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Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 3,468 papers shown

Title
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data Wanyu Lin Zhaolin Gao Baochun Li 50 1 0 28 Oct 2019
HIDRA: Head Initialization across Dynamic targets for Robust Architectures Rafael Rêgo Drumond L. Brinkmeyer Josif Grabocka Lars Schmidt-Thieme 92 4 0 28 Oct 2019
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning Sadaf Gull F. Minhas 70 10 0 28 Oct 2019
Meta Learning for End-to-End Low-Resource Speech Recognition Jui-Yang Hsu Yuan-Jui Chen Hung-yi Lee 76 105 0 26 Oct 2019
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection Shumin Deng Ningyu Zhang Jiaojian Kang Yichi Zhang Wei Zhang Huajun Chen 101 136 0 25 Oct 2019
Meta-learning for robust child-adult classification from speech Nithin Rao Koluguri Manoj Kumar So Hyun Kim C. Lord Shrikanth Narayanan 74 19 0 24 Oct 2019
Accurate Layerwise Interpretable Competence Estimation Vickram Rajendran Will LeVine 82 10 0 24 Oct 2019
Identifying Unknown Instances for Autonomous Driving K. Wong Shenlong Wang Mengye Ren Ming Liang R. Urtasun 143 112 0 24 Oct 2019
Meta Matrix Factorization for Federated Rating Predictions Yujie Lin Fajie Yuan Zhumin Chen Zhaochun Ren Dongxiao Yu Jun Ma Maarten de Rijke Xiuzhen Cheng 146 121 0 22 Oct 2019
A Prototypical Triplet Loss for Cover Detection Guillaume Doras Geoffroy Peeters 45 17 0 22 Oct 2019
Convolutional Prototype Learning for Zero-Shot Recognition Zhizhe Liu Xingxing Zhang Zhenfeng Zhu Shuai Zheng Yao Zhao Jian Cheng VLM 109 19 0 22 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 193 1,225 0 21 Oct 2019
Texture Bias Of CNNs Limits Few-Shot Classification Performance Sam Ringer Will Williams T. Ash R. Francis D. Macleod SSL 57 12 0 18 Oct 2019
On Warm-Starting Neural Network Training Jordan T. Ash Ryan P. Adams AI4CE 60 21 0 18 Oct 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 290 647 0 17 Oct 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification Tianyu Gao Xu Han Hao Zhu Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 267 248 0 16 Oct 2019
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules Irfan Al-Hussaini Cao Xiao M. P. M. Brandon Westover Jimeng Sun AI4TS 26 18 0 14 Oct 2019
Self-supervised Label Augmentation via Input Transformations Hankook Lee Sung Ju Hwang Jinwoo Shin SSL 77 63 0 14 Oct 2019
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey BDL 92 19 0 11 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 101 85 0 09 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 100 171 0 08 Oct 2019
Semi Few-Shot Attribute Translation Ricard Durall Franz-Josef Pfreundt J. Keuper GAN VLM 70 3 0 08 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 139 168 0 07 Oct 2019
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels Daniel Y. Fu Will Crichton James Hong Xinwei Yao Haotian Zhang A. Truong A. Narayan Maneesh Agrawala Christopher Ré Kayvon Fatahalian 70 49 0 07 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 113 104 0 07 Oct 2019
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 185 135 0 06 Oct 2019
Few-shot tweet detection in emerging disaster events Anna M. Kruspe 29 8 0 05 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian 75 182 0 05 Oct 2019
Few-Shot Abstract Visual Reasoning With Spectral Features Tanner A. Bohn Yining Hu Charles X. Ling VLM 49 3 0 04 Oct 2019
An empirical study of pretrained representations for few-shot classification Tiago Ramalho Laura Vana-Gur P. Filzmoser VLM 57 6 0 03 Oct 2019
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach Micah Goldblum Liam H. Fowl Tom Goldstein 86 13 0 02 Oct 2019
Graph convolutional networks for learning with few clean and many noisy labels Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum Cordelia Schmid SSL 84 19 0 01 Oct 2019
Revisiting Fine-tuning for Few-shot Learning Akihiro Nakamura Tatsuya Harada 133 54 0 01 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 108 149 0 30 Sep 2019
Blessing of dimensionality at the edge I. Tyukin Alexander N. Gorban A. McEwan Sepehr Meshkinfamfard Lixin Tang 54 8 0 30 Sep 2019
Meta-learning algorithms for Few-Shot Computer Vision Etienne Bennequin VLM 84 6 0 30 Sep 2019
Chameleon: Learning Model Initializations Across Tasks With Different Schemas L. Brinkmeyer Rafael Rêgo Drumond Randolf Scholz Josif Grabocka Lars Schmidt-Thieme CLL 78 9 0 30 Sep 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 112 96 0 29 Sep 2019
Feature Weighting and Boosting for Few-Shot Segmentation Khoi Duc Minh Nguyen S. Todorovic 131 331 0 28 Sep 2019
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction Xu Han Tianyu Gao Yuan Yao Deming Ye Zhiyuan Liu Maosong Sun KELM VLM 122 152 0 28 Sep 2019
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation Yu Liu Lingqiao Liu Haokui Zhang S. Hamid Rezatofighi Ian Reid VOS 50 9 0 28 Sep 2019
BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization Yuyang Gao Giorgio Ascoli Liang Zhao 81 16 0 27 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 147 563 0 26 Sep 2019
A Theoretical Analysis of the Number of Shots in Few-Shot Learning Tianshi Cao M. Law Sanja Fidler 98 63 0 25 Sep 2019
Stochastic Prototype Embeddings Tyler R. Scott Karl Ridgeway Michael C. Mozer BDL UQCV 61 14 0 25 Sep 2019
Decoder Choice Network for Meta-Learning Jialin Liu Yong Li Longzhi Yang Chih-Min Lin Q. Shen 40 9 0 25 Sep 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion Zihao Wang K. Lai Piji Li Lidong Bing W. Lam 88 34 0 25 Sep 2019
DECoVaC: Design of Experiments with Controlled Variability Components Thomas Boquet Laure Delisle Denis Kochetkov Nathan Schucher Parmida Atighehchian Boris N. Oreshkin Julien Cornebise 55 1 0 21 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 325 648 0 19 Sep 2019
A New Few-shot Segmentation Network Based on Class Representation Yuwei Yang Fanman Meng Hongliang Li K. Ngan Qingbo Wu 36 8 0 19 Sep 2019