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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
One-Class Domain Adaptation via Meta-Learning Stephanie Holly T. Bierweiler Stefan von Dosky Ahmed Frikha C. Heitzinger Jana Eder 177 0 0 22 Jan 2025
NL2KQL: From Natural Language to Kusto Query Amir H. Abdi Xinye Tang Jeremias Eichelbaum Mahan Das Alex Klein ... William Blum Daniel L Mace Tanvi Raja Namrata Padmanabhan Ye Xing 154 2 0 20 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 176 5 0 17 Jan 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning Parinita Nema V. Kurmi CLL 150 0 0 17 Jan 2025
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification Aisha Zulfiqar Ebroul Izquiedro 87 0 0 12 Jan 2025
Real-world actor-based image steganalysis via classifier inconsistency detection Daniel Lerch-Hostalot David Megías 102 6 0 08 Jan 2025
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network Haosheng Zhang Hao Huang 123 0 0 06 Jan 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data Chao Liang Linchao Zhu Zongxin Yang Wei Chen Yi Yang NoLa 104 0 0 05 Jan 2025
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Arnav M. Das Gantavya Bhatt Lilly Kumari Sahil Verma J. Bilmes 94 0 0 23 Dec 2024
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 188 0 0 21 Dec 2024
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning Bharadwaj Ravichandran Alexander Lynch S. Brockman Brandon RichardWebster Dawei Du A. Hoogs Christopher Funk ObjD VLM 166 0 0 20 Dec 2024
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning Hongye Xu Jan Wasilewski Bartosz Krawczyk CLL 195 0 0 19 Dec 2024
Data-driven Discovery of Biophysical T Cell Receptor Co-specificity Rules Andrew Pyo Yuta Nagano Martina Milighetti James Henderson Curtis G. Callan Jr. Benny Chain Ned S. Wingreen Andreas Tiffeau-Mayer 166 0 0 18 Dec 2024
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels Shizhuo Deng Bowen Han Jiaqi Chen Hao Wang Dongyue Chen Tong Jia VLM NoLa 151 0 0 17 Dec 2024
Aspect-Based Few-Shot Learning Tim van Engeland Lu Yin Vlado Menkovski 213 0 0 17 Dec 2024
Memory-Reduced Meta-Learning with Guaranteed Convergence Honglin Yang Ji Ma Xiao Yu 126 0 0 16 Dec 2024
SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation Xudong Zhou Wenhao He VLM 82 0 0 15 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 125 0 0 15 Dec 2024
Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images Junno Yun Mehmet Akçakaya 119 0 0 06 Dec 2024
Multi-Level Correlation Network For Few-Shot Image Classification Yunkai Dang Hao Fei Zhengyu Chen Xinliang Zhang Zheng Wang Meijun Sun Donglin Wang 145 2 0 04 Dec 2024
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models Yi Liao Yongsheng Gao Weichuan Zhang 100 0 0 02 Dec 2024
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting Linhai Zhuo Zheng Wang Yuqian Fu Tianwen Qian VLM 175 2 0 01 Dec 2024
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection Ayoub Hammal Benno Uthayasooriyar Caio Corro 114 0 0 30 Nov 2024
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space Lingxiao Li Kaixuan Fan Boqing Gong Xiangyu Yue DiffM 124 0 0 27 Nov 2024
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals Hussni Mohd Zakir Eric Tatt Wei Ho VLM 112 0 0 21 Nov 2024
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review Pablo Moriano Steven C. Hespeler Mingyan Li Maria Mahbub AAML 148 1 0 21 Nov 2024
Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition Hanyu Guo Wanchuan Yu Suzhou Que Kaiwen Du Yan Yan Hanzi Wang 189 1 0 18 Nov 2024
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning Dunwei Tu Huiyu Yi T. Zhang Ruotong Li Furao Shen Jian Zhao 43 0 0 14 Nov 2024
Neuromodulated Meta-Learning Wenwen Qiang Huijie Guo Jingyao Wang Jiangmeng Li Changwen Zheng Hui Xiong Gang Hua 111 0 0 11 Nov 2024
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling Junyi Li Heng Huang 107 1 0 07 Nov 2024
Stepping Forward on the Last Mile Chen Feng Shaojie Zhuo Xiaopeng Zhang R. Ramakrishnan Zhaocong Yuan Andrew Zou Li 137 0 0 06 Nov 2024
Detect an Object At Once without Fine-tuning Junyu Hao Jianheng Liu Yongjia Zhao Zuofan Chen Qi Sun Jinlong Chen Jianguo Wei Minghao Yang ObjD 125 0 0 04 Nov 2024
Robust Neural Processes for Noisy Data Chen Shapira Dan Rosenbaum 115 2 0 03 Nov 2024
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis Xinyu Geng Jiaming Wang Jun Xu MedIm 49 0 0 03 Nov 2024
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning Fei Zhou Peng Wang Lei Zhang Zhaoyu Chen Wei Wei Chen Ding Guosheng Lin Yanning Zhang 112 1 0 03 Nov 2024
Covariance-based Space Regularization for Few-shot Class Incremental Learning Yijie Hu Guanyu Yang Zhaorui Tan Xiaowei Huang K. Huang Qiu-Feng Wang CLL 93 0 0 02 Nov 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction Liang Wang Qiang Liu Shaozhen Liu Xin Sun Shu Wu Liang Wang 103 2 0 02 Nov 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning Yiqin Lv Qi Wang Dong Liang Zheng Xie 121 3 0 30 Oct 2024
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation Jintao Tong Yixiong Zou Yuhua Li Ruixuan Li 96 6 0 29 Oct 2024
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation Zhaochong An Guolei Sun Yun Liu Runjia Li Min Wu Ming-Ming Cheng Ender Konukoglu Serge Belongie 152 8 0 29 Oct 2024
Meta-Learning with Heterogeneous Tasks Zhaofeng Si Shu Hu Kaiyi Ji Siwei Lyu 69 1 0 24 Oct 2024
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation Ruting Chi Zhiyi Huang Yuexing Han ISeg 76 0 0 21 Oct 2024
Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios Jeaung Lee Jeewoo Lim Keunho Byeon Jin Tae Kwak 76 5 0 21 Oct 2024
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer K. Bhaumik Minha Kim Fahim Faisal Niloy A. Ali Simon S. Woo AI4TS 47 0 0 21 Oct 2024
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation Yao Shen Ziwei Wei Chunmeng Liu Shuming Wei Qi Zhao Kaiyang Zeng Guangyao Li VLM 65 0 0 16 Oct 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning Hongduan Tian Feng Liu Zhanke Zhou Tongliang Liu Chengqi Zhang Bo Han VLM 134 1 0 16 Oct 2024
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models Hossein Abdi Mingfei Sun Andi Zhang Samuel Kaski Wei Pan 73 0 0 15 Oct 2024
Neural networks that overcome classic challenges through practice Kazuki Irie Brenden M. Lake 97 6 0 14 Oct 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks Xinyue Liu Yunlong Gao Linlin Zong Bo Xu VLM 77 1 0 14 Oct 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Minyoung Kim Timothy M. Hospedales BDL 125 0 0 14 Oct 2024