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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
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers
  for Few-Shot Classification
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Xixi Wang
Tianlin Li
Bo Jiang
Bin Luo
294
57
0
26 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot
  Classification
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot ClassificationIEEE Transactions on Image Processing (IEEE TIP), 2022
Yunqing Zhao
Ngai-Man Cheung
BDL
268
19
0
23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDLVLM
284
18
0
22 Aug 2022
HyperTime: Implicit Neural Representation for Time Series
HyperTime: Implicit Neural Representation for Time Series
Elizabeth Fons
Alejandro Sztrajman
Yousef El-Laham
Alexandros Iosifidis
Svitlana Vyetrenko
AI4TS
155
30
0
11 Aug 2022
Memorizing Complementation Network for Few-Shot Class-Incremental
  Learning
Memorizing Complementation Network for Few-Shot Class-Incremental LearningIEEE Transactions on Image Processing (IEEE TIP), 2022
Zhong Ji
Zhi Hou
Xiyao Liu
Yanwei Pang
Xuelong Li
CLL
161
64
0
11 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen Ma
Zixuan Liu
Xue Liu
507
45
0
24 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Kernel Relative-prototype Spectral Filtering for Few-shot LearningEuropean Conference on Computer Vision (ECCV), 2022
Tao Zhang
Wu Huang
184
16
0
24 Jul 2022
Self-Support Few-Shot Semantic Segmentation
Self-Support Few-Shot Semantic SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Qi Fan
Wenjie Pei
Yu-Wing Tai
Chi-Keung Tang
246
190
0
23 Jul 2022
Inductive and Transductive Few-Shot Video Classification via Appearance
  and Temporal Alignments
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal AlignmentsEuropean Conference on Computer Vision (ECCV), 2022
Khoi Duc Minh Nguyen
Quoc-Huy Tran
Khoi Nguyen
Binh-Son Hua
Rang Nguyen
276
38
0
21 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner
Self-Supervision Can Be a Good Few-Shot LearnerEuropean Conference on Computer Vision (ECCV), 2022
Yuning Lu
Liangjiang Wen
Jianzhuang Liu
Yajing Liu
Xinmei Tian
SSL
245
50
0
19 Jul 2022
Few-shot Open-set Recognition Using Background as Unknowns
Few-shot Open-set Recognition Using Background as UnknownsACM Multimedia (ACM MM), 2022
Nan Song
Chi Zhang
Guosheng Lin
VLMSSL
155
15
0
19 Jul 2022
Bayesian Evidential Learning for Few-Shot Classification
Bayesian Evidential Learning for Few-Shot Classification
Xiongkun Linghu
Yan Bai
Yihang Lou
Shengsen Wu
Jinze Li
Jianzhong He
Tao Bai
BDLEDLUQCV
147
2
0
19 Jul 2022
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and
  Aligned Representations
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned RepresentationsEuropean Conference on Computer Vision (ECCV), 2022
Wentao Chen
Zheng Zhang
Wei Wang
Liang Wang
Zilei Wang
Tieniu Tan
194
11
0
16 Jul 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical
  Aggregation
Tree Structure-Aware Few-Shot Image Classification via Hierarchical AggregationEuropean Conference on Computer Vision (ECCV), 2022
Hao Fei
Siteng Huang
Wenbin Li
Xuetao Zhang
VLM
147
35
0
14 Jul 2022
Few-Example Clustering via Contrastive Learning
Few-Example Clustering via Contrastive Learning
M-U Jang
Sae-Young Chung
184
0
0
08 Jul 2022
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners
Davis Wertheimer
Luming Tang
Bharath Hariharan
280
0
0
07 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval
Adaptive Fine-Grained Sketch-Based Image RetrievalEuropean Conference on Computer Vision (ECCV), 2022
A. Bhunia
Aneeshan Sain
Parth Shah
Animesh Gupta
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
439
24
0
04 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for
  Few-Shot Fine-Grained Image Classification
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image ClassificationACM Multimedia (ACM MM), 2022
Bo Zhang
Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
Ding Wang
ViT
272
42
0
02 Jul 2022
$C^*$-algebra Net: A New Approach Generalizing Neural Network Parameters
  to $C^*$-algebra
C∗C^*C∗-algebra Net: A New Approach Generalizing Neural Network Parameters to C∗C^*C∗-algebra
Yuka Hashimoto
Zhao Wang
Tomoko Matsui
141
9
0
20 Jun 2022
EEML: Ensemble Embedded Meta-learning
EEML: Ensemble Embedded Meta-learningWISE (WISE), 2022
Geng Li
Boyuan Ren
Hongzhi Wang
FedML
192
2
0
18 Jun 2022
Provable Generalization of Overparameterized Meta-learning Trained with
  SGD
Provable Generalization of Overparameterized Meta-learning Trained with SGDNeural Information Processing Systems (NeurIPS), 2022
Yu Huang
Yingbin Liang
Longbo Huang
MLT
289
13
0
18 Jun 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot
  Classification
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification
Xueliang Wang
Jianyu Cai
Shuiwang Ji
Houqiang Li
Feng Wu
Jie Wang
108
0
0
16 Jun 2022
Channel Importance Matters in Few-Shot Image Classification
Channel Importance Matters in Few-Shot Image ClassificationInternational Conference on Machine Learning (ICML), 2022
Xu Luo
Jing Xu
Zenglin Xu
VLM
245
56
0
16 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone
  fine-tuning without episodic meta-learning dominates for few-shot learning
  image classification
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classificationNeural Information Processing Systems (NeurIPS), 2022
Adrian El Baz
Ihsan Ullah
Edesio Alcobaça
André C. P. L. F. de Carvalho
Hong Chen
...
