Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: TensorFlow: A system for large-scale machine learning
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TFLMS: Large Model Support in TensorFlow by Graph Rewriting
Comparing TensorFlow Deep Learning Performance Using CPUs, GPUs, Local PCs and Cloud
A comparison of platforms for implementing and running very large scale machine learning algorithms
TensorFlow-Serving: Flexible, High-Performance ML Serving
Dynamic control flow in large-scale machine learning
System-Aware Optimization for Machine Learning at Scale
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Project Adam: building an efficient and scalable deep learning training system
Optimization Methods for Large-Scale Machine Learning
Deep Learning at Scale and at Ease
A Reliable Effective Terascale Linear Learning System
Training Deeper Models by GPU Memory Optimization on TensorFlow
Progressive Learning for Systematic Design of Large Neural Networks
RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices
Efficient Training of Convolutional Neural Nets on Large Distributed Systems
Distributed Training Large-Scale Deep Architectures
End-to-End Large Scale Machine Learning with KeystoneML
An Empirical Model of Large-Batch Training
Lifelong Machine Learning Systems: Beyond Learning Algorithms
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks
FEATURE SELECTION USING ADABOOST FOR FACE EXPRESSION RECOGNITION
XSnippet: mining For sample code
Improved Functional Mappings via Product Preservation
Large Scale Distributed Deep Networks