Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,444 papers shown

Title
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 50 5 0 06 Dec 2021
Forward Compatible Training for Large-Scale Embedding Retrieval Systems Vivek Ramanujan Pavan Kumar Anasosalu Vasu Ali Farhadi Oncel Tuzel Hadi Pouransari VLM 37 17 0 06 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 22 7 0 06 Dec 2021
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing Shreshth Tuli G. Casale N. Jennings 40 38 0 04 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 42 22 0 04 Dec 2021
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples Sen Jia Shuguo Jiang Zhijie Lin Nanying Li Meng Xu Shiqi Yu VLM 45 276 0 03 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 25 47 0 03 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual Imitation Jyothish Pari Nur Muhammad (Mahi) Shafiullah Sridhar Pandian Arunachalam Lerrel Pinto SSL 33 162 0 02 Dec 2021
PartImageNet: A Large, High-Quality Dataset of Parts Ju He Shuo Yang Shaokang Yang Adam Kortylewski Xiaoding Yuan Jieneng Chen Shuai Liu Cheng Yang Qihang Yu Alan Yuille 3DV MLLM 3DH VLM 59 97 0 02 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 53 30 0 01 Dec 2021
Privacy-Preserving Serverless Edge Learning with Decentralized Small Data Shih-Chun Lin Chia-Hung Lin 36 4 0 29 Nov 2021
Few-Shot Object Detection via Association and DIscrimination Yuhang Cao Jiaqi Wang Ying Jin Tong Wu Kai-xiang Chen Ziwei Liu Dahua Lin ObjD 31 82 0 23 Nov 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 43 88 0 17 Nov 2021
Diversified Multi-prototype Representation for Semi-supervised Segmentation Jizong Peng Christian Desrosiers M. Pedersoli 29 1 0 16 Nov 2021
Metric-based multimodal meta-learning for human movement identification via footstep recognition Muhammad Shakeel Katsutoshi Itoyama Kenji Nishida K. Nakadai 29 0 0 15 Nov 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding Qianying Liu Fei Cheng Sadao Kurohashi 22 1 0 10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 51 51 0 09 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation Hyeongjun Kwon Somi Jeong Sunok Kim Kwanghoon Sohn VLM 37 10 0 09 Nov 2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Junying Huang Fan Chen Keze Wang Liang Lin Dongyu Zhang 38 8 0 08 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 39 35 0 08 Nov 2021
A Relational Model for One-Shot Classification Arturs Polis Alexander Ilin BDL VLM 29 1 0 08 Nov 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 199 387 0 06 Nov 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks Jiaji Huang Qiang Qiu Kenneth Church 31 4 0 05 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Trapit Bansal K. Gunasekaran Tong Wang Tsendsuren Munkhdalai Andrew McCallum SSL OOD 53 19 0 02 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms Jiaxu Leng Taiyue Chen Gao Xinbo Yongtao Yu Ye Wang Feng Gao Wang Yue ObjD 39 15 0 30 Oct 2021
CvS: Classification via Segmentation For Small Datasets Nooshin Mojab Philip S. Yu J. Hallak Darvin Yi 31 4 0 29 Oct 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition Shuya Ding Zhe Chen Tianyue Zheng Jun Luo 30 112 0 29 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection Gabriel Huang I. Laradji David Vazquez Simon Lacoste-Julien Pau Rodríguez López ObjD 40 79 0 27 Oct 2021
Node-wise Localization of Graph Neural Networks Zemin Liu Yuan Fang Chenghao Liu Guosheng Lin 30 25 0 27 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-Man Cheung 28 28 0 27 Oct 2021
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding Yin Hua Wen Zhang Yushan Zhu Hongting Zhou Zonggang Yuan Changliang Xu Hua-zeng Chen 30 56 0 27 Oct 2021
Meta-learning with an Adaptive Task Scheduler Huaxiu Yao Yu Wang Ying Wei P. Zhao M. Mahdavi Defu Lian Chelsea Finn OOD 38 47 0 26 Oct 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 40 20 0 26 Oct 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski Przemysław Spurek Maciej Ziȩba 23 19 0 26 Oct 2021
Meta-Learning for Multi-Label Few-Shot Classification Christian Simon Piotr Koniusz Mehrtash Harandi 38 25 0 26 Oct 2021
Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware Jinting Zhu Ju-Seong Jang Amardeep Singh P. Watters S. Çamtepe AAML 26 9 0 26 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 36 1 0 26 Oct 2021
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference Junying Huang Fan Chen Sibo Huang Dongyu Zhang ObjD 29 1 0 26 Oct 2021
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs Michael Penwarden Shandian Zhe A. Narayan Robert M. Kirby PINN AI4CE 38 39 0 26 Oct 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark Zhenxi Zhu Limin Wang Sheng Guo Gangshan Wu 56 32 0 24 Oct 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu Wang Siegfried Mercelis Hanyu Wang 21 22 0 22 Oct 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 64 102 0 22 Oct 2021
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation A. Tavera Fabio Cermelli Carlo Masone Barbara Caputo 29 19 0 22 Oct 2021
Personalized Transfer of User Preferences for Cross-domain Recommendation Yongchun Zhu Zhenwei Tang Yudan Liu Fuzhen Zhuang Ruobing Xie Xu-Yao Zhang Leyu Lin Qing He 27 168 0 21 Oct 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 55 2 0 21 Oct 2021
Constrained Mean Shift for Representation Learning Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL 45 0 0 19 Oct 2021
Who calls the shots? Rethinking Few-Shot Learning for Audio Yu Wang Nicholas J. Bryan Justin Salamon M. Cartwright J. P. Bello VLM 35 25 0 18 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 52 37 0 18 Oct 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data H. Cui Dong Wei Kai Ma Shi Gu Yefeng Zheng 27 39 0 18 Oct 2021
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 27 22 0 18 Oct 2021