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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
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 103 188 0 22 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Fangqiu Yi ObjD 106 204 0 20 Aug 2021
Few Shot Activity Recognition Using Variational Inference Neeraj Kumar Siddhansh Narang BDL VLM 45 5 0 20 Aug 2021
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators Zihang Meng Vikas Singh Sathya Ravi 51 1 0 19 Aug 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 75 51 0 18 Aug 2021
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing Ghodai M. Abdelrahman Qing Wang KELM AI4Ed 106 52 0 18 Aug 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion Anuj Tambwekar Kshitij Agrawal Anay Majee A. Subramanian ObjD 106 5 0 18 Aug 2021
Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning Jiahao Wang Yunhong Wang Sheng Liu Annan Li 73 17 0 15 Aug 2021
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation Qi Zhao Binghao Liu Shuchang Lyu Yifan Yang VLM 80 17 0 14 Aug 2021
Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models Guanqun Yang Shay Dineen Zhipeng Lin Xueqing Liu AAML 73 15 0 14 Aug 2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation Donghyeon Baek Youngmin Oh Bumsub Ham 141 77 0 14 Aug 2021
Collaborative Unsupervised Visual Representation Learning from Decentralized Data Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang Shuai Yi FedML 116 99 0 14 Aug 2021
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder Hanwen Liang Qiong Zhang Peng Dai Juwei Lu 88 63 0 11 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 143 20 0 11 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 85 17 0 09 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 72 45 0 09 Aug 2021
Knowledge accumulating: The general pattern of learning Zhuoran Xu Hao Liu CLL 74 0 0 09 Aug 2021
One-Shot Object Affordance Detection in the Wild Wei Zhai Hongcheng Luo Jing Zhang Yang Cao Dacheng Tao 140 45 0 08 Aug 2021
Learning to Transfer with von Neumann Conditional Divergence Ammar Shaker Shujian Yu Daniel Oñoro-Rubio OOD DRL 58 1 0 07 Aug 2021
Impact of Aliasing on Generalization in Deep Convolutional Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Rob Romijnders Nicolas Le Roux Ross Goroshin OOD 124 36 0 07 Aug 2021
Generating Personalized Dialogue via Multi-Task Meta-Learning Jing Yang Lee Kong Aik Lee W. Gan 94 14 0 07 Aug 2021
Towards Zero-shot Language Modeling Edoardo Ponti Ivan Vulić Ryan Cotterell Roi Reichart Anna Korhonen 87 19 0 06 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 235 179 0 06 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation Zhonghua Wu Xiangxi Shi Guosheng lin Jianfei Cai VLM 147 109 0 06 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 55 10 0 06 Aug 2021
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach Xi Peng Fengchun Qiao Long Zhao OOD 134 36 0 05 Aug 2021
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning Akash Gupta P. Jonnalagedda B. Bhanu Amit K. Roy-Chowdhury 61 6 0 05 Aug 2021
Boosting Few-shot Semantic Segmentation with Transformers Guolei Sun Yun-Hai Liu Christos Sakaridis Luc Van Gool ViT 63 9 0 04 Aug 2021
Dynamic Relevance Learning for Few-Shot Object Detection Weijie Liu Chong Wang Haohe Li Shenghao Yu Xiaogang Xu ObjD 92 10 0 04 Aug 2021
Human-In-The-Loop Document Layout Analysis Xingjiao Wu Tianlong Ma Xin Li Qin Chen Liangbo He 93 2 0 04 Aug 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 67 14 0 03 Aug 2021
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation Hao Tang Xingwei Liu Shanlin Sun Xiangyi Yan Xiaohui Xie 84 102 0 02 Aug 2021
Boundary Knowledge Translation based Reference Semantic Segmentation Lechao Cheng Zunlei Feng Xinchao Wang Ya Jie Liu Jie Lei Xiuming Zhang 47 5 0 01 Aug 2021
Visual Boundary Knowledge Translation for Foreground Segmentation Zunlei Feng Lechao Cheng Xinchao Wang Xiang Wang Ya Jie Liu Xiangtong Du Xiuming Zhang 55 7 0 01 Aug 2021
Reconstruction guided Meta-learning for Few Shot Open Set Recognition Sayak Nag Dripta S. Raychaudhuri S. Paul Amit K. Roy-Chowdhury 62 8 0 31 Jul 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 60 25 0 29 Jul 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 90 19 0 29 Jul 2021
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers Piper Wolters Logan Sizemore Chris Daw Brian Hutchinson Lauren A. Phillips 87 11 0 28 Jul 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 128 21 0 27 Jul 2021
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification Chengcheng Han Zeqiu Fan Dongxiang Zhang Minghui Qiu Ming Gao Aoying Zhou VLM 54 64 0 26 Jul 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning Shuangjia Zheng Sijie Mai Ya Sun Haifeng Hu Yuedong Yang 76 23 0 26 Jul 2021
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data Yu Fu Yanwei Fu Yu-Gang Jiang 70 67 0 26 Jul 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning Fei Pan Chunlei Xu Jie Guo Yanwen Guo 60 0 0 26 Jul 2021
Temporal Alignment Prediction for Few-Shot Video Classification Fei Pan Chunlei Xu Jie Guo Yanwen Guo AI4TS 41 1 0 26 Jul 2021
Will Multi-modal Data Improves Few-shot Learning? Zilun Zhang Shihao Ma Yichun Zhang 34 2 0 25 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 89 19 0 23 Jul 2021
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift Pinzhuo Tian Yao Gao OOD 51 1 0 23 Jul 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 55 26 0 22 Jul 2021
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery I. Sledge Christopher Toole J. Maestri José C. Príncipe 94 1 0 22 Jul 2021
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings Wenbin Li Xuesong Yang Meihao Kong Lei Wang Jing Huo Yang Gao Jiebo Luo 64 0 0 22 Jul 2021