为了解决这些挑战,论文提出了一种新的ER方法,即Adversarial Shapley Value Experience Replay (ASER),它使用Shapley值来评估记忆样本的贡献,并在记忆检索和更新中采用对抗性策略。 3.Efficient Computation of Shapley Value via KNN Classifier 此章节主要介绍了如何高效地计算K最近邻分类器中每个数据点的Shapley值。 KNN...
TPL方法的核心思想是利用CIL(Class Incremental Learning)中的额外信息,如重放数据和已学习的任务信息,来设计一个更优化的任务ID预测方法。该方法通过以下几个关键技术实现: 似然比估计:TPL通过比较一个测试样本属于当前任务的概率与属于其他任务的概率来预测任务ID。这个比较是通过计算似然比来实现的,即将样本属于当前...
近年来，深度学习领域对终身学习（LLL）的关注激增，通常称为持续学习（Continual Learning）。尽管深度神经网络（DNNs）在许多任务中表现出色，但基于联结主义的深度学习算法面临灾难性遗忘问题，导致实现持续学习困难。在序列学习中，模型在学习新任务后，旧任务性能显著下降。人脑却能学习大量不同任务而不受...
Online class incremental learning? 2024 Elsevier LtdAiming at the realization of learning continually from an online data stream, replay-based methods have shown superior potential. The main challenge of replay-based methods is the selection of representative samples which are stored in the buffer and...
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk1,2,3,∗ Joost van de Weijer4,5 Bartosz Zielin´ski1,3,6 Bartłomiej Twardowski4,5,6 1 Faculty of Mathematics and Computer Science, Jagiellonian University 2 Doctoral School of Exact and Life Sci...
2. Two problems with the current approach to class-incremental continual learning 3. Methods and 3.1. Infinite dSprites 3.2. Disentangled learning 4. Related work 4.1. Continual learning and 4.2. Benchmarking continual learning 5. Experiments 5.1. Regularization methods and 5.2. Replay-based...
PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning Huiwei Lin, Baoquan Zhang, Shanshan Feng*, Xutao Li, Yunming Ye Harbin Institute of Technology, Shenzhen {linhuiwei, zhangbaoquan}@stu.hit.edu.cn, {victor fengss, lixutao, y...
While memory replay techniques have shown exceptional promise for this task of continual learning, the best method for selecting which buffered images to replay is still an open question. In this paper, we specifically focus on the online class-incremental setting where a model needs to learn new...
Continual learning models for stationary data focus on learning and retaining concepts coming to them in a sequential manner. In the most generic class-incremental environment, we have to be ready to deal with classes coming one by one, without any higher-level grouping. This requirement invalidate...
kdst-team/continual-learning-pytorchPublic Notifications Fork0 Star3 Class Incremental Learning reproduce github repository. License MIT license 3stars0forksBranchesTagsActivity Star Notifications main 1Branch0Tags Code Folders and files 14573e2·Nov 28, 2022 ...