Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,485 papers shown

Title
Accelerating DETR Convergence via Semantic-Aligned Matching Gongjie Zhang Zhipeng Luo Yingchen Yu Kaiwen Cui Shijian Lu ViT 56 100 0 14 Mar 2022
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks Rebecca Adaimi Edison Thomaz CLL 34 13 0 11 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation Jiangmeng Li Jingyao Wang Changwen Zheng Fuchun Sun Hui Xiong 50 23 0 10 Mar 2022
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning Keqian Li Yifan Hu Logan Palanisamy Lisa Jones A. Gupta J. E. Grigsby Ili Selinger Matt Gillingham Fei Tan 41 1 0 09 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 57 157 0 07 Mar 2022
Learning Moving-Object Tracking with FMCW LiDAR Yinjuan Gu Hongzhi Cheng Kafeng Wang Dejing Dou Chengzhong Xu Hui Kong 43 6 0 02 Mar 2022
Continual Learning of Multi-modal Dynamics with External Memory Abdullah Akgul Gözde B. Ünal M. Kandemir CLL 29 0 0 02 Mar 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning M. Zarei Majid Komeili 33 4 0 27 Feb 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization Austin W. Hanjie Ameet Deshpande Karthik Narasimhan VLM 47 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 43 1 0 24 Feb 2022
Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition Yunzheng Zhu Ruchao Fan Abeer Alwan CLL 45 4 0 24 Feb 2022
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users D. Jain Khoa Nguyen Steven M. Goodman Rachel Grossman-Kahn Hung Ngo Aditya Kusupati Ruofei Du A. Olwal Leah Findlater Jon E. Froehlich 40 30 0 22 Feb 2022
Contrastive-mixup learning for improved speaker verification Xin Zhang Minho Jin R. Cheng Ruirui Li Eunjung Han A. Stolcke AAML SSL 30 10 0 22 Feb 2022
A Review of Emerging Research Directions in Abstract Visual Reasoning Mikolaj Malkiñski Jacek Mańdziuk 39 39 0 21 Feb 2022
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization Sha Li Liyuan Liu Yiqing Xie Heng Ji Jiawei Han 60 4 0 15 Feb 2022
Self-Supervised Class-Cognizant Few-Shot Classification Ojas Kishore Shirekar Hadi Jamali Rad SSL 67 4 0 15 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 55 63 0 07 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 31 4 0 05 Feb 2022
TIML: Task-Informed Meta-Learning for Agriculture Gabriel Tseng Hannah Kerner David Rolnick 45 7 0 04 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 47 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
Advances in MetaDL: AAAI 2021 challenge and workshop Adrian El Baz Isabelle M Guyon Zhengying Liu J. V. Rijn Sébastien Treguer Joaquin Vanschoren 33 7 0 01 Feb 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation Jixuan Wang Kuan-Chieh Wang Frank Rudzicz M. Brudno VLM 33 21 0 27 Jan 2022
Gap Minimization for Knowledge Sharing and Transfer Boyu Wang Jorge Armando Mendez Mendez Changjian Shui Fan Zhou Di Wu Gezheng Xu Christian Gagné Eric Eaton 48 10 0 26 Jan 2022
Learning Mixtures of Linear Dynamical Systems Yanxi Chen H. Vincent Poor 34 17 0 26 Jan 2022
Variational Model Inversion Attacks Kuan-Chieh Wang Yanzhe Fu Ke Li Ashish Khisti R. Zemel Alireza Makhzani MIACV 30 95 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 65 37 0 24 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen Jiaqi Zhao VLM 59 25 0 22 Jan 2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime Prarthana Bhattacharyya Chenge Li Xiaonan Zhao István Fehérvári Jason Sun ViT 46 2 0 22 Jan 2022
Distance-Ratio-Based Formulation for Metric Learning Hyeongji Kim P. Parviainen K. Malde 24 1 0 21 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 40 31 0 20 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 35 33 0 20 Jan 2022
OmniPrint: A Configurable Printed Character Synthesizer Haozhe Sun Wei-Wei Tu Isabelle M Guyon SyDa 51 7 0 17 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 46 102 0 15 Jan 2022
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer Yinyi Wei Tong Mo Yong Jiang Weiping Li Wen Zhao VLM 39 15 0 14 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank Wood BDL VLM 55 9 0 13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 38 68 0 11 Jan 2022
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing Xin Liu Yuntao wang S. Xie Xiaoyu Zhang Zixian Ma Daniel J. McDuff Shwetak N. Patel 37 10 0 11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples Orhun Bugra Baran Ramazan Gokberk Cinbics 32 4 0 09 Jan 2022
Budget-aware Few-shot Learning via Graph Convolutional Network Shipeng Yan Songyang Zhang Xuming He 16 6 0 07 Jan 2022
A Unified Framework for Attention-Based Few-Shot Object Detection Pierre Le Jeune Anissa Zergaïnoh-Mokraoui ObjD 51 2 0 06 Jan 2022
Distributed Evolution Strategies Using TPUs for Meta-Learning Alex Sheng J. He 16 2 0 01 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 45 44 0 31 Dec 2021
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Yuan Cheng Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 44 1 0 27 Dec 2021
Graph Few-shot Class-incremental Learning Zhen Tan Kaize Ding Ruocheng Guo Huan Liu CLL GNN 45 59 0 23 Dec 2021
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve Lei Wang Jun Liu Piotr Koniusz 47 21 0 23 Dec 2021
Cost Aggregation Is All You Need for Few-Shot Segmentation Sunghwan Hong Seokju Cho Jisu Nam Seungryong Kim ViT 33 23 0 22 Dec 2021
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks G. Han Yicheng He Shiyuan Huang Jiawei Ma Shih-Fu Chang ObjD 61 103 0 17 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 56 26 0 16 Dec 2021
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing Lu Yin Vlado Menkovski Yulong Pei Mykola Pechenizkiy 32 1 0 16 Dec 2021