Laplacian Regularized Few-Shot Learning

28 June 2020

Jose Dolz

Papers citing "Laplacian Regularized Few-Shot Learning"

41 / 41 papers shown

Title
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 86 0 0 21 Dec 2024
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection F. Barbato Umberto Michieli J. Moon Pietro Zanuttigh Mete Ozay 42 2 0 01 Jul 2024
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 48 0 0 25 Jun 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 47 0 0 04 Jul 2023
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement Long Ma Dian Jin Nan An Jinyuan Liu Xin-Yue Fan Risheng Liu 33 48 0 02 Jun 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
Task Adaptive Feature Transformation for One-Shot Learning Imtiaz Masud Ziko Freddy Lecue Ismail Ben Ayed VLM 35 1 0 13 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
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 49 2 0 26 Nov 2022
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
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings Aymane Abdali Vincent Gripon Lucas Drumetz Bartosz Bogusławski 29 1 0 23 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 32 15 0 18 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 19 6 0 07 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 35 39 0 08 Jun 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 16 1 0 30 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 50 344 0 13 May 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 23 35 0 24 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 23 160 0 09 Apr 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 31 22 0 15 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 27 157 0 07 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 38 37 0 24 Jan 2022
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 38 30 0 01 Dec 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 43 35 0 16 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 27 23 0 13 Sep 2021
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification M Saiful Bari Batool Haider Saab Mansour VLM 11 13 0 06 Sep 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 34 185 0 22 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 57 18 0 11 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 19 45 0 09 Aug 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 22 21 0 27 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 19 1 0 12 Jul 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Dong Lee Sae-Young Chung 26 20 0 22 Jun 2021
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 40 61 0 14 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 177 187 0 11 Dec 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 18 70 0 24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Hongguang Zhang Piotr Koniusz Songlei Jian Hongdong Li Philip H. S. Torr SSL 34 59 0 12 Jan 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 630 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017