Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,265 papers shown

Title
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment Lei Wang Jun Liu Liang Zheng Tom Gedeon Piotr Koniusz 40 9 0 07 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang Yifan Zhu Xiao-Shan Gao AAML 41 6 0 06 Feb 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 48 0 0 29 Jan 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning Songsong Tian Lusi Li Weijun Li Hang Ran Li Li Xin Ning CLL VLM 51 3 0 26 Jan 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition Tu Nguyen Nedim Srndic Alexander Neth AAML 45 3 0 18 Jan 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 29 0 0 10 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 32 5 0 09 Jan 2024
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space Padmaksha Roy Tyler Cody Himanshu Singhal Kevin Choi Ming Jin OOD 32 1 0 28 Dec 2023
Exploring intra-task relations to improve meta-learning algorithms P. Agarwal Shreya Singh OOD 42 1 0 27 Dec 2023
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection Hefei Mei Taijin Zhao Shiyuan Tang Heqian Qiu Lanxiao Wang Minjian Zhang Fanman Meng Hongliang Li ObjD 34 1 0 27 Dec 2023
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation Haoran Fan Qi Fan Maurice Pagnucco Yang Song 28 3 0 08 Dec 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation Yuan Wang Naisong Luo Tianzhu Zhang 43 11 0 29 Nov 2023
CUCL: Codebook for Unsupervised Continual Learning Chen Cheng Jingkuan Song Xiaosu Zhu Sitong Su Lianli Gao H. Shen CLL 30 2 0 25 Nov 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin Zhifeng Shen Jia-Li Yin Qipeng Liu Yuanlong Yu Weijie Chen CVBM 32 4 0 23 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 34 2 0 09 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 49 7 0 08 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 62 6 0 01 Nov 2023
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction Shiao Meng Xuming Hu Aiwei Liu Shuang Li Fukun Ma Yawen Yang Lijie Wen 47 7 0 24 Oct 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition Megha Thukral H. Haresamudram Thomas Ploetz 42 4 0 22 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 33 2 0 16 Oct 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 43 7 0 16 Oct 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation Yilin Lyu Liyuan Wang Xingxing Zhang Zicheng Sun Hang Su Jun Zhu Liping Jing 34 8 0 13 Oct 2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning Lapo Frati Neil Traft Jeff Clune Nick Cheney CLL 32 0 0 12 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 66 56 0 10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 50 9 0 09 Oct 2023
Transferable Availability Poisoning Attacks Yiyong Liu Michael Backes Xiao Zhang AAML 27 3 0 08 Oct 2023
Securing Voice Biometrics: One-Shot Learning Approach for Audio Deepfake Detection Awais Khan K. Malik 24 5 0 05 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 54 2 0 05 Oct 2023
A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao Donglin Wang OffRL 34 73 0 01 Oct 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning Huiwei Lin Shanshan Feng Baoquan Zhang Xutao Li Yew-Soon Ong CLL 50 0 0 26 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 34 2 0 22 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 27 6 0 20 Sep 2023
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation Yazhou Zhu Shidong Wang Tong Xin Zheng-Wei Zhang Haofeng Zhang 20 10 0 20 Sep 2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition Shubham Trehan U. Ramachandran Ruth Scimeca Sathyanarayanan N. Aakur 25 0 0 18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification Junjie Zhu Yiying Li Chunping Qiu Ke Yang Naiyang Guan Xiaodong Yi 34 6 0 17 Sep 2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning Huiwei Lin Shanshan Feng Baoquan Zhang Hongliang Qiao Xutao Li Yunming Ye CLL 45 4 0 08 Sep 2023
ImageBind-LLM: Multi-modality Instruction Tuning Jiaming Han Renrui Zhang Wenqi Shao Peng Gao Peng Xu ... Yafei Wen Xiaoxin Chen Xiangyu Yue Hongsheng Li Yu Qiao MLLM 54 117 0 07 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 36 0 0 04 Sep 2023
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER Guanting Dong Zechen Wang Jinxu Zhao Gang Zhao Daichi Guo ... Keqing He Xuefeng Li Liwen Wang Xinyue Cui Weiran Xu 39 19 0 28 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 21 13 0 26 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 36 1 0 16 Aug 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement Zhen-Hu Ning Zhuotao Tian Guangming Lu Wenjie Pei 3DPC 33 14 0 06 Aug 2023
M $^3$ Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition Hao Tang Jun Liu Shuanglin Yan Rui Yan Zechao Li Jinhui Tang 27 38 0 06 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 33 8 0 03 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 33 8 0 31 Jul 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 46 45 0 31 Jul 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing Jing Wu N. Hovakimyan Jennifer Hobbs 34 14 0 27 Jul 2023
Towards a population-informed approach to the definition of data-driven models for structural dynamics G. Tsialiamanis N. Dervilis D. Wagg K. Worden AI4CE 40 5 0 19 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 36 70 0 10 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 54 2 0 09 Jul 2023