One of the main reasons for the enormous success of deep neural networks is their amazing ability to generalize, which seems mysterious from the perspective of classic machine learning. In particular, the number of trainable parameters in deep neural networks is often greater than the training data...
Deep Learning Theory 2-4 Geometry of Loss Surfaces (Conjecture) xiaodandan 0 0 Deep Learning Theory 2-3 Does Deep Network have Local Minima xiaodandan 0 0 Deep Learning Theory 1-3 Is Deep better than Shallow xiaodandan 0 0 动画讲解「Transformer」,一步一步深入浅出解释Transformer原理!这...
Deep Learning Theory 3-1_ Generalization Capability of Deep Learning(上)。听TED演讲,看国内、国际名校好课,就在网易公开课
论文题目:Using Graph Neural Networks to Improve Generalization Capability of the Models for Deepfake Detection(利用图神经网络提高Deepfake检测模型的泛化能力) 作者&团队:Huimin She, Yongjian Hu,Senior Member, IEEE,Beibei Liu,Member, IEEE,Jicheng Li, and Chang-Tsun Li,Senior Member, IEEE 1华南理工大学...
Raginsky, “Information-theoretic analysis of generalization capability of learning algorithms,” Advances in Neural Information Processing Systems, vol. 30, 2017. [2] F. Hellstr ̈om and G. Durisi, “A new family of generalization bounds using sample wise evaluated cmi,” Advances in Neural...
We show that it is the characteristics the landscape of the loss function that explains the good generalization capability. For the landscape of loss function for deep networks, the volume of basin of attraction of good minima dominates over that of poor minima, which guarantees optimization ...
Abstract Enhancing the generalization capability of deep neural networks to unseen domains is crucial for safety-critical applications in the real world such as autonomous driv- ing. To address this issue, this paper proposes a novel in- stance select...
All the analysed architectures seem to have a different way to look at deepfakes, but since in a real-world environment the generalization capability is essential, based on the experiments carried out, the attention-based architectures seem to provide superior performances. 展开 关键词: deepfake ...
As such, METABDRY explicitly optimizes the capability of "learning to generalize," resulting in a more general and robust model to reduce the domain ... J Li,S Shang,L Chen - 《IEEE Transactions on Neural Networks & Learning Systems》 被引量: 0发表: 2020年 Learning How to Generalize Ge...
Over the nuisance space training is slower and early stopping can help with generalization at theexpense of some bias. We also show that the overall generalization capability of the network is controlledby how well the label vector is aligned with the information space. A key feature of our ...