We invite submissions of papers from computer vision, natural language processing, computational biology, graph learning, etc.. The topics include but are not limited to:

• Time-series analysis for forecasting the spread of pandemic
• Computer vision for the screening and risk assessment of infected cases
• Natural language processing for mining medical literature about pandemic
• Graph learning for drug discovery and repurposing
• Computational biology for vaccine development
• Predicting and scheduling medical resources
• Privacy-preserving contact tracing
• Analyzing electronic medical records for treating infectious diseases
• Social media analysis for detecting misinformation about pandemic
• Measuring the social and economic impact of pandemic
• Bias and society implications from the use of ML in pandemics
• Clinical translation / implementation of algorithms in real life

We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. While original contributions are preferred, we also invite submissions of high-quality work that has recently been published in other venues or is concurrently submitted. Papers should be up to 4 pages in length (excluding references) formatted using the ICLR template. All the submissions should be anonymous. An optional appendix can be added in the submission, after references. There is no page limit for appendix. The accepted papers are allowed to get submitted to other conference venues. This workshop has no archival proceedings.

Papers can be submitted through CMT https://cmt3.research.microsoft.com/MLPCP2021

Contact: mlpcp.iclr21@gmail.com

Important Dates

Paper submission deadline: 11:59 PM PST, Mar 07, 2021
Author notification: 11:59 PM PST, Apr 02, 2021
Camera-ready papers due: 11:59 PM PST, Apr 15, 2021