Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,267 papers shown

Title
Better Few-Shot Relation Extraction with Label Prompt Dropout Peiyuan Zhang Wei Lu VLM 26 24 0 25 Oct 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 42 4 0 24 Oct 2022
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization K. Pham Hung Le Man Ngo T. Tran OODD 33 1 0 23 Oct 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders Ömer Sümer Fabio Hellmann Alexander Hustinx Tzung-Chien Hsieh Elisabeth André P. Krawitz CVBM 22 7 0 23 Oct 2022
Deep domain adaptation for polyphonic melody extraction Kavya Ranjan Saxena Vipul Arora 37 0 0 22 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks Arijit Sehanobish Kawshik Kannan Nabila Abraham Anasuya Das Benjamin Odry VLM 33 0 0 22 Oct 2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning Yanjun Qi Han Sun Ningzhong Liu Huiyu Zhou 34 8 0 22 Oct 2022
CEFR-Based Sentence Difficulty Annotation and Assessment Yuki Arase Satoru Uchida Tomoyuki Kajiwara 35 22 0 21 Oct 2022
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition Shan Lu Xuecheng Xu Li Tang R. Xiong Yue Wang 3DPC 27 6 0 20 Oct 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 34 7 0 18 Oct 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition Rongxiang Weng Chengcheng Han Chengyu Wang Chuanqi Tan Minghui Qiu Songfang Huang Jun Huang Ming Gao 34 21 0 17 Oct 2022
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers Gaurav Kumar Nayak Ruchit Rawal Anirban Chakraborty 19 3 0 17 Oct 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs Ruijie Wang Zheng Li Dachun Sun Shengzhong Liu Jinning Li Bing Yin Tarek Abdelzaher OffRL 28 41 0 16 Oct 2022
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 37 0 0 14 Oct 2022
Visual Classification via Description from Large Language Models Sachit Menon Carl Vondrick VLM 38 291 0 13 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets Anurag Roy David Johnson Ekka Saptarshi Ghosh Abir Das 23 1 0 13 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 19 1 0 12 Oct 2022
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors Karim Guirguis Mohamed Abdelsamad George Eskandar Ahmed Hendawy Matthias Kayser B. Yang Jürgen Beyerer ObjD 35 2 0 11 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection Shizhen Zhao Xiaojuan Qi 3DPC 53 17 0 11 Oct 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Zou Chelsea Finn Jimeng Sun 31 4 0 11 Oct 2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training Adrian Bulat Ricardo Guerrero Brais Martínez Georgios Tzimiropoulos 44 30 0 10 Oct 2022
Multi-Modal Fusion by Meta-Initialization Matthew Jackson Shreshth A. Malik Michael T. Matthews Yousuf Mohamed-Ahmed 41 0 0 10 Oct 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection Fei Zhao Yuchen Shen Zhanghua Wu Xinyu Dai 41 11 0 09 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong Zhixiang Chi Li Gu Yang Wang Yuanhao Yu Jingshan Tang OOD 66 30 0 08 Oct 2022
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules Kazuki Irie Jürgen Schmidhuber 37 5 0 07 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 34 3 0 05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 44 9 0 05 Oct 2022
Predictive Event Segmentation and Representation with Neural Networks: A Self-Supervised Model Assessed by Psychological Experiments Hamit Basgol I. Ayhan Emre Ugur 58 1 0 04 Oct 2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment Zican Zha Hao Tang Yunlian Sun Jinhui Tang 57 75 0 04 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou Chong You Xiao Li Kangning Liu Sheng Liu Qing Qu Zhihui Zhu 41 60 0 04 Oct 2022
On Stability and Generalization of Bilevel Optimization Problem Meng Ding Ming Lei Yunwen Lei Di Wang Jinhui Xu 32 1 0 03 Oct 2022
Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement Hongsheng Wang Xiaoqi Zhao Youwei Pang Jinqing Qi VLM 36 2 0 03 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 33 2 0 03 Oct 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022 Liming Gu Zhixiang Chi Huan Liu Yuanhao Yu Yang Wang 33 6 0 01 Oct 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning Xiu-Shen Wei Hesheng Xu Faen Zhang Yuxin Peng Wei Zhou 40 14 0 28 Sep 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 34 7 0 27 Sep 2022
Collaboration of Pre-trained Models Makes Better Few-shot Learner Renrui Zhang Bohao Li Wei Zhang Hao Dong Hongsheng Li Peng Gao Yu Qiao VLM 65 7 0 25 Sep 2022
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping Jiageng Zhu Hanchen Xie Wael AbdAlmageed SSL CoGe DRL 35 4 0 21 Sep 2022
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition Anqi Zhu Qiuhong Ke Mingming Gong James Bailey 56 21 0 21 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 39 1 0 20 Sep 2022
A Closer Look at Novel Class Discovery from the Labeled Set Ziyun Li Jona Otholt Ben Dai Diane Hu Christoph Meinel Haojin Yang BDL 23 12 0 19 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 37 9 0 18 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 35 15 0 18 Sep 2022
Classical Sequence Match is a Competitive Few-Shot One-Class Learner Mengting Hu H. Gao Yinhao Bai Mingming Liu 8 0 0 14 Sep 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification Tianyi Lei Honghui Hu Qiaoyang Luo Dezhong Peng Xu Wang 28 12 0 10 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 23 6 0 07 Sep 2022
Data-Driven Target Localization Using Adaptive Radar Processing and Convolutional Neural Networks Shyam Venkatasubramanian S. Gogineni Bosung Kang Ali Pezeshki M. Rangaswamy Vahid Tarokh 46 3 0 07 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 26 0 0 03 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 85 24 0 01 Sep 2022