Meta-Learning for Semi-Supervised Few-Shot Classification

2 March 2018

Papers citing "Meta-Learning for Semi-Supervised Few-Shot Classification"

21 / 21 papers shown

Title
Transductive One-Shot Learning Meet Subspace Decomposition Kyle Stein A. Mahyari Guillermo Francia III Eman El-Sheikh VLM 75 1 0 01 Apr 2025
Preserving clusters and correlations: a dimensionality reduction method for exceptionally high global structure preservation Jacob Gildenblat Jens Pahnke 287 1 0 10 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 212 4 0 10 Mar 2025
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 69 0 0 24 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 112 3 0 17 Jan 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 110 0 0 21 Dec 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 78 6 0 29 Oct 2024
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning Eric Li Yifan Zhang Yu Huang Kevin Leach 49 0 0 20 Sep 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 86 1 0 18 Apr 2024
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 66 13 0 15 Mar 2023
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 55 3 0 14 Jul 2022
Learning Algorithms for Active Learning Philip Bachman Alessandro Sordoni Adam Trischler VLM 47 157 0 31 Jul 2017
A Simple Neural Attentive Meta-Learner Nikhil Mishra Mostafa Rohaninejad Xi Chen Pieter Abbeel OOD 44 199 0 11 Jul 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 132 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 720 11,793 0 09 Mar 2017
Using Fast Weights to Attend to the Recent Past Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z Leibo Catalin Ionescu 25 263 0 20 Oct 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 195 7,286 0 13 Jun 2016
One-shot Learning with Memory-Augmented Neural Networks Adam Santoro Sergey Bartunov M. Botvinick Daan Wierstra Timothy Lillicrap 27 525 0 19 May 2016
Transductive Multi-view Zero-Shot Learning Yanwei Fu Timothy M. Hospedales Tao Xiang S. Gong 58 453 0 19 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 104 149,474 0 22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 544 39,383 0 01 Sep 2014