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An Implementation of Vector Quantization using the Genetic Algorithm Approach

The application of machine learning(ML) and genetic programming(GP) to t...
02/16/2021 ∙ by Maha Mohammed Khan, et al. ∙ 147 ∙ share

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Training Larger Networks for Deep Reinforcement Learning

The success of deep learning in the computer vision and natural language...
02/16/2021 ∙ by Kei Ota, et al. ∙ 127 ∙ share

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Classification based on Topological Data Analysis

Topological Data Analysis (TDA) is an emergent field that aims to discov...
02/07/2021 ∙ by Rolando Kindelan, et al. ∙ 125 ∙ share

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Deep Convolutional Neural Networks with Unitary Weights

While normalizations aim to fix the exploding and vanishing gradient pro...
02/23/2021 ∙ by Hao-Yuan Chang, et al. ∙ 96 ∙ share

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Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

When engineers train deep learning models, they are very much "flying bl...
02/12/2021 ∙ by Frank Schneider, et al. ∙ 75 ∙ share

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Adaptable Hamiltonian neural networks

The rapid growth of research in exploiting machine learning to predict c...
02/25/2021 ∙ by Chen-Di Han, et al. ∙ 74 ∙ share

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Topological Graph Neural Networks

Graph neural networks (GNNs) are a powerful architecture for tackling gr...
02/15/2021 ∙ by Max Horn, et al. ∙ 66 ∙ share

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A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction

Automated construction of surface geometries of cardiac structures from ...
02/16/2021 ∙ by Fanwei Kong, et al. ∙ 65 ∙ share

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Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems

If machine failures can be detected preemptively, then maintenance and r...
02/23/2021 ∙ by Arnav V. Malawade, et al. ∙ 65 ∙ share

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Technical Challenges for Training Fair Neural Networks

As machine learning algorithms have been widely deployed across applicat...
02/12/2021 ∙ by Valeriia Cherepanova, et al. ∙ 64 ∙ share

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GenoML: Automated Machine Learning for Genomics

GenoML is a Python package automating machine learning workflows for gen...
03/04/2021 ∙ by Mary B. Makarious, et al. ∙ 64 ∙ share

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