Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 991 papers shown

Title
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 35 7 0 17 May 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 19 2 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction Wanli Li T. Qian Yi Song Zeyu Zhang Jiawei Li Zhuang Chen Lixin Zou 65 1 0 03 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 49 15 0 27 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 6 0 27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 23 10 0 26 Apr 2023
Learning Partial Correlation based Deep Visual Representation for Image Classification Saimunur Rahman Piotr Koniusz Lei Wang Luping Zhou Peyman Moghadam Changming Sun SSL 29 9 0 23 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 25 6 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 40 0 0 13 Apr 2023
AGI for Agriculture Guoyu Lu Sheng Li Gengchen Mai Jin Sun Dajiang Zhu ... R. Xu Daniel Petti Changying Li Tianming Liu Changying Li AI4CE 45 17 0 12 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 30 25 0 12 Apr 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning Wenjin Wang Yunqing Hu Qianglong Chen Yin Zhang CLL 32 13 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 51 141 0 11 Apr 2023
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection Changsheng Lu Hao Zhu Piotr Koniusz 48 11 0 06 Apr 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning S. Basu Daniela Massiceti S. Hu S. Feizi VLM 34 28 0 04 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 29 15 0 04 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 24 40 0 03 Apr 2023
Sketch-based Video Object Localization Sangmin Woo So-Yeong Jeon Jinyoung Park Minji Son Sumin Lee Changick Kim 13 0 0 02 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Hongyuan Zhu Bo-Wen Zhang Tao Chen 3DPC 29 15 0 31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Hongyuan Zhu Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients Yilang Zhang Bingcong Li Shi-Ji Gao G. Giannakis BDL 18 9 0 31 Mar 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 23 2 0 29 Mar 2023
CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary Sai Aparna Aketi Gobinda Saha Kaushik Roy CLL 45 3 0 27 Mar 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning Nader Asadi Mohammad Davar Sudhir Mudur Rahaf Aljundi Eugene Belilovsky CLL 34 35 0 26 Mar 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning Hao Chen Linyan Li Fan Lyu Fuyuan Hu Zhenping Xia Fenglei Xu CLL 28 0 0 24 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 Mar 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data Yinsheng He Xingyu Li MedIm 25 2 0 18 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 32 13 0 15 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 29 1 0 13 Mar 2023
Knowledge-augmented Few-shot Visual Relation Detection Tianyu Yu Yongqian Li Jiaoyan Chen Hai-Tao Zheng Haitao Zheng ... Qingbin Liu Wenqiang Liu Dongxiao Huang Bei Wu Yexin Wang 49 6 0 09 Mar 2023
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection Rabiul Awal Roy Ka-Wei Lee Eshaan Tanwar Tanmay Garg Tanmoy Chakraborty 21 26 0 04 Mar 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners Renrui Zhang Xiangfei Hu Bohao Li Siyuan Huang Hanqiu Deng Hongsheng Li Yu Qiao Peng Gao VLM MLLM 38 170 0 03 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 13 31 0 02 Mar 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 40 8 0 23 Feb 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation Moon Ye-Bin D. Choi Y. Kwon Junsik Kim Tae-Hyun Oh ISeg 30 6 0 20 Feb 2023
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition Xiangyu Zhou Qian-ru Wei Yuhui Zhang 25 0 0 19 Feb 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning Hao Li Li Li Yun-Ya Huang Ning Li Yongtao Zhang 29 3 0 18 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 26 32 0 16 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Shafiq R. Joty VLM LRM 23 15 0 16 Feb 2023
SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples Cong Wang Eric Florin Hsing-Yin Chang Jana Thayer Chun Hong Yoon 21 5 0 14 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Li Liu CLL 28 7 0 12 Feb 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios Liangjun Feng Jiancheng Zhao Chunhui Zhao VLM 29 0 0 08 Feb 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models Changan Niu Chuanyi Li Vincent Ng Bin Luo ELM ALM 34 9 0 08 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Yibo Yang Haobo Yuan Hefei Ling Zhouchen Lin Philip H. S. Torr Dacheng Tao CLL 34 96 0 06 Feb 2023
Adaptive Siamese Tracking with a Compact Latent Network Xingping Dong Jianbing Shen Fatih Porikli Jiebo Luo Ling Shao 35 30 0 02 Feb 2023
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment Hao Liu Wilson Yan Pieter Abbeel 26 24 0 02 Feb 2023
Towards Label-Efficient Incremental Learning: A Survey Mert Kilickaya Joost van de Weijer Yuki M. Asano CLL 27 4 0 01 Feb 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation Guanqi Ding Xinzhe Han Shuhui Wang Xin Jin Dandan Tu Qingming Huang 29 9 0 01 Feb 2023