Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,265 papers shown

Title
Locally Regularized Sparse Graph by Fast Proximal Gradient Descent Dongfang Sun Yingzhen Yang 25 0 0 25 Sep 2024
Across-Game Engagement Modelling via Few-Shot Learning Kosmas Pinitas Konstantinos Makantasis Georgios N. Yannakakis 36 1 0 19 Sep 2024
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation Kotaro Nagata Hiromu Ono Kazuhiro Hotta CLL 19 0 0 17 Sep 2024
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging Charilaos Papaioannou Emmanouil Benetos Alexandros Potamianos 36 0 0 17 Sep 2024
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 57 1 0 13 Sep 2024
Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang Yibing Zhan Yong Luo Han Hu Wei Yu Yonggang Wen Dacheng Tao CLL 43 2 0 09 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 38 1 0 05 Sep 2024
Joint Neural Networks for One-shot Object Recognition and Detection Camilo Vargas Qianni Zhang E. Izquierdo ObjD VLM 48 0 0 01 Aug 2024
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 48 2 0 21 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 46 0 0 20 Jul 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 80 3 0 20 Jul 2024
CountGD: Multi-Modal Open-World Counting Niki Amini-Naieni Tengda Han Andrew Zisserman ObjD 66 10 0 05 Jul 2024
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 48 0 0 25 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 42 1 0 24 Jun 2024
Towards Exact Computation of Inductive Bias Akhilan Boopathy William Yue Jaedong Hwang Abhiram Iyer Ila Fiete 49 0 0 22 Jun 2024
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation Yong Wu Yang Wang Sanqing Qu Zhijun Li Guang Chen 34 1 0 13 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 82 1 0 12 Jun 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks Victor Boutin Rishav Mukherji Aditya Agrawal Sabine Muzellec Thomas Fel Thomas Serre Rufin VanRullen DiffM 39 0 0 10 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach Georgios Tsoumplekas C. Athanasiadis Dimitrios I. Doukas Antonios C. Chrysopoulos P. Mitkas AI4TS 34 3 0 09 Jun 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task Jie Liu Yao Wu Xiaotong Luo Zongze Wu 41 0 0 09 Jun 2024
OVMR: Open-Vocabulary Recognition with Multi-Modal References Zehong Ma Shiliang Zhang Longhui Wei Qi Tian VLM 46 0 0 07 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 58 1 0 05 Jun 2024
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation Xinyue Chen Miaojing Shi 50 0 0 01 Jun 2024
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 72 0 0 25 May 2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers Lorenzo Tiberi Francesca Mignacco Kazuki Irie H. Sompolinsky 46 6 0 24 May 2024
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation Jiayi Chen Rong Quan Jie Qin 52 1 0 24 May 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization Zexi Li Lingzhi Gao Chao Wu AI4CE DiffM 55 3 0 23 May 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 46 1 0 21 May 2024
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition Hongyu Qu Rui Yan Xiangbo Shu Haoliang Gao Peng Huang Guo-Sen Xie 66 4 0 03 May 2024
UniFS: Universal Few-shot Instance Perception with Point Representations Sheng Jin Ruijie Yao Lumin Xu Wentao Liu Chao Qian Ji Wu Ping Luo 53 2 0 30 Apr 2024
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild Donggyun Kim Seongwoong Cho Semin Kim Chong Luo Seunghoon Hong VLM 50 2 0 29 Apr 2024
One-Shot Image Restoration Deborah Pereg SupR 39 1 0 26 Apr 2024
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition Haojie Zhang Yimeng Zhuang 46 0 0 26 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 55 0 0 25 Apr 2024
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models Parul Gupta Munawar Hayat Abhinav Dhall Thanh-Toan Do DiffM 46 1 0 25 Apr 2024
An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution Tien-Hong Lo Fu-An Chao Tzu-I Wu Yao-Ting Sung Berlin Chen 23 3 0 11 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 56 0 0 11 Apr 2024
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures Ching-Kai Lin Di-Chun Wei Yun-Chien Cheng 42 0 0 09 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 35 6 0 03 Apr 2024
Advancing Extrapolative Predictions of Material Properties through Learning to Learn Kohei Noda Araki Wakiuchi Yoshihiro Hayashi Ryo Yoshida AI4CE 45 0 0 25 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation Jiyi Chen Pengyu Li Yutong Wang Pei-Cheng Ku Qing Qu 35 3 0 19 Mar 2024
Frozen Feature Augmentation for Few-Shot Image Classification Andreas Bär N. Houlsby Mostafa Dehghani Manoj Kumar VLM 39 4 0 15 Mar 2024
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search Yunchuan Zhang Sangwoo Park Osvaldo Simeone 48 5 0 14 Mar 2024
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy Hsin-Ju Lin Tsu-Chun Chung Ching-Chun Hsiao Pin-Yu Chen Wei-Chen Chiu Ching-Chun Huang 27 0 0 12 Mar 2024
Neural Additive Image Model: Interpretation through Interpolation Arik Reuter Anton Thielmann Benjamin Saefken DiffM 41 1 0 06 Mar 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 54 32 0 27 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 50 2 0 22 Feb 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 49 15 0 22 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 48 1 0 13 Feb 2024