ML+X Forum Presenter Sign-Up, Spring 2023

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ML+X is a monthly forum where machine learning practitioners (i.e., anyone who uses regression, clustering, deep learning, decision trees, natural language processing, etc.) gather to discuss some of the common challenges faced when applying machine learning to real-world problems and datasets.

Anyone who is applying machine learning in their work is welcome to present to receive feedback on their projects — especially students. Projects do not need to be 100% completed — we welcome presentations on project proposals as well. Please see this presentation guidelines document to review the standard format of ML+X presentations. If you have any questions about presenting, please reach out to Chris Endemann (endemann@wisc.edu).

Schedule: ML+X takes place on Tuesdays from 12-1pm CT on March 7th, April 11th, and May 2nd.

Email *

Name *

Department/Affiliation *

Which day(s) are you currently available to present? *

Presentations take place on Tuesdays from 12-1pm CT. All events are hosted in a hybrid format (zoom and in-person) in the Orchard View room inside the Discovery Building. Presenters may present via Zoom or in-person — whichever they prefer.

Please be sure to select as many presentation dates as your schedule allows so that we can group together presentations that share a similar methods theme.

March 7th

April 11th

May 2nd

Required

Please provide a brief 3-6 sentence summary of your project including the projects end-goal, methods utilized, and one challenge faced throughout the project. *

Please select each of the below ML topics that are relevant to your presentation. *

Regression

Time-Series Forecasting

Supervised Classification

Semi-Supervised ML

Self-Supervised Learning

Clustering / Unsupervised Learning

Computer Vision / Image Analysis

Decision Trees

Natural Language Processing

Transformer Models

High-Dimensional Data Analysis

Ethical Issues of ML (e.g., Algorithmic Bias, Privacy Concerns, Black Box Models, etc.)

Ensemble Methods

GANs

Recurrent Neural Networks

Deep Learning

Reinforcement Learning

Other:

Required

If you had to pick one overarching methods theme (e.g., deep learning, regression, computer vision, transformer models, etc.) to describe this project, which theme would you pick? *

Did you use any high-throughput computing tools (e.g. CHTC, AWS, Google Cloud) for this project? *

Yes - CHTC

Yes - AWS

Yes - Google Cloud

Other:

Please list three software/ML tools that were vital to this project. *

Please provide a tentative title for your presentation. *

This event is hosted by the ML Community (https://datascience.wisc.edu/ml-community/). The ML Community has a google group it uses to send reminders about upcoming events. If you aren't already a member of the google group, you can use this link to join: https://groups.google.com/a/g-groups.wisc.edu/forum/?authuser=0#!forum/ml-community-of-practice/join *

I am already a member of the google group

I just joined via the link provided

I'm having difficulty joining — please add me using the email I provided in this form

Other:

Additional comments

Is there anything else you'd like the event organizers to know?

A copy of your responses will be emailed to the address you provided.

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