Ekrem Öztürk
J. V. Rijn
Haozhe Sun
Xin Wang
Wenwu Zhu
219
13
0
15 Jun 2022
Rethinking Generalization in Few-Shot Classification
Rethinking Generalization in Few-Shot ClassificationNeural Information Processing Systems (NeurIPS), 2022
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCLVLM
346
84
0
15 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot
  Adaptation
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot AdaptationNeural Information Processing Systems (NeurIPS), 2022
Markus Hiller
Mehrtash Harandi
Tom Drummond
AI4CE
144
9
0
15 Jun 2022
Singular Value Fine-tuning: Few-shot Segmentation requires
  Few-parameters Fine-tuning
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuningNeural Information Processing Systems (NeurIPS), 2022
Yanpeng Sun
Qiang Chen
Xiangyu He
Jian Wang
Haocheng Feng
Junyu Han
Errui Ding
Jian Cheng
Zechao Li
Jingdong Wang
240
75
0
13 Jun 2022
Meta Optimal Transport
Meta Optimal TransportInternational Conference on Machine Learning (ICML), 2022
Brandon Amos
Samuel N. Cohen
Giulia Luise
I. Redko
OT
315
27
0
10 Jun 2022
Learning the Space of Deep Models
Learning the Space of Deep ModelsInternational Conference on Pattern Recognition (ICPR), 2022
G. Berardi
Luca de Luigi
Samuele Salti
Luigi Di Stefano
SSL
128
3
0
10 Jun 2022
Learning to generate imaginary tasks for improving generalization in
  meta-learning
Learning to generate imaginary tasks for improving generalization in meta-learning
Yichen Wu
Long-Kai Huang
Ying Wei
OOD
116
0
0
09 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution
  Samples
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution SamplesNeural Information Processing Systems (NeurIPS), 2022
Duong H. Le
Khoi Duc Minh Nguyen
Khoi Nguyen
Quoc-Huy Tran
Rang Nguyen
Binh-Son Hua
OODD
177
41
0
08 Jun 2022
FHIST: A Benchmark for Few-shot Classification of Histological Images
FHIST: A Benchmark for Few-shot Classification of Histological Images
Fereshteh Shakeri
Malik Boudiaf
S. Mohammadi
Ivaxi Sheth
Mohammad Havaei
Ismail Ben Ayed
Samira Ebrahimi Kahou
OODVLM
181
28
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
348
55
0
30 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image
  Classification
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification
Zaiyun Yang
VLMDRL
180
1
0
30 May 2022
PREF: Phasorial Embedding Fields for Compact Neural Representations
PREF: Phasorial Embedding Fields for Compact Neural Representations
Binbin Huang
Xinhao Yan
Anpei Chen
Shenghua Gao
Jingyi Yu
343
14
0
26 May 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning
Set-based Meta-Interpolation for Few-Task Meta-LearningNeural Information Processing Systems (NeurIPS), 2022
Seanie Lee
Bruno Andreis
Kenji Kawaguchi
Juho Lee
Sung Ju Hwang
221
12
0
20 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
368
562
0
13 May 2022
Beyond backpropagation: bilevel optimization through implicit
  differentiation and equilibrium propagation
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagationNeural Computation (Neural Comput.), 2022
Nicolas Zucchet
João Sacramento
367
32
0
06 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges,
  Enablers, and Future Directions for Orchestration
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen
Lauri Lovén
Naser Hossein Motlagh
Abhishek Kumar
Juha Partala
...
M. Bennis
Sasu Tarkoma
Schahram Dustdar
Susanna Pirttikangas
J. Riekki
341
35
0
03 May 2022
Meta-free few-shot learning via representation learning with weight
  averaging
Meta-free few-shot learning via representation learning with weight averagingIEEE International Joint Conference on Neural Network (IJCNN), 2022
Kuilin Chen
Chi-Guhn Lee
192
6
0
26 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning
Realistic Evaluation of Transductive Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2022
Olivier Veilleux
Malik Boudiaf
Pablo Piantanida
Ismail Ben Ayed
204
43
0
24 Apr 2022
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained
  Visual Recognition
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
GAN
146
18
0
22 Apr 2022
Neural Processes with Stochastic Attention: Paying more attention to the
  context dataset
Neural Processes with Stochastic Attention: Paying more attention to the context datasetInternational Conference on Learning Representations (ICLR), 2022
Mingyu Kim
Kyeongryeol Go
Se-Young Yun
149
20
0
11 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction
  with Selected Sampling
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected SamplingAAAI Conference on Artificial Intelligence (AAAI), 2022
R. Tao
Han Zhang
Yutong Zheng
Marios Savvides
238
25
0
07 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
204
12
0
07 Apr 2022
Context-aware Visual Tracking with Joint Meta-updating
Context-aware Visual Tracking with Joint Meta-updating
Qiuhong Shen
Xin Li
Fanyang Meng
Yongsheng Liang
163
3
0
04 Apr 2022
Attribute Prototype Network for Any-Shot Learning
Attribute Prototype Network for Any-Shot LearningInternational Journal of Computer Vision (IJCV), 2022
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
184
45
0
04 Apr 2022
Learning to Accelerate by the Methods of Step-size Planning
Learning to Accelerate by the Methods of Step-size Planning
Hengshuai Yao
393
0
0
01 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation
Integrative Few-Shot Learning for Classification and SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
Dahyun Kang
Minsu Cho
VLM
232
75
0
29 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
Doodle It Yourself: Class Incremental Learning by Drawing a Few SketchesComputer Vision and Pattern Recognition (CVPR), 2022
A. Bhunia
Viswanatha Reddy Gajjala
Subhadeep Koley
Rohit Kundu
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
CLL
246
33
0
28 Mar 2022
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