Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs.
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
Asynchronous stochastic gradient descent for DNN training
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
DenResNet : Ensembling Dense Networks and Residual Networks
Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
Improving CNN Performance Accuracies With Min–Max Objective
Training Deep and Recurrent Networks with Hessian-Free Optimization
Practical recommendations for gradient-based training of deep architectures
Residual Networks are Exponential Ensembles of Relatively Shallow Networks
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
What makes ImageNet good for transfer learning?
Stable Architectures for Deep Neural Networks
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training
N ov 2 01 8 Gradient Descent Finds Global Minima of Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Sharp Minima Can Generalize For Deep Nets
How Does Batch Normalization Help Optimization?
Designing the spectator experience
Flexible and Stretchable Electronics for Biointegrated Devices
Low-Loss Patterned Ground Shield Interconnect Transmission Lines in Advanced IC Processes
Off-Line Arabic Character Recognition – A Review
Building high-level features using large scale unsupervised learning