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. 2112.06511
  4. Cited By
Ex-Model: Continual Learning from a Stream of Trained Models

Ex-Model: Continual Learning from a Stream of Trained Models

13 December 2021
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
    CLL
ArXivPDFHTML

Papers citing "Ex-Model: Continual Learning from a Stream of Trained Models"

10 / 10 papers shown
Title
Continual Policy Distillation of Reinforcement Learning-based
  Controllers for Soft Robotic In-Hand Manipulation
Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation
Lanpei Li
Enrico Donato
Vincenzo Lomonaco
Egidio Falotico
23
2
0
05 Apr 2024
CovarNav: Machine Unlearning via Model Inversion and Covariance
  Navigation
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation
Ali Abbasi
Chayne Thrash
Elaheh Akbari
Daniel Zhang
Soheil Kolouri
MU
32
3
0
21 Nov 2023
Continual Learning From a Stream of APIs
Continual Learning From a Stream of APIs
Enneng Yang
Zhenyi Wang
Li Shen
Nan Yin
Tongliang Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
CLL
27
3
0
31 Aug 2023
Heterogeneous Continual Learning
Heterogeneous Continual Learning
Divyam Madaan
Hongxu Yin
Wonmin Byeon
Jan Kautz
Pavlo Molchanov
CLL
29
5
0
14 Jun 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Iordanis Fostiropoulos
Jiaye Zhu
Laurent Itti
MoMe
CLL
27
3
0
25 May 2023
Projected Latent Distillation for Data-Agnostic Consolidation in
  Distributed Continual Learning
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
Joost van de Weijer
FedML
13
5
0
28 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
Ran He
Tien-Ping Tan
OOD
VLM
TTA
38
205
0
27 Mar 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
24
2
0
06 Jan 2023
Practical Recommendations for Replay-based Continual Learning Methods
Practical Recommendations for Replay-based Continual Learning Methods
Gabriele Merlin
Vincenzo Lomonaco
Andrea Cossu
Antonio Carta
D. Bacciu
CLL
11
28
0
19 Mar 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
1