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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
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution Zhenyi Wang Li Shen Le Fang Qiuling Suo Tiehang Duan Mingchen Gao OOD 94 43 0 15 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 91 0 0 14 Jul 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation Hao Fei Siteng Huang Wenbin Li Donglin Wang VLM 74 34 0 14 Jul 2022
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning Johannes Jakubik Benedikt Blumenstiel Michael Vossing Patrick Hemmer 44 2 0 14 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 103 6 0 14 Jul 2022
Compound Prototype Matching for Few-shot Action Recognition Yifei Huang Lijin Yang Yoichi Sato 132 44 0 12 Jul 2022
Transferability-Guided Cross-Domain Cross-Task Transfer Learning Yang Tan Enming Zhang Yang Li Shao-Lun Huang Xiaoping Zhang OT 116 12 0 12 Jul 2022
MetaAge: Meta-Learning Personalized Age Estimators Wanhua Li Jiwen Lu Abudukelimu Wuerkaixi Jianjiang Feng Jie Zhou 73 11 0 12 Jul 2022
Continual Few-Shot Learning with Adversarial Class Storage Kun Wu Chengxiang Yin Jian Tang Zhiyuan Xu Yanzhi Wang Dejun Yang BDL VLM CLL 44 1 0 10 Jul 2022
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning Guodong Liu Tongling Wang Shuoxi Zhang Kun He 106 1 0 09 Jul 2022
Improved Binary Forward Exploration: Learning Rate Scheduling Method for Stochastic Optimization Xin Cao ODL 11 0 0 09 Jul 2022
Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space Amine Ouasfi A. Boukhayma 3DPC 103 21 0 09 Jul 2022
On the Subspace Structure of Gradient-Based Meta-Learning Gustaf Tegnér Alfredo Reichlin Hang Yin Mårten Björkman Danica Kragic 89 0 0 08 Jul 2022
Few-Example Clustering via Contrastive Learning M-U Jang Sae-Young Chung 38 0 0 08 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 99 63 0 08 Jul 2022
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners Davis Wertheimer Luming Tang Bharath Hariharan 140 0 0 07 Jul 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 148 12 0 06 Jul 2022
BFE and AdaBFE: A New Approach in Learning Rate Automation for Stochastic Optimization Xin Cao ODL 12 1 0 06 Jul 2022
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments P. JishnuJaykumar Yu-Wei Chao Yu Xiang 70 11 0 06 Jul 2022
PAC Prediction Sets for Meta-Learning Sangdon Park Yan Sun Insup Lee Osbert Bastani 96 16 0 06 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan Salman Khan Fahad Shahbaz Khan M. Shah 117 51 0 05 Jul 2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets Paul Albert Eric Arazo Noel E. O'Connor Kevin McGuinness 63 8 0 04 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 81 47 0 04 Jul 2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning Jiahui Wang H. Zhu Haoren Guo Abdullah Al Mamun V. Prahlad T. Lee 3DPC 71 5 0 04 Jul 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan Xuelong Li Xiaowei Xu Kwang-Ting Cheng 76 6 0 03 Jul 2022
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning Jinze Li Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Shaoyun Xu Tao Bai VLM CLL 82 2 0 03 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 121 34 0 02 Jul 2022
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images Nanqing Dong Michael C. Kampffmeyer Irina Voiculescu OOD 63 7 0 30 Jun 2022
Customized Conversational Recommender Systems Shuokai Li Yongchun Zhu Ruobing Xie Zhenwei Tang Zhao Zhang Fuzhen Zhuang Qing He Hui Xiong HAI 68 2 0 30 Jun 2022
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu Yulei Niu Chunyan Miao Xiansheng Hua Hanwang Zhang 143 18 0 29 Jun 2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting Byeonggeun Kim Seunghan Yang Inseop Chung Simyung Chang 63 14 0 28 Jun 2022
Prompting Decision Transformer for Few-Shot Policy Generalization Mengdi Xu Songlin Yang Shun Zhang Yuchen Lu Ding Zhao J. Tenenbaum Chuang Gan OffRL 90 150 0 27 Jun 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning Lisha Chen Songtao Lu Tianyi Chen MLT 78 15 0 27 Jun 2022
p-Meta: Towards On-device Deep Model Adaptation Zhongnan Qu Zimu Zhou Yongxin Tong Lothar Thiele 75 13 0 25 Jun 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 103 51 0 23 Jun 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang Yi-Zhu Dai Ji Xin Ming Li Jimmy J. Lin 72 5 0 23 Jun 2022
KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences Xuanhan Wang Lianli Gao Yixuan Zhou Jingkuan Song Ming Wang 3DH 145 15 0 21 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification Massimiliano Patacchiola J. Bronskill Aliaksandra Shysheya Katja Hofmann Sebastian Nowozin Richard Turner VLM 72 10 0 20 Jun 2022
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation Ehtesham Iqbal Sirojbek Safarov Seongdeok Bang 52 36 0 20 Jun 2022
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space Tomoharu Iwata Atsutoshi Kumagai OODD 44 2 0 20 Jun 2022
$C^$ -algebra Net: A New Approach Generalizing Neural Network Parameters to $C^$ -algebra Yuka Hashimoto Zhao Wang Tomoko Matsui 46 8 0 20 Jun 2022
Model-Agnostic Few-Shot Open-Set Recognition Malik Boudiaf Etienne Bennequin Myriam Tami C´eline Hudelot Antoine Toubhans Pablo Piantanida Ismail Ben Ayed BDL 107 1 0 18 Jun 2022
EEML: Ensemble Embedded Meta-learning Geng Li Boyuan Ren Hongzhi Wang FedML 48 2 0 18 Jun 2022
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks Tejas Srinivasan Ting-Yun Chang Leticia Pinto-Alva Georgios Chochlakis Mohammad Rostami Jesse Thomason VLM CLL 103 76 0 18 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 95 28 0 17 Jun 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification Xueliang Wang Jianyu Cai Shuiwang Ji Houqiang Li Feng Wu Jie Wang 46 0 0 16 Jun 2022
Channel Importance Matters in Few-Shot Image Classification Xu Luo Jing Xu Zenglin Xu VLM 90 42 0 16 Jun 2022
Domain Generalization via Selective Consistency Regularization for Time Series Classification Wenyu Zhang Mohamed Ragab Chuan-Sheng Foo OOD AI4TS 116 2 0 16 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 79 12 0 15 Jun 2022
Self-Supervised Implicit Attention: Guided Attention by The Model Itself Jinyi Wu Xun Gong Zhemin Zhang 53 1 0 15 Jun 2022