0
27 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
N. Simard
Guillaume Lagrange
SSL
21
5
0
24 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot
  Learning
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
68
35
0
23 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
223
324
0
16 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Xueting Zhang
Debin Meng
Henry Gouk
Timothy M. Hospedales
BDL
UQCV
46
69
0
08 Jan 2021
Personalized Adaptive Meta Learning for Cold-start User Preference
  Prediction
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
Runsheng Yu
Yu Gong
Xu He
Bo An
Yu Zhu
Qingwen Liu
Wenwu Ou
35
57
0
22 Dec 2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
Huaxi Huang
Junjie Zhang
Jian Zhang
Qiang Wu
Chang Xu
49
24
0
20 Dec 2020
Few-shot Sequence Learning with Transformers
Few-shot Sequence Learning with Transformers
Lajanugen Logeswaran
Ann Lee
Myle Ott
Honglak Lee
MarcÁurelio Ranzato
Arthur Szlam
ViT
49
12
0
17 Dec 2020
Policy Manifold Search for Improving Diversity-based Neuroevolution
Policy Manifold Search for Improving Diversity-based Neuroevolution
Nemanja Rakićević
Antoine Cully
Petar Kormushev
37
0
0
15 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
68
61
0
14 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification
Meta-Generating Deep Attentive Metric for Few-shot Classification
Lei Zhang
Fei Zhou
Wei Wei
Yanning Zhang
VLM
49
28
0
03 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning
ReMP: Rectified Metric Propagation for Few-Shot Learning
Yang Zhao
Chunyuan Li
Ping Yu
Changyou Chen
37
6
0
02 Dec 2020
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