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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
An Adaptive Plug-and-Play Network for Few-Shot Learning Hao Li Li Li Yun-Ya Huang Ning Li Yongtao Zhang 78 3 0 18 Feb 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning Dahuin Jung Dongjin Lee Sunwon Hong Hyemi Jang Ho Bae Sungroh Yoon CLL 62 15 0 17 Feb 2023
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning Guoqiang Liang Zhaojie Chen Zhaoqiang Chen Shiyu Ji Yanning Zhang CLL 83 11 0 16 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 79 35 0 16 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Shafiq Joty VLM LRM 91 15 0 16 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition Chengcheng Han Renyu Zhu Jun Kuang Feng-Xiang Chen Xiang Li Ming Gao Xuezhi Cao Wei Wu 62 6 0 14 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 39 7 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 99 8 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 82 0 0 08 Feb 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models Changan Niu Chuanyi Li Vincent Ng Bin Luo ELM ALM 103 9 0 08 Feb 2023
Gestalt-Guided Image Understanding for Few-Shot Learning Kun Song Yuchen Wu Jiansheng Chen Tianyu Hu Huimin Ma 67 0 0 08 Feb 2023
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs Y. Duan Zhongfan Jia Qian Li Yi Zhong Kaisheng Ma AAML 93 2 0 07 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Yibo Yang Haobo Yuan Hefei Ling Zhouchen Lin Philip Torr Dacheng Tao CLL 111 107 0 06 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text Classification Chengcheng Han Yuh-Shyang Wang Yingnan Fu Xiang Li Minghui Qiu Ming Gao Aoying Zhou VLM 72 5 0 05 Feb 2023
Continual Learning with Scaled Gradient Projection Gobinda Saha Kaushik Roy CLL 99 30 0 02 Feb 2023
Adaptive Siamese Tracking with a Compact Latent Network Xingping Dong Jianbing Shen Fatih Porikli Jiebo Luo Ling Shao 92 30 0 02 Feb 2023
No One Left Behind: Real-World Federated Class-Incremental Learning Jiahua Dong Hongliu Li Yang Cong Gan Sun Yulun Zhang Dengxin Dai FedML CLL 109 45 0 02 Feb 2023
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment Hao Liu Wilson Yan Pieter Abbeel 99 25 0 02 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection Daouda Sow Sen Lin Yitao Liang Junshan Zhang OOD 95 1 0 02 Feb 2023
Towards Label-Efficient Incremental Learning: A Survey Mert Kilickaya Joost van de Weijer Yuki M. Asano CLL 92 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 76 9 0 01 Feb 2023
Few-Shot Object Detection via Variational Feature Aggregation Jiaming Han Yuqiang Ren Jian Ding Ke Yan Guisong Xia 98 70 0 31 Jan 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 78 6 0 30 Jan 2023
Language-Driven Anchors for Zero-Shot Adversarial Robustness Xiao-Li Li Wei Emma Zhang Yining Liu Zhan Hu Bo Zhang Xiaolin Hu 110 9 0 30 Jan 2023
Robust Meta Learning for Image based tasks Peng-Tao Jiang Xin Ke Zifeng Wang Chunxi Li OOD UQCV VLM 222 0 0 30 Jan 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 86 52 0 28 Jan 2023
Restricted Orthogonal Gradient Projection for Continual Learning Zeyuan Yang Zonghan Yang Peng Li Yang Liu CLL 78 4 0 28 Jan 2023
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics Lu Zhang Huaiqian You T. Gao Mo Yu Chung-Hao Lee Yue Yu AI4CE 82 9 0 28 Jan 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 58 18 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 115 2 0 26 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization Peng-Tao Jiang Ke Xin Zifeng Wang Chunxi Li OOD OODD 50 2 0 26 Jan 2023
Explore the Power of Dropout on Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 95 0 0 26 Jan 2023
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning Yawen Cui Wanxia Deng Haoyu Chen Li Liu CLL 63 25 0 24 Jan 2023
Efficient Training Under Limited Resources Mahdi Zolnouri Dounia Lakhmiri C. Tribes Eyyub Sari Sébastien Le Digabel 20 1 0 23 Jan 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 125 10 0 20 Jan 2023
Screen Correspondence: Mapping Interchangeable Elements between UIs Jason Wu Amanda Swearngin Xiaoyi Zhang Jeffrey Nichols Jeffrey P. Bigham 75 7 0 20 Jan 2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network Huafeng Liu Pai Peng Tao Chen Qiong Wang Yazhou Yao Xiansheng Hua 76 53 0 19 Jan 2023
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition Jiazheng Xing Mengmeng Wang Yong-Jin Liu B. Mu ViT 80 36 0 19 Jan 2023
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning Shuzhen Rao Jun Huang Zengming Tang 93 2 0 19 Jan 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 85 0 0 19 Jan 2023
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach Yassir Bendou Lucas Drumetz Vincent Gripon G. Lioi Bastien Pasdeloup 87 1 0 16 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin Samuel Yu Zhiyi Kuang Deepak Pathak Deva Ramana VLM 152 116 0 16 Jan 2023
Neuro-symbolic Meta Reinforcement Learning for Trading S. Harini Gautam M. Shroff A. Srinivasan Prayushi Faldu Lovekesh Vig AIFin 76 3 0 15 Jan 2023
Latent Spectral Regularization for Continual Learning Emanuele Frascaroli Riccardo Benaglia Matteo Boschini Luca Moschella Cosimo Fiorini Emanuele Rodolà Simone Calderara BDL CLL 77 3 0 09 Jan 2023
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Zhe Zuo Changxin Gao Rong Jin Nong Sang 103 26 0 09 Jan 2023
Optimistic Meta-Gradients Sebastian Flennerhag Tom Zahavy Brendan O'Donoghue Hado van Hasselt András Gyorgy Satinder Singh 93 3 0 09 Jan 2023
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network Jie Liu Yanqi Bao Wenzhe Yin Haochen Wang Yang Gao Jan-Jakob Sonke E. Gavves 80 5 0 09 Jan 2023
Few-shot Node Classification with Extremely Weak Supervision Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 81 20 0 06 Jan 2023
High-level semantic feature matters few-shot unsupervised domain adaptation Lei Yu Wanqi Yang Sheng Huang Lei Wang Ming Yang 66 3 0 05 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 80 3 0 04 Jan 2023