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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
Summarizing Stream Data for Memory-Constrained Online Continual Learning Jianyang Gu Kai Wang Wei Jiang Yang You DD 82 11 0 26 May 2023
Exploring Weight Balancing on Long-Tailed Recognition Problem Naoya Hasegawa Issei Sato 127 7 0 26 May 2023
Meta Adaptive Task Sampling for Few-Domain Generalization Zheyan Shen Han Yu Peng Cui Jiashuo Liu Xingxuan Zhang Linjun Zhou Furui Liu OOD 47 1 0 25 May 2023
Meta-learning For Vision-and-language Cross-lingual Transfer Hanxu Hu Frank Keller VLM 78 2 0 24 May 2023
EXnet: Efficient In-context Learning for Data-less Text classification Debaditya Shome Kuldeep Yadav 59 1 0 24 May 2023
Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation Shuting He Xudong Jiang Wei Jiang Henghui Ding 3DPC 108 34 0 23 May 2023
TaDSE: Template-aware Dialogue Sentence Embeddings Min Sik Oh Jiwei Li Guoyin Wang 97 2 0 23 May 2023
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation Yong Yang Qiong Chen Yuan Feng Tianlin Huang 68 31 0 23 May 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations Jesus Solano Oana-Maria Camburu Pasquale Minervini 66 1 0 22 May 2023
Learning to detect an animal sound from five examples I. Nolasco Shubhr Singh V. Morfi Vincent Lostanlen A. Strandburg-Peshkin ... Michael G. Emmerson E. Versace E. Grout Haohe Liu D. Stowell 113 41 0 22 May 2023
Retrieval-augmented Multi-label Text Classification Ilias Chalkidis Yova Kementchedjhieva RALM VLM 55 2 0 22 May 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning Zhenrui Yue Huimin Zeng Yang Zhang Lanyu Shang Dong Wang 79 17 0 22 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification Idio Guarino Chao Wang A. Finamore A. Pescapé Dario Rossi 68 11 0 21 May 2023
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search Mozhi Zhang Hang Yan Yaqian Zhou Xipeng Qiu 76 10 0 20 May 2023
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment Runqi Wang Hao Zheng Xiaoyue Duan Jianzhuang Liu Yuning Lu Tian Wang Songcen Xu Baochang Zhang VLM 64 12 0 19 May 2023
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers Tomoharu Iwata Yoichi Chikahara CML FedML 77 0 0 19 May 2023
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation Yuanen Zhou Xin Chen Yanrong Guo Shijie Hao Richang Hong Qi Tian CLL 92 4 0 18 May 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Ziqiang Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 103 55 0 18 May 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks Wenfang Sun Yingjun Du Xiantong Zhen Fan Wang Lingling Wang Cees G. M. Snoek 61 5 0 17 May 2023
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 86 8 0 17 May 2023
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification Jiasi Chen Richong Zhang Yongyi Mao Jie Xue 77 79 0 16 May 2023
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification M. Mendez-Ruiz Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza F. Lopez-Tiro Andres Mendez-Vazquez Gilberto Ochoa-Ruiz 71 2 0 15 May 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 53 2 0 15 May 2023
Meta-DM: Applications of Diffusion Models on Few-Shot Learning W. Hu Xiurong Jiang Jiarun Liu Yuqi Yang Hui Tian DiffM 80 7 0 14 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 98 4 0 13 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li Henry Gouk Li Guo Timothy M. Hospedales 103 5 0 12 May 2023
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition Xinyu Gong S. Mohan Naina Dhingra Jean-Charles Bazin Yilei Li Zhangyang Wang Rakesh Ranjan EgoV 124 19 0 12 May 2023
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures Sepideh Neshatfar Abram Magner Salimeh Yasaei Sekeh OT 45 3 0 11 May 2023
Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation Yixin Zhang Maciej A. Mazurowski 3DV 3DPC 70 12 0 11 May 2023
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization Huabin Liu W. Lin Tieyuan Chen Yuxi Li Shuyuan Li John See 72 6 0 10 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 144 30 0 10 May 2023
Towards Effective Visual Representations for Partial-Label Learning Shiyu Xia Jiaqi Lv Ning Xu Gang Niu Xin Geng VLM SSL 100 29 0 10 May 2023
Neuralizer: General Neuroimage Analysis without Re-Training Steffen Czolbe H. Dickinson OOD 147 16 0 04 May 2023
AutoML-GPT: Automatic Machine Learning with GPT Shujian Zhang Chengyue Gong Lemeng Wu Xingchao Liu Mi Zhou LLMAG 147 67 0 04 May 2023
Plug-and-Play Multilingual Few-shot Spoken Words Recognition Aaqib Saeed Vasileios Tsouvalas 63 0 0 03 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 80 13 0 03 May 2023
DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents Furkan Simsek Brian Pfitzmann Hendrik Raetz Jona Otholt Haojin Yang Christoph Meinel 27 2 0 03 May 2023
Causal Interventions-based Few-Shot Named Entity Recognition Zhen Yang Yongbin Liu Chunping Ouyang CML 71 0 0 03 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction Wanli Li T. Qian Yi Song Zeyu Zhang Jiawei Li Zhuang Chen Lixin Zou 151 1 0 03 May 2023
Accelerating Neural Self-Improvement via Bootstrapping Kazuki Irie Jürgen Schmidhuber 70 1 0 02 May 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 243 45 0 27 Apr 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kai Zhang Pulkit Agrawal 100 16 0 27 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 81 6 0 27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 82 12 0 26 Apr 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning Zhongzhi Yu Shang Wu Y. Fu Shunyao Zhang Yingyan Lin 78 6 0 25 Apr 2023
Context-enriched molecule representations improve few-shot drug discovery Johannes Schimunek Philipp Seidl Lukas Friedrich Daniel Kuhn F. Rippmann Sepp Hochreiter Günter Klambauer 89 28 0 24 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 111 12 0 24 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 78 13 0 24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 111 41 0 23 Apr 2023
Learning Partial Correlation based Deep Visual Representation for Image Classification Saimunur Rahman Piotr Koniusz Lei Wang Luping Zhou Peyman Moghadam Changming Sun SSL 102 9 0 23 Apr 2023