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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
Invariant Meta Learning for Out-of-Distribution Generalization
Peng-Tao Jiang
Ke Xin
Zifeng Wang
Chunxi Li
OOD
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0
26 Jan 2023
Concept Discovery for Fast Adapatation
SDM (SDM), 2023
Shengyu Feng
Hanghang Tong
OffRL
207
0
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19 Jan 2023
Federated Automatic Differentiation
Keith Rush
Zachary B. Charles
Zachary Garrett
FedML
282
1
0
18 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
192
23
0
06 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
Image and Vision Computing (IVC), 2023
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
250
6
0
02 Jan 2023
Smooth Mathematical Function from Compact Neural Networks
I. K. Hong
148
0
0
31 Dec 2022
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers
Tomer Galanti
András Gyorgy
Marcus Hutter
VLM
SSL
256
5
0
23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
309
4
0
22 Dec 2022
Transformers learn in-context by gradient descent
International Conference on Machine Learning (ICML), 2022
J. Oswald
Eyvind Niklasson
E. Randazzo
João Sacramento
A. Mordvintsev
A. Zhmoginov
Max Vladymyrov
MLT
490
642
0
15 Dec 2022
Learning useful representations for shifting tasks and distributions
International Conference on Machine Learning (ICML), 2022
Jianyu Zhang
Léon Bottou
OOD
308
21
0
14 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation
Aniket Roy
Anshul B. Shah
Ketul Shah
Anirban Roy
Rama Chellappa
DiffM
237
0
0
11 Dec 2022
Activating the Discriminability of Novel Classes for Few-shot Segmentation
Dianwen Mei
Wei Zhuo
Jiandong Tian
Guangming Lu
Wenjie Pei
VLM
208
0
0
02 Dec 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
162
25
0
29 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Xiaoyue Duan
Guoliang Kang
Runqi Wang
Shumin Han
Shenjun Xue
Tian Wang
Baochang Zhang
126
2
0
28 Nov 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
Neural Information Processing Systems (NeurIPS), 2022
Stefan Stojanov
Anh Thai
Zixuan Huang
James M. Rehg
213
5
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28 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
382
2
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26 Nov 2022
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
Neural Information Processing Systems (NeurIPS), 2022
Zhizhou Ren
Hoang Trung-Dung
Yitao Liang
Jian-wei Peng
Jianzhu Ma
169
10
0
20 Nov 2022
Challenges in creative generative models for music: a divergence maximization perspective
Axel Chemla-Romeu-Santos
P. Esling
249
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16 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection
Neurocomputing (Neurocomputing), 2022
M. Zarei
Majid Komeili
FAtt
292
2
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16 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Ning Ding
Yulin Chen
Ganqu Cui
Xiaobin Wang
Haitao Zheng
Zhiyuan Liu
Pengjun Xie
165
12
0
10 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
ACM Multimedia (ACM MM), 2022
Jinxiang Lai
Siqian Yang
Guannan Jiang
Xi-Zhao Wang
Yuxi Li
...
