5 citations · 9 across the 8 of their papers we have counts for
8 papers
Analytic Incremental Learning For Sound Source Localization With Imbalance Rectification
Zexia Fan, Yu Chen, Qiquan Zhang +2
Sound source localization (SSL) demonstrates remarkable results in controlled settings but struggles in real-world deployment due to dual imbalance challenges: intra-task imbalance…
Online Continual Learning via Spiking Neural Networks with Sleep Enhanced Latent Replay
Erliang Lin, Wenbin Luo, Wei Jia +2
Edge computing scenarios necessitate the development of hardware-efficient online continual learning algorithms to be adaptive to dynamic environment. However, existing algorithms…
DMPCN: Dynamic Modulated Predictive Coding Network with Hybrid Feedback Representations
A S M Sharifuzzaman Sagar, Yu Chen, Jun Hoong Chan
Traditional predictive coding networks, inspired by theories of brain function, consistently achieve promising results across various domains, extending their influence into the fi…
On the Equivalence of Graph Convolution and Mixup
Xiaotian Han, Hanqing Zeng, Yu Chen +9
This paper investigates the relationship between graph convolution and Mixup techniques. Graph convolution in a graph neural network involves aggregating features from neighboring…
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez +12
In the last few years, we have witnessed a renewed and fast-growing interest in continual learning with deep neural networks with the shared objective of making current AI systems…
Semi-Discriminative Representation Loss for Online Continual Learning
Yu Chen, Tom Diethe, Peter Flach
The use of episodic memory in continual learning has demonstrated effectiveness for alleviating catastrophic forgetting. In recent studies, gradient-based approaches have been deve…