Artificial Intelligence

AI Research News

Discover the latest AI research & find out how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy, all thanks to expert articles that include discussion on the potential, limits and consequences of AI.

Top news of the week: 01.06.2022.

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@ylecun shared
On May 29, 2022
RT @PyTorchPractice: Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch https://t.co/r9fQAqWzU6 #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch
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Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch - GitHub - lucidrains/imagen-pytorch: Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

@peteskomoroch shared
On May 27, 2022
Kick the tires on DALL-E mini and make the neural network hallucinate some dog photos using this @basetenco demo: https://t.co/U1bJKz4RVK https://t.co/J7iyf6Lh0W https://t.co/7UeV6lR6un
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Image generation

Image generation

Use Dall·E mini to generate original images from a text prompt.

@deliprao shared
On May 28, 2022
RT @StatModeling: The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning https://t.co/nNmaHIDmTs
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The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning

The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning

A deeper understanding of what reproducibility critiques in research in supervised ML have in common with the replication crisis in experimental science can put the new concerns …

@hugo_larochelle shared
On May 30, 2022
RT @fpedregosa: Why do cyclical step-sizes work? And more importantly, when _don't_ they work? I wrote a blog post about it https://t.co/qrpzIA3Iry based on a recent paper. Ready to follow me down the rabbit hole? 🐇 https://t.co/YhD4tkJMq8
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On the Link Between Optimization and Polynomials, Part 5

On the Link Between Optimization and Polynomials, Part 5

Six: All of this has happened before. Baltar: But the question remains, does all of this have to happen again? Six: This time I bet no. Baltar: You know, I've never known you to play the ...

@hugo_larochelle shared
On May 27, 2022
RT @TmlrPub: How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers Andreas Peter Steiner, Alexander Kolesnikov, Xiaohua Zhai, Ross Wightman, Jakob Uszkoreit, Lucas Beyer https://t.co/lChJc7NA57
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How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

Vision Transformers (ViT) have been shown to attain highly competitive performance for a wide range of vision applications, such as image classification, object detection and semantic ...

@DeepMind shared
On May 26, 2022
This paper explores how QA models can adapt to new information to answer questions about new events: https://t.co/cXBETOSJxz GitHub: https://t.co/tPRuCeaIJh 2/
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StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models

Knowledge and language understanding of models evaluated through question answering (QA) has been usually studied on static snapshots of knowledge, like Wikipedia. However, our world is ...