Generating High Resolution Images Using Transformers

https://analyticsindiamag.com/ | Yesterday

Summary: Transformers are known for their long range interactions with sequential data and are easily adaptable to different tasks, be it Natural Language Processing, Computer Vision or audio. Transformers are free to learn all complex relationships in the given input as they do not contain any inductive bias, unlike Convolution Neural Networks CNN . This on the one hand 8230 The post Generating High Resolution Images Using Transformers appeared first on Analytics India Magazine....

Keywords: transformer, ai , neural network

Colorization Transformer

https://research.google/ | Yesterday

Summary: We present the Colorization Transformer, novel approach for diverse high fidelity image colorization based on self attention. Given grayscale image, the colorization proceeds in three steps. We first use an autoregressive transformer to produce low resolution coarse coloring of the grayscale image. Our architecture adopts conditional self attention blocks to effectively capture grayscale......

Keywords: transformer

Nickelodeon & eOne Unite for New Transformers Series

https://www.animationmagazine.net/ | Today

Summary: More news out of Nickelodeon this week The No. kids 8217 network and Hasbros Entertainment One eOne have partnered to co produce an original animated Transformers series 26 half hour episodes , based on the iconic global property. In the action comedy series, new species of Transformers must find their place and purpose among Autobots, Decepticons and the 8230...

Keywords: transformer, network

Deepfake Video Detection Using Convolutional Vision Transformer

https://paperswithcode.com/ | Today

Summary: In this work, we propose Convolutional Vision Transformer for the detection of Deepfakes. Code...

Keywords: transformer, deepfake

Pytorch ELMo, trained from scratch

https://towardsdatascience.com/ | Yesterday

Summary: PyTorch ELMo, trained from scratchLearn powerful contextual word embeddings on your own corpus using AllenNLPPhoto by on Language Model ELMo is powerful contextual embedding method that finds application in wide range of Natural Language Processing tasks. ELMo, along with others, started the trend of pretraining contextual word embeddings in NLP. The technique remains simple and intuitive, allowing itself to be easily added to existing models.In this article, we will discuss how to train...

Keywords: pytorch, metric, json, coding, nlp

Spatially Aware Multimodal Transformers for TextVQA

https://research.google/ | Yesterday

Summary: Textual cues are essential for everyday tasks like buying groceries and using public transport. To develop this assistive technology, we study the TextVQA task, i.e., reasoning about text in images to answer question. Existing approaches are limited in their use of spatial relations and rely on fully connected transformer based architectures to implicitly learn the spatial structure of a......

Keywords: transformer

A Universal Representation Transformer Layer for Few-Shot Image Classification

https://research.google/ | Yesterday

Summary: Few shot classification aims to recognize unseen classes given only few samples. We consider the problem of multi domain few shot image classification, where unseen classes and examples come from diverse data sources. This problem has seen growing interest and has inspired the development of benchmarks such as Meta Dataset. key challenge in this multi domain setting is effectively integrating......

Keywords: transformer, classification

Developing a Question Answering Application Quickly Using NVIDIA Jarvis

https://developer.nvidia.com/ | Today

Summary: There is high chance that you have asked your smart speaker question like, How tall is Mount Everest If you did, it probably said, Mount Everest is 29,032 feet above sea level. Have you ever wondered how it found an answer for you Question answering QA is loosely defined as system consisting div style margin top 0px margin bottom 0px class sharethis inline share buttons data url...

Keywords: deep learning, transformer, python, natural

Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks

https://paperswithcode.com/ | Yesterday

Summary: We study the problem of incorporating prior knowledge into deep Transformer based model, i. e., Bidirectional Encoder Representations from Transformers BERT , to enhance its performance on semantic textual matching tasks. Code href...

Keywords: transformer, bert

Rethinking Attention with Performers

https://research.google/ | Yesterday

Summary: We introduce Performers, Transformer architectures which can estimate regular softmax full rank attention Transformers with provable accuracy, but using only linear as opposed to quadratic space and time complexity, without relying on any priors such as sparsity or low rankness. To approximate softmax attention kernels, Performers use novel Fast Attention Via positive Orthogonal Random......

Keywords: transformer

Audio Deep Learning Made Simple (Part 3): Data Preparation and Augmentation

https://towardsdatascience.com/ | Yesterday

Summary: INTUITIVE AUDIO DEEP LEARNING SERIESA Gentle Guide to enhancing Spectrogram features for optimal performance. Also Data Augmentation, in Plain EnglishPhoto by on In this article, we will take that step further and enhance our Mel Spectrogram by tuning its hyper parameters. We will also look at Augmentation techniques for audio data. Both of these are essential aspects of data preparation in order to get better performance from our audio deep learning models.Heres quick summary of the...

Keywords: deep learning, transformer, turing, tpu

Linear Transformers Are Secretly Fast Weight Memory Systems

https://paperswithcode.com/ | Yesterday

Summary: We show the formal equivalence of linearised self attention mechanisms and fast weight memories from the early 90s. Code href...

Keywords: transformer

How to Automate Cost and Performance Improvement Through gp3 Upgrades Using AWS Systems Manager

https://aws.amazon.com/ | Yesterday

Summary: Automatically identifying and upgrading existing SSD volumes to take advantage of the new gp3 general purpose volumes for Amazon EBS can help organizations reduce storage costs. Learn how to upgrade your existing gp2 volumes, without interruption, to the next generation of general purpose SSD volumes using AWS Systems Manager. This core component of nubeGo s Cloud Managed Service NCMS which helps customers automate cost savings, security guardrails, and compliance requirements with minimal...

Keywords: transformer, json, api , aws

MIT 10 2021 ,

https://ain.ua/ | Today

Summary: MIT Technology , 2021 . AIN.UA MIT Technology. ......

Keywords: transformer, gpt

Custom normalizer throws error once enabled

https://drupal.stackexchange.com/ | Yesterday

Summary: wrote custom normalizer last year to alter link output using as reference for use with JSON API output, which worked like charm. However, at the moment get big error see below when I ve enabled the module.The error TypeError Adaptor Drupal jsonapi extras Plugin ResourceFieldEnhancerBase returned invalid output data in Drupal jsonapi extras Plugin ResourceFieldEnhancerBase gt undoTransform line 66 of vendor e0ipso shaper src DataAdaptor DataAdaptorTransformerTrait.php .Dr...

Keywords: json, tpu, php, container, transformer

Stockage : comparez les baies SAN adaptes aux PME

https://www.lemagit.fr/ | Yesterday

Summary: Les baies de stockage ne sont plus le domaine exclusif des grandes entreprises. De nombreux fournisseurs proposent dsormais des produits SAN d entre de gamme afin de permettre aux PME daller bien plus loin que leurs habituelles baies ou tiroirs de disques Contrairement une baie NAS qui ne partage que des fichiers et un tiroir de disques qui ne se branche que sur un seul serveur, les baies SAN permettent plusieurs serveurs daccder des disques en mode bloc. Ce mode est ncessaire ds lors qu...

Keywords: transformer, sql, aws, tableau

Premire partie du programme du SymfonyLive Online French Edition 2021

https://symfony.com/ | Today

Summary: 1264 Posted by The Jetpack Compose Team is Androids modern toolkit for building native UI. It enables you to quickly bring your app to life with less code, powerful tools, and intuitive Kotlin APIs. With the released today, this is the perfect time to learn Compose and get ready to adopt it. To help you get started with Jetpack Compose we are launching new AndroidDevChallenge For the next four weeks, the AndroidDevChallenge will be launching series of weekly challenges to help you build better apps faster with Jetpack Compose. Oriented around lift off insights, each challenge focuses on new area of Compose, from animations to Material Theming, composables to lists and more Compete to win new prizes for each challenge, with over one thousand prizes to win including Pixel 5. The first challenge starts today The challengesEvery week brings new challenge with its own rules and tasks. Every Wednesday starting today well publish blog post containing the full description of what you n...

Keywords: android, startup, game, blockchain, test

Text Segmentation by Cross Segment Attention

https://research.google/ | Yesterday

Summary: Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization. In this work, we propose three transformer based architectures and provide comprehensive comparisons with previously proposed approaches on three standard datasets. We establish a......

Keywords: transformer, nlp, course, summarization

AI predicts if storms will cause blackouts many days in advance

https://techxplore.com/ | Yesterday

Summary: In Finland, stormy weather can happen at any time of year. This is an issue because Finland is heavily forested, and falling trees can knock out power lines and disable transformers, causing power blackouts for hundreds of thousands of people year. Researchers at Aalto University and the Finnish Meteorological Institute FMI are using artificial intelligence and machine learning to try and predict when these weather inflicted blackouts happen. Their new method can now predict these storms day...

Keywords: ai , transformer, machine learning

Master Positional Encoding: Part II

https://towardsdatascience.com/ | Today

Summary: We upgrade to relative position, present bi directional relative encoding, and discuss the pros and cons of letting the model learn this all for youPhoto by on absolute positional encodings, this article will focus on relative positional encodings. We will also discuss the pros and cons of using learnable positional encoding as well. Along the way give proposal for implementing bi directional relative positional encoding, based on the architecture of Transformer XL. havent been...

Keywords: coding, transformer, design, mathematic, express