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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
Few-shot Continual Learning: a Brain-inspired Approach Liyuan Wang Qian Li Yi Zhong Jun Zhu CLL 60 5 0 19 Apr 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 153 7 0 19 Apr 2021
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes O. Sabo Yanai Elazar Yoav Goldberg Ido Dagan 67 41 0 17 Apr 2021
Learning To Count Everything Viresh Ranjan U. Sharma Thua Nguyen Minh Hoai 83 153 0 16 Apr 2021
Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen Jixie Ge Heshen Zhan Siteng Huang Donglin Wang 93 119 0 16 Apr 2021
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment G. Han Shiyuan Huang Jiawei Ma Yicheng He Shih-Fu Chang ObjD 85 169 0 15 Apr 2021
Rehearsal revealed: The limits and merits of revisiting samples in continual learning Eli Verwimp Matthias De Lange Tinne Tuytelaars CLL 62 108 0 15 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 95 7 0 15 Apr 2021
Learning Normal Dynamics in Videos with Meta Prototype Network Hui Lv Chong Chen Zhen Cui Chunyan Xu Yong Li Jian Yang 110 146 0 14 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 119 264 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 81 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 65 54 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 132 39 0 12 Apr 2021
How Sensitive are Meta-Learners to Dataset Imbalance? Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 65 3 0 12 Apr 2021
Reinforced Attention for Few-Shot Learning and Beyond Jie Hong Pengfei Fang Weihao Li Tong Zhang Christian Simon Mehrtash Harandi L. Petersson 68 51 0 09 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 71 52 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 81 16 0 08 Apr 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition Daniela Massiceti L. Zintgraf J. Bronskill Lida Theodorou Matthew Tobias Harris Edward Cutrell C. Morrison Katja Hofmann Simone Stumpf 191 45 0 08 Apr 2021
Few-Shot Action Recognition with Compromised Metric via Optimal Transport Su Lu Han-Jia Ye De-Chuan Zhan 88 18 0 08 Apr 2021
Towards Enabling Meta-Learning from Target Models Su Lu Han-Jia Ye Le Gan De-Chuan Zhan CLL 71 5 0 08 Apr 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images Zhiqiu Lin Deva Ramanan Aayush Bansal LRM 70 5 0 07 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 131 301 0 07 Apr 2021
One-shot learning for solution operators of partial differential equations Priya Kasimbeg Haiyang He Rishikesh Ranade Jay Pathak Lu Lu AI4CE 106 12 0 06 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 80 26 0 06 Apr 2021
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning Boyu Yang Mingbao Lin Binghao Liu Mengying Fu Chang-rui Liu Rongrong Ji QiXiang Ye CLL 60 16 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 104 365 0 05 Apr 2021
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition A. Bhunia S. Ghose Amandeep Kumar Pinaki Nath Chowdhury Aneeshan Sain Yi-Zhe Song 111 31 0 05 Apr 2021
A contrastive rule for meta-learning Nicolas Zucchet Simon Schug J. Oswald Dominic Zhao João Sacramento MLT 118 19 0 04 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 92 296 0 04 Apr 2021
Learning to Filter: Siamese Relation Network for Robust Tracking Shuyang Cheng Bineng Zhong Guorong Li Xin Liu Zhenjun Tang Xianxian Li Jing Wang 92 88 0 02 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 113 4 0 01 Apr 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 78 30 0 01 Apr 2021
Attention, please! A survey of Neural Attention Models in Deep Learning Alana de Santana Correia Esther Luna Colombini HAI 128 198 0 31 Mar 2021
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification Zijian Hu Zhengyu Yang Xuefeng Hu Ram Nevatia 61 145 0 30 Mar 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation Bingfeng Zhang Jimin Xiao Terry Qin 75 166 0 30 Mar 2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection Hanzhe Hu Shuai Bai Aoxue Li J. Cui Liwei Wang ObjD 66 157 0 30 Mar 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 86 28 0 30 Mar 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 105 42 0 29 Mar 2021
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval Aneeshan Sain A. Bhunia Yongxin Yang Tao Xiang Yi-Zhe Song 96 82 0 29 Mar 2021
Mining Latent Classes for Few-shot Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 76 126 0 29 Mar 2021
Meta-Mining Discriminative Samples for Kinship Verification Wanhua Li Shiwei Wang Jiwen Lu Jianjiang Feng Jie Zhou 79 20 0 28 Mar 2021
When Few-Shot Learning Meets Video Object Detection Zhongjie Yu Gaoang Wang Lin Chen S. Raschka Jiebo Luo ObjD 120 1 0 26 Mar 2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning Baoquan Zhang Xutao Li Shanshan Feng Yunming Ye Rui Ye 74 43 0 26 Mar 2021
Few-shot Weakly-Supervised Object Detection via Directional Statistics Amirreza Shaban Amir M. Rahimi Thalaiyasingam Ajanthan Byron Boots Leonid Sigal WSOD 44 5 0 25 Mar 2021
Rethinking Deep Contrastive Learning with Embedding Memory Haozhi Zhang Xun Wang Weilin Huang Matthew R. Scott 53 3 0 25 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 95 88 0 25 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning C. Xu Chen Liu Li Zhang Chengjie Wang Jilin Li Feiyue Huang Xiangyang Xue Yanwei Fu 97 105 0 25 Mar 2021
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation Guoqiang Wei Cuiling Lan Wenjun Zeng Zhibo Chen 79 107 0 25 Mar 2021
A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Richard J. Radke Rogerio Feris SSL 153 115 0 24 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 117 84 0 24 Mar 2021