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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
Sketch3T: Test-Time Training for Zero-Shot SBIR
Computer Vision and Pattern Recognition (CVPR), 2022
Aneeshan Sain
A. Bhunia
Vaishnav Potlapalli
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
VLM
273
65
0
28 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
Asian Conference on Computer Vision (ACCV), 2022
Jaeyoo Park
Junha Kim
Bohyung Han
OffRL
211
7
0
25 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Marcin Sendera
Marcin Przewiȩźlikowski
Konrad Karanowski
Maciej Ziȩba
Jacek Tabor
Przemysław Spurek
VLM
226
36
0
21 Mar 2022
Multi-similarity based Hyperrelation Network for few-shot segmentation
IET Image Processing (IIP), 2022
Xian Shi
Zhe Cui
Shaobing Zhang
Miao Cheng
L. He
Xianghong Tang
252
8
0
17 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu
Lei Xing
Shuai Shao
Lifei Zhao
Baodi Liu
Weifeng Liu
Yicong Zhou
366
24
0
15 Mar 2022
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
Yuqian Fu
Yu Xie
Yanwei Fu
Yue Yu
Yu-Gang Jiang
211
28
0
15 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer
European Conference on Computer Vision (ECCV), 2022
Bowen Dong
Pan Zhou
Shuicheng Yan
W. Zuo
ViT
184
52
0
14 Mar 2022
Worst Case Matters for Few-Shot Recognition
European Conference on Computer Vision (ECCV), 2022
Minghao Fu
Yunhao Cao
Jianxin Wu
204
8
0
13 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
337
250
0
07 Mar 2022
Automated Few-Shot Time Series Forecasting based on Bi-level Programming
Jiangjiao Xu
Ke Li
AI4TS
196
2
0
07 Mar 2022
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning
Baoquan Zhang
Hao Jiang
Xutao Li
Shanshan Feng
Yunming Ye
Rui Ye
278
5
0
03 Mar 2022
Continuous-Time Meta-Learning with Forward Mode Differentiation
International Conference on Learning Representations (ICLR), 2022
T. Deleu
David Kanaa
Leo Feng
Giancarlo Kerg
Yoshua Bengio
Guillaume Lajoie
Pierre-Luc Bacon
266
21
0
02 Mar 2022
Combining Modular Skills in Multitask Learning
Edoardo Ponti
Alessandro Sordoni
Yoshua Bengio
Siva Reddy
MoE
309
42
0
28 Feb 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning
International Conference on Information Photonics (ICIP), 2022
M. Zarei
Majid Komeili
127
4
0
27 Feb 2022
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
International Conference on Learning Representations (ICLR), 2022
Jiawei Yang
Hanbo Chen
Jiangpeng Yan
Xiaoyu Chen
Jianhua Yao
VLM
145
23
0
18 Feb 2022
Semantically Proportional Patchmix for Few-Shot Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jingquan Wang
Jing Xu
Yu Pan
Zenglin Xu
VLM
134
1
0
17 Feb 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
Pamul Yadav
Ashutosh Mishra
Junyong Lee
Shiho Kim
OffRL
AI4CE
239
13
0
17 Feb 2022
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation
Jun Seo
Younghyun Park
Sung Whan Yoon
Jaekyun Moon
ViT
144
6
0
14 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yadan Luo
Zijian Wang
Zhuoxiao Chen
Zi Huang
Mahsa Baktashmotlagh
AI4CE
247
44
0
13 Feb 2022
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system
Haoyang Cao
Xin Guo
Guan Wang
AI4TS
201
10
0
11 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Chunwei Ma
Ziyun Huang
Mingchen Gao
Jinhui Xu
195
5
0
05 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks
Lang Liu
M. M. Fard
Sen Zhao
OOD
227
5
0
04 Feb 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model
International Conference on Machine Learning (ICML), 2022
Matthieu Kirchmeyer
Yuan Yin
Jérémie Donà
Nicolas Baskiotis
A. Rakotomamonjy
Patrick Gallinari
OOD
AI4CE
258
49
0
01 Feb 2022
Tutorial on amortized optimization
Brandon Amos
OffRL
825
77
0
01 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
International Conference on Machine Learning (ICML), 2022
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
178
