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XtarNet: Learning to Extract Task-Adaptive Representation for
  Incremental Few-Shot Learning

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning

19 March 2020
Sung Whan Yoon
Do-Yeon Kim
Jun Seo
Jaekyun Moon
    CLL
ArXivPDFHTML

Papers citing "XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning"

11 / 11 papers shown
Title
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Igor Skrjanc
CLL
43
0
0
12 Feb 2025
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Xiangtai Li
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
Bernard Ghanem
CLL
31
8
0
03 Aug 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class
  Incremental Learning
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Yibo Yang
Haobo Yuan
Xiangtai Li
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
CLL
32
96
0
06 Feb 2023
Better Generalized Few-Shot Learning Even Without Base Data
Better Generalized Few-Shot Learning Even Without Base Data
Seongwoong Kim
Dong-Wan Choi
21
7
0
29 Nov 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource
  Task-Specific Natural Language Generation
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
Zhuang Li
Lizhen Qu
Qiongkai Xu
Tongtong Wu
Tianyang Zhan
Gholamreza Haffari
CoGe
UD
DRL
41
4
0
27 Feb 2022
Graph Few-shot Class-incremental Learning
Graph Few-shot Class-incremental Learning
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
CLL
GNN
27
59
0
23 Dec 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
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
27
2
0
21 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning
Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek
Ekin Akyürek
Derry Wijaya
Jacob Andreas
CLL
21
59
0
13 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Cross Attention Network for Few-shot Classification
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
320
11,681
0
09 Mar 2017
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