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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
SGD with Partial Hessian for Deep Neural Networks Optimization Ying Sun Hongwei Yong Lei Zhang ODL 51 0 0 05 Mar 2024
Few-shot Learner Parameterization by Diffusion Time-steps Zhongqi Yue Pan Zhou Richang Hong Hanwang Zhang Qianru Sun 107 12 0 05 Mar 2024
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning Huali Xu Li Liu Shuaifeng Zhi Shaojing Fu Z. Su Ming-Ming Cheng Yongxiang Liu 96 12 0 04 Mar 2024
Rethinking Few-shot 3D Point Cloud Semantic Segmentation Zhaochong An Guolei Sun Yun Liu Fayao Liu Zongwei Wu Dan Wang Luc Van Gool Serge Belongie 3DPC 109 7 0 01 Mar 2024
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning Yixiong Zou Yicong Liu Yiman Hu Yuhua Li Ruixuan Li 86 7 0 01 Mar 2024
PRSA: Prompt Stealing Attacks against Real-World Prompt Services Yong Yang Changjiang Li Yi Jiang Oubo Ma Haoyu Wang Zonghui Wang Yandong Gao Shouling Ji Shouling Ji SILM AAML 100 2 0 29 Feb 2024
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation Yunwei Bai Ying Kiat Tan Tsuhan Chen 77 0 0 28 Feb 2024
VRP-SAM: SAM with Visual Reference Prompt Yanpeng Sun Jiahui Chen Shan Zhang Xinyu Zhang Qiang Chen Gang Zhang Errui Ding Jingdong Wang Zechao Li 133 39 0 27 Feb 2024
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data David S. W. Williams Daniele De Martini Matthew Gadd Paul Newman UQCV 85 5 0 27 Feb 2024
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation Yu Ming Zihao Wu Jie Yang Danyi Li Yuan Gao Changxin Gao Gui-Song Xia Yuanqing Li Li Liang Jin-Gang Yu 97 0 0 26 Feb 2024
Selective Task offloading for Maximum Inference Accuracy and Energy efficient Real-Time IoT Sensing Systems Abdelkarim Ben Sada Amar Khelloufi Abdenacer Naouri Huansheng Ning Sahraoui Dhelim 43 1 0 24 Feb 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 94 2 0 22 Feb 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 85 18 0 22 Feb 2024
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation Hugo Figueiras Helena Aidos Nuno C. Garcia SSL 32 0 0 21 Feb 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies Xiangyu Liu Chenghao Deng Yanchao Sun Yongyuan Liang Furong Huang AAML 81 6 0 20 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 98 1 0 13 Feb 2024
Interactive singing melody extraction based on active adaptation Kavya Ranjan Saxena Vipul Arora VLM 48 5 0 12 Feb 2024
Distilling Symbolic Priors for Concept Learning into Neural Networks Ioana Marinescu R. Thomas McCoy Thomas Griffiths 75 2 0 10 Feb 2024
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation Nicolás Catalano Alessandro Maranelli Agnese Chiatti Matteo Matteucci 68 1 0 09 Feb 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data Felix Ott Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Jonathan Hansen A. Rügamer Christopher Mutschler 81 9 0 09 Feb 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment Lei Wang Jun Liu Liang Zheng Tom Gedeon Piotr Koniusz 89 12 0 07 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang Yifan Zhu Xiao-Shan Gao AAML 96 6 0 06 Feb 2024
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models Jianyuan Guo Hanting Chen Chengcheng Wang Kai Han Chang Xu Yunhe Wang VLM 69 22 0 06 Feb 2024
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector Yu Fu Yu Wang Yixuan Pan Lian Huai Xingyu Qiu Zeyu Shangguan Tong Liu Yanwei Fu Luc Van Gool Xingqun Jiang 140 21 0 05 Feb 2024
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image H. A. Amirkolaee Miaojing Shi Lianghua He Mark Mulligan 107 2 0 05 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 91 5 0 04 Feb 2024
Few-Shot Class-Incremental Learning with Prior Knowledge Wenhao Jiang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang CLL 69 1 0 02 Feb 2024
Zero-shot Classification using Hyperdimensional Computing Samuele Ruffino G. Karunaratne Michael Hersche Luca Benini Abu Sebastian Abbas Rahimi VLM 72 1 0 30 Jan 2024
Sample Weight Estimation Using Meta-Updates for Online Continual Learning Hamed Hemati Damian Borth 83 0 0 29 Jan 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 99 0 0 29 Jan 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning Songsong Tian Lusi Li Weijun Li Hang Ran Li Li Xin Ning CLL VLM 70 3 0 26 Jan 2024
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks Naeem Paeedeh Mahardhika Pratama M. A. Ma'sum Wolfgang Mayer Zehong Cao Ryszard Kowlczyk 72 12 0 25 Jan 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation Marianne Rakic Hallee E. Wong Jose Javier Gonzalez Ortiz Beth Cimini John Guttag Adrian V. Dalca 89 12 0 24 Jan 2024
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning Maofa Wang Bingchen Yan 87 0 0 24 Jan 2024
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? Cheng Han Qifan Wang Yiming Cui Wenguan Wang Lifu Huang Siyuan Qi Dongfang Liu VLM 157 22 0 23 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space A. Mottaghi Mohammad Abdullah Jamal Serena Yeung Omid Mohareri 76 1 0 23 Jan 2024
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models Reda Bensaid Vincent Gripon Franccois Leduc-Primeau Lukas Mauch G. B. Hacene Fabien Cardinaux VLM 95 7 0 20 Jan 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition Tu Nguyen Nedim Srndic Alexander Neth AAML 86 5 0 18 Jan 2024
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study Alejandro Galán-Cuenca Antonio Javier Gallego Marcelo Saval-Calvo A. Pertusa 59 6 0 18 Jan 2024
Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention Li Guo Haoming Liu Yuxuan Xia Chengyu Zhang Xiaochen Lu 66 0 0 18 Jan 2024
$Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-$\mathrm{M^2}$DF)$ Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP- $\mathrm{M^2}$ DF) Fei-Yu Guo YiKang Wang Han Qi WenPing Jin Li Zhu 85 2 0 16 Jan 2024
Transferring Core Knowledge via Learngenes Fu Feng Jing Wang Xin Geng 106 7 0 16 Jan 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models Mingli Zhu Zihao Zhu Sihong Chen Chen Chen Baoyuan Wu CLL 81 3 0 14 Jan 2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition Hefeng Wu Guangzhi Ye Ziyang Zhou Ling Tian Qing Wang Liang Lin 76 3 0 13 Jan 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 67 0 0 10 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 94 7 0 09 Jan 2024
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning Zitong Huang Ze Chen Zhixing Chen Erjin Zhou Xinxing Xu Rick Siow Mong Goh Yong-Jin Liu Wangmeng Zuo Chun-Mei Feng CLL VLM BDL 112 11 0 03 Jan 2024
Does Few-shot Learning Suffer from Backdoor Attacks? Xinwei Liu Xiaojun Jia Jindong Gu Yuan Xun Siyuan Liang Xiaochun Cao 132 20 0 31 Dec 2023
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space Padmaksha Roy Tyler Cody Himanshu Singhal Kevin Choi Ming Jin OOD 77 1 0 28 Dec 2023
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection H. Sahbi 81 0 0 28 Dec 2023