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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Addressing Catastrophic Forgetting in Few-Shot Problems Pauching Yap H. Ritter David Barber CLL BDL 85 19 0 30 Apr 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 88 28 0 29 Apr 2020
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review Mahdi Rezaei Mahsa Shahidi 115 55 0 29 Apr 2020
Meta-Learning for Few-Shot Land Cover Classification M. Rußwurm Sherrie Wang Marco Körner David B. Lobell 83 84 0 28 Apr 2020
Learning to Learn Morphological Inflection for Resource-Poor Languages Katharina Kann Samuel R. Bowman Kyunghyun Cho 33 9 0 28 Apr 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 94 125 0 27 Apr 2020
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data Xiaoqing Geng Xiwen Chen Kenny Q. Zhu Libin Shen Yinggong Zhao 22 1 0 26 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations Jun Zhang Yao-Kun Lei Zhen Zhang Junhan Chang Maodong Li Xu Han Lijiang Yang Yue Yang Y. Gao AI4CE 116 8 0 25 Apr 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 104 419 0 23 Apr 2020
Learning to Classify Intents and Slot Labels Given a Handful of Examples Jason Krone Yi Zhang Mona T. Diab VLM 82 47 0 22 Apr 2020
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning Manish Bhattarai Diane Oyen Juan Castorena Liping Yang B. Wohlberg 26 9 0 22 Apr 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Wei-wei Zhu Haofu Liao Wenbin Li Weijian Li Jiebo Luo 86 17 0 21 Apr 2020
Quality Guided Sketch-to-Photo Image Synthesis Uche M. Osahor Hadi Kazemi Ali Dabouei Nasser M. Nasrabadi GAN 65 17 0 20 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Zheng-Hua Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 104 32 0 20 Apr 2020
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning Hongcai Xu J. Bao Gaojie Zhang 82 8 0 19 Apr 2020
Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning Hongcai Xu J. Bao Junqing Wang 63 9 0 19 Apr 2020
Meta-Meta Classification for One-Shot Learning Arkabandhu Chowdhury Dipak Chaudhari Swarat Chaudhuri C. Jermaine 74 5 0 17 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 121 35 0 17 Apr 2020
Divergent Search for Few-Shot Image Classification Jeremy Tan Bernhard Kainz 45 0 0 16 Apr 2020
Continual Learning for Anomaly Detection in Surveillance Videos Keval Doshi Y. Yilmaz 392 110 0 15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning Antreas Antoniou Massimiliano Patacchiola Mateusz Ochal Amos Storkey 56 38 0 15 Apr 2020
Regularizing Meta-Learning via Gradient Dropout Hung-Yu Tseng Yi-Wen Chen Yi-Hsuan Tsai Sifei Liu Yen-Yu Lin Ming-Hsuan Yang 66 34 0 13 Apr 2020
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation Tiexin Qin Wenbin Li Yinghuan Shi Yang Gao 69 16 0 13 Apr 2020
Pre-training Text Representations as Meta Learning Shangwen Lv Yuechen Wang Daya Guo Duyu Tang Nan Duan ... Ryan Ma Daxin Jiang Guihong Cao Ming Zhou Songlin Hu AIMat SSL AI4CE 36 9 0 12 Apr 2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World Zhun Zhong Linchao Zhu Shaozi Li Shaozi Li Yi Yang N. Sebe VLM CLL 86 117 0 12 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 418 2,004 0 11 Apr 2020
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning Rohit Jena Shirsendu Sukanta Halder Katia Sycara VLM 20 1 0 10 Apr 2020
Training few-shot classification via the perspective of minibatch and pretraining Meiyu Huang Xueshuang Xiang Yao Xu VLM 13 2 0 10 Apr 2020
Orthogonal Over-Parameterized Training Weiyang Liu Rongmei Lin Zhen Liu James M. Rehg Liam Paull Li Xiong Le Song Adrian Weller 82 45 0 09 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Da Li Timothy M. Hospedales 84 103 0 09 Apr 2020
Universal Source-Free Domain Adaptation Jogendra Nath Kundu Naveen Venkat V. RahulM. R. Venkatesh Babu VLM TTA 88 344 0 09 Apr 2020
Empirical Perspectives on One-Shot Semi-supervised Learning L. Smith A. Conovaloff 31 1 0 08 Apr 2020
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning Lucas May Petry Amílcar Soares Júnior V. Bogorny Bruno Brandoli Stan Matwin 81 27 0 07 Apr 2020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction Xu Han Tianyu Gao Yankai Lin Hao Peng Yaoliang Yang Chaojun Xiao Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 111 138 0 07 Apr 2020
Objectness-Aware Few-Shot Semantic Segmentation Yinan Zhao Brian L. Price Scott D. Cohen Danna Gurari VLM 37 1 0 06 Apr 2020
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs Seong Min Kye Youngmoon Jung Haebeom Lee Sung Ju Hwang Hoirin Kim 124 51 0 06 Apr 2020
Any-Shot Sequential Anomaly Detection in Surveillance Videos Keval Doshi Y. Yilmaz 148 75 0 05 Apr 2020
Optimization of Image Embeddings for Few Shot Learning Arvind Srinivasan Aprameya Bharadwaj M. Sathyan S. Natarajan 46 25 0 04 Apr 2020
Knowledge Guided Metric Learning for Few-Shot Text Classification Dianbo Sui Yubo Chen B. Mao Delai Qiu Kang Liu Jun Zhao 56 25 0 04 Apr 2020
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection Congying Xia Chenwei Zhang Hoang Nguyen Jiawei Zhang Philip Yu 57 43 0 04 Apr 2020
Gradient Centralization: A New Optimization Technique for Deep Neural Networks Hongwei Yong Jianqiang Huang Xiansheng Hua Lei Zhang ODL 100 188 0 03 Apr 2020
Sequential Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 68 33 0 03 Apr 2020
Guided Variational Autoencoder for Disentanglement Learning Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Zhuowen Tu DRL CoGe 63 109 0 02 Apr 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 87 159 0 02 Apr 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen Chunyan Miao Hanwang Zhang VLM CLL 102 83 0 02 Apr 2020
Scene-Adaptive Video Frame Interpolation via Meta-Learning Myungsub Choi Janghoon Choi Sungyong Baik Tae Hyun Kim Kyoung Mu Lee 93 46 0 02 Apr 2020
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition Luming Tang Davis Wertheimer B. Hariharan 77 50 0 01 Apr 2020
Learning to Select Base Classes for Few-shot Classification Linjun Zhou Peng Cui Xu Jia Shiqiang Yang Q. Tian 94 26 0 01 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 72 39 0 01 Apr 2020
Revisiting Few-shot Activity Detection with Class Similarity Control Huijuan Xu Ximeng Sun Eric Tzeng Abir Das Kate Saenko Trevor Darrell 98 9 0 31 Mar 2020