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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

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Title
SPeCiaL: Self-Supervised Pretraining for Continual Learning Lucas Caccia Joelle Pineau CLL SSL 76 19 0 16 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Yue Liu 112 90 0 16 Jun 2021
Transductive Few-Shot Learning: Clustering is All You Need? Imtiaz Masud Ziko Malik Boudiaf Jose Dolz Eric Granger Ismail Ben Ayed 48 3 0 16 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong Sung Ju Hwang 83 26 0 16 Jun 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training Li-Ming Zhan Haowen Liang Bo Liu Lu Fan Xiao-Ming Wu Albert Y. S. Lam OODD 61 80 0 16 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 79 50 0 16 Jun 2021
Contextualizing Meta-Learning via Learning to Decompose Han-Jia Ye Da-Wei Zhou Lanqing Hong Zhenguo Li Xiu-Shen Wei De-Chuan Zhan 85 7 0 15 Jun 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization Risheng Liu Xuan Liu Xiaoming Yuan Shangzhi Zeng Jin Zhang 83 80 0 15 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Rogerio Feris Richard J. Radke 133 85 0 14 Jun 2021
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification Weichuan Zhang Xuefang Liu Zhengrong Xue Yongsheng Gao Changming Sun 67 9 0 13 Jun 2021
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification Kaize Ding Jianling Wang Jundong Li James Caverlee Huan Liu OOD OffRL 87 6 0 12 Jun 2021
Knowledge Consolidation based Class Incremental Online Learning with Limited Data M. A. Karim Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai CLL 32 0 0 12 Jun 2021
Learngene: From Open-World to Your Learning Task Qiufeng Wang Xin Geng Shuxia Lin Shiyu Xia Lei Qi Ning Xu 90 23 0 12 Jun 2021
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction Mateusz Michalkiewicz Stavros Tsogkas Sarah Parisot Mahsa Baktash Anders P. Eriksson Eugene Belilovsky 3DV 3DPC 54 2 0 11 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 100 25 0 11 Jun 2021
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification Yang Liu Weifeng Zhang Chao Xiang Tu Zheng Deng Cai Xiaofei He FedML 123 48 0 10 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 89 38 0 09 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 104 23 0 09 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio 37 1 0 09 Jun 2021
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation Ho Kei Cheng Yu-Wing Tai Chi-Keung Tang VOS 100 289 0 09 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 104 26 0 09 Jun 2021
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Bokun Wang Zhuoning Yuan Yiming Ying Tianbao Yang FedML 102 11 0 09 Jun 2021
Probabilistic task modelling for meta-learning Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 77 5 0 09 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 76 9 0 08 Jun 2021
Meta-Learning to Compositionally Generalize Henry Conklin Bailin Wang Kenny Smith Ivan Titov OOD 104 76 0 08 Jun 2021
Few-Shot Action Localization without Knowing Boundaries Tingting Xie Christos Tzelepis Fan Fu Ioannis Patras 67 5 0 08 Jun 2021
Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection Francesco Cappio Borlino S. Polizzotto Barbara Caputo Tatiana Tommasi ObjD 55 5 0 07 Jun 2021
Meta-learning for downstream aware and agnostic pretraining Hongyin Luo Shuyan Dong Yung-Sung Chuang Shang-Wen Li 62 0 0 06 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 84 28 0 06 Jun 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Dong Min Dong Bok Lee Eunho Yang Sung Ju Hwang 134 175 0 06 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually Rahul Ramesh Pratik Chaudhari CLL FedML 111 66 0 06 Jun 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation Yingjun Du Nithin Holla Xiantong Zhen Cees G. M. Snoek Ekaterina Shutova 80 9 0 05 Jun 2021
Meta-Learning with Fewer Tasks through Task Interpolation Huaxiu Yao Linjun Zhang Chelsea Finn 114 56 0 04 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan Gomez Tom Rainforth Y. Gal OOD 3DPC 133 142 0 04 Jun 2021
Stochastic Whitening Batch Normalization Shengdong Zhang E. Nezhadarya H. Fashandi Jiayi Liu Darin Graham Mohak Shah 105 10 0 03 Jun 2021
Personalizing Pre-trained Models Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa A. Hazariwala Pattie Maes VLM 91 5 0 02 Jun 2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations Henry Kvinge Scott Howland Nico Courts Lauren A. Phillips John Buckheit ... J. H. Lee Sandeep Tiwari J. Hibler Court D. Corley Nathan Oken Hodas OODD OOD 33 2 0 02 Jun 2021
Few-Shot Partial-Label Learning Yunfeng Zhao Guoxian Yu Lei Liu Zhongmin Yan Li-zhen Cui C. Domeniconi 40 4 0 02 Jun 2021
Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes Jian-Wei Zhang Lei Lv Yawei Luo Hao Feng Yi Yang Wei Chen VLM 41 4 0 01 Jun 2021
Detecting Anomalies in Semantic Segmentation with Prototypes Dario Fontanel Fabio Cermelli Massimiliano Mancini Barbara Caputo UQCV 83 14 0 01 Jun 2021
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models B. La Rosa Roberto Capobianco Daniele Nardi VLM 50 9 0 01 Jun 2021
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification Hao Cheng Kim-Hui Yap Bihan Wen 61 0 0 01 Jun 2021
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning Sharu Theresa Jose Sangwook Park Osvaldo Simeone PER UD UQCV 82 17 0 01 Jun 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation Binghao Liu Yao Ding Jianbin Jiao Xiangyang Ji QiXiang Ye 107 48 0 01 Jun 2021
Similarity Embedding Networks for Robust Human Activity Recognition Chenglin Li Carrie Lu Tong Di Niu Bei Jiang Xiao Zuo Lei Cheng Jian Xiong Jianming Yang HAI 36 6 0 31 May 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 96 58 0 29 May 2021
Multi-Label Few-Shot Learning for Aspect Category Detection Mengting Hu Shiwan Zhao Honglei Guo Chao Xue H. Gao Tiegang Gao Renhong Cheng Zhong Su 62 40 0 29 May 2021
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning Nan Ding Xi Chen Tomer Levinboim Sebastian Goodman Radu Soricut 77 33 0 28 May 2021
Short-Term Stock Price-Trend Prediction Using Meta-Learning Shin-Hung Chang Cheng-Wen Hsu Hsing-Ying Li Wei-Sheng Zeng Jan-Ming Ho AIFin 54 3 0 28 May 2021
One-shot Learning with Absolute Generalization Hao Su 30 0 0 28 May 2021