Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 991 papers shown

Title
Towards Exact Computation of Inductive Bias Akhilan Boopathy William Yue Jaedong Hwang Abhiram Iyer Ila Fiete 36 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 32 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 71 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 34 0 0 10 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 44 0 0 01 Jun 2024
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 61 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 44 6 0 24 May 2024
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation Jiayi Chen Rong Quan Jie Qin 42 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 37 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 56 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 48 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 45 2 0 29 Apr 2024
One-Shot Image Restoration Deborah Pereg SupR 29 1 0 26 Apr 2024
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition Haojie Zhang Yimeng Zhuang 43 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 36 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
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 45 0 0 11 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
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 34 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 33 6 0 03 Apr 2024
Advancing Extrapolative Predictions of Material Properties through Learning to Learn Kohei Noda Araki Wakiuchi Yoshihiro Hayashi Ryo Yoshida AI4CE 40 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 29 3 0 19 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 34 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 52 31 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 47 2 0 22 Feb 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 46 15 0 22 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 42 1 0 13 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 30 9 0 07 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang Yifan Zhu Xiao-Shan Gao AAML 23 6 0 06 Feb 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 39 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 X. Ning CLL VLM 36 3 0 26 Jan 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition Tu Nguyen Nedim Srndic Alexander Neth AAML 37 3 0 18 Jan 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 29 0 0 10 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 30 5 0 09 Jan 2024
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space Padmaksha Roy Tyler Cody Himanshu Singhal Kevin Choi Ming Jin OOD 26 1 0 28 Dec 2023
Exploring intra-task relations to improve meta-learning algorithms P. Agarwal Shreya Singh OOD 25 1 0 27 Dec 2023
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection Hefei Mei Taijin Zhao Shiyuan Tang Heqian Qiu Lanxiao Wang Minjian Zhang Fanman Meng Hongliang Li ObjD 27 1 0 27 Dec 2023
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation Haoran Fan Qi Fan M. Pagnucco Yang Song 16 3 0 08 Dec 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation Yuan Wang Naisong Luo Tianzhu Zhang 36 11 0 29 Nov 2023
CUCL: Codebook for Unsupervised Continual Learning Chen Cheng Jingkuan Song Xiaosu Zhu Junchen Zhu Lianli Gao H. Shen CLL 25 2 0 25 Nov 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin Zhifeng Shen Jia-Li Yin Qipeng Liu Yuanlong Yu Weijie Chen CVBM 26 4 0 23 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 24 2 0 09 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 38 7 0 08 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 45 5 0 01 Nov 2023
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction Shiao Meng Xuming Hu Aiwei Liu Shuang Li Fukun Ma Yawen Yang Lijie Wen 35 7 0 24 Oct 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition Megha Thukral H. Haresamudram Thomas Ploetz 31 4 0 22 Oct 2023