Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Distributed Sparse Linear Regression
Scalable Nonlinear Learning with Adaptive Polynomial Expansions
SLEP: Sparse Learning with Efficient Projections
Retargeted Least Squares Regression Algorithm
Large-Scale Linear Optimization through Machine Learning: From Theory to Practical System Design and Implementation
A Generalization Theory of Gradient Descent for Learning Over-parameterized Deep ReLU Networks.
A convergence analysis of log-linear training
An interior-point method for large-scale l1-regularized logistic regression
Unbiased scalable softmax optimization
A novel softplus linear unit for deep convolutional neural networks
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Resource Elasticity for Large-Scale Machine Learning
solving large scale linear prediction problems using stochastic gradient descent algorithms .
Hierarchical evolution of linear regressors
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
Parallel Reinforcement Learning with Linear Function Approximation
Semi-Supervised and Unsupervised Extreme Learning Machines
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers
Full-Capacity Unitary Recurrent Neural Networks
Nutrition in Wound Care Management: A Comprehensive Overview.
Bounded Uncertainty Roadmaps for Path Planning
A Survey and Taxonomy of Graph Sampling
How Does the Use of Modern Communication Technology Influence Language and Literacy Development? A Review
High-dimensional signature compression for large-scale image classification