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A Mathematical Introduction to Generative Adversarial Nets (GAN)

Generative Adversarial Nets (GAN) have received considerable attention s...
09/01/2020 ∙ by Yang Wang, et al. ∙ 148 ∙ share

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A Survey of Deep Active Learning

Active learning (AL) attempts to maximize the performance gain of the mo...
08/30/2020 ∙ by Pengzhen Ren, et al. ∙ 147 ∙ share

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A Hybrid Deep Learning Model for Arabic Text Recognition

Arabic text recognition is a challenging task because of the cursive nat...
09/04/2020 ∙ by Mohammad Fasha, et al. ∙ 144 ∙ share

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learn2learn: A Library for Meta-Learning Research

Meta-learning researchers face two fundamental issues in their empirical...
08/27/2020 ∙ by Sébastien M. R. Arnold, et al. ∙ 112 ∙ share

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Imbalanced Image Classification with Complement Cross Entropy

Recently, deep learning models have achieved great success in computer v...
09/04/2020 ∙ by Yechan Kim, et al. ∙ 87 ∙ share

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Globally-scalable Automated Target Recognition (GATR)

GATR (Globally-scalable Automated Target Recognition) is a Lockheed Mart...
09/10/2020 ∙ by Gary Chern, et al. ∙ 85 ∙ share

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DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation

We present a novel approach to the garment animation problem through dee...
09/06/2020 ∙ by Hugo Bertiche, et al. ∙ 83 ∙ share

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Generative Language Modeling for Automated Theorem Proving

We explore the application of transformer-based language models to autom...
09/07/2020 ∙ by Stanislas Polu, et al. ∙ 83 ∙ share

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Too Much Information Kills Information: A Clustering Perspective

Clustering is one of the most fundamental tools in the artificial intell...
09/16/2020 ∙ by Yicheng Xu, et al. ∙ 83 ∙ share

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What is being transferred in transfer learning?

One desired capability for machines is the ability to transfer their kno...
08/26/2020 ∙ by Behnam Neyshabur, et al. ∙ 78 ∙ share

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Robust Vision Challenge 2020 – 1st Place Report for Panoptic Segmentation

In this technical report, we present key details of our winning panoptic...
08/23/2020 ∙ by Rohit Mohan, et al. ∙ 73 ∙ share

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