Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Algorithmic Di erentiation in Python with AlgoPy
introduction to automatic differentiation and matlab object - oriented programming .
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms
Maximum Principle Based Algorithms for Deep Learning
Introduction to derivative-free optimization
The Eight-Point Algorithm
A Python Framework for Exhaustive Machine Learning Algorithms and Features Evaluations
Learning Simple Algorithms from Examples
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
Programming Parallel Algorithms
Algorithm Runtime Prediction : Methods & Evaluation ( Extended
The Landscape of Deep Learning Algorithms
The Development of Hyper-Dual Numbers for Exact Second-Derivative Calculations
Trend following algorithms in automated derivatives market trading
WNGrad: Learn the Learning Rate in Gradient Descent
Computational Divided Differencing and Divided-Difference Arithmetics
Understanding the Potential of Interpreter-based Optimizations for Python
Composing Algorithmic Skeletons to Express High-Performance Scientific Applications
Symbolic Execution for Deep Neural Networks
TensorLayer: A Versatile Library for Efficient Deep Learning Development
pyGPs: a Python library for Gaussian process regression and classification
IUI workshop on interactive machine learning
Pose-conditioned Spatio-Temporal Attention for Human Action Recognition
Educating Engineers for the 21 st Century : The Industry View
An efficient overloaded implementation of forward mode automatic differentiation in MATLAB
Deep Questions without Deep Understanding