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Few-Shot Lifelong Learning

Few-Shot Lifelong Learning

1 March 2021
Pratik Mazumder
Pravendra Singh
Piyush Rai
    CLL
ArXivPDFHTML

Papers citing "Few-Shot Lifelong Learning"

10 / 10 papers shown
Title
Bias Mitigating Few-Shot Class-Incremental Learning
Bias Mitigating Few-Shot Class-Incremental Learning
Li-Jun Zhao
Zhen-Duo Chen
Ziya Zhang
Xin Luo
Xin-Shun Xu
CLL
48
1
0
01 Feb 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental
  Learning
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
Songsong Tian
Lusi Li
Weijun Li
Hang Ran
Li Li
Xin Ning
CLL
VLM
51
3
0
26 Jan 2024
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
33
9
0
19 Jul 2023
Towards Label-Efficient Incremental Learning: A Survey
Towards Label-Efficient Incremental Learning: A Survey
Mert Kilickaya
Joost van de Weijer
Yuki M. Asano
CLL
40
4
0
01 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
29
7
0
29 Nov 2022
Demystifying the Base and Novel Performances for Few-shot
  Class-incremental Learning
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning
Jaehoon Oh
Se-Young Yun
CLL
34
0
0
18 Jun 2022
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot
  Image Recognition
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
Kai Wang
Xialei Liu
Andrew D. Bagdanov
Luis Herranz
Shang Rui
Joost van de Weijer
CLL
VLM
36
9
0
09 Nov 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
32
2
0
21 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
35
8
0
11 Oct 2021
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
466
11,715
0
09 Mar 2017
1