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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
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning
Weihao Jiang
Yu Xie
Kun He
ViT
334
1
0
06 May 2024
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
IEEE transactions on multimedia (IEEE TMM), 2024
Hongyu Qu
Rui Yan
Xiangbo Shu
Haoliang Gao
Peng Huang
Guo-Sen Xie
447
16
0
03 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang
Haoxuan Li
Leilei Gan
Kun Kuang
OODD
283
18
0
30 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Zeynep Özdemir
H. Keles
Ö. Ö. Tanriöver
219
3
0
25 Apr 2024
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing
Thomas Ortner
Horst Petschenig
Athan Vasilopoulos
Roland Renner
Spela Brglez
Thomas Limbacher
Enrique Pinero
Alejandro Linares Barranco
A. Pantazi
Robert Legenstein
180
0
0
22 Apr 2024
SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models
Jiangyi Deng
Shengyuan Pang
Yanjiao Chen
Liangming Xia
Yijie Bai
Haiqin Weng
Wei Dong
AAML
283
15
0
19 Apr 2024
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
Selim Furkan Tekin
Fatih Ilhan
Tiansheng Huang
Sihao Hu
Ka-Ho Chow
Margaret Loper
Ling Liu
276
2
0
05 Apr 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
248
3
0
23 Mar 2024
Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition
Jielin Qiu
William Jongwon Han
Winfred Wang
Zhengyuan Yang
Linjie Li
Jianfeng Wang
Christos Faloutsos
Lei Li
Lijuan Wang
VLM
241
3
0
19 Mar 2024
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects
Pengfei Ding
Yan Wang
Guanfeng Liu
179
1
0
10 Mar 2024
Boosting Meta-Training with Base Class Information for Few-Shot Learning
Weihao Jiang
Guodong Liu
Di He
Kun He
CLL
280
1
0
06 Mar 2024
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
Yunwei Bai
Ying Kiat Tan
Tsuhan Chen
183
0
0
28 Feb 2024
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-Algebraic Machine Learning: Moving in a New Direction
Yuka Hashimoto
Masahiro Ikeda
Hachem Kadri
311
2
0
04 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis
Hadi Jamali Rad
273
7
0
04 Feb 2024
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning
Maofa Wang
Bingchen Yan
226
0
0
24 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
A. Mottaghi
Mohammad Abdullah Jamal
Serena Yeung
Omid Mohareri
170
1
0
23 Jan 2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition
IEEE transactions on multimedia (IEEE TMM), 2024
Hefeng Wu
Guangzhi Ye
Ziyang Zhou
Ling Tian
Qing Wang
Liang Lin
188
5
0
13 Jan 2024
Any-Way Meta Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Junhoo Lee
Yearim Kim
Hyunho Lee
Nojun Kwak
135
2
0
10 Jan 2024
Does Few-shot Learning Suffer from Backdoor Attacks?
