Machine learning algorithms

Zero-shot learning

Zero-shot learning (ZSL) is a problem setup in machine learning, where at test time, a learner observes samples from classes which were not observed during training, and needs to predict the class that they belong to. Zero-shot methods generally work by associating observed and non-observed classes through some form of auxiliary information, which encodes observable distinguishing properties of objects. For example, given a set of images of animals to be classified, along with auxiliary textual descriptions of what animals look like, an artificial intelligence model which has been trained to recognize horses, but has never been given a zebra, can still recognize a zebra when it also knows that zebras look like striped horses. This problem is widely studied in computer vision, natural language processing, and machine perception. (Wikipedia).

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Zeros - How to Find Using Factoring

Learn how to find zeros using factoring in this free math video tutorial by Mario's Math Tutoring. We discuss what zeros are, what they represent both algebraically and graphically as well as how to find them. 0:04 What is a Zero 0:21 Synonyms for Zeros 0:51 Example 1 f(x)=x^2 - x - 12 Fi

From playlist PreCalculus

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Limit of (sqrt(x + h) - sqrt(x))/(h*sqrt(x(x + h))) as h approaches zero

In this video we find the limit of (sqrt(x + h) - sqrt(x))/(h*sqrt(x(x + h))) as h approaches zero. We do this by first rationalizing the numerator. I hope this helps someone who is learning calculus. Great Calculus Book: https://amzn.to/3VfotAU This is my affiliate link. As an Amazon Ass

From playlist Limits

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Zeros of Polynomials | Polynomials | Pre-Calculus

In this video we will cover how to determine the real zeros of a polynomial by factoring as well as writing the equation of a polynomial given the zeros and multiplicity. We will focus on factoring polynomials with two, three and four terms to higher powers. I make short, to-the-point

From playlist Pc - In the classroom

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What is the multiplicity of a zero?

👉 Learn about zeros and multiplicity. The zeroes of a polynomial expression are the values of x for which the graph of the function crosses the x-axis. They are the values of the variable for which the polynomial equals 0. The multiplicity of a zero of a polynomial expression is the number

From playlist Zeros and Multiplicity of Polynomials | Learn About

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What are zeros of a polynomial

👉 Learn about zeros and multiplicity. The zeroes of a polynomial expression are the values of x for which the graph of the function crosses the x-axis. They are the values of the variable for which the polynomial equals 0. The multiplicity of a zero of a polynomial expression is the number

From playlist Zeros and Multiplicity of Polynomials | Learn About

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How to Compute a One Sided limit as x approaches from the right

In this video I will show you How to Compute a One Sided limit as x approaches from the right.

From playlist One-sided Limits

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Learn how to find the zeros of a polynomial by factoring - Live

Here I will show you how to solve for the zeros as well as write the linear factorization of zeros given a polynomial to the power of 4

From playlist Live Lectures

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Complex Zeros of Polynomials | Polynomials | Pre-Calculus

In this video we explore how to determine the complex zeros of a polynomial function by factoring and division. We also will explore the fundamental theorem of algebra, Descartes rule of signs, and the rational zero test. I make short, to-the-point online math tutorials. I struggled with

From playlist Pc - In the classroom

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OpenAI CLIP - Connecting Text and Images | Paper Explained

❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ In this video, I cover the CLIP paper - Learning Transferable Visual Models from Natural Language Supervision. You'll learn about: ✔️ How the contrastive learning behind CLIP works ✔️ Al

From playlist Miscellaneous

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OpenAI CLIP: ConnectingText and Images (Paper Explained)

#ai #openai #technology Paper Title: Learning Transferable Visual Models From Natural Language Supervision CLIP trains on 400 million images scraped from the web, along with text descriptions to learn a model that can connect the two modalities. The core idea is a contrastive objective co

From playlist Papers Explained

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Few-Shot Text Classification in the Real-World

Intel Lab SPE Moshe Wasserblat will review SoTA methods for few-shot learning in the real-world and recent benchmarks.

From playlist Healthcare NLP Summit 2022

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GPT-3 - Language Models are Few-Shot Learners | Paper Explained

❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ In this video, I cover the famous GPT-3 model. I first give you some context about the stuff that happened since the paper was first published in May 2020 (hype, anti-hype, limitations,

From playlist Transformers

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OpenAI's CLIP for Zero Shot Image Classification

State-of-the-art (SotA) computer vision (CV) models are characterized by a *restricted* understanding of the visual world specific to their training data [1]. These models can perform *very well* on specific tasks and datasets, but they do not generalize well. They cannot handle new class

From playlist Computer Vision and Search Course

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GPT - Explained!

Let's talk about GPT, GPT-2, GPT-3 and ChatGPT in 10 minutes ABOUT ME ⭕ Subscribe: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 📚 Medium Blog: https://medium.com/@dataemporium 💻 Github: https://github.com/ajhalthor 👔 LinkedIn: https://www.linkedin.com/in/ajay-halthor-477974bb

From playlist Language Models

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SetFit and SBERT: ZERO Shot Classification w/ synthetic Data Set added (SBERT 47)

SetFit (trained on SBERT) was designed for few-shot learning, but the method can also be applied in scenarios where no (or not enough) labeled data is available for ZERO-Shot classification w/ synthetic data set added. The main trick is to create synthetic examples that resemble the clas

From playlist SBERT: Python Code Sentence Transformers: a Bi-Encoder /Transformer model #sbert

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Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 3

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To follow along with the course, visit: http://cs330.stanford.edu/fall2021/index.html To view all online courses and programs offered by Stanford, visit: http:/

From playlist Stanford CS330: Deep Multi-Task & Meta Learning I Autumn 2021I Professor Chelsea Finn

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Find the x and y intercepts to graph a polynomial linear factorization

I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips. If I helped you in this video, I would love to have you subscribe. My subscribers are my

From playlist Zeros of a Polynomial by Factoring

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Rasa Reading Group: GPT3 (Part 1)

Join Vincent and Rachael as they start reading the paper "Language Models are Few-Shot Learner" (Brown et al, unpublished), AKA the GPT3 paper, together. Link to paper: https://arxiv.org/abs/2005.14165

From playlist Rasa Reading Group

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Overview of Multiplicity of a zero - Online Tutor - Free Math Videos

👉 Learn about zeros and multiplicity. The zeroes of a polynomial expression are the values of x for which the graph of the function crosses the x-axis. They are the values of the variable for which the polynomial equals 0. The multiplicity of a zero of a polynomial expression is the number

From playlist Zeros and Multiplicity of Polynomials | Learn About

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GPT-3: Language Models are Few-Shot Learners (Paper Explained)

#gpt3 #openai #gpt-3 How far can you go with ONLY language modeling? Can a large enough language model perform NLP task out of the box? OpenAI take on these and other questions by training a transformer that is an order of magnitude larger than anything that has ever been built before and

From playlist Papers Explained

Related pages

Textual entailment | Generalization error