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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
Max-margin Class Imbalanced Learning with Gaussian Affinity Munawar Hayat Salman Khan Waqas Zamir Jianbing Shen Ling Shao 69 24 0 23 Jan 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 143 442 0 17 Jan 2019
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data Harshita Seth Pulkit Kumar Muktabh Mayank Srivastava 141 12 0 12 Jan 2019
Anticipation and next action forecasting in video: an end-to-end model with memory F. Pirri L. Mauro Edoardo Alati Valsamis Ntouskos Mahdieh Izadpanahkakhk Elham Omrani AI4TS 90 13 0 11 Jan 2019
Low-Shot Learning from Imaginary 3D Model Frederik Pahde M. Puscas Jannik Wolff T. Klein N. Sebe Moin Nabi 95 11 0 04 Jan 2019
Similarity R-C3D for Few-shot Temporal Activity Detection Huijuan Xu Bingyi Kang Ximeng Sun Jiashi Feng Kate Saenko Trevor Darrell 81 11 0 25 Dec 2018
Learning Compositional Representations for Few-Shot Recognition P. Tokmakov Yu-Xiong Wang M. Hebert OCL 106 126 0 21 Dec 2018
Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu Zhirong Wu Han Hu Stephen Lin 86 62 0 20 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 97 32 0 18 Dec 2018
Composing Text and Image for Image Retrieval - An Empirical Odyssey Nam S. Vo Lu Jiang Chen Sun Kevin Patrick Murphy Li Li Li Fei-Fei James Hays CoGe 88 370 0 18 Dec 2018
Few-shot classification in Named Entity Recognition Task Alexander Fritzler V. Logacheva M. Kretov 95 199 0 14 Dec 2018
Reconciling meta-learning and continual learning with online mixtures of tasks Ghassen Jerfel Erin Grant Thomas Griffiths Katherine A. Heller FedML CLL BDL 132 12 0 14 Dec 2018
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax Peng Lu Gao Huang Hangyu Lin Wenming Yang G. Guo Yanwei Fu 65 16 0 11 Dec 2018
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning Yunxiao Qin Weiguo Zhang Chenxu Zhao Zezheng Wang Xiangyu Zhu Guojun Qi Jingping Shi Zhen Lei 74 24 0 11 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 222 672 0 10 Dec 2018
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection D. Cozzolino Justus Thies Andreas Rossler Christian Riess Matthias Nießner L. Verdoliva AAML 98 270 0 06 Dec 2018
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 276 1,078 0 06 Dec 2018
Continual Learning Augmented Investment Decisions Daniel Philps Tillman Weyde Artur Garcez R. Batchelor 69 11 0 06 Dec 2018
Few-shot Object Detection via Feature Reweighting Bingyi Kang Zhuang Liu Xin Wang Feng Yu Jiashi Feng Trevor Darrell ObjD OffRL 164 702 0 05 Dec 2018
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders Edgar Schönfeld Sayna Ebrahimi Samarth Sinha Trevor Darrell Zeynep Akata DRL 172 599 0 05 Dec 2018
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations Tillman Weyde R. Kopparti 35 9 0 04 Dec 2018
Meta Learning Deep Visual Words for Fast Video Object Segmentation Harkirat Singh Behl M. Najafi Anurag Arnab Philip Torr VOS 65 18 0 04 Dec 2018
Learning to match transient sound events using attentional similarity for few-shot sound recognition Szu-Yu Chou Kai-Hsiang Cheng J. Jang Yi-Hsuan Yang 111 59 0 04 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 196 1,428 0 03 Dec 2018
Transferring Knowledge across Learning Processes Sebastian Flennerhag Pablo G. Moreno Neil D. Lawrence Andreas C. Damianou 70 64 0 03 Dec 2018
