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Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

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Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Jingsong Xu 86 30 0 07 Apr 2019
Few-Shot Learning via Saliency-guided Hallucination of Samples Hongguang Zhang Jing Zhang Piotr Koniusz 105 203 0 06 Apr 2019
Learning to Adapt for Stereo A. Tonioni Oscar Rahnama Thomas Joy Luigi Di Stefano Thalaiyasingam Ajanthan Philip Torr 110 85 0 05 Apr 2019
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning Duo Wang Yu Cheng Mo Yu Xiaoxiao Guo Zhang Tao VLM 70 3 0 04 Apr 2019
Comparison Network for One-Shot Conditional Object Detection Tengfei Zhang Yue Zhang Xian Sun Hao Sun Ming Yan Xue Yang Kun Fu ObjD 154 23 0 04 Apr 2019
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 132 296 0 03 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li Lei Wang Jinglin Xu Jing Huo Yang Gao Jiebo Luo 110 495 0 28 Mar 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 155 198 0 27 Mar 2019
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening Qian Wang K. Ismail T. Breckon 42 17 0 25 Mar 2019
Few-Shot Learning-Based Human Activity Recognition Siwei Feng Marco F. Duarte 50 71 0 25 Mar 2019
Learning from Adversarial Features for Few-Shot Classification Wei Shen Ziqiang Shi Jun Sun 49 9 0 25 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 108 491 0 25 Mar 2019
Interpreting Neural Networks Using Flip Points Roozbeh Yousefzadeh D. O’Leary AAML FAtt 47 17 0 21 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 98 665 0 19 Mar 2019
Dense Classification and Implanting for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard Andrei Bursuc VLM 70 198 0 12 Mar 2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri 95 98 0 11 Mar 2019
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition Paresh Malalur Tommi Jaakkola ObjD VLM 40 0 0 11 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata 99 145 0 08 Mar 2019
Ranked List Loss for Deep Metric Learning Xinshao Wang Yang Hua Elyor Kodirov N. Robertson 168 248 0 08 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 158 620 0 07 Mar 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning Chi Zhang Guosheng Lin Fayao Liu Rui Yao Chunhua Shen VLM SSeg 76 546 0 06 Mar 2019
Semi-Supervised Few-Shot Learning with Prototypical Random Walks A. Ayyad Yuchen Li Nassir Navab Shadi Albarqouni Mohamed Elhoseiny 49 7 0 06 Mar 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Yizhe Zhu Jianwen Xie Zhiqiang Tang Xi Peng Ahmed Elgammal VLM 105 121 0 01 Mar 2019
Provable Guarantees for Gradient-Based Meta-Learning M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 150 150 0 27 Feb 2019
Induction Networks for Few-Shot Text Classification Ruiying Geng Binhua Li Yongbin Li Xiao-Dan Zhu Ping Jian Jian Sun 111 186 0 27 Feb 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Antreas Antoniou Amos Storkey SSL 117 75 0 26 Feb 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning Amit Alfassy Leonid Karlinsky Amit Aides J. Shtok Sivan Harary Rogerio Feris Raja Giryes A. Bronstein 136 119 0 26 Feb 2019
A Theoretical Analysis of Contrastive Unsupervised Representation Learning Sanjeev Arora H. Khandeparkar M. Khodak Orestis Plevrakis Nikunj Saunshi SSL 135 785 0 25 Feb 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time Gabriel Huang Hugo Larochelle Simon Lacoste-Julien SSL OOD 130 21 0 22 Feb 2019
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting Jun Shu Qi Xie Lixuan Yi Qian Zhao Sanping Zhou Zongben Xu Deyu Meng NoLa 29 4 0 20 Feb 2019
Adaptive Masked Proxies for Few-Shot Segmentation Mennatullah Siam Boris N. Oreshkin Martin Jägersand 82 33 0 19 Feb 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 158 276 0 19 Feb 2019
ProtoAttend: Attention-Based Prototypical Learning Sercan O. Arik Tomas Pfister 95 19 0 17 Feb 2019
Realizing Continual Learning through Modeling a Learning System as a Fiber Bundle Zhenfeng Cao 40 2 0 16 Feb 2019
Infinite Mixture Prototypes for Few-Shot Learning Kelsey R. Allen Evan Shelhamer Hanul Shin J. Tenenbaum 81 249 0 12 Feb 2019
Context-Aware Visual Compatibility Prediction Guillem Cucurull Perouz Taslakian David Vazquez 94 99 0 10 Feb 2019
The Omniglot challenge: a 3-year progress report Brenden M. Lake Ruslan Salakhutdinov J. Tenenbaum VLM 55 135 0 09 Feb 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 95 124 0 09 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 122 78 0 07 Feb 2019
Centroid-based deep metric learning for speaker recognition Jixuan Wang Kuan-Chieh Wang M. Law Frank Rudzicz M. Brudno SSL 67 103 0 06 Feb 2019
Meta-Amortized Variational Inference and Learning Mike Wu Kristy Choi Noah D. Goodman Stefano Ermon OOD VLM BDL DRL 84 36 0 05 Feb 2019
Domain invariant hierarchical embedding for grocery products recognition A. Tonioni Luigi Di Stefano BDL 117 33 0 02 Feb 2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification Blaž Škrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak 103 44 0 01 Feb 2019
Episodic Training for Domain Generalization Da Li Jianshu Zhang Yongxin Yang Cong Liu Yi-Zhe Song Timothy M. Hospedales OOD 185 450 0 31 Jan 2019
Feature-Critic Networks for Heterogeneous Domain Generalization Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales OOD 124 256 0 31 Jan 2019
Hyperspherical Prototype Networks Pascal Mettes Elise van der Pol Cees G. M. Snoek 106 127 0 29 Jan 2019
Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts Pengkai Zhu Hanxiao Wang Venkatesh Saligrama VLM 75 10 0 25 Jan 2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss Björn Barz Joachim Denzler 84 132 0 25 Jan 2019
Self-Supervised Generalisation with Meta Auxiliary Learning Shikun Liu Andrew J. Davison Edward Johns SSL OOD 94 163 0 25 Jan 2019
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction Huaxiu Yao Yiding Liu Ying Wei Xianfeng Tang Z. Li AI4TS 207 226 0 24 Jan 2019