Iterative label cleaning for transductive and semi-supervised few-shot learning

14 December 2020

Papers citing "Iterative label cleaning for transductive and semi-supervised few-shot learning"

17 / 17 papers shown

Title
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 31 0 0 24 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 84 0 0 21 Dec 2024
A separability-based approach to quantifying generalization: which layer is best? Luciano Dyballa Evan Gerritz Steven W. Zucker OOD 31 3 0 02 May 2024
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Lingyu Si VLM ViT 54 1 0 05 Oct 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 6 0 27 Apr 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 26 10 0 20 Jan 2023
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference Ségolène Martin Malik Boudiaf Émilie Chouzenoux J. Pesquet Ismail Ben Ayed 24 8 0 26 Oct 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 22 15 0 18 Sep 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Shengcai Liao Bo Du Ling Shao 35 3 0 14 Jul 2022
TransBoost: Improving the Best ImageNet Performance using Deep Transduction Omer Belhasin Guy Bar-Shalom Ran El-Yaniv ViT 30 3 0 26 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 343 0 13 May 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 24 22 0 15 Mar 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 30 37 0 24 Jan 2022
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 27 22 0 09 Jun 2021
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 629 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017