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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
Generative Latent Implicit Conditional Optimization when Learning from Small Sample Idan Azuri D. Weinshall VLM CLL 40 4 0 31 Mar 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning Ling Yang Liang Li Zilun Zhang Xinyu Zhou Erjin Zhou Yu Liu 104 208 0 31 Mar 2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation Zhibo Fan Jin-Gang Yu Zhihao Liang Jiarong Ou Changxin Gao Guisong Xia Yuanqing Li 97 69 0 31 Mar 2020
Learning to Learn Single Domain Generalization Fengchun Qiao Long Zhao Xi Peng OOD 132 444 0 30 Mar 2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition Suichan Li B. Liu Dongdong Chen Qi Chu Lu Yuan Nenghai Yu 82 30 0 30 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 95 20 0 29 Mar 2020
One-Shot Domain Adaptation For Face Generation Chao Yang Ser-Nam Lim OOD CVBM 79 40 0 28 Mar 2020
One-Shot GAN Generated Fake Face Detection Hadi Mansourifar W. Shi CVBM 142 10 0 27 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng Zhang Mingsheng Long Han Hu 105 323 0 26 Mar 2020
Instance Credibility Inference for Few-Shot Learning Yikai Wang C. Xu Chen Liu Li Zhang Yanwei Fu 80 164 0 26 Mar 2020
On-the-Fly Adaptation of Source Code Models using Meta-Learning Disha Shrivastava Hugo Larochelle Daniel Tarlow TTA 43 6 0 26 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling Jun Yang Fei Wang 33 34 0 25 Mar 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 245 195 0 24 Mar 2020
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images Sharib Ali Binod Bhattarai Tae-Kyun Kim J. Rittscher 85 18 0 23 Mar 2020
NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels Y. Hao Wenbiao Ding Zitao Liu AI4TS NoLa 25 0 0 21 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 201 200 0 21 Mar 2020
Weighted Meta-Learning Diana Cai Rishit Sheth Lester W. Mackey Nicolò Fusi 92 12 0 20 Mar 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 231 24 0 20 Mar 2020
Few-Shot Learning with Geometric Constraints Hong G Jung Seong-Whan Lee 73 49 0 20 Mar 2020
Efficient Deep Representation Learning by Adaptive Latent Space Sampling Yuanhan Mo Shuo Wang Chengliang Dai Rui Zhou Z. Teng Wenjia Bai Yike Guo 38 0 0 19 Mar 2020
Generating new concepts with hybrid neuro-symbolic models Reuben Feinman Brenden M. Lake BDL 128 13 0 19 Mar 2020
Domain-Adaptive Few-Shot Learning An Zhao Mingyu Ding Zhiwu Lu Tao Xiang Yulei Niu Jiechao Guan Ji-Rong Wen Ping Luo 67 70 0 19 Mar 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon Do-Yeon Kim Jun Seo Jaekyun Moon CLL 254 46 0 19 Mar 2020
Semi-supervised few-shot learning for medical image segmentation A. Fayjie Reza Azad M. Pedersoli C. Kauffmann Ismail Ben Ayed Jose Dolz 106 63 0 18 Mar 2020
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients Ya Lu Thomai Stathopoulou Maria F. Vasiloglou Stergios Christodoulidis Z. Stanga Stavroula Mougiakakou 3DH 55 48 0 18 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Ning Ma Jiajun Bu Jieyu Yang Zhen Zhang Chengwei Yao Zhi Yu Sheng Zhou Xifeng Yan 72 5 0 18 Mar 2020
CAFENet: Class-Agnostic Few-Shot Edge Detection Network Younghyun Park Jun Seo Jaekyun Moon 32 1 0 18 Mar 2020
Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification Jun Seo Sung Whan Yoon Jaekyun Moon VLM 24 1 0 18 Mar 2020
Learning Meta Face Recognition in Unseen Domains Jianzhu Guo Xiangyu Zhu Chenxu Zhao Dong Cao Zhen Lei Stan Z. Li CVBM OOD 94 144 0 17 Mar 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD CLL VLM 223 104 0 17 Mar 2020
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis Ruifeng Shi Deming Zhai Xianming Liu Junjun Jiang Wen Gao NoLa 54 7 0 17 Mar 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 227 285 0 16 Mar 2020
Context-Transformer: Tackling Object Confusion for Few-Shot Detection Ze Yang Yali Wang Xianyu Chen Jianzhuang Liu Yu Qiao ViT 130 85 0 16 Mar 2020
Any-Shot Object Detection Shafin Rahman Salman Khan Nick Barnes Fahad Shahbaz Khan ObjD VLM 132 18 0 16 Mar 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez Feng Yu ObjD 257 560 0 16 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection Leonid Karlinsky J. Shtok Amit Alfassy M. Lichtenstein Sivan Harary ... Sivan Doveh P. Sattigeri Rogerio Feris A. Bronstein Raja Giryes 84 6 0 15 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning Chi Zhang Yujun Cai Guosheng Lin Chunhua Shen VLM 99 119 0 15 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification M. Lichtenstein P. Sattigeri Rogerio Feris Raja Giryes Leonid Karlinsky 102 77 0 14 Mar 2020
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification Tiehang Duan Mihir Chauhan Mohammad Abuzar Shaikh Jun Chu S. Srihari 62 19 0 13 Mar 2020
Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction Cuong C. Nguyen Constantine Kreatsoulas K. Branson AI4CE 62 14 0 12 Mar 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning Massimo Caccia Pau Rodríguez López O. Ostapenko Fabrice Normandin Min Lin ... I. Laradji Irina Rish Alexande Lacoste David Vazquez Laurent Charlin CLL KELM 70 66 0 12 Mar 2020
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification Yasuto Yokota Kanata Suzuki Yuzi Kanazawa T. Takebayashi 23 4 0 12 Mar 2020
Incremental Few-Shot Object Detection Juan-Manuel Perez-Rua Xiatian Zhu Timothy M. Hospedales Tao Xiang ObjD CLL 72 218 0 10 Mar 2020
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention Jiyang Xie Dongliang Chang Zhanyu Ma Guoqiang Zhang Jun Guo 68 25 0 10 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 247 347 0 09 Mar 2020
Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data Vincent Roger Jérôme Farinas J. Pinquier 57 24 0 09 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 73 196 0 09 Mar 2020
On the Texture Bias for Few-Shot CNN Segmentation Reza Azad A. Fayjie C. Kauffmann Ismail Ben Ayed M. Pedersoli Jose Dolz SSeg 74 70 0 09 Mar 2020
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach Kanata Suzuki Yasuto Yokota Yuzi Kanazawa T. Takebayashi 34 15 0 08 Mar 2020
Single-View 3D Object Reconstruction from Shape Priors in Memory Shuo Yang Min Xu Haozhe Xie Stuart Perry Huanjin Yao 3DV 187 8 0 08 Mar 2020