6
0
30 Jan 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Neural Information Processing Systems (NeurIPS), 2022
Jixuan Wang
Kuan-Chieh Wang
Frank Rudzicz
M. Brudno
VLM
150
24
0
27 Jan 2022
PaRT: Parallel Learning Towards Robust and Transparent AI
Mahsa Paknezhad
Hamsawardhini Rengarajan
Chenghao Yuan
Sujanya Suresh
Manas Gupta
Savitha Ramasamy
Hwee Kuan Lee
OOD
189
1
0
24 Jan 2022
Multi-level Second-order Few-shot Learning
IEEE transactions on multimedia (IEEE TMM), 2022
Hongguang Zhang
Hongdong Li
Piotr Koniusz
190
39
0
15 Jan 2022
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
204
134
0
15 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
Social Science Research Network (SSRN), 2022
Peyman Bateni
Jarred Barber
Raghav Goyal
Vaden Masrani
Jan-Willem van de Meent
Leonid Sigal
Frank Wood
BDL
VLM
215
10
0
13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
International Conference on Machine Learning (ICML), 2022
A. Zhmoginov
Mark Sandler
Max Vladymyrov
ViT
371
78
0
11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples
Neurocomputing (Neurocomputing), 2022
Orhun Bugra Baran
Ramazan Gokberk Cinbics
260
5
0
09 Jan 2022
On the Role of Neural Collapse in Transfer Learning
International Conference on Learning Representations (ICLR), 2021
Tomer Galanti
András Gyorgy
Marcus Hutter
SSL
268
106
0
30 Dec 2021
Associative Adversarial Learning Based on Selective Attack
Runqi Wang
Xiaoyue Duan
Baochang Zhang
Shenjun Xue
Wentao Zhu
David Doermann
G. Guo
AAML
276
0
0
28 Dec 2021
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
AAAI Conference on Artificial Intelligence (AAAI), 2021
Ta-Ying Cheng
Hsuan-ru Yang
Niki Trigoni
Hwann-Tzong Chen
Tyng-Luh Liu
143
9
0
23 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Bingbin Li
E. Cui
Yanan Li
Donghui Wang
Weng Kee Wong
197
1
0
23 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLM
BDL
332
21
0
15 Dec 2021
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan
Yanchao Yang
Kaichun Mo
Yueqi Duan
Leonidas Guibas
OCL
184
1
0
15 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification
Jing Xu
Xinglin Pan
Xu Luo
Wenjie Pei
Zenglin Xu
144
5
0
14 Dec 2021
Long-tail Recognition via Compositional Knowledge Transfer
Sarah Parisot
P. Esperança
Jingyu Sun
T. Madarász
Yongxin Yang
Zhenguo Li
283
31
0
13 Dec 2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning
European Conference on Computer Vision (ECCV), 2021
Rongkai Ma
Pengfei Fang
Gilat Avraham
Yan Zuo
Tianyu Zhu
Tom Drummond
Mehrtash Harandi
VLM
172
15
0
07 Dec 2021
Label Hallucination for Few-Shot Classification
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yiren Jian
Lorenzo Torresani
246
46
0
06 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma
Pengfei Fang
Tom Drummond
Mehrtash Harandi
212
51
0
03 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
Shuai Shao
Lei Xing
Rui Xu
Weifeng Liu
Yanjiang Wang
Baodi Liu
479
32
0
01 Dec 2021
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective
Xin Li
Xin Jin
Jun Fu
Xiaoyuan Yu
Bei Tong
Zhibo Chen
SupR
161
2
0
25 Nov 2021
Reviewing continual learning from the perspective of human-level intelligence
Yifan Chang
Wenbo Li
Jian Peng
Bo Tang
Yuzhi Kang
Yinjie Lei
Yuanmiao Gui
Qing Zhu
Yu Liu
Haifeng Li
207
4
0
23 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
IEEE Access (IEEE Access), 2021
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
Chinedum Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
296
59
0
09 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
167
12
0
09 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Fengyuan Yang
Ruiping Wang
Xilin Chen
VLM
177
41
0
08 Nov 2021
Learning to Rectify for Robust Learning with Noisy Labels
Haoliang Sun
Chenhui Guo
Qinglai Wei
Zhongyi Han
Yilong Yin
NoLa
301
42
0
08 Nov 2021
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