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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
Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement J. Shtok Amit Alfassy Foad Abo Dahood Eliyahu Schwartz Sivan Doveh Assaf Arbelle LRM ReLM 96 0 0 14 Oct 2024
Task Adaptive Feature Distribution Based Network for Few-shot Fine-grained Target Classification Ping Li Hongbo Wang Lei Lu 53 0 0 13 Oct 2024
Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images Ardhendu Sekhar Aditya Bhattacharya Vinayak Goyal Vrinda Goel Aditya Bhangale R. Gupta Amit Sethi VLM 76 0 0 11 Oct 2024
On-Chip Learning via Transformer In-Context Learning Jan Finkbeiner Emre Neftci 50 0 0 11 Oct 2024
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing Mengze Hong Di Jiang Yuanfeng Song Chen Jason Zhang 83 2 0 08 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning Shiguang Wu Yaqing Wang Yatao Bian Quanming Yao CLL 137 0 0 08 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 89 4 0 08 Oct 2024
Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification Xuanyu Zhuang Geoffroy Peeters Gaël Richard 28 0 0 04 Oct 2024
MLP-KAN: Unifying Deep Representation and Function Learning Yunhong He Yifeng Xie Zhengqing Yuan Lichao Sun 110 2 0 03 Oct 2024
Recurrent Few-Shot model for Document Verification Maxime Talarmain Carlos Boned Sanket Biswas Oriol Ramos 68 1 0 03 Oct 2024
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification Yunchuan Guan Yu Liu Ketong Liu Ke Zhou Zhiqi Shen 78 1 0 03 Oct 2024
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks Alfredo Reichlin Gustaf Tegnér Miguel Vasco Hang Yin Mårten Björkman Danica Kragic 78 0 0 02 Oct 2024
Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals Yooseok Lim Sujee Lee SSL 28 0 0 01 Oct 2024
Revisiting Essential and Nonessential Settings of Evidential Deep Learning Mengyuan Chen Junyu Gao Changsheng Xu EDL 118 1 0 01 Oct 2024
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection Changsheng Lu Zheyuan Liu Piotr Koniusz VLM 75 4 0 30 Sep 2024
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification Kexue Fu Xiaoyuan Luo Linhao Qu Shuo Wang Ying Xiong Ilias Maglogiannis Longxiang Gao Manning Wang 60 2 0 29 Sep 2024
Hybrid Mamba for Few-Shot Segmentation Qianxiong Xu Xuanyi Liu Lanyun Zhu Guosheng Lin Cheng Long Ziyue Li Rui Zhao Mamba 67 5 0 29 Sep 2024
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures Subash Timilsina Sagar Shrestha Xiao Fu 77 1 0 28 Sep 2024
Learning to Obstruct Few-Shot Image Classification over Restricted Classes Amber Yijia Zheng Chiao-An Yang Raymond A. Yeh 101 2 0 28 Sep 2024
AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Yongqiang Mao Jianning Pei Wenhui Diao Hongqi Wang Xian Sun ViT 99 6 0 26 Sep 2024
Locally Regularized Sparse Graph by Fast Proximal Gradient Descent Dongfang Sun Yingzhen Yang 60 0 0 25 Sep 2024
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition Ming Jin Danni Zhang Gangming Zhao Changde Du Jinpeng Li TTA 75 0 0 24 Sep 2024
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI Suayb S. Arslan 101 2 0 24 Sep 2024
A Feature Generator for Few-Shot Learning Heethanjan Kanagalingam Thenukan Pathmanathan Navaneethan Ketheeswaran Mokeeshan Vathanakumar Mohamed Afham Ranga Rodrigo 61 0 0 21 Sep 2024
Across-Game Engagement Modelling via Few-Shot Learning Kosmas Pinitas Konstantinos Makantasis Georgios N. Yannakakis 74 1 0 19 Sep 2024
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation Kotaro Nagata Hiromu Ono Kazuhiro Hotta CLL 39 0 0 17 Sep 2024
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging Charilaos Papaioannou Emmanouil Benetos Alexandros Potamianos 179 2 0 17 Sep 2024
Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation Hanbo Bi Yingchao Feng Wenhui Diao Peijin Wang Yongqiang Mao Kun Fu Hongqi Wang Xian Sun VLM 80 5 0 16 Sep 2024
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 161 3 0 13 Sep 2024
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning Hao-Wei Chiang Chi-Tse Huang Hsiang-Yun Cheng P. Tseng Ming-Hsiu Lee An-Yeu Wu 53 0 0 12 Sep 2024
Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang Yibing Zhan Yong Luo Han Hu Wei Yu Yonggang Wen Dacheng Tao CLL 79 2 0 09 Sep 2024
Contrastive Learning-based User Identification with Limited Data on Smart Textiles Yunkang Zhang Ziyu Wu Zhen Liang Fangting Xie Quan Wan Mingjie Zhao Xiaohui Cai 73 1 0 06 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 61 1 0 05 Sep 2024
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning Raphael Lafargue Luke Smith Franck Vermet Mathias Löwe Ian Reid Vincent Gripon Jack Valmadre 82 0 0 04 Sep 2024
Abstracted Gaussian Prototypes for One-Shot Concept Learning Chelsea Zou Kenneth J. Kurtz VLM 72 0 0 30 Aug 2024
CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection Xuejing Li Weijia Zhang Chao Ma 3DPC 91 1 0 30 Aug 2024
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning Bingchen Yan 103 0 0 28 Aug 2024
LeMON: Learning to Learn Multi-Operator Networks Jingmin Sun Zecheng Zhang Hayden Schaeffer 99 7 0 28 Aug 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning Lei Liu Li Liu Yawen Cui CLL 57 0 0 27 Aug 2024
Brain-inspired Artificial Intelligence: A Comprehensive Review Jing Ren Xiwei Xu AI4CE 127 4 0 27 Aug 2024
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules Bingchen Yan 106 0 0 26 Aug 2024
FMI-TAL: Few-shot Multiple Instances Temporal Action Localization by Probability Distribution Learning and Interval Cluster Refinement Fengshun Wang Qiurui Wang Yuting Wang 80 0 0 25 Aug 2024
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation Zhaoyang Li Yuan Wang Wangkai Li Rui Sun Tianzhu Zhang 101 2 0 25 Aug 2024
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning Zhenyu Zhang Guangyao Chen Yixiong Zou Zhimeng Huang Yuhua Li Ruixuan Li VLM 67 2 0 23 Aug 2024
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition Zhenyu Zhang Guangyao Chen Yixiong Zou Yuhua Li Ruixuan Li UQCV 109 0 0 23 Aug 2024
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition Yafeng Zhang Zilan Yu Yuang Huang Jing Tang 73 2 0 23 Aug 2024
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning Mushui Liu Fangtai Wu Bozheng Li Ziqian Lu Yunlong Yu Xi Li VLM 65 2 0 22 Aug 2024
Making Large Vision Language Models to be Good Few-shot Learners Fan Liu Wenwen Cai Jian Huo Chuanyi Zhang Delong Chen Jun Zhou 89 0 0 21 Aug 2024
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training Yebo Wu Li Li Chunlin Tian Dubing Chen Chengzhong Xu FedML 77 4 0 20 Aug 2024
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation Jiawei Han Kaiqi Liu Wei Li Guangzhi Chen 100 2 0 20 Aug 2024