Jing Liu
Bin-Bin Gao
Wei Zhang
Yuan Xie
Chengjie Wang
202
9
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02 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning
European Conference on Computer Vision (ECCV), 2022
Jinxiang Lai
Siqian Yang
Wenlong Liu
Yi Zeng
Zhongyi Huang
Wenlong Wu
Jun Liu
Bin-Bin Gao
Chengjie Wang
VLM
138
21
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02 Nov 2022
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings
Karthik Desingu
P. Mirunalini
Chandrabose Aravindan
156
4
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30 Oct 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Neural Information Processing Systems (NeurIPS), 2022
Jing Xu
Xu Luo
Xinglin Pan
Wenjie Pei
Yanan Li
Zenglin Xu
217
27
0
30 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions
IEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
356
62
0
24 Oct 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Medical Informatics Europe (MIE), 2022
Ömer Sümer
Fabio Hellmann
Alexander Hustinx
Tzung-Chien Hsieh
Elisabeth André
P. Krawitz
CVBM
248
7
0
23 Oct 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Chester Holtz
Tsui-Wei Weng
Zhengchao Wan
OOD
203
5
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20 Oct 2022
Hypernetworks in Meta-Reinforcement Learning
Conference on Robot Learning (CoRL), 2022
Jacob Beck
Matthew Jackson
Risto Vuorio
Shimon Whiteson
OffRL
225
39
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20 Oct 2022
LAVA: Label-efficient Visual Learning and Adaptation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Mehrtash Harandi
Gholamreza Haffari
VLM
197
1
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19 Oct 2022
Meta-Learning via Classifier(-free) Diffusion Guidance
Elvis Nava
Seijin Kobayashi
Yifei Yin
Robert K. Katzschmann
Benjamin Grewe
VLM
235
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17 Oct 2022
Prediction Calibration for Generalized Few-shot Semantic Segmentation
IEEE Transactions on Image Processing (IEEE TIP), 2022
Zhihe Lu
Sen He
Da Li
Yi-Zhe Song
Tao Xiang
ViT
136
28
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15 Oct 2022
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
130
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14 Oct 2022
Knowledge-Driven New Drug Recommendation
Zhenbang Wu
Huaxiu Yao
Zhe Su
David M. Liebovitz
Lucas Glass
James Zou
Chelsea Finn
Jimeng Sun
138
4
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11 Oct 2022
Stock Trading Volume Prediction with Dual-Process Meta-Learning
Ruibo Chen
Wei Li
Zhiyuan Zhang
Ruihan Bao
Keiko Harimoto
Xu Sun
AIFin
AI4TS
105
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11 Oct 2022
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning
ACM Multimedia (ACM MM), 2022
Linhai Zhuo
Yu Fu
Yue Yu
Yixin Cao
Yu-Gang Jiang
247
25
0
11 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning
ACM Multimedia (ACM MM), 2022
Yu Fu
Yu Xie
Yanwei Fu
Yue Yu
Yu-Gang Jiang
188
23
0
11 Oct 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
Neural Information Processing Systems (NeurIPS), 2022
Yixiong Zou
Shanghang Zhang
Yuhua Li
Rui Li
CLL
151
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10 Oct 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
Neural Information Processing Systems (NeurIPS), 2022
D. Guo
Longlong Tian
He Zhao
Mingyuan Zhou
H. Zha
OODD
179
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Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
217
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Hypernetwork approach to Bayesian MAML
Piotr Borycki
Piotr Kubacki
Marcin Przewiȩźlikowski
Tomasz Kuśmierczyk
Jacek Tabor
Przemysław Spurek
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174
2
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BaseTransformers: Attention over base data-points for One Shot Learning
British Machine Vision Conference (BMVC), 2022
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
196
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Meta-Ensemble Parameter Learning
Zhengcong Fei
Shuman Tian
Junshi Huang
Xiaoming Wei
Xiaolin K. Wei
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Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
Zican Zha
Hao Tang
Yunlian Sun
Jinhui Tang
251
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Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement
Chinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2022
Hongsheng Wang
Xiaoqi Zhao
Youwei Pang
Jinqing Qi
VLM
144
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An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
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Hesheng Xu
Faen Zhang
Yuxin Peng
Wei Zhou
225
21
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Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
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Vincent Gripon
Lucas Drumetz
Bartosz Bogusławski
219
1
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MAC: A Meta-Learning Approach for Feature Learning and Recombination
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M. Gogoi
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207
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Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
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S. Pateux
Vincent Gripon
219
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Few-Shot Classification with Contrastive Learning
European Conference on Computer Vision (ECCV), 2022
Zhanyuan Yang
Jinghua Wang
Ying J. Zhu
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Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition
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M. Han
Yibing Zhan
Yong Luo
Bo Du
Han Hu
Yonggang Wen
Dacheng Tao
171
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