Overview
The International Conference on Learning Representations (ICLR) 2020 is inviting proposals for workshops that will take place on April 26, 2020, in Addis Ababa, Ethiopia. This marks the second year of workshops at ICLR, which serve as informal gatherings for individuals with shared interests to discuss ongoing work, future directions, and foster community engagement. Each accepted workshop will receive four complimentary registrations for the organizers.
Background & Relevance
Workshops at ICLR provide a platform for researchers and practitioners to delve into specific themes within the AI and machine learning domains. They encourage collaboration and knowledge sharing, which are essential for advancing research and application in these rapidly evolving fields. The significance of workshops lies in their ability to address emerging topics and foster discussions that can lead to innovative solutions and collaborations.
Key Details
- Workshop Application Deadline: October 25, 2019, 6 PM Pacific
- Workshop Notification: November 27, 2019
- Mandatory Notification Cutoff for Participants: February 25, 2020
- Workshop Date: April 26, 2020
- Location: Addis Ababa, Ethiopia
- Submission Site: ICLR 2020 Submission
Eligibility & Participation
The call for workshops is open to all interested organizers who wish to propose topics that are timely and relevant to the AI and machine learning community. The workshops are designed for researchers, practitioners, and students who are eager to engage in discussions around innovative themes and contribute to the field.
Submission or Application Guidelines
Organizers should submit their proposals as a single PDF file, including the following components:
– Title: A concise and descriptive workshop title.
– Organizers and Biographies: Short biographies highlighting organizational experience and expertise.
– Workshop Summary: 2-3 paragraphs outlining the workshop topic and its significance.
– Tentative Schedule: A list of potential speakers and a plan for encouraging discussion.
– Diversity Commitment: A statement addressing diversity in all forms.
– Access: Plans for engaging participants unable to attend in person.
– Previous Related Workshops: Information on past workshops, if applicable.
– Funding Plan: Details of any proposed or committed sponsorships.
Proposals must be submitted through the designated submission site before the deadline.
Additional Context / Real-World Relevance
The workshops at ICLR are particularly relevant as they address pressing issues in AI, such as fairness, transparency, and applications for social good. Topics like healthcare, education, and climate change are increasingly important as AI technologies continue to evolve and impact various sectors. Workshops focusing on these areas can significantly contribute to developing responsible and impactful AