Weighted Ensemble Models Are Strong Continual Learners

Weighted Ensemble Models Are Strong Continual Learners

14 December 2023

Imad Eddine Marouf

Enzo Tartaglione

Stéphane Lathuilière

Papers citing "Weighted Ensemble Models Are Strong Continual Learners"

16 / 16 papers shown

Title
Task-conditioned Ensemble of Expert Models for Continuous Learning Renu Sharma Debasmita Pal Arun Ross OOD KELM 60 0 0 11 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging Mei Li Yuxiang Lu Qinyan Dai Suizhi Huang Yue Ding Hongtao Lu CLL MoMe 44 0 0 03 Apr 2025
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection Chiara Cappellino G. Mancusi Matteo Mosconi Angelo Porrello Simone Calderara Rita Cucchiara ObjD VLM 81 0 0 12 Mar 2025
Understanding the Limits of Lifelong Knowledge Editing in LLMs Lukas Thede Karsten Roth Matthias Bethge Zeynep Akata Tom Hartvigsen KELM CLL 73 2 0 07 Mar 2025
Towards Robust Incremental Learning under Ambiguous Supervision Rui Wang Mingxuan Xia Chang Yao Lei Feng Junbo Zhao Gang Chen Haobo Wang CLL 51 0 0 23 Jan 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition George Karantaidis Athanasios Pantsios Y. Kompatsiaris Symeon Papadopoulos CLL 60 0 0 20 Jan 2025
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu Sili Huang Li Shen Zhejian Yang Shengchao Hu Shisong Tang H. Chen Yi-Ju Chang Dacheng Tao Lichao Sun OffRL 27 0 0 21 Oct 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection Mingyi Guo Yuyang Liu Zongying Lin Peixi Peng Yonghong Tian Yonghong Tian VLM 30 0 0 08 Oct 2024
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation Yujie Feng Xu Chu Yongxin Xu Guangyuan Shi Bo Liu Xiao-Ming Wu MoMe CLL 19 7 0 19 Aug 2024
MagMax: Leveraging Model Merging for Seamless Continual Learning Daniel Marczak Bartłomiej Twardowski Tomasz Trzciñski Sebastian Cygert MoMe CLL 26 17 0 08 Jul 2024
Continual Learning with Weight Interpolation Jkedrzej Kozal Jan Wasilewski Bartosz Krawczyk Michal Wo'zniak CLL MoMe 21 6 0 05 Apr 2024
Continual Learning with Pre-Trained Models: A Survey Da-Wei Zhou Hai-Long Sun Jingyi Ning Han-Jia Ye De-Chuan Zhan CLL KELM 26 62 0 29 Jan 2024
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning A. Panos Yuriko Kobe Daniel Olmeda Reino Rahaf Aljundi Richard E. Turner CLL 90 42 0 23 Mar 2023
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 186 128 0 19 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016