Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift
Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Comparative performance analysis (accuracy, speed, and power)
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning
Batch Normalization in Convolutional Neural Networks — A comparative study with CIFAR-10 data
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Breaking the Activation Function Bottleneck through Adaptive Parameterization
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Gated End-to-End Memory Networks
Efficient mini-batch training for stochastic optimization
ImageNet pre-trained models with batch normalization
PipeDream: Fast and Efficient Pipeline Parallel DNN Training
Revisiting Batch Normalization For Practical Domain Adaptation
End-To-End Memory Networks
Analog in-memory subthreshold deep neural network accelerator
cuDNN: Efficient Primitives for Deep Learning
An Empirical Model of Large-Batch Training
Memory Bounded Deep Convolutional Networks
A neural network memory prefetcher using semantic locality
Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent
Rapid Data Exploration and Visual Data Mining on Relational Data
Speech recognition with deep recurrent neural networks
On Tracking Control of Rigid and Flexible Joint Robots
Implementation and performance analysis of non-blocking collective operations for MPI
Calibration of a MEMS inertial measurement unit