Abstract Data-Free Knowledge Distillation (DFKD) can be used to train students using
synthetic data, when the original dataset of the teacher network is not accessible. However …

The emergence of large-scale pre-trained models has heightened their application in
various downstream tasks, yet deployment is a challenge in environments with limited …

为稀疏语义并加强对重点特征的关注, 增强空间位置和局部特征的关联性, 对特征空间位置进行
约束, 本文提出空间位置矫正的稀疏特征图像分类网络(SSCNet). 该网络以ResNet-34 …

To sparse semantics and enhance attention to key features, enhance the correlation
between spatial and local features, and constrain the spatial position of features, this paper …

Artificial Intelligence (AI) technology has advanced significantly, enabling AI models to learn
from diverse data and automate tasks previously performed solely by humans. This …

Federated Learning (FL) is a decentralized machine learning paradigm that enables clients
to collaboratively train models while preserving data privacy. However, surmounting the …

추천 시스템의 지속 학습 연구는 컴퓨터 비전이나 자연어 처리 분야의 연구와 같이 치명적 망각
현상 완화를 목표로 하는 안정성 향상에 초점을 맞춘다. 하지만 안정성에만 초점을 맞춘 지속 …