Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,240 papers shown

Title
Attribute Prototype Network for Any-Shot Learning Wenjia Xu Yongqin Xian Jiuniu Wang Bernt Schiele Zeynep Akata VLM 34 37 0 04 Apr 2022
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging Yutai Hou Cheng Chen Xianzhen Luo Bo-wen Li Wanxiang Che BDL 24 21 0 02 Apr 2022
Learning from few examples with nonlinear feature maps I. Tyukin Oliver J. Sutton Alexander N. Gorban 24 1 0 31 Mar 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations Lingjie Mei Jiayuan Mao Ziqi Wang Chuang Gan J. Tenenbaum VLM 29 21 0 30 Mar 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 35 141 0 30 Mar 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang Pham Chenghao Liu Guosheng Lin BDL OnRL 38 57 0 30 Mar 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 34 11 0 29 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 37 59 0 29 Mar 2022
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching Dongkwon Jin Jun-Tae Lee Chang-Su Kim 33 11 0 29 Mar 2022
Rethinking Semantic Segmentation: A Prototype View Tianfei Zhou Wenguan Wang E. Konukoglu Luc Van Gool SSeg 34 260 0 28 Mar 2022
Few-Shot Object Detection with Fully Cross-Transformer G. Han Jiawei Ma Shiyuan Huang Long Chen Shih-Fu Chang 37 131 0 28 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches A. Bhunia Viswanatha Reddy Gajjala Subhadeep Koley Rohit Kundu Aneeshan Sain Tao Xiang Yi-Zhe Song CLL 25 30 0 28 Mar 2022
FS6D: Few-Shot 6D Pose Estimation of Novel Objects Yisheng He Yao Wang Haoqiang Fan Jian Sun Qifeng Chen 33 83 0 28 Mar 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization Yue Duan Zhen Zhao Lei Qi Lei Wang Luping Zhou Yinghuan Shi Yang Gao 38 33 0 27 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision Jaeyoo Park Junha Kim Bohyung Han OffRL 23 5 0 25 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 38 32 0 25 Mar 2022
HM: Hybrid Masking for Few-Shot Segmentation Seonghyeon Moon Samuel S. Sohn Honglu Zhou Sejong Yoon Vladimir Pavlovic Muhammad Haris Khan Mubbasir Kapadia 38 9 0 24 Mar 2022
Reinforcement-based frugal learning for satellite image change detection Sebastien Deschamps H. Sahbi 30 1 0 22 Mar 2022
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection H. Sahbi Sebastien Deschamps 33 0 0 22 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh Chawla Huan Liu 32 18 0 17 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 33 27 0 17 Mar 2022
Semantic-aligned Fusion Transformer for One-shot Object Detection Yizhou Zhao Xun Guo Yan Lu ViT ObjD 24 21 0 17 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 37 45 0 17 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 33 22 0 15 Mar 2022
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation Chunbo Lang Gong Cheng Binfei Tu Junwei Han 26 201 0 15 Mar 2022
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks Denis Kleyko G. Karunaratne J. Rabaey Abu Sebastian Abbas Rahimi KELM 42 10 0 11 Mar 2022
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks Rebecca Adaimi Edison Thomaz CLL 29 13 0 11 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation Jiangmeng Li Jingyao Wang Changwen Zheng Fuchun Sun Hui Xiong 35 23 0 10 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 36 157 0 07 Mar 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features Jinxin Zhou Xiao Li Tian Ding Chong You Qing Qu Zhihui Zhu 35 101 0 02 Mar 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning M. Zarei Majid Komeili 13 4 0 27 Feb 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization Austin W. Hanjie Ameet Deshpande Karthik Narasimhan VLM 36 2 0 26 Feb 2022
Learning Transferable Reward for Query Object Localization with Policy Adaptation Tingfeng Li Shaobo Han Martin Renqiang Min Dimitris N. Metaxas 35 1 0 24 Feb 2022
Submodlib: A Submodular Optimization Library Vishal Kaushal Ganesh Ramakrishnan Rishabh K. Iyer 50 12 0 22 Feb 2022
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization Sha Li Liyuan Liu Yiqing Xie Heng Ji Jiawei Han 41 4 0 15 Feb 2022
Self-Supervised Class-Cognizant Few-Shot Classification Ojas Kishore Shirekar Hadi Jamali Rad SSL 50 4 0 15 Feb 2022
Diffusion bridges vector quantized Variational AutoEncoders Max H. Cohen Guillaume Quispe Sylvain Le Corff Charles Ollion Eric Moulines DiffM 24 14 0 10 Feb 2022
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferability R. Qin Tao Liu 32 61 0 07 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 26 4 0 05 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 41 75 0 04 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 31 3 0 04 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 47 5 0 02 Feb 2022
Quantifying Relevance in Learning and Inference M. Marsili Y. Roudi 14 18 0 01 Feb 2022
Advances in MetaDL: AAAI 2021 challenge and workshop Adrian El Baz Isabelle M Guyon Zhengying Liu J. V. Rijn Sébastien Treguer Joaquin Vanschoren 20 7 0 01 Feb 2022
Similarity Learning based Few Shot Learning for ECG Time Series Classification Priyanka Gupta Sathvik Bhaskarpandit Manik Gupta 22 14 0 31 Jan 2022
Deep Learning Approaches on Image Captioning: A Review Taraneh Ghandi H. Pourreza H. Mahyar VLM 30 89 0 31 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 33 23 0 27 Jan 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent Kenneth Stewart Emre Neftci 35 25 0 26 Jan 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 42 37 0 24 Jan 2022
Distance-Ratio-Based Formulation for Metric Learning Hyeongji Kim P. Parviainen K. Malde 19 1 0 21 Jan 2022