Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

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Title
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 26 75 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 33 50 0 16 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 15 79 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 30 84 0 14 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 53 24 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 24 47 0 10 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 34 37 0 09 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 47 22 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 48 280 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 28 25 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 38 8 0 08 Jun 2021
Meta-Learning to Compositionally Generalize Henry Conklin Bailin Wang Kenny Smith Ivan Titov OOD 43 73 0 08 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 42 27 0 06 Jun 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Dong Min Dong Bok Lee Eunho Yang Sung Ju Hwang 25 161 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 35 9 0 05 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 33 137 0 04 Jun 2021
Stochastic Whitening Batch Normalization Shengdong Zhang E. Nezhadarya H. Fashandi Jiayi Liu Darin Graham Mohak Shah 21 10 0 03 Jun 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation Binghao Liu Yao Ding Jianbin Jiao Xiangyang Ji QiXiang Ye 29 47 0 01 Jun 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 35 57 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 13 39 0 29 May 2021
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning Thomas Dopierre Christophe Gravier Wilfried Logerais 22 32 0 27 May 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 23 428 0 24 May 2021
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks S. K. Roy Mercedes Eugenia Paoletti J. Haut S. Dubey Purushottam Kar A. Plaza B. B. Chaudhuri ODL 34 18 0 21 May 2021
Flexible Compositional Learning of Structured Visual Concepts Yanli Zhou Brenden M. Lake OCL CoGe 11 7 0 20 May 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering Tuong Khanh Long Do Binh X. Nguyen Erman Tjiputra Minh-Ngoc Tran Quang-Dieu Tran A. Nguyen 40 99 0 19 May 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 32 92 0 14 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 23 20 0 07 May 2021
Few-shot Partial Multi-view Learning Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Jiebo Luo 36 1 0 05 May 2021
Hallucination Improves Few-Shot Object Detection Weilin Zhang Yu-xiong Wang ObjD 59 110 0 04 May 2021
Subspace Representation Learning for Few-shot Image Classification Ting-Yao Hu Zhi-Qi Cheng Alexander G. Hauptmann 39 5 0 02 May 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 29 147 0 28 Apr 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer Fahad Shahbaz Khan VLM 37 24 0 26 Apr 2021
Mutual Contrastive Learning for Visual Representation Learning Chuanguang Yang Zhulin An Linhang Cai Yongjun Xu VLM SSL 108 75 0 26 Apr 2021
Towards Visual Semantics Fausto Giunchiglia L. Erculiani Andrea Passerini 22 16 0 26 Apr 2021
Demystification of Few-shot and One-shot Learning I. Tyukin A. Gorban Muhammad H. Alkhudaydi Qinghua Zhou 29 13 0 25 Apr 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 37 7 0 21 Apr 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 27 6 0 19 Apr 2021
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes O. Sabo Yanai Elazar Yoav Goldberg Ido Dagan 30 39 0 17 Apr 2021
Learning To Count Everything Viresh Ranjan U. Sharma Thua Nguyen Minh Hoai 29 141 0 16 Apr 2021
Few-shot Image Generation via Cross-domain Correspondence Utkarsh Ojha Yijun Li Jingwan Lu Alexei A. Efros Yong Jae Lee Eli Shechtman Richard Y. Zhang 31 259 0 13 Apr 2021
Contextual HyperNetworks for Novel Feature Adaptation A. Lamb Evgeny S. Saveliev Yingzhen Li Sebastian Tschiatschek Camilla Longden Simon Woodhead José Miguel Hernández-Lobato Richard Turner Pashmina Cameron Cheng Zhang OOD 22 6 0 12 Apr 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples Dian Yu Luheng He Yuan Zhang Xinya Du Panupong Pasupat Qi Li VLM 33 51 0 12 Apr 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection Nadine Chang Zhiding Yu Yu-xiong Wang Anima Anandkumar Sanja Fidler J. Álvarez 45 37 0 12 Apr 2021
Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface Michael Desmond Zahra Ashktorab Michelle Brachman Kristina Brimijoin Evelyn Duesterwald ... Catherine Finegan-Dollak Michael J. Muller N. Joshi Qian Pan Aabhas Sharma 29 50 0 09 Apr 2021
Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations Guanghao Yin Wei Wang Zehuan Yuan Wei Ji Dongdong Yu Shouqian Sun Tat-Seng Chua Changhu Wang 30 14 0 08 Apr 2021
Few-Shot Action Recognition with Compromised Metric via Optimal Transport Su Lu Han-Jia Ye De-Chuan Zhan 31 18 0 08 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 38 26 0 06 Apr 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation Gen Li Varun Jampani Laura Sevilla-Lara Deqing Sun Jonghyun Kim Joongkyu Kim 37 354 0 05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 34 289 0 04 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 35 4 0 01 Apr 2021