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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
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Trapit Bansal K. Gunasekaran Tong Wang Tsendsuren Munkhdalai Andrew McCallum SSL OOD 101 20 0 02 Nov 2021
Few-shot learning with improved local representations via bias rectify module Chao Dong Qi Ye Wenchao Meng Kaixiang Yang 19 2 0 01 Nov 2021
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization Tomoharu Iwata BDL 57 4 0 01 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima Guangyuan Shi Jiaxin Chen Wenlong Zhang Li-Ming Zhan Xiao-Ming Wu CLL 181 160 0 30 Oct 2021
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Miao Zhang Miaojing Shi Li Li VLM 95 21 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 107 16 0 30 Oct 2021
CvS: Classification via Segmentation For Small Datasets Nooshin Mojab Philip S. Yu J. Hallak Darvin Yi 60 4 0 29 Oct 2021
Domain Agnostic Few-Shot Learning For Document Intelligence J. Mandivarapu Eric Hunch G. Fung OOD VLM 82 1 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 74 112 0 29 Oct 2021
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection Anay Majee A. Subramanian Kshitij Agrawal 107 3 0 28 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 113 80 0 27 Oct 2021
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 77 48 0 27 Oct 2021
Node-wise Localization of Graph Neural Networks Zemin Liu Yuan Fang Chenghao Liu Guosheng Lin 88 25 0 27 Oct 2021
How Important is Importance Sampling for Deep Budgeted Training? Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 127 8 0 27 Oct 2021
Dynamic population-based meta-learning for multi-agent communication with natural language Abhinav Gupta Marc Lanctot Angeliki Lazaridou LLMAG 161 20 0 27 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-Man Cheung 67 29 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 74 58 0 27 Oct 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 100 21 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 60 18 0 26 Oct 2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling Han Liu Feng Zhang Xiaotong Zhang Siyan Zhao Xianchao Zhang 107 19 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 92 19 0 26 Oct 2021
Meta-Learning for Multi-Label Few-Shot Classification Christian Simon Piotr Koniusz Mehrtash Harandi 120 28 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 54 10 0 26 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 78 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 93 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 109 45 0 26 Oct 2021
Decomposed Inductive Procedure Learning Daniel Weitekamp Christopher MacLellan Erik Harpstead Kenneth R. Koedinger 13 0 0 25 Oct 2021
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning Andrei Boiarov K. Khabarlak Igor Yastrebov 156 0 0 25 Oct 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark Zhenxi Zhu Limin Wang Sheng Guo Gangshan Wu 148 32 0 24 Oct 2021
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples Y. Tan Penny Chong Jiamei Sun Ngai-Man Cheung Yuval Elovici Alexander Binder AAML 79 0 0 24 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 57 10 0 23 Oct 2021
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei Zhaowei Zhu Weiran Wang Tongliang Liu Gang Niu Yang Liu NoLa 147 262 0 22 Oct 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu Wang Siegfried Mercelis Hanyu Wang 116 22 0 22 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 79 1 0 22 Oct 2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI Samuel Hess G. Ditzler AAML 89 1 0 22 Oct 2021
Categorizing Items with Short and Noisy Descriptions using Ensembled Transferred Embeddings Y. Hadar E. Shmueli 30 3 0 21 Oct 2021
On Hard Episodes in Meta-Learning S. Basu Amr Sharaf Nicolò Fusi Soheil Feizi 54 1 0 21 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 67 178 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 84 2 0 21 Oct 2021
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks Z. Ge Xin Wang 63 7 0 21 Oct 2021
Few-Shot Temporal Action Localization with Query Adaptive Transformer Sauradip Nag Xiatian Zhu Tao Xiang 73 19 0 20 Oct 2021
Contextual Gradient Scaling for Few-Shot Learning Sang Hyuk Lee Seunghyun Lee B. Song 67 7 0 20 Oct 2021
Constrained Mean Shift for Representation Learning Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL 54 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 130 25 0 18 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 97 37 0 18 Oct 2021
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning Uche M. Osahor Nasser M. Nasrabadi 68 11 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 62 39 0 18 Oct 2021
Learning Prototype-oriented Set Representations for Meta-Learning D. Guo Longlong Tian Minghe Zhang Mingyuan Zhou H. Zha OOD 65 23 0 18 Oct 2021
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 60 22 0 18 Oct 2021
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models Woojeong Jin Yu Cheng Yelong Shen Weizhu Chen Xiang Ren VLM VPVLM MLLM 121 138 0 16 Oct 2021