DeeSIL: Deep-Shallow Incremental Learning

20 August 2018

Papers citing "DeeSIL: Deep-Shallow Incremental Learning"

10 / 10 papers shown

Title
HearFit+: Personalized Fitness Monitoring via Audio Signals on Smart Speakers Yadong Xie Fan Li Yue Wu Yu-Xiang Wang 40 5 0 30 Mar 2025
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction Hossein Resani B. Nasihatkon 3DV 151 0 0 08 Oct 2024
Divide and not forget: Ensemble of selectively trained experts in Continual Learning Grzegorz Rype'sć Sebastian Cygert Valeriya Khan Tomasz Trzciñski Bartosz Zieliñski Bartlomiej Twardowski CLL 29 28 0 18 Jan 2024
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis Xiu-yan Chen Xiaobin Chang CLL 26 0 0 29 Aug 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 30 112 0 23 Nov 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang CLL 26 4 0 15 Jun 2022
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 25 55 0 04 Apr 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 27 13 0 15 Feb 2021
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 22 78 0 16 Jan 2020
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 31 295 0 06 Oct 2019