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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
CEFR-Based Sentence Difficulty Annotation and Assessment Yuki Arase Satoru Uchida Tomoyuki Kajiwara 71 25 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 68 6 0 20 Oct 2022
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification Mohamed Afham Ranga Rodrigo VLM 142 5 0 20 Oct 2022
LAVA: Label-efficient Visual Learning and Adaptation Islam Nassar Munawar Hayat Ehsan Abbasnejad Hamid Rezatofighi Mehrtash Harandi Gholamreza Haffari VLM 83 1 0 19 Oct 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 105 8 0 18 Oct 2022
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective A. Heydari N. Rezaei Daniel J. McDuff Javier L. Prieto 59 0 0 18 Oct 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition Jiadong Wang Chengcheng Han Chengyu Wang Chuanqi Tan Minghui Qiu Songfang Huang Jun Huang Ming Gao 78 23 0 17 Oct 2022
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers Gaurav Kumar Nayak Ruchit Rawal Anirban Chakraborty 124 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 83 44 0 16 Oct 2022
Prediction Calibration for Generalized Few-shot Semantic Segmentation Zhihe Lu Sen He Da Li Yi-Zhe Song Tao Xiang ViT 71 26 0 15 Oct 2022
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 56 0 0 14 Oct 2022
Visual Classification via Description from Large Language Models Sachit Menon Carl Vondrick VLM 103 303 0 13 Oct 2022
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference R. Khabibullin S. Seleznev 59 1 0 13 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets Anurag Roy David Johnson Ekka Saptarshi Ghosh Abir Das 51 1 0 13 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 72 48 0 12 Oct 2022
Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning Jonathan Scott Michelle Yeo Christoph H. Lampert FedML 130 0 0 12 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 78 1 0 12 Oct 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning Ojas Kishorkumar Shirekar Ashutosh Kumar Singh Hadi Jamali Rad 82 6 0 12 Oct 2022
Semantic Cross Attention for Few-shot Learning Bin Xiao Chien Liu W. Hsaio 66 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 92 2 0 11 Oct 2022
Improving Sample Efficiency of Deep Learning Models in Electricity Market G. Ruan Jianxiao Wang H. Zhong Q. Xia C. Kang 27 6 0 11 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection Shizhen Zhao Xiaojuan Qi 3DPC 96 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 67 4 0 11 Oct 2022
Stock Trading Volume Prediction with Dual-Process Meta-Learning Ruibo Chen Wei Li Zhiyuan Zhang Ruihan Bao Keiko Harimoto Xu Sun AIFin AI4TS 32 3 0 11 Oct 2022
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning Linhai Zhuo Yu Fu Jingjing Chen Yixin Cao Yu-Gang Jiang 125 17 0 11 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 77 16 0 11 Oct 2022
Meta-Learning with Self-Improving Momentum Target Jihoon Tack Jongjin Park Hankook Lee Jaeho Lee Jinwoo Shin LRM 126 12 0 11 Oct 2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training Adrian Bulat Ricardo Guerrero Brais Martínez Georgios Tzimiropoulos 96 31 0 10 Oct 2022
Multi-Modal Fusion by Meta-Initialization Matthew Jackson Shreshth A. Malik Michael T. Matthews Yousuf Mohamed-Ahmed 79 0 0 10 Oct 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation Yixiong Zou Shanghang Zhang Yuhua Li Rui Li CLL 59 66 0 10 Oct 2022
A Memory Transformer Network for Incremental Learning Ahmet Iscen Thomas Bird Mathilde Caron Alireza Fathi Cordelia Schmid CLL 162 14 0 10 Oct 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection Fei Zhao Yuchen Shen Zhanghua Wu Xinyu Dai 93 11 0 09 Oct 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport D. Guo Longlong Tian He Zhao Mingyuan Zhou H. Zha OODD 74 20 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 145 34 0 08 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models Omiros Pantazis Gabriel J. Brostow Kate E. Jones Oisin Mac Aodha VLM 82 42 0 07 Oct 2022
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules Kazuki Irie Jürgen Schmidhuber 87 5 0 07 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 85 3 0 07 Oct 2022
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction Sangwoo Park K. Cohen Osvaldo Simeone 106 15 0 06 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 60 2 0 06 Oct 2022
Topological Continual Learning with Wasserstein Distance and Barycenter Tananun Songdechakraiwut Xiaoshuang Yin B. V. Veen CLL 28 0 0 06 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 75 3 0 05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 95 9 0 05 Oct 2022
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation Rong Li Anh-Quan Cao Raoul de Charette 3DV 3DPC 200 15 0 04 Oct 2022
Predictive Event Segmentation and Representation with Neural Networks: A Self-Supervised Model Assessed by Psychological Experiments Hamit Basgol I. Ayhan Emre Ugur 82 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 100 78 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 76 65 0 04 Oct 2022
On Stability and Generalization of Bilevel Optimization Problem Meng Ding Ming Lei Yunwen Lei Di Wang Jinhui Xu 92 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 75 2 0 03 Oct 2022
Meta-Learning Priors for Safe Bayesian Optimization Jonas Rothfuss Christopher Koenig Alisa Rupenyan Andreas Krause 84 30 0 03 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 76 2 0 03 Oct 2022