Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Depthwith nonlinearity creates no bad localminima in ResNets
Deep Learning without Poor Local Minima
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Deep Pyramidal Residual Networks
A geometric perspective on the robustness of deep networks
When and Why Are Deep Networks Better Than Shallow Ones?
Dynamic Steerable Blocks in Deep Residual Networks
No bad local minima: Data independent training error guarantees for multilayer neural networks
Lipschitz Properties for Deep Convolutional Networks
Learning Deep Models: Critical Points and Local Openness
Comparison of non-linear activation functions for deep neural networks on MNIST classification task
Aggregated Residual Transformations for Deep Neural Networks
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train
Invertible Residual Networks
Adding Gradient Noise Improves Learning for Very Deep Networks
Learning the Structure of Deep Convolutional Networks
Improving deep neural networks with multilayer maxout networks
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Deep Learning using Rectified Linear Units (ReLU)
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers
The Power of Depth for Feedforward Neural Networks
Authorship analysis: Identifying the author of a program
Echinoderm-Inspired Tube Feet for Robust Robot Locomotion and Adhesion
Can Your Smartphone Infer Your Mood ?
Measuring emotions in students' learning and performance: The Achievement Emotions Questionnaire (AEQ)
Bayesian Multi-Scale Optimistic Optimization