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1812.02391
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Meta-Transfer Learning for Few-Shot Learning
6 December 2018
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
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Papers citing
"Meta-Transfer Learning for Few-Shot Learning"
50 / 419 papers shown
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Ying Kiat Tan
Tsuhan Chen
180
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Richard Kang
Asaf Liberman
Oron Levy
Jun Gong
Abdelkareem Bedri
Gierad Laput
189
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13 Feb 2024
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
Knowledge-Based Systems (KBS), 2024
Naeem Paeedeh
Mahardhika Pratama
M. A. Ma'sum
Wolfgang Mayer
Zehong Cao
Ryszard Kowlczyk
248
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25 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
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Serena Yeung
Omid Mohareri
166
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23 Jan 2024
Challenge design roadmap
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Walter Reade
Sébastien Treguer
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178
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15 Jan 2024
Self Supervised Vision for Climate Downscaling
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Karandeep Singh
Chaeyoon Jeong
Naufal Shidqi
Sungwon Park
A. Nellikkattil
Elke Zeller
Meeyoung Cha
AI4Cl
219
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0
09 Jan 2024
Marginal Debiased Network for Fair Visual Recognition
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Mei Wang
Weihong Deng
Sen Su
280
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04 Jan 2024
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
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H. Greenspan
Raja Giryes
206
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26 Dec 2023
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
Jie Han
Yixiong Zou
Yining Qi
Jun Wang
Wei Liu
Yao Wu
Tao Zhang
Ruixuan Li
VLM
180
3
0
21 Dec 2023
Improving Cross-domain Few-shot Classification with Multilayer Perceptron
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Shuanghao Bai
Wanqi Zhou
Zhirong Luan
Donglin Wang
Badong Chen
213
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334
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Shiyu Xia
Miaosen Zhang
Xu Yang
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Haokun Chen
Xin Geng
191
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09 Dec 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction
ACM Multimedia (ACM MM), 2023
Luojun Lin
Zhifeng Shen
Jia-Li Yin
Qipeng Liu
Yuanlong Yu
Weijie Chen
CVBM
177
4
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23 Nov 2023
Few-Shot Classification & Segmentation Using Large Language Models Agent
Tian Meng
Yang Tao
Wuliang Yin
VLM
256
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19 Nov 2023
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation
Chenwei Tang
Wenqiang Zhou
Dong Wang
Caiyang Yu
Zhenan He
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Shudong Huang
Yi Gao
Jianming Chen
Wentao Feng
Jiancheng Lv
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231
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07 Nov 2023
Deep Learning for Spatiotemporal Big Data: A Vision on Opportunities and Challenges
Zhe Jiang
135
1
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30 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
216
8
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21 Oct 2023
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Atik Faysal
Mohammad Rostami
Huaxia Wang
Avimanyu Sahoo
Ryan Antle
127
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19 Oct 2023
New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming
Ouya Wang
Shenglong Zhou
Geoffrey Ye Li
118
5
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18 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning
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Mike Huisman
Aske Plaat
Jan N. van Rijn
VLM
211
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0
13 Oct 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
175
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15 Sep 2023
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
IEEE International Conference on Computer Vision (ICCV), 2023
Zhicun Yin
Ming-Yu Liu
Xiaoming Li
Hui Yang
Longan Xiao
W. Zuo
3DH
165
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15 Sep 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Tianxu Wu
Shuo Ye
Shuhuang Chen
Qinmu Peng
Xinge You
DiffM
252
6
0
15 Sep 2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data
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Seunghan Yang
Byeonggeun Kim
Kyuhong Shim
Simyoung Chang
204
2
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31 Aug 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Wenwen Qiang
Changwen Zheng
Jingyao Wang
Changwen Zheng
SSL
203
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28 Aug 2023
Improved Region Proposal Network for Enhanced Few-Shot Object Detection
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Zeyu Shangguan
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ObjD
247
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15 Aug 2023
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing
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PINN
148
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12 Aug 2023
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3
Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
ACM Multimedia (ACM MM), 2023
Hao Tang
Jun Liu
Shuanglin Yan
Rui Yan
Zechao Li
Jinhui Tang
275
71
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06 Aug 2023
Meta-learning in healthcare: A survey
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Alireza Rafiei
Ronald Moore
S. Jahromi
F. Hajati
Rishikesan Kamaleswaran
324
17
0
05 Aug 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
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Kai Zheng
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207
12
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28 Jul 2023
Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
S. M. Marvasti-Zadeh
Nilanjan Ray
Nadir Erbilgin
299
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25 Jul 2023
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
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Yi-Syuan Chen
Yun-Zhu Song
Cheng Yu Yeo
Bei Liu
Jianlong Fu
Hong-Han Shuai
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259
7
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15 Jul 2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
International Conference on Machine Learning (ICML), 2023
Ruijiang Dong
Yifan Zhang
Haoang Chi
Tongliang Liu
Biwei Huang
Gang Niu
Masashi Sugiyama
Bo Han
265
6
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12 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Zihao Jiang
Yunkai Dang
Dong Pang
Huishuai Zhang
Weiran Huang
VLM
221
3
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09 Jul 2023
Federated Few-shot Learning
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Song Wang
Xingbo Fu
Kaize Ding
Chen Chen
Huiyuan Chen
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17 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark
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Ziqi Wang
Yongqian Li
Jiabao Wang
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173
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Chart2Vec: A Universal Embedding of Context-Aware Visualizations
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Qing Chen
Ying Chen
Ruishi Zou
Wei Shuai
Yi Guo
Jiazhe Wang
Nana Cao
297
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0
14 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
342
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0
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Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning
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Yang Zhang
Yangzhou Du
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Xin Geng
Jianping Fan
Yong Rui
316
0
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30 May 2023
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression
International Symposium on Information Theory (ISIT), 2023
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Suhas Diggavi
242
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MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition
Computer Vision and Pattern Recognition (CVPR), 2023
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S. Mohan
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Jean-Charles Bazin
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Glocal Energy-based Learning for Few-Shot Open-Set Recognition
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Guansong Pang
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Lei Zhang
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155
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Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition
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204
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187
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APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP
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Ankit Jha
Bhupendra S. Solanki
Shirsha Bose
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Jian Wang
Yiming Qian
Yee-Hong Yang
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Hongjian Zhan
Xinchen Ma
Cong Liu
Bing Yin
Yue Lu
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Few-Shot Domain Adaptation for Low Light RAW Image Enhancement
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Venkatesh Babu Radhakrishnan
141
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27 Mar 2023
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