ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.02925
  4. Cited By
Is Class-Incremental Enough for Continual Learning?

Is Class-Incremental Enough for Continual Learning?

6 December 2021
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
    CLL
ArXivPDFHTML

Papers citing "Is Class-Incremental Enough for Continual Learning?"

16 / 16 papers shown
Title
Incremental Learning with Repetition via Pseudo-Feature Projection
Incremental Learning with Repetition via Pseudo-Feature Projection
Benedikt Tscheschner
Eduardo Veas
Marc Masana
CLL
53
0
0
27 Feb 2025
Class-Prototype Conditional Diffusion Model with Gradient Projection for
  Continual Learning
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
Khanh Doan
Quyen Tran
Tung Lam Tran
Tuan Nguyen
Dinh Q. Phung
Trung Le
DiffM
35
2
0
10 Dec 2023
Negotiated Representations to Prevent Forgetting in Machine Learning
  Applications
Negotiated Representations to Prevent Forgetting in Machine Learning Applications
Nuri Korhan
Ceren Öner
CLL
49
0
0
30 Nov 2023
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for
  Continual Learning
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim
Susik Yoon
Dongmin Park
Youngjun Lee
Hwanjun Song
Jihwan Bang
Jae-Gil Lee
VLM
62
3
0
18 Nov 2023
TiC-CLIP: Continual Training of CLIP Models
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg
Mehrdad Farajtabar
Hadi Pouransari
Raviteja Vemulapalli
Sachin Mehta
Oncel Tuzel
Vaishaal Shankar
Fartash Faghri
VLM
CLIP
48
27
0
24 Oct 2023
Ada-QPacknet -- adaptive pruning with bit width reduction as an
  efficient continual learning method without forgetting
Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
CLL
37
2
0
14 Aug 2023
Heterogeneous Continual Learning
Heterogeneous Continual Learning
Divyam Madaan
Hongxu Yin
Wonmin Byeon
Jan Kautz
Pavlo Molchanov
CLL
39
5
0
14 Jun 2023
Continual Learning in Linear Classification on Separable Data
Continual Learning in Linear Classification on Separable Data
Itay Evron
E. Moroshko
G. Buzaglo
M. Khriesh
B. Marjieh
Nathan Srebro
Daniel Soudry
CLL
49
14
0
06 Jun 2023
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum
  Learning
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
Kamil Faber
Dominik Zurek
Marcin Pietroñ
Nathalie Japkowicz
Antonio Vergari
Roberto Corizzo
CLL
39
8
0
16 Mar 2023
Lifelong Continual Learning for Anomaly Detection: New Challenges,
  Perspectives, and Insights
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
Kamil Faber
Roberto Corizzo
B. Sniezynski
Nathalie Japkowicz
42
9
0
14 Mar 2023
Continual Learning for Predictive Maintenance: Overview and Challenges
Continual Learning for Predictive Maintenance: Overview and Challenges
J. Hurtado
Dario Salvati
Rudy Semola
Mattia Bosio
Vincenzo Lomonaco
34
32
0
29 Jan 2023
Class-Incremental Learning with Repetition
Class-Incremental Learning with Repetition
Hamed Hemati
Andrea Cossu
Antonio Carta
J. Hurtado
Lorenzo Pellegrini
D. Bacciu
Vincenzo Lomonaco
Damian Borth
52
10
0
26 Jan 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning
  Systems
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker
Alexander New
Mario Aguilar-Simon
Ziad Al-Halah
Sébastien M. R. Arnold
...
Zifan Xu
A. Yanguas-Gil
Harel Yedidsion
Shangqun Yu
Gautam K. Vallabha
43
16
0
18 Jan 2023
Online Class-Incremental Learning For Real-World Food Image
  Classification
Online Class-Incremental Learning For Real-World Food Image Classification
S. Raghavan
Jiangpeng He
Fengqing Zhu
CLL
68
14
0
12 Jan 2023
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for
  Continual Learning
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
G. Graffieti
Davide Maltoni
45
2
0
06 Jan 2023
Continual Developmental Neurosimulation Using Embodied Computational
  Agents
Continual Developmental Neurosimulation Using Embodied Computational Agents
Bradly Alicea
Rishabh Chakrabarty
Stefan Dvoretskii
Akshara Gopi
A. Lim
Jesse Parent
43
1
0
07 Mar 2021
1