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Found 5 papers, 1 papers with code
Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks
Teacher-student learning is a framework in which we introduce two neural networks: one neural network is a target function in supervised learning, and the other is a learning neural network.
Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis
The plateau phenomenon, wherein the loss value stops decreasing during the process of learning, has been reported by various researchers.
Localized Generations with Deep Neural Networks for Multi-Scale Structured Datasets
The local learning approach extracts semantic representations for these datasets by training the embedding model from scratch for each local neighborhood, respectively.
Role of two learning rates in convergence of model-agnostic meta-learning
Model-agnostic meta-learning (MAML) is known as a powerful meta-learning method.
Saliency Fusion in Eigenvector Space with Multi-Channel Pulse Coupled Neural Network
Saliency computation has become a popular research field for many applications due to the useful information provided by saliency maps.
