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DoubleML – An Object-Oriented Implementation of Double Machine Learning in Python

DoubleML is an open-source Python library implementing the double machin...
04/07/2021 ∙ by Philipp Bach, et al. ∙ 295 ∙ share

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Evaluating Explainable Artificial Intelligence Methods for Multi-label Deep Learning Classification Tasks in Remote Sensing

Although deep neural networks hold the state-of-the-art in several remot...
04/03/2021 ∙ by Ioannis Kakogeorgiou, et al. ∙ 268 ∙ share

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AI4D – African Language Program

Advances in speech and language technologies enable tools such as voice-...
04/06/2021 ∙ by Kathleen Siminyu, et al. ∙ 204 ∙ share

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Federated Quantum Machine Learning

Distributed training across several quantum computers could significantl...
03/22/2021 ∙ by Samuel Yen-Chi Chen, et al. ∙ 190 ∙ share

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Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors

Transformer networks have revolutionized NLP representation learning sin...
03/29/2021 ∙ by Zeyu Yun, et al. ∙ 173 ∙ share

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The General Theory of General Intelligence: A Pragmatic Patternist Perspective

A multi-decade exploration into the theoretical foundations of artificia...
03/28/2021 ∙ by Ben Goertzel, et al. ∙ 150 ∙ share

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TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

Machine learning algorithms have achieved remarkable results and are wid...
04/07/2021 ∙ by Ayoub Benaissa, et al. ∙ 142 ∙ share

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CNN Model Tuning for Global Road Damage Detection

This paper provides a report on our solution including model selection, ...
03/17/2021 ∙ by Rahul Vishwakarma, et al. ∙ 139 ∙ share

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Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks

Impressive progress in 3D shape extraction led to representations that c...
03/18/2021 ∙ by Despoina Paschalidou, et al. ∙ 122 ∙ share

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Can Vision Transformers Learn without Natural Images?

Can we complete pre-training of Vision Transformers (ViT) without natura...
03/24/2021 ∙ by Kodai Nakashima, et al. ∙ 92 ∙ share

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DoubleML – An Object-Oriented Implementation of Double Machine Learning in R

The R package DoubleML implements the double/debiased machine learning f...
03/17/2021 ∙ by Philipp Bach, et al. ∙ 90 ∙ share

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