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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
Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification Yang Deng Zhiwei Ji Yijun Wang S.Kevin Zhou 48 0 0 14 Nov 2023
Dual-channel Prototype Network for few-shot Classification of Pathological Images Hao Quan Xinjia Li Dayu Hu Tianhang Nan Xiaoyu Cui 64 0 0 14 Nov 2023
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors Marc Aubreville Zhaoya Pan M. Sievert Jonas Ammeling J. Ganz N. Oetter Florian Stelzle Ann-Kathrin Frenken Katharina Breininger Miguel Goncalves 31 0 0 13 Nov 2023
How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective I. Kraljevski Yong Chul Ju Dmitrij Ivanov Constanze Tschope M. Wolff AI4CE 70 4 0 13 Nov 2023
Semantic-aware Video Representation for Few-shot Action Recognition Yutao Tang Benjamin Bejar René Vidal 92 7 0 10 Nov 2023
How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model Shangwen Wang Xiaopeng Li Shasha Li Shan Zhao Jie Yu Jun Ma Xiaoguang Mao Weimin Zhang 116 7 0 10 Nov 2023
Unlock Reliable Skill Inference for Quadruped Adaptive Behavior by Skill Graph Hongyin Zhang Diyuan Shi Zifeng Zhuang Han Zhao Zhenyu Wei Feng Zhao Sibo Gai Shangke Lyu Donglin Wang 77 0 0 10 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 94 12 0 09 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels Renyu Zhang Aly A. Khan Yuxin Chen Robert L. Grossman 81 0 0 09 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 61 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 77 7 0 08 Nov 2023
Proceedings of the 5th International Workshop on Reading Music Systems Jorge Calvo-Zaragoza Alexander Pacha Elona Shatri 43 0 0 07 Nov 2023
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning Sarkar Snigdha Sarathi Das Ranran Haoran Zhang Peng Shi Wenpeng Yin Rui Zhang 156 15 0 07 Nov 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 94 1 0 06 Nov 2023
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification Hao Zheng Runqi Wang Jianzhuang Liu Asako Kanezaki 77 8 0 04 Nov 2023
Disentangled Representation Learning with Transmitted Information Bottleneck Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Jihong Wang Xiao Chang Jingdong Wang Qinghua Zheng 88 4 0 03 Nov 2023
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image Classification Chun Liu Longwei Yang Zheng Li Wei Yang Zhigang Han Jianzhong Guo Junyong Yu 55 9 0 02 Nov 2023
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval Jiayi Chen H. Dai Bo Dai Aidong Zhang Wei Wei 87 2 0 01 Nov 2023
De-Diffusion Makes Text a Strong Cross-Modal Interface Chen Wei Chenxi Liu Siyuan Qiao Zhishuai Zhang Alan Yuille Jiahui Yu VLM DiffM 103 11 0 01 Nov 2023
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection Min Jae Jung S. Han Joohee Kim 129 14 0 01 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 157 6 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 84 3 0 31 Oct 2023
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning Michalis Lazarou Yannis Avrithis Guangyu Ren Tania Stathaki 70 0 0 30 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 81 12 0 28 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder Huiwon Jang Jihoon Tack Daewon Choi Jongheon Jeong Jinwoo Shin 72 3 0 25 Oct 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 111 9 0 24 Oct 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning Kun Song Huimin Ma Bochao Zou Huishuai Zhang Weiran Huang 104 12 0 23 Oct 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition Megha Thukral H. Haresamudram Thomas Ploetz 97 8 0 22 Oct 2023
Are LSTMs Good Few-Shot Learners? Mike Huisman Thomas M. Moerland Aske Plaat Jan N. van Rijn VLM 76 9 0 22 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models Pierre Colombo Victor Pellegrain Malik Boudiaf Victor Storchan Myriam Tami Ismail Ben Ayed C´eline Hudelot Pablo Piantanida 99 8 0 21 Oct 2023
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning Atik Faysal Mohammad Rostami Huaxia Wang Avimanyu Sahoo Ryan Antle 32 0 0 19 Oct 2023
Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Zhiyuan Yan Yongqiang Mao Wenhui Diao Hongqi Wang Xian Sun 51 19 0 19 Oct 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data Shiye Wang Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 98 1 0 18 Oct 2023
Context-Aware Meta-Learning Christopher Fifty Dennis Duan Ronald G. Junkins Ehsan Amid Jurij Leskovec Christopher Ré Sebastian Thrun LRM VLM MLLM 86 12 0 17 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 85 2 0 16 Oct 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification Tianjun Ke Haoqun Cao Zenan Ling Feng Zhou UQCV 64 8 0 16 Oct 2023
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World Rujie Wu Xiaojian Ma Zhenliang Zhang Wei Wang Qing Li Song-Chun Zhu Yizhou Wang LRM VLM 153 9 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 126 7 0 16 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification Qianyu Guo Huifang Du Xing Jia Shuyong Gao Yan Teng Haofen Wang Wenqiang Zhang MedIm VLM 77 0 0 14 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning Mike Huisman Aske Plaat Jan N. van Rijn VLM 66 2 0 13 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 80 8 0 13 Oct 2023
LLM-augmented Preference Learning from Natural Language Inwon Kang Sikai Ruan Tyler Ho Jui-Chien Lin Farhad Mohsin Oshani Seneviratne Lirong Xia 60 3 0 12 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 79 1 0 12 Oct 2023
Multi-task Explainable Skin Lesion Classification Mahapara Khurshid Mayank Vatsa Richa Singh 58 1 0 11 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 135 57 0 10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 85 9 0 09 Oct 2023
Transferable Availability Poisoning Attacks Yiyong Liu Michael Backes Xiao Zhang AAML 71 3 0 08 Oct 2023
PatchProto Networks for Few-shot Visual Anomaly Classification Jian Wang Yue Zhuo 55 0 0 07 Oct 2023
Securing Voice Biometrics: One-Shot Learning Approach for Audio Deepfake Detection Awais Khan K. Malik 43 5 0 05 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 138 2 0 05 Oct 2023