4 citations · 5 across the 2 of their papers we have counts for
5 papers
Recombination of Artificial Neural Networks
Aaron Vose, Jacob Balma, Alex Heye +5
We propose a genetic algorithm (GA) for hyperparameter optimization of artificial neural networks which includes chromosomal crossover as well as a decoupling of parameters (i.e.,…
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction
Garrett B. Goh, Khushmeen Sakloth, Charles Siegel +2
Deep learning algorithms excel at extracting patterns from raw data, and with large datasets, they have been very successful in computer vision and natural language applications. H…
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti +2
Routing questions in Community Question Answer services (CQAs) such as Stack Exchange sites is a well-studied problem. Yet, cold-start -- a phenomena observed when a new question i…
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
Jeff Daily, Abhinav Vishnu, Charles Siegel +2
In this paper, we present GossipGraD - a gossip communication protocol based Stochastic Gradient Descent (SGD) algorithm for scaling Deep Learning (DL) algorithms on large-scale sy…
What does fault tolerant Deep Learning need from MPI?
Vinay Amatya, Abhinav Vishnu, Charles Siegel +1
Deep Learning (DL) algorithms have become the de facto Machine Learning (ML) algorithm for large scale data analysis. DL algorithms are computationally expensive - even distributed…