Cross-Modulation Networks for Few-Shot Learning Hugo Prol Vincent Dumoulin Luis Herranz 77 15 0 01 Dec 2018
Unsupervised Meta-Learning For Few-Shot Image Classification Siavash Khodadadeh Ladislau Bölöni M. Shah SSL VLM 76 140 0 28 Nov 2018
Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem Jingyu Sun Sarah Parisot Fengwei Zhou Xingzhi Zhang A. Leonardis Zhenguo Li Greg Slabaugh 43 8 0 28 Nov 2018
One-Shot Instance Segmentation Claudio Michaelis Ivan Ustyuzhaninov Matthias Bethge Alexander S. Ecker ISeg 113 89 0 28 Nov 2018
Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance Wei Shen Rujie Liu 29 1 0 27 Nov 2018
Universal Semi-Supervised Semantic Segmentation Tarun Kalluri G. Varma Manmohan Chandraker C. V. Jawahar 106 97 0 26 Nov 2018
Self Paced Adversarial Training for Multimodal Few-shot Learning Frederik Pahde O. Ostapenko P. Jähnichen T. Klein Moin Nabi 76 25 0 22 Nov 2018
HyperAdam: A Learnable Task-Adaptive Adam for Network Training Shipeng Wang Jian Sun Zongben Xu ODL 57 22 0 22 Nov 2018
Progressive Feature Alignment for Unsupervised Domain Adaptation Chaoqi Chen Weiping Xie Wenbing Huang Yu Rong Xinghao Ding Yue Huang Tingyang Xu Junzhou Huang 94 414 0 21 Nov 2018
Recent Advances in Open Set Recognition: A Survey Chuanxing Geng Sheng-Jun Huang Songcan Chen BDL ObjD 207 777 0 21 Nov 2018
Guiding Policies with Language via Meta-Learning John D. Co-Reyes Abhishek Gupta Suvansh Sanjeev Nick Altieri Jacob Andreas John DeNero Pieter Abbeel Sergey Levine LM&Ro 93 64 0 19 Nov 2018
Representation based and Attention augmented Meta learning Yunxiao Qin Chenxu Zhao Zezheng Wang Junliang Xing Jun Wan Zhen Lei 44 1 0 19 Nov 2018
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification Yuchen Li Safwan Hossain Kiarash Jamali Frank Rudzicz 28 1 0 18 Nov 2018
RelationNet2: Deep Comparison Columns for Few-Shot Learning Xueting Zhang Yuting Qiang Flood Sung Yongxin Yang Timothy M. Hospedales 64 18 0 17 Nov 2018
Data-Efficient Graph Embedding Learning for PCB Component Detection Chia-Wen Kuo Jacob Ashmore David Huggins Z. Kira 36 47 0 16 Nov 2018
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks Jing Shi Jiaming Xu Yiqun Yao Bo Xu 73 24 0 15 Nov 2018
Power Normalizing Second-order Similarity Network for Few-shot Learning Hongguang Zhang Piotr Koniusz 88 59 0 10 Nov 2018
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 65 20 0 09 Nov 2018
Multimodal One-Shot Learning of Speech and Images Ryan Eloff H. Engelbrecht Herman Kamper SSL VLM 72 35 0 09 Nov 2018
Few-shot learning with attention-based sequence-to-sequence models Bertrand Higy P. Bell 63 6 0 08 Nov 2018
Prototypical Clustering Networks for Dermatological Disease Diagnosis Siyu Dai Shawn Schaffert Murali Ravuri Manish Chablani David Sontag B. Williams 78 18 0 07 Nov 2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks Hang Gao Zheng Shou Alireza Zareian Hanwang Zhang Shih-Fu Chang GAN 107 137 0 27 Oct 2018
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 138 266 0 25 Oct 2018
Training neural audio classifiers with few data Jordi Pons Joan Serrà Xavier Serra 115 57 0 24 Oct 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation Xu Han Hao Zhu Pengfei Yu Ziyun Wang Yuan Yao Zhiyuan Liu Maosong Sun SLR 101 617 0 24 Oct 2018