Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,279 papers shown

Title
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation Hyeongjun Kwon Somi Jeong Sunok Kim Kwanghoon Sohn VLM 37 10 0 09 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 55 56 0 08 Nov 2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Junying Huang Fan Chen Keze Wang Liang Lin Dongyu Zhang 33 8 0 08 Nov 2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation Fenglin Liu Chenyu You Xian Wu Shen Ge Sheng Wang Xu Sun MedIm 81 92 0 08 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 39 35 0 08 Nov 2021
A Relational Model for One-Shot Classification Arturs Polis Alexander Ilin BDL VLM 29 1 0 08 Nov 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 196 387 0 06 Nov 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks Jiaji Huang Qiang Qiu Kenneth Church 31 4 0 05 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups A. Wainakh Ephraim Zimmer Sandeep Subedi Jens Keim Tim Grube Shankar Karuppayah Alejandro Sánchez Guinea Max Mühlhäuser 27 9 0 05 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Trapit Bansal K. Gunasekaran Tong Wang Tsendsuren Munkhdalai Andrew McCallum SSL OOD 53 19 0 02 Nov 2021
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Miao Zhang Miaojing Shi Li Li VLM 58 20 0 30 Oct 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms Jiaxu Leng Taiyue Chen Gao Xinbo Yongtao Yu Ye Wang Feng Gao Wang Yue ObjD 34 15 0 30 Oct 2021
CvS: Classification via Segmentation For Small Datasets Nooshin Mojab Philip S. Yu J. Hallak Darvin Yi 31 4 0 29 Oct 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition Shuya Ding Zhe Chen Tianyue Zheng Jun Luo 26 112 0 29 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection Gabriel Huang I. Laradji David Vazquez Simon Lacoste-Julien Pau Rodríguez López ObjD 37 79 0 27 Oct 2021
Node-wise Localization of Graph Neural Networks Zemin Liu Yuan Fang Chenghao Liu Guosheng Lin 27 25 0 27 Oct 2021
Dynamic population-based meta-learning for multi-agent communication with natural language Abhinav Gupta Marc Lanctot Angeliki Lazaridou LLMAG 35 20 0 27 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-man Cheung 28 28 0 27 Oct 2021
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding Yin Hua Wen Zhang Yushan Zhu Hongting Zhou Zonggang Yuan Changliang Xu Hua-zeng Chen 30 56 0 27 Oct 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 35 20 0 26 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 18 16 0 26 Oct 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski Przemysław Spurek Maciej Ziȩba 23 19 0 26 Oct 2021
Meta-Learning for Multi-Label Few-Shot Classification Christian Simon Piotr Koniusz Mehrtash Harandi 23 25 0 26 Oct 2021
Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware Jinting Zhu Ju-Seong Jang Amardeep Singh P. Watters S. Çamtepe AAML 24 9 0 26 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 36 1 0 26 Oct 2021
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference Junying Huang Fan Chen Sibo Huang Dongyu Zhang ObjD 24 1 0 26 Oct 2021
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs Michael Penwarden Shandian Zhe A. Narayan Robert M. Kirby PINN AI4CE 38 39 0 26 Oct 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark Zhenxi Zhu Limin Wang Sheng Guo Gangshan Wu 50 32 0 24 Oct 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu-Chiang Frank Wang Siegfried Mercelis Tyler Derr 21 22 0 22 Oct 2021
Personalized Transfer of User Preferences for Cross-domain Recommendation Yongchun Zhu Zhenwei Tang Yudan Liu Fuzhen Zhuang Ruobing Xie Xu-Yao Zhang Leyu Lin Qing He 27 165 0 21 Oct 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 45 2 0 21 Oct 2021
Constrained Mean Shift for Representation Learning Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL 45 0 0 19 Oct 2021
Who calls the shots? Rethinking Few-Shot Learning for Audio Yu Wang Nicholas J. Bryan Justin Salamon M. Cartwright J. P. Bello VLM 29 25 0 18 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 47 37 0 18 Oct 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data H. Cui Dong Wei Kai Ma Shi Gu Yefeng Zheng 27 39 0 18 Oct 2021
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 27 22 0 18 Oct 2021
Controllable Semantic Parsing via Retrieval Augmentation Panupong Pasupat Yuan Zhang Kelvin Guu 132 47 0 16 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 38 11 0 14 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning Afra Feyza Akyürek Ekin Akyürek Derry Wijaya Jacob Andreas CLL 21 59 0 13 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 28 28 0 13 Oct 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty Jeffrey Willette Haebeom Lee Juho Lee Sung Ju Hwang OODD OOD 44 1 0 12 Oct 2021
Across-Task Neural Architecture Search via Meta Learning Jingtao Rong Xinyi Yu Mingyang Zhang L. Ou 27 1 0 12 Oct 2021
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules Rangeet Pan Hridesh Rajan MoMe 16 30 0 11 Oct 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification Mingcheng Hou Issei Sato VLM 31 21 0 11 Oct 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans Ainaz Eftekhar Alexander Sax Roman Bachmann Jitendra Malik Amir Zamir MedIm 33 291 0 11 Oct 2021
Morphable Detector for Object Detection on Demand Xiangyun Zhao Xu Zou Ying Nian Wu ObjD 33 4 0 10 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 32 8 0 09 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye Rui Ye 32 41 0 09 Oct 2021
Active learning for interactive satellite image change detection H. Sahbi Sebastien Deschamps Andrei Stoian 42 6 0 08 Oct 2021
Federated Learning from Small Datasets Michael Kamp Jonas Fischer Jilles Vreeken FedML 32 26 0 07 Oct 2021