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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
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 107 1 0 19 Aug 2024
DSReLU: A Novel Dynamic Slope Function for Superior Model Training Archisman Chakraborti B. B. Chaudhuri 45 0 0 17 Aug 2024
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts A. Fayjie Jutika Borah F. Carbone Jan Tack Patrick Vandewalle OOD UQCV 78 2 0 15 Aug 2024
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices Shengyuan Ye Liekang Zeng Xiaowen Chu Guoliang Xing Xu Chen 97 12 0 15 Aug 2024
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class Qian Qiao Yu Xie Shaoyao Huang Fanzhang Li 93 0 0 12 Aug 2024
A Unified Manifold Similarity Measure Enhancing Few-Shot, Transfer, and Reinforcement Learning in Manifold-Distributed Datasets S. W. Qayyumi Laureance F Park O. Obst 44 0 0 12 Aug 2024
Semi-Supervised One-Shot Imitation Learning Philipp Wu Kourosh Hakhamaneshi Yuqing Du Igor Mordatch Aravind Rajeswaran Pieter Abbeel SSL 108 1 0 09 Aug 2024
Learn To Learn More Precisely Runxi Cheng Yongxian Wei Xianglong He Wanyun Zhu Songsong Huang Fei Richard Yu Fei Ma Chun Yuan 85 0 0 08 Aug 2024
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps Yifan Zhu Pranay Thangeda Erica Tevere Ashish Goel Erik Kramer Hari Nayar Melkior Ornik Kris K. Hauser 76 0 0 06 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits Mateusz Ochal Massimiliano Patacchiola Malik Boudiaf Sen Wang 83 0 0 04 Aug 2024
Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen Shilong Dong Kexin Yi Yunzhu Li Mingyu Ding Antonio Torralba Joshua B. Tenenbaum Chuang Gan OCL 126 3 0 02 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection Camilo Vargas Qianni Zhang E. Izquierdo ObjD VLM 138 0 0 01 Aug 2024
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition Congqi Cao Guibiao Liao Yating Yu Kanglin Liu Lingtong Min Yanning Zhang 125 4 0 01 Aug 2024
Small Object Few-shot Segmentation for Vision-based Industrial Inspection Zilong Zhang Chang Niu Yi Lin Jingchi Jiang Xuefeng Chen 88 2 0 31 Jul 2024
Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation Qun Li Baoquan Sun Fu Xiao Yonggang Qi B. Bhanu 91 0 0 27 Jul 2024
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition Pulkit Kumar Namitha Padmanabhan Luke Luo Sai Saketh Rambhatla Abhinav Shrivastava 95 4 0 25 Jul 2024
Improved Few-Shot Image Classification Through Multiple-Choice Questions Dipika Khullar Emmett Goodman Negin Sokhandan 54 0 0 23 Jul 2024
No Re-Train, More Gain: Upgrading Backbones with Diffusion model for Pixel-Wise and Weakly-Supervised Few-Shot Segmentation Shuai Chen Fanman Meng Chenhao Wu Haoran Wei Runtong Zhang Qingbo Wu Linfeng Xu Hongliang Li 82 0 0 23 Jul 2024
MIBench: Evaluating Multimodal Large Language Models over Multiple Images Haowei Liu Xi Zhang Haiyang Xu Yaya Shi Chaoya Jiang ... Ji Zhang Fei Huang Chunfen Yuan Bing Li Weiming Hu VLM 94 15 0 21 Jul 2024
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 101 3 0 21 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yuqi Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 102 4 0 20 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 83 0 0 20 Jul 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 169 4 0 20 Jul 2024
ER-FSL: Experience Replay with Feature Subspace Learning for Online Continual Learning Huiwei Lin CLL 136 0 0 17 Jul 2024
Siamese Transformer Networks for Few-shot Image Classification Weihao Jiang Shuoxi Zhang Kun He ViT 108 0 0 16 Jul 2024
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection Ye Jiang Taihang Wang Xiaoman Xu Yimin Wang Xingyi Song Diana Maynard 94 2 0 16 Jul 2024
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization Yifei Yang Wonjun Lee Dongmian Zou Gilad Lerman 74 2 0 15 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community Yan Liu Bin Guo Nuo Li Yasan Ding Zhouyangzi Zhang Zhiwen Yu 135 1 0 09 Jul 2024
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition Fei-Yu Guo YiKang Wang Han Qi Li Zhu Jing Sun 111 2 0 08 Jul 2024
Learning to Adapt Category Consistent Meta-Feature of CLIP for Few-Shot Classification Jiaying Shi Xuetong Xue Shenghui Xu VLM 143 0 0 08 Jul 2024
An accurate detection is not all you need to combat label noise in web-noisy datasets Paul Albert Jack Valmadre Eric Arazo Tarun Krishna Noel E. O'Connor Kevin McGuinness AAML 77 1 0 08 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning Xiaojie Li Yibo Yang Jianlong Wu Guohao Li Ming-Hsuan Yang Liqiang Nie M. Zhang Mamba 99 6 0 08 Jul 2024
CountGD: Multi-Modal Open-World Counting Niki Amini-Naieni Tengda Han Andrew Zisserman ObjD 161 13 0 05 Jul 2024
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation Wanqi Yang Haoran Wang Lei Wang Ge Song Yang Gao Yang Gao 90 0 0 04 Jul 2024
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection Anay Majee Ryan Sharp Rishabh K. Iyer 103 1 0 02 Jul 2024
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification Shulei Qiu Wanqi Yang Ming Yang 91 0 0 02 Jul 2024
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts Pasquale De Marinis Nicola Fanelli Raffaele Scaringi Emanuele Colonna Giuseppe Fiameni G. Vessio Giovanna Castellano MLLM VLM 72 2 0 02 Jul 2024
Unleash the Power of Local Representations for Few-Shot Classification Shi Tang Guiming Luo Xinchen Ye Zhiyi Xia 64 0 0 02 Jul 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning Bowen Zhang Zhichao Huang Genan Dai Guangning Xu Xiaomao Fan Hu Huang 82 0 0 02 Jul 2024
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 108 1 0 25 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 96 2 0 24 Jun 2024
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data Zexing Xu Linjun Zhang Sitan Yang Rasoul Etesami Hanghang Tong Huan Zhang Jiawei Han AI4TS 78 4 0 23 Jun 2024
Towards Exact Computation of Inductive Bias Akhilan Boopathy William Yue Jaedong Hwang Abhiram Iyer Ila Fiete 96 0 0 22 Jun 2024
Semantic Enhanced Few-shot Object Detection Zheng Wang Yingjie Gao Qingjie Liu Yunhong Wang ObjD 102 4 0 19 Jun 2024
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning Cilin Yan Haochen Wang Xiaolong Jiang Feng-Long Xie Xu Tang Guoliang Kang E. Gavves VLM 79 0 0 17 Jun 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning Tian Liu Huixin Zhang Shubham Parashar Shu Kong 85 2 0 17 Jun 2024
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation Yong Wu Yang Wang Sanqing Qu Zhijun Li Guang Chen 105 1 0 13 Jun 2024
Meta-Learning Neural Procedural Biases Christian Raymond Qi Chen Bing Xue Mengjie Zhan 105 1 0 12 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 186 1 0 12 Jun 2024
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions Alireza Afzal Aghaei 79 51 0 11 Jun 2024