TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning

16 May 2019

Papers citing "TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning"

43 / 43 papers shown

Title
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning Renye Zhang Yimin Yin Jinghua Zhang CLL 50 0 0 29 Apr 2025
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition Hongyu Qu Rui Yan Xiangbo Shu Haoliang Gao Peng Huang Guo-Sen Xie 49 4 0 03 May 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 17 0 0 29 Jan 2024
Exploring intra-task relations to improve meta-learning algorithms P. Agarwal Shreya Singh OOD 22 1 0 27 Dec 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin Zhifeng Shen Jia-Li Yin Qipeng Liu Yuanlong Yu Weijie Chen CVBM 16 4 0 23 Nov 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 24 7 0 16 Oct 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 26 2 0 09 Jul 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
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 19 40 0 03 Apr 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
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation Yue Han Jiangning Zhang Zhucun Xue Chao Xu Xintian Shen Yabiao Wang Chengjie Wang Yong Liu Xiangtai Li 27 17 0 03 Jan 2023
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 24 9 0 09 Dec 2022
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification Fang Peng Xiaoshan Yang Linhui Xiao Yaowei Wang Changsheng Xu VLM 22 42 0 28 Nov 2022
Prompt-Based Metric Learning for Few-Shot NER Yanru Chen Yanan Zheng Zhilin Yang VLM 34 27 0 08 Nov 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 17 3 0 05 Oct 2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes Bin Ji Shasha Li Shaoduo Gan Jie Yu Jun Ma Huijun Liu 13 32 0 17 Aug 2022
Leveraging Language for Accelerated Learning of Tool Manipulation Allen Z. Ren Bharat Govil Tsung-Yen Yang Karthik Narasimhan Anirudha Majumdar LM&Ro 17 37 0 27 Jun 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 11 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 36 342 0 13 May 2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition Tingting Ma Huiqiang Jiang Qianhui Wu T. Zhao Chin-Yew Lin 28 58 0 12 Apr 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 25 154 0 07 Mar 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 27 21 0 15 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 33 30 0 01 Dec 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 22 2 0 21 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 30 10 0 14 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning Afra Feyza Akyürek Ekin Akyürek Derry Wijaya Jacob Andreas CLL 19 59 0 13 Oct 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 30 35 0 16 Sep 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 34 86 0 16 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 20 50 0 16 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 21 22 0 09 Jun 2021
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations Andreas Panteli Jonas Teuwen H. Horlings E. Gavves 21 3 0 21 Apr 2021
Document-Level Event Argument Extraction by Conditional Generation Sha Li Heng Ji Jiawei Han 14 292 0 13 Apr 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
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 11 70 0 24 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 11 34 0 20 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp G. Klambauer Sepp Hochreiter OOD 17 44 0 13 Oct 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 22 125 0 21 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 11 192 0 28 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 38 1,926 0 11 Apr 2020
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 17 59 0 07 Jun 2019
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017