Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,383 papers shown

Title
Few-Shot Semantic Parsing for New Predicates Zhuang Li Lizhen Qu Shuo Huang Gholamreza Haffari NAI 28 9 0 26 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 21 5 0 24 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 65 35 0 23 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 247 510 0 15 Jan 2021
Temporal-Relational CrossTransformers for Few-Shot Action Recognition Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen ViT 31 145 0 15 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 39 68 0 08 Jan 2021
Learning to Generate Task-Specific Adapters from Task Description Qinyuan Ye Xiang Ren 117 29 0 02 Jan 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters Mengjie Zhao Yi Zhu Ehsan Shareghi Ivan Vulić Roi Reichart Anna Korhonen Hinrich Schütze 34 64 0 31 Dec 2020
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation Xiaoyu Chen Chi Zhang Guosheng Lin Jing Han 3DPC 23 16 0 28 Dec 2020
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 33 19 0 24 Dec 2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 44 24 0 20 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 20 97 0 17 Dec 2020
Few-shot Sequence Learning with Transformers Lajanugen Logeswaran Ann Lee Myle Ott Honglak Lee MarcÁurelio Ranzato Arthur Szlam ViT 46 12 0 17 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 49 61 0 14 Dec 2020
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation R. A. Kamraoui Vinh-Thong Ta T. Tourdias Boris Mansencal J. V. Manjón Pierrick Coupé OOD 33 50 0 14 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 179 188 0 11 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 91 111 0 10 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 42 28 0 03 Dec 2020
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding Jiechao Guan Zhiwu Lu Tao Xiang Timothy M. Hospedales 25 0 0 02 Dec 2020
A Study of Few-Shot Audio Classification Piper Wolters Chris Careaga Brian Hutchinson Lauren A. Phillips 30 10 0 02 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 33 17 0 02 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 35 6 0 02 Dec 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 33 29 0 30 Nov 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification Xiaoxu Li Jijie Wu Z. Sun Zhanyu Ma Jie Cao Jing-Hao Xue 21 126 0 29 Nov 2020
Connecting Context-specific Adaptation in Humans to Meta-learning Rachit Dubey Erin Grant Michael Luo Karthik Narasimhan Thomas Griffiths 29 4 0 27 Nov 2020
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction Yixin Cao Jun Kuang Ming Gao Aoying Zhou Yonggang Wen Tat-Seng Chua 33 21 0 27 Nov 2020
Meta-learning in natural and artificial intelligence Jane X. Wang 30 111 0 26 Nov 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 37 274 0 26 Nov 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 30 243 0 25 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 18 70 0 24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
Towards Zero-Shot Learning with Fewer Seen Class Examples Vinay Kumar Verma Ashish Mishra Anubha Pandey H. Murthy Piyush Rai VLM 42 15 0 14 Nov 2020
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories Arman Kazemi M. Sharifi Ann Franchesca Laguna F. Müller R. Rajaei R. Olivo T. Kämpfe Michael Niemier X. S. Hu MQ 13 37 0 13 Nov 2020
Deep Partial Multi-View Learning Changqing Zhang Yajie Cui Zongbo Han Qiufeng Wang Huazhu Fu Q. Hu 57 220 0 12 Nov 2020
Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance Xiao Gong Xi Chen Wei Chen 27 28 0 09 Nov 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 23 63 0 03 Nov 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 36 241 0 30 Oct 2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction Haiyang Yu Ningyu Zhang Shumin Deng Hongbin Ye Wei Zhang Huajun Chen 8 49 0 30 Oct 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference Jianguo Zhang Kazuma Hashimoto Wenhao Liu Chien-Sheng Wu Yao Wan Philip S. Yu R. Socher Caiming Xiong 16 92 0 25 Oct 2020
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting Mahesh Kumar Krishna Reddy Mrigank Rochan Yiwei Lu Yang Wang 37 25 0 23 Oct 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 44 28 0 22 Oct 2020
Graph Attention Networks for Speaker Verification Jee-weon Jung Hee-Soo Heo Ha-Jin Yu Joon Son Chung 25 26 0 22 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 19 34 0 20 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 30 249 0 15 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 32 45 0 13 Oct 2020
Few-shot Learning for Multi-label Intent Detection Yutai Hou Y. Lai Yushan Wu Wanxiang Che Ting Liu VLM 21 49 0 11 Oct 2020
Generalized Few-shot Semantic Segmentation Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia VLM 27 81 0 11 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 34 11 0 09 Oct 2020
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning Yi Yang Arzoo Katiyar NAI 36 61 0 06 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 45 10 0 05 Oct 2020