Charting the Right Manifold: Manifold Mixup for Few-shot Learning

28 July 2019

Papers citing "Charting the Right Manifold: Manifold Mixup for Few-shot Learning"

50 / 154 papers shown

Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Yong Liu Jiangrong Shen Qiang Zhang 31 0 0 12 May 2025
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need Yang Liu Feixiang Liu Jiale Du Xinbo Gao Jungong Han 42 0 0 28 Mar 2025
Multi-Level Correlation Network For Few-Shot Image Classification Yunkai Dang Hao Fei Zhengyu Chen Xinliang Zhang Zheng Wang Meijun Sun Donglin Wang 99 1 0 04 Dec 2024
Neuromodulated Meta-Learning Jingyao Wang Huijie Guo Wenwen Qiang Jiangmeng Li Changwen Zheng Hui Xiong Gang Hua 61 0 0 11 Nov 2024
A Feature Generator for Few-Shot Learning Heethanjan Kanagalingam Thenukan Pathmanathan Navaneethan Ketheeswaran Mokeeshan Vathanakumar Mohamed Afham Ranga Rodrigo 26 0 0 21 Sep 2024
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning Hao-Wei Chiang Chi-Tse Huang Hsiang-Yun Cheng P. Tseng Ming-Hsiu Lee An-Yeu Wu 20 0 0 12 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail M. Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 45 3 0 30 Aug 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
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 39 1 0 21 May 2024
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC Lucas Grativol Ribeiro Lubin Gauthier Mathieu Léonardon Jérémy Morlier Antoine Lavrard-Meyer Guillaume Muller Virginie Fresse Matthieu Arzel 47 0 0 30 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
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning Selim Furkan Tekin Fatih Ilhan Tiansheng Huang Sihao Hu Ka-Ho Chow Margaret Loper Ling Liu 50 1 0 05 Apr 2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition Hefeng Wu Guangzhi Ye Ziyang Zhou Ling Tian Qing Wang Liang Lin 26 3 0 13 Jan 2024
Few-shot Image Generation via Information Transfer from the Built Geodesic Surface Yuexing Han Liheng Ruan Bing Wang 35 1 0 03 Jan 2024
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings Nikhil Mehta Kevin J Liang Jing Huang Fu-Jen Chu Li Yin Tal Hassner OODD 38 2 0 22 Dec 2023
Simple Semantic-Aided Few-Shot Learning Hai Zhang Junzhe Xu Shanlin Jiang Zhenan He VLM 28 7 0 30 Nov 2023
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation Jiahui Wang Qin Xu Bo Jiang Bin Luo 26 0 0 28 Nov 2023
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification Hao Zheng Runqi Wang Jianzhuang Liu Asako Kanezaki 41 7 0 04 Nov 2023
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning Michalis Lazarou Yannis Avrithis Guangyu Ren Tania Stathaki 19 0 0 30 Oct 2023
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image Rachid Zeghlache Pierre-Henri Conze Mostafa EL HABIB DAHO Yi-Hsuan Li Hugo Le Boité ... Pascale Massin B. Cochener Ikram Brahim G. Quellec M. Lamard 24 4 0 16 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 43 9 0 09 Oct 2023
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning Vaibhav Ganatra 11 3 0 28 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 25 6 0 20 Sep 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions Tianxu Wu Shuo Ye Shuhuang Chen Qinmu Peng Xinge You DiffM 35 3 0 15 Sep 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport Long Tian Jing Feng Wenchao Chen Xiaoqiang Chai Liming Wang Xiyang Liu Bo Chen 26 14 0 06 Aug 2023
Few-shot Image Classification based on Gradual Machine Learning Nanway Chen Xianming Kuang Feiyu Liu K. Wang Qun Chen CLL VLM 27 2 0 28 Jul 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 30 0 0 28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kai Zheng Huishuai Zhang Weiran Huang 24 4 0 28 Jul 2023
Towards Task Sampler Learning for Meta-Learning Jingyao Wang Wenwen Qiang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 30 10 0 18 Jul 2023
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
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 24 0 0 16 Jun 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 35 2 0 27 May 2023
Infinite Class Mixup Thomas Mensink Pascal Mettes 29 2 0 17 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 24 6 0 30 Apr 2023
Analogy-Forming Transformers for Few-Shot 3D Parsing N. Gkanatsios M. Singh Zhaoyuan Fang Shubham Tulsiani Katerina Fragkiadaki 3DPC 3DV 21 2 0 27 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 6 0 27 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 40 40 0 23 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Erik Cambria Bo-Wen Zhang Tao Chen 3DPC 29 15 0 31 Mar 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 24 35 0 25 Mar 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings Daniel J. Trosten Rwiddhi Chakraborty Sigurd Løkse Kristoffer Wickstrøm Robert Jenssen Michael C. Kampffmeyer 26 13 0 16 Mar 2023
Sample-efficient Adversarial Imitation Learning Dahuin Jung Hyungyu Lee Sung-Hoon Yoon SSL 26 2 0 14 Mar 2023
Toward a Geometric Theory of Manifold Untangling Xin Li Shuo Wang 31 0 0 07 Mar 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation Moon Ye-Bin D. Choi Y. Kwon Junsik Kim Tae-Hyun Oh ISeg 30 6 0 20 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 31 13 0 01 Feb 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach Yassir Bendou Lucas Drumetz Vincent Gripon G. Lioi Bastien Pasdeloup 33 1 0 16 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 31 5 0 02 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 38 3 0 22 Dec 2022
A Statistical Model for Predicting Generalization in Few-Shot Classification Yassir Bendou Vincent Gripon Bastien Pasdeloup Lukas Mauch Stefan Uhlich Fabien Cardinaux G. B. Hacene Javier Alonso García 21 2 0 13 Dec 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning C. Xu Chen Liu Xinwei Sun Siqian Yang Yabiao Wang Chengjie Wang Yanwei Fu 24 16 0 29 Nov 2022