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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Offline Handwritten Amharic Character Recognition Using Few-shot Learning Mesay Samuel Gondere Lars Schmidt-Thieme D. Sharma Abiot Sinamo Boltena Abey Bruck OffRL 26 2 0 01 Oct 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning Bin Liu Boyu Yang Lingxi Xie Ren Wang Qi Tian QiXiang Ye CLL 78 18 0 01 Oct 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022 Liming Gu Zhixiang Chi Huan Liu Yuanhao Yu Yang Wang 79 7 0 01 Oct 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 70 1 0 30 Sep 2022
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal Yaqian Zhang Bernhard Pfahringer E. Frank Albert Bifet N. Lim Yunzhe Jia CLL 181 44 0 28 Sep 2022
Revisiting Few-Shot Learning from a Causal Perspective Guoliang Lin Yongheng Xu Hanjiang Lai Jian Yin CML 108 3 0 28 Sep 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning Xiu-Shen Wei Hesheng Xu Faen Zhang Yuxin Peng Wei Zhou 81 16 0 28 Sep 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 66 9 0 27 Sep 2022
Collaboration of Pre-trained Models Makes Better Few-shot Learner Renrui Zhang Bohao Li Wei Zhang Hao Dong Hongsheng Li Peng Gao Yu Qiao VLM 114 7 0 25 Sep 2022
Exploring Example Influence in Continual Learning Q. Sun Fan Lyu Fanhua Shang Wei Feng Liang Wan CLL 126 49 0 25 Sep 2022
MetaPrompting: Learning to Learn Better Prompts Yutai Hou Hongyuan Dong Xinghao Wang Bohan Li Wanxiang Che VLM 83 30 0 23 Sep 2022
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review Guixiang Ma Vy A. Vo Ted Willke Nesreen Ahmed 74 1 0 22 Sep 2022
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping Jiageng Zhu Hanchen Xie Wael AbdAlmageed SSL CoGe DRL 57 4 0 21 Sep 2022
A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts Giuseppe De Gregorio Sanket Biswas Mohamed Ali Souibgui Asma Bensalah Josep Lladós Alicia Fornés Angelo Marcelli 77 2 0 21 Sep 2022
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search Bharti Munjal Alessandro Flaborea S. Amin F. Tombari Fabio Galasso 60 24 0 21 Sep 2022
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition Anqi Zhu Qiuhong Ke Mingming Gong James Bailey 112 21 0 21 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 79 1 0 20 Sep 2022
A Closer Look at Novel Class Discovery from the Labeled Set Ziyun Li Jona Otholt Ben Dai Diane Hu Christoph Meinel Haojin Yang BDL 44 12 0 19 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 88 9 0 18 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 83 16 0 18 Sep 2022
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 107 57 0 17 Sep 2022
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators Jiri Sedlar Karla Stepanova R. Škoviera Jan Kristof Behrens Matus Tuna G. Sejnova Josef Sivic Robert Babuška 3DH 78 5 0 16 Sep 2022
Classical Sequence Match is a Competitive Few-Shot One-Class Learner Mengting Hu H. Gao Yinhao Bai Mingming Liu 70 0 0 14 Sep 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification Tianyi Lei Honghui Hu Qiaoyang Luo Dezhong Peng Xu Wang 75 12 0 10 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 76 6 0 07 Sep 2022
Data-Driven Target Localization Using Adaptive Radar Processing and Convolutional Neural Networks Shyam Venkatasubramanian S. Gogineni Bosung Kang Ali Pezeshki M. Rangaswamy Vahid Tarokh 85 4 0 07 Sep 2022
A Study on Representation Transfer for Few-Shot Learning Chun-Nam Yu Yi Xie SSL 49 1 0 05 Sep 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 67 7 0 04 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions Zhenyi Wang Li Shen Le Fang Qiuling Suo Dongling Zhan Tiehang Duan Mingchen Gao OOD CLL 62 16 0 03 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 90 0 0 03 Sep 2022
An Introduction to Machine Unlearning Salvatore Mercuri Raad Khraishi Ramin Okhrati Devesh Batra Conor B. Hamill T. Ghasempour Andrew Nowlan MU 77 15 0 02 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 162 24 0 01 Sep 2022
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results Dustin Carrión-Ojeda Hong Chen Adrian El Baz Sergio Escalera Chaoyu Guan Isabelle M Guyon I. Ullah Xin Eric Wang Wenwu Zhu VLM 67 6 0 31 Aug 2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective Jiangmeng Li Yanan Zhang Jingyao Wang Hui Xiong Chengbo Jiao Xiaohui Hu Changwen Zheng Gang Hua CML 110 30 0 26 Aug 2022
Expanding continual few-shot learning benchmarks to include recognition of specific instances Gideon Kowadlo Abdelrahman Ahmed Amir Mayan D. Rawlinson CLL 52 0 0 26 Aug 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 116 46 0 26 Aug 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 101 51 0 23 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-Man Cheung BDL 65 13 0 23 Aug 2022
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks Weide Liu Chi Zhang Guosheng Lin Fayao Liu ISeg SSeg 79 28 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 112 17 0 22 Aug 2022
Reference-Limited Compositional Zero-Shot Learning Siteng Huang Qiyao Wei Donglin Wang CoGe 75 4 0 22 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning Jianpeng Yang Yuhang Niu Xuemei Xie G. Shi 58 1 0 20 Aug 2022
Hierarchical Compositional Representations for Few-shot Action Recognition Chang-bo Li Jie Zhang Shuzhe Wu Xin Jin Shiguang Shan 84 23 0 19 Aug 2022
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition Tailin Chen Desen Zhou Jian Wang Shidong Wang Qian He Chuanyan Hu Errui Ding Yuanyuan Guan Xuming He 68 15 0 19 Aug 2022
Prompt Vision Transformer for Domain Generalization Zangwei Zheng Xiangyu Yue Kai Wang Yang You VLM VPVLM MDE 126 54 0 18 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 90 21 0 17 Aug 2022
How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval? Q. Leroy Olivier Buisson Alexis Joly SSL 49 0 0 17 Aug 2022
Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for Few-Shot Learning Lin Ding Peng Liu Wenfeng Shen Weijia Lu Shengbo Chen UQCV 34 3 0 17 Aug 2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification Jaron Mar Jiamou Liu 84 2 0 17 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 100 4 0 17 Aug 2022