v1v2 (latest)

Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Machine learning with limited data Fupin Yao VLM 57 8 0 18 Jan 2021
Linguistically-Enriched and Context-Aware Zero-shot Slot Filling A.B. Siddique Fuad Jamour Vagelis Hristidis 75 26 0 16 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 310 331 0 16 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 336 525 0 15 Jan 2021
Temporal-Relational CrossTransformers for Few-Shot Action Recognition Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen ViT 99 151 0 15 Jan 2021
Structured Prediction as Translation between Augmented Natural Languages Giovanni Paolini Ben Athiwaratkun Jason Krone Jie Ma Alessandro Achille Rishita Anubhai Cicero Nogueira dos Santos Bing Xiang Stefano Soatto 101 295 0 14 Jan 2021
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition Mengting Chen Xinggang Wang Heng Luo Yifeng Geng Wenyu Liu ObjD 183 10 0 13 Jan 2021
The Gaussian Neural Process W. Bruinsma James Requeima Andrew Y. K. Foong Jonathan Gordon Richard Turner BDL 77 29 0 10 Jan 2021
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification Yan Xiao Yaochu Jin K. Hao 102 46 0 10 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 107 72 0 08 Jan 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 113 37 0 07 Jan 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 87 9 0 05 Jan 2021
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition Anugunj Naman Chetan Sinha Liliana Mancini 67 12 0 05 Jan 2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier Arkabandhu Chowdhury Mingchao Jiang Swarat Chaudhuri C. Jermaine VLM 111 42 0 03 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 440 1,987 0 31 Dec 2020
Few-Shot Named Entity Recognition: A Comprehensive Study Jiaxin Huang Chunyuan Li K. Subudhi Damien Jose S. Balakrishnan Weizhu Chen Baolin Peng Jianfeng Gao Jiawei Han 87 80 0 29 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 73 16 0 28 Dec 2020
Data augmentation and image understanding Alex Hernandez-Garcia 31 6 0 28 Dec 2020
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification Piotr Koniusz Hongguang Zhang 91 56 0 27 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 59 51 0 26 Dec 2020
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 36 3 0 26 Dec 2020
Intuitiveness in Active Teaching Jan Philip Göpfert Ulrike Kuhl L. Hindemith H. Wersing Barbara Hammer HAI 122 3 0 25 Dec 2020
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 115 21 0 24 Dec 2020
Union-net: A deep neural network model adapted to small data sets Qingfang He Guang Cheng Zhiying Lin PINN 76 7 0 24 Dec 2020
Progressive One-shot Human Parsing Haoyu He Jing Zhang B. Thuraisingham Dacheng Tao VLM 57 17 0 22 Dec 2020
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval Bhaskar Mitra 83 6 0 21 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Spyros Gidaris Andrei Bursuc Gilles Puy N. Komodakis Matthieu Cord P. Pérez SSL 98 71 0 21 Dec 2020
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning A. Sagel Amit Sahu Stefan Matthes H. Pfeifer Tianming Qiu Harald Ruess Hao Shen Julian Wormann 61 3 0 21 Dec 2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 97 26 0 20 Dec 2020
Minimax Active Learning Sayna Ebrahimi William Gan Dian Chen Giscard Biamby Kamyar Salahi Michael Laielli Shizhan Zhu Trevor Darrell 69 26 0 18 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 99 99 0 17 Dec 2020
Few-shot Sequence Learning with Transformers Lajanugen Logeswaran Ann Lee Myle Ott Honglak Lee MarcÁurelio Ranzato Arthur Szlam ViT 64 12 0 17 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains Massimiliano Mancini OOD 141 0 0 16 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 177 62 0 14 Dec 2020
Variable-Shot Adaptation for Online Meta-Learning Tianhe Yu Xinyang Geng Chelsea Finn Sergey Levine CLL OffRL 58 4 0 14 Dec 2020
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks Reza Esfandiarpoor Amy Pu M. Hajabdollahi Stephen H. Bach CLL 26 7 0 13 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 257 190 0 11 Dec 2020
Are Fewer Labels Possible for Few-shot Learning? Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lefei Zhang Qi Chu Nenghai Yu SSL 63 3 0 10 Dec 2020
Probing Few-Shot Generalization with Attributes Mengye Ren Eleni Triantafillou Kuan-Chieh Wang James Lucas Jake C. Snell Xaq Pitkow A. Tolias R. Zemel VLM OOD 66 3 0 10 Dec 2020
Direct multimodal few-shot learning of speech and images Leanne Nortje Herman Kamper SSL 80 10 0 10 Dec 2020
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 109 50 0 10 Dec 2020
Cold-start Sequential Recommendation via Meta Learner Yujia Zheng Siyi Liu Zekun Li Shu Wu 87 64 0 10 Dec 2020
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding Liyan Sun Chenxin Li Xinghao Ding Yue Huang Guisheng Wang Yizhou Yu 86 120 0 10 Dec 2020
Detection of Adversarial Supports in Few-shot Classifiers Using Self-Similarity and Filtering Y. Tan Penny Chong Jiamei Sun Ngai-Man Cheung Yuval Elovici Alexander Binder 33 1 0 09 Dec 2020
Progressive Network Grafting for Few-Shot Knowledge Distillation Chengchao Shen Xinchao Wang Youtan Yin Mingli Song Sihui Luo Xiuming Zhang 96 49 0 09 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 108 54 0 07 Dec 2020
Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment Paul Pu Liang Peter Wu Liu Ziyin Louis-Philippe Morency Ruslan Salakhutdinov 81 32 0 04 Dec 2020
Batch Group Normalization Xiao-Yun Zhou Jiacheng Sun Nanyang Ye Xu Lan Qijun Luo Bolin Lai P. Esperança Guang-Zhong Yang Zhenguo Li 155 17 0 04 Dec 2020
Few-shot Image Generation with Elastic Weight Consolidation Yijun Li Richard Y. Zhang Jingwan Lu Eli Shechtman 3DH 114 169 0 04 Dec 2020
Model-Agnostic Learning to Meta-Learn A. Devos Yatin Dandi OOD 95 1 0 04 Dec 2020