v1v2 (latest)

Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 3,468 papers shown

Title
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Ingyo Chung Saehoon Kim Juho Lee Kwang Joon Kim Sung Ju Hwang Eunho Yang BDL FedML 82 16 0 05 Jun 2018
Deep Mixture of Experts via Shallow Embedding Xin Wang Feng Yu Lisa Dunlap Yi-An Ma Ruth Wang Azalia Mirhoseini Trevor Darrell Joseph E. Gonzalez MoE 60 1 0 05 Jun 2018
Meta-Learner with Linear Nulling Sung Whan Yoon Jun Seo Jaekyun Moon 33 1 0 04 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 128 65 0 31 May 2018
Object-Level Representation Learning for Few-Shot Image Classification Liangqu Long Wei Wang Jun Wen Meihui Zhang Qian Lin Beng Chin Ooi VLM 53 9 0 28 May 2018
Few-Shot Segmentation Propagation with Guided Networks Kate Rakelly Evan Shelhamer Trevor Darrell Alexei A. Efros Sergey Levine 94 119 0 25 May 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 126 671 0 25 May 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 142 265 0 24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 143 1,320 0 23 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 193 1,334 0 23 May 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning Tyler R. Scott Karl Ridgeway Michael C. Mozer 111 84 0 22 May 2018
AgileNet: Lightweight Dictionary-based Few-shot Learning M. Ghasemzadeh Fang Lin B. Rouhani F. Koushanfar Ke Huang 53 6 0 21 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 145 933 0 21 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 101 465 0 20 May 2018
Diverse Few-Shot Text Classification with Multiple Metrics Mo Yu Xiaoxiao Guo Jinfeng Yi Shiyu Chang Saloni Potdar Yu Cheng Gerald Tesauro Haoyu Wang Bowen Zhou 69 216 0 19 May 2018
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples Xiu-Shen Wei Peng Wang Lingqiao Liu Chunhua Shen Jianxin Wu 80 125 0 11 May 2018
Towards a universal neural network encoder for time series Joan Serrà Santiago Pascual Alexandros Karatzoglou AI4TS 92 123 0 10 May 2018
End-to-End Refinement Guided by Pre-trained Prototypical Classifier Junwen Bai Zihang Lai Runzhe Yang Yexiang Xue J. Gregoire Carla P. Gomes 39 1 0 07 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 431 3,480 0 05 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 128 1,132 0 25 Apr 2018
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks Fusheng Hao Jun Cheng Lei Wang Xinchao Wang Jianzhong Cao Xiping Hu Dapeng Tao 25 1 0 22 Apr 2018
Deep Triplet Ranking Networks for One-Shot Recognition Meng Ye Yuhong Guo 59 36 0 19 Apr 2018
Multi-level Semantic Feature Augmentation for One-shot Learning Z. Chen Yanwei Fu Yinda Zhang Yu-Gang Jiang Xiangyang Xue Leonid Sigal 101 237 0 15 Apr 2018
Differentiable plasticity: training plastic neural networks with backpropagation Thomas Miconi Jeff Clune Kenneth O. Stanley AI4CE 95 154 0 06 Apr 2018
Few-Shot Text Classification with Pre-Trained Word Embeddings and a Human in the Loop Katherine Bailey Sunny Chopra 42 20 0 05 Apr 2018
Meta-Learning Update Rules for Unsupervised Representation Learning Luke Metz Niru Maheswaranathan Brian Cheung Jascha Narain Sohl-Dickstein SSL OOD 93 123 0 31 Mar 2018
One-Shot Segmentation in Clutter Claudio Michaelis Matthias Bethge Alexander S. Ecker 73 40 0 26 Mar 2018
Feature Transfer Learning for Deep Face Recognition with Under-Represented Data Xi Yin Xiang Yu Kihyuk Sohn Xiaoming Liu Manmohan Chandraker CVBM 78 35 0 23 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 118 1,287 0 02 Mar 2018
Memory-based Parameter Adaptation Pablo Sprechmann Siddhant M. Jayakumar Jack W. Rae Alexander Pritzel Adria Puigdomenech Badia Benigno Uria Oriol Vinyals Demis Hassabis Razvan Pascanu Charles Blundell ODL OOD VLM 95 102 0 28 Feb 2018
Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval Xuefei Zhe Shifeng Chen Hong-Mei Yan 62 73 0 27 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 85 398 0 22 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine OffRL 156 350 0 20 Feb 2018
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing Somnath Basu Roy Chowdhury K. Annervaz Ambedkar Dukkipati 48 10 0 16 Feb 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss Karl Ridgeway Michael C. Mozer FedML DRL CoGe 126 219 0 14 Feb 2018
Challenging Images For Minds and Machines Amir Rosenfeld John K. Tsotsos VLM 31 1 0 13 Feb 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings Nathan Hilliard Lawrence Phillips Scott Howland A. Yankov Court D. Corley Nathan Oken Hodas SSL 90 159 0 12 Feb 2018
Deep Meta-Learning: Learning to Learn in the Concept Space Fengwei Zhou Bin Wu Zhenguo Li SSL 88 123 0 10 Feb 2018
Local Contrast Learning Chuanyun Xu Yang Zhang Xin Feng Yongxin Ge Yihao Zhang Jianwu Long 38 0 0 10 Feb 2018
Sometimes You Want to Go Where Everybody Knows your Name Reuben Brasher Nat Roth Justin Wagle 62 0 0 30 Jan 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 109 510 0 26 Jan 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Yoonho Lee Seungjin Choi 70 27 0 17 Jan 2018
Low-Shot Learning from Imaginary Data Yu-Xiong Wang Ross B. Girshick M. Hebert Bharath Hariharan VLM 172 677 0 16 Jan 2018
Low-Shot Learning with Imprinted Weights Qi Matthew A. Brown D. Lowe VLM 63 12 0 19 Dec 2017
Label Efficient Learning of Transferable Representations across Domains and Tasks Zelun Luo Yuliang Zou Judy Hoffman Li Fei-Fei 86 277 0 30 Nov 2017
Semi-Supervised and Active Few-Shot Learning with Prototypical Networks Rinu Boney Alexander Ilin VLM 90 27 0 29 Nov 2017
Unsupervised Domain Adaptation with Similarity Learning Pedro H. O. Pinheiro SSL OOD 148 270 0 24 Nov 2017
Visual Question Answering as a Meta Learning Task Damien Teney Anton Van Den Hengel OOD 83 42 0 22 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 530 4,070 0 16 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 201 1,076 0 12 Nov 2017