Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: On Generalization and Regularization in Deep Learning
Understanding deep learning requires rethinking generalization
Stronger generalization bounds for deep nets via a compression approach
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
DropAll: Generalization of Two Convolutional Neural Network Regularization Methods
Regularization Learning Networks: Deep Learning for Tabular Datasets
Sharp Minima Can Generalize For Deep Nets
SoftTarget Regularization: An Effective Technique to Reduce Over-Fitting in Neural Networks
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
DeepHash: Getting Regularization, Depth and Fine-Tuning Right
A Convergence Theory for Deep Learning via Over-Parameterization
regularization theory and neural networks .
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
An analysis of training and generalization errors in shallow and deep networks
A New Angle on L2 Regularization
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Comparison of Regularization Methods for ImageNet Classification with Deep Convolutional Neural Networks
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
Learning Gradient Descent: Better Generalization and Longer Horizons
Regularization of Deep Neural Networks with Spectral Dropout
Memory limitations alone do not lead to over-regularization: An experimental and computational investigation
the pathophysiology of patellofemoral pain : a tissue homeostasis perspective .
The multiprocessor real -time scheduling of general task systems
Smart health: A context-aware health paradigm within smart cities
Emotional and physical health benefits of expressive writing
Shallow vs. Deep Sum-Product Networks