Skip to content

Social-AI-Studio/WWW-24-Tutorial-Understanding-Dark-Humour

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 

Repository files navigation

Introduction

This is a GitHub repository containing the slides and hands-on materials for WWW'24 Tutorial: "Understanding (Dark) Humour with Internet Meme Analysis".

Tutorial Outline

S/N Segment Duration Presenter
1 Tutorial Opening: Memeology Unleashed
Introduction to Multimodal Memes $\bullet$ Understanding (Dark) Humor in Multimodal Memes: Challenges and Impacts $\bullet$ Recent Research Efforts: Datasets and Tasks
30 mins Tanmoy Chakraborty
2 Deep-Dive into Meme Analysis Methods
Introduction to Multimodal Meme Models: Text-Based and Vision-Language Meme Models $\bullet$ Introduction to Meme Model Analysis: Multimodal Model Understanding and Generalizability
60 mins Rui Cao
3 Hands-on with Meme Analysis Methods
Introduction to Meme Analytic Tool Kit (MATK): Installation and Configuration of MATK $\bullet$ Hands-on Practical with Meme Analysis Methods: Dataset Preprocessing and Model Training $\bullet$ Hands-on Practical with Meme Analysis: Perturbation-Based Meme Model Analysis
60 mins Ming Shan Hee
4 Conclusion and Discussion
Tutorial conclusion with discussion on future works
30 mins Roy Ka-Wei Lee

Slides

Coming Soon ...

Hands-On Materials

Coming Soon ...

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published