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Towards Explainable Deep Neural Networks (xDNN)

In this paper, we propose an elegant solution that is directly addressin...

12/05/2019 ∙ by Plamen Angelov, et al. ∙ 125 ∙ share

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IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data

Learning from offline task demonstrations is a problem of great interest...

11/13/2019 ∙ by Ajay Mandlekar, et al. ∙ 108 ∙ share

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Basic Principles of Clustering Methods

Clustering methods group a set of data points into a few coherent groups...

11/18/2019 ∙ by Alexander Jung, et al. ∙ 108 ∙ share

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Motion Reasoning for Goal-Based Imitation Learning

We address goal-based imitation learning, where the aim is to output the...

11/13/2019 ∙ by De-An Huang, et al. ∙ 105 ∙ share

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Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates

Online harassment is a significant social problem. Prevention of online ...

11/13/2019 ∙ by Anqi Liu, et al. ∙ 100 ∙ share

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Efficient Saliency Maps for Explainable AI

We describe an explainable AI saliency map method for use with deep conv...

11/26/2019 ∙ by T. Nathan Mundhenk, et al. ∙ 93 ∙ share

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The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design

The past decade has seen a remarkable series of advances in machine lear...

11/13/2019 ∙ by Jeffrey Dean, et al. ∙ 92 ∙ share

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PyTorch: An Imperative Style, High-Performance Deep Learning Library

Deep learning frameworks have often focused on either usability or speed...

12/03/2019 ∙ by Adam Paszke, et al. ∙ 89 ∙ share

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Efficient Object Detection in Large Images using Deep Reinforcement Learning

Traditionally, an object detector is applied to every part of the scene ...

12/09/2019 ∙ by Burak Uzkent, et al. ∙ 87 ∙ share

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An "outside the box" solution for imbalanced data classification

A common problem of the real-world data sets is the class imbalance, whi...

11/16/2019 ∙ by Hubert Jegierski, et al. ∙ 86 ∙ share

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Towards Visually Explaining Variational Autoencoders

Recent advances in Convolutional Neural Network (CNN) model interpretabi...

11/18/2019 ∙ by Wenqian Liu, et al. ∙ 84 ∙ share

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