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xinwei Liu
Yang Liu
Jindong Gu
Yuan Xun
Yaning Tan
Simeng Qin
247
23
0
31 Dec 2023
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality
Yaqing Hou
Mingyang Sun
Abhishek Gupta
Yaochu Jin
Haiyin Piao
Hong-Wei Ge
Qiang Zhang
144
3
0
30 Dec 2023
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
Padmaksha Roy
Tyler Cody
Himanshu Singhal
Kevin Choi
Ming Jin
OOD
460
1
0
28 Dec 2023
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning
Shuangmei Wang
Yang Cao
Tieru Wu
CLL
309
1
0
07 Dec 2023
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CP
M
2
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2
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Fei-Yu Guo
Li Zhu
YiKang Wang
Han Qi
274
8
0
02 Dec 2023
Simple Semantic-Aided Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Hai Zhang
Junzhe Xu
Shanlin Jiang
Zhenan He
VLM
325
31
0
30 Nov 2023
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation
Jiahui Wang
Qin Xu
Bo Jiang
Bin Luo
245
0
0
28 Nov 2023
Query by Activity Video in the Wild
International Conference on Information Photonics (ICIP), 2023
Tao Hu
William Thong
Pascal Mettes
Cees G. M. Snoek
223
0
0
23 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang
Aly A. Khan
Yuxin Chen
Robert L. Grossman
268
0
0
09 Nov 2023
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
Annie S. Chen
Govind Chada
Laura M. Smith
Archit Sharma
Zipeng Fu
Sergey Levine
Chelsea Finn
479
9
0
02 Nov 2023
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jiayi Chen
H. Dai
Bo Dai
Aidong Zhang
Wei Wei
285
3
0
01 Nov 2023
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
Computer Vision and Image Understanding (CVIU), 2023
Min Jae Jung
S. Han
Joohee Kim
377
22
0
01 Nov 2023
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning
Fuyuan Hu
Jian Zhang
Fan Lyu
Linyan Li
Fenglei Xu
CLL
261
4
0
31 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Neural Information Processing Systems (NeurIPS), 2023
Jiayi Shen
Xiantong Zhen
Qi
Qi Wang
M. Worring
222
14
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28 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Neural Information Processing Systems (NeurIPS), 2023
Huiwon Jang
Jihoon Tack
Daewon Choi
Jongheon Jeong
Jinwoo Shin
204
6
0
25 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Pierre Colombo
Victor Pellegrain
Malik Boudiaf
Victor Storchan
Myriam Tami
Ismail Ben Ayed
C´eline Hudelot
Pablo Piantanida
220
8
0
21 Oct 2023
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning
Atik Faysal
Mohammad Rostami
Huaxia Wang
Avimanyu Sahoo
Ryan Antle
136
0
0
19 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning
Machine-mediated learning (ML), 2023
Mike Huisman
Aske Plaat
Jan N. van Rijn
VLM
226
4
0
13 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
Machine-mediated learning (ML), 2023
Mike Huisman
Aske Plaat
Jan N. van Rijn
MLT
192
11
0
09 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
Neural Information Processing Systems (NeurIPS), 2023
Junhoo Lee
Jayeon Yoo
Nojun Kwak
248
2
0
04 Oct 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Neural Information Processing Systems (NeurIPS), 2023
Jacob Beck
Risto Vuorio
Zheng Xiong
Shimon Whiteson
344
14
0
26 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Neural Information Processing Systems (NeurIPS), 2023
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
380
88
0
25 Sep 2023
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
IEEE Transactions on Image Processing (IEEE TIP), 2023
Zhimeng Xin
Tianxu Wu
Shiming Chen
Yixiong Zou
Ling Shao
Xinge You
178
13
0
15 Sep 2023
Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning
Riti Paul
Sahil Vora
Baoxin Li
289
0
0
13 Sep 2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning
Siyang Jiang
Rui Fang
Hsi-Wen Chen
Wei Ding
Ming-Syan Chen
228
2
0
05 Sep 2023
Linear Regression using Heterogeneous Data Batches
Neural Information Processing Systems (NeurIPS), 2023
Ayush Jain
Rajat Sen
Weihao Kong
Abhimanyu Das
A. Orlitsky
158
3
0
05 Sep 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement
ACM Multimedia (ACM MM), 2023
Zhen-Hu Ning
Zhuotao Tian
Guangming Lu
Wenjie Pei
3DPC
234
27
0
06 Aug 2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
Hengchu Lu
Yuanjie Shao
Xiang Wang
Changxin Gao
204
2
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01 Aug 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Baoquan Zhang
Chuyao Luo
Demin Yu
Huiwei Lin
Xutao Li
Yunming Ye
Bowen Zhang
DiffM
461
73
0
31 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
Neural Information Processing Systems (NeurIPS), 2023
Kai Zheng
Huishuai Zhang
Weiran Huang
229
12
0
28 Jul 2023
Cos R-CNN for Online Few-shot Object Detection
G. P. Data
Henry Howard-Jenkins
D. W. Murray
V. Prisacariu
ObjD
105
1
0
25 Jul 2023
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition
Z. Zhu
Changhao Shan
Bihong Zhang
Jian Yu
126
0
0
23 Jul 2023
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