Submission Information

Call for Presenters

We invite researchers and practitioners of machine learning (ML) and deep learning (DL) to present their ongoing or past work at the annual ML/DL workshop.

A list of relevant topics that aid in sorting talks into cohesive sessions are:

  • Applications (e.g., pathing, remote sensing, power systems, etc.)
  • Deep learning (e.g., architectures, generative models, optimization for deep networks, foundation models, LLMs)
  • Probabilistic methods (e.g., variational inference, causal inference, Gaussian processes)
  • Infrastructure (e.g., libraries, improved implementation and scalability, distributed solutions)
  • Scientific machine learning (e.g., physics-informed training, physics-based models, PDEs/ODEs) 
  • Reinforcement learning (e.g., decision and control, planning, hierarchical RL, robotics)
  • Theory (e.g., control theory, learning theory, algorithmic game theory)
  • Generative AI (e.g., large language models, diffusion models, transformers)
  • Trustworthy Machine Learning (e.g., accountability, causality, fairness, privacy, robustness)
  • OTHER (does not fit into other categories)

but we welcome submissions that do not fit perfectly into these topics as long as they are related to ML/DL.

The MLDL Workshop has a high acceptance rate and we strive to include most submitted talks. However, as we continue to receive more submissions every year, we may need to down select through a review progress. This year, we are using the industry standard, OpenReview, to manage abstract submissions and reviews as necessary.

Presentation Formats

All talks will be pre-recorded and virtual:

  • Oral presentations should be recorded using Skype or Microsoft Teams (or another screen recording tool) and shared with the ML/DL workshop to provide to attendees.
  • Talks are limited to 15-, 20-, or 30- minute time slots to help with schedule progression.

Submission Information

  • Initial submissions should only contain abstracts of intended presentations (not the full slide deck or recording).
  • Once notice of acceptance for presentations have been sent to presenters, completed materials will be requested.
  • Final pre-recorded videos of the presentation must be uploaded to the website prior to workshop.
  • All participants should submit their presentations to the button link below.

Important Dates

  • May 30th, 2025: Abstract submissions due for open session
  • June 20th, 2025: Abstract acceptance notifications are sent
  • July 18th, 2025: Final Recorded ML/DL presentations due
  • August 11-14th, 2025: ML/DL Workshop (Virtual)

Ready to Submit? Click Here!