Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning

15 June 2022

Papers citing "Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning"

6 / 6 papers shown

Title
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification Markus Weißflog P. Protzel Peer Neubert 31 1 0 17 Jul 2024
Robustness-preserving Lifelong Learning via Dataset Condensation Jinghan Jia Yihua Zhang Dogyoon Song Sijia Liu Alfred Hero DD 26 3 0 07 Mar 2023
Towards Label-Efficient Incremental Learning: A Survey Mert Kilickaya Joost van de Weijer Yuki M. Asano CLL 20 4 0 01 Feb 2023
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,367 0 09 Mar 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,214 0 09 Jun 2011