Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

CMU Advanced NLP 2021 - Adversarial Learning

Graham Neubig via YouTube

Start learning Write review
Coursera Ad

Learn AI, Data Science & Business — Earn Certificates That Get You Hired

Learn More → Destination Certification Ad

CISSP MasterClass with a true CAT exam simulator

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This lecture examines generative adversarial networks and adversarial methods for natural language processing. It covers distribution matching, discriminators, discrete outputs and inputs, language representations, and unsupervised style transfer.

Syllabus

Intro
Adversarial Methods
generative adversarial networks
nonlatent models
ML vs GAN
Basic Paradigm
Loss Function
Distribution Matching
Distribution Matching Pseudocode
Why are Gans good
Image Generation
Problems
Classes
Discriminators
Questions
Discrete choices
Domain and variant representations
Language variant representations
Unsupervised style transfer

Taught by

Graham Neubig

Reviews

Start your review of CMU Advanced NLP 2021 - Adversarial Learning

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.