今のハリウッドのAsian Americanヒャッホイの流れで、ただでさえ恐ろしく数少ない日本人役すら日本語が喋れない役者に取られ、しかも周りがそれを「いいぞ!!Representation Matters!」と称える様を見る、在… https://t.co/UzZ89FB9bA
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A very compact representation of an image placeholder. Store it inline with your data and show it while the real image is loading for a smoother loading experience. It's similar to BlurHash but with the following advantages: Encodes more detail in the same space Also encodes the aspect ratio Gives more accurate colors Supports images with alpha Despite doing all of these additional things, the cod
The global spread of COVID-19 has highlighted the challenge posed by anti-vaccine attitudes. Despite scientific evidence that supports the effectiveness of vaccines in reducing the severity and mortality rates of COVID-19 infections, a significant segment of the population remains hesitant about or completely resistant to vaccination. This vocal minority presents a significant obstacle to public h
In short, BlurHash takes an image, and gives you a short string (only 20-30 characters!) that represents the placeholder for this image. You do this on the backend of your service, and store the string along with the image. When you send data to your client, you send both the URL to the image, and the BlurHash string. Your client then takes the string, and decodes it into an image that it shows wh
Immersive Light Field Video with a Layered Mesh Representation Michael Broxton*, John Flynn*, Ryan Overbeck*, Daniel Erickson*, Peter Hedman, Matthew DuVall, Jason Dourgarian, Jay Busch, Matt Whalen, Paul Debevec * - Denotes equal contribution. Abstract We present a system for capturing, reconstructing, compressing, and rendering high quality immersive light field video. We record immersive light
Robotic 'Third Thumb' use can alter brain representation of the hand Peer-Reviewed Publication University College London image: Designer Dani Clode with her 'Third Thumb' device view more Credit: Dani Clode Using a robotic 'Third Thumb' can impact how the hand is represented in the brain, finds a new study led by UCL researchers. The team trained people to use a robotic extra thumb and found they
Today, the Academy of Motion Picture Arts and Sciences announced new representation and inclusion standards for Oscars® eligibility in the Best Picture category, as part of its Academy Aperture 2025 initiative. The standards are designed to encourage equitable representation on and off screen in order to better reflect the diversity of the movie-going audience. Academy governors DeVon Franklin and
Date: May 31, 2021 | Estimated Reading Time: 39 min | Author: Lilian Weng The goal of contrastive representation learning is to learn such an embedding space in which similar sample pairs stay close to each other while dissimilar ones are far apart. Contrastive learning can be applied to both supervised and unsupervised settings. When working with unsupervised data, contrastive learning is one of
An overview of self-supervised pretext tasks in Natural Language Processing While Computer Vision is making amazing progress on self-supervised learning only in the last few years, self-supervised learning has been a first-class citizen in NLP research for quite a while. Language Models have existed since the 90’s even before the phrase “self-supervised learning” was termed. The Word2Vec paper fro
Self-supervised approaches for speech representation learning are challenged by three unique problems: (1) there are multiple sound units in each input utterance, (2) there is no lexicon of input sound units during the pre-training phase, and (3) sound units have variable lengths with no explicit segmentation. To deal with these three problems, we propose the Hidden-Unit BERT (HuBERT) approach for
We have proposed to develop a global hybrid deep learning framework to predict the daily prices in the stock market. With representation learning, we derived an embedding called Stock2Vec, which gives us insight for the relationship among different stocks, while the temporal convolutional layers are used for automatically capturing effective temporal patterns both within and across series. Evaluat
Bril: A Compiler Intermediate Representation for Learning Bril, the Big Red Intermediate Language, is a programming language for learning about compilers. It’s the intermediate representation we use in CS 6120, a PhD-level compilers course. Bril’s design tenets include: Bril is an instruction-oriented language, like most good IRs. The core is minimal and ruthlessly regular. Extensions make it inte
This issue tracker has been migrated to GitHub, and is currently read-only. For more information, see the GitHub FAQs in the Python's Developer Guide.
Human knowledge provides a formal understanding of the world. Knowledge graphs that represent structural relations between entities have become an increasingly popular research direction towards cognition and human-level intelligence. In this survey, we provide a comprehensive review of knowledge graph covering overall research topics about 1) knowledge graph representation learning, 2) knowledge
Google Using Website Representation Vectors to Classify with Expertise and Authority Posted in: SEO Join thousands of marketers to get the best search news in under 5 minutes. Get resources, tips and more with The Splash newsletter: Added (2020-02-23) Questions and Answers: A few questions about this Website Representation Vectors patent and some things about it, that I wanted to address. 1. The “
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