Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training

10 May 2019

Papers citing "Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training"

24 / 24 papers shown

Title
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 23 6 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 33 0 0 13 Apr 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Hongyuan Zhu Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 21 26 0 31 Mar 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 33 3 0 22 Dec 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 20 8 0 10 Nov 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 32 4 0 11 Oct 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 11 7 0 27 Sep 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 23 9 0 04 Jun 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 17 6 0 11 Apr 2022
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 19 45 0 03 Dec 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 26 35 0 08 Nov 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 14 8 0 09 Oct 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 26 185 0 22 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 32 17 0 09 Aug 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
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 20 9 0 28 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 23 50 0 16 Jun 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 53 35 0 23 Jan 2021
Towards Zero-Shot Learning with Fewer Seen Class Examples Vinay K. Verma Ashish Mishra Anubha Pandey H. Murthy Piyush Rai VLM 31 15 0 14 Nov 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 13 34 0 20 Oct 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat F. Khan M. Shah SSL 26 91 0 17 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 19 192 0 28 May 2020
Few-Shot Open-Set Recognition using Meta-Learning Bo Liu Hao Kang Haoxiang Li G. Hua Nuno Vasconcelos BDL EDL 17 89 0 27 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 284 11,681 0 09 Mar 2017