Recommended Background

CS 7647: Machine Learning with Limited Supervision is an ADVANCED class. This should not be your first exposure to computer vision, machine learning or deep learning. You will need:

• Intro-level Computer Vision

  • At least CS 4476/6476 or its equivalent.

• Intro-level Machine Learning

  • CS 4641 or equivalent

• Basic knowledge of deep learning 

• This class assumes a basic knowledge of deep learning. If you don't have this background, this class may not be for you. If you are rusty on Convolutional Neural Networks (CNNs) take a look at these lectures below:

  • CNNs: CNN Lecture 1, CNN Lecture 2

• Curiosity and Passion for research

  • The projects will likely address a novel problem or address an existing problem in a novel way. The curiosity to investigate and ability to dive deep into a problem are skills that are essential to succeed in this course.

• Programming

  • This is a demanding class in terms of programming skills.

  • Projects will typically involve programming likely in (but not restricted to) Python and using a deep learning library e.g., PyTorch, Tensorflow, Torch, Caffe, Theano, etc.

Resources

Here are some external resources that might be helpful when delving deep into the topics covered in this course

• Diffusion Models Tutorials - Tutorial 1, Tutorial 2

• Diffusion Models Blogpost - Blog 1

Generative AI models (such as ChatGPT)

• You may use generative AI models as a coding aid for your projects. Please properly note this at the end of your slides about the project when you list resources used.

• You may not use generative AI models to summarize readings. However, you may use it to help you to craft text based on your own thoughts. 

• You are responsible for any submitted content. This means you claim it as your own and verify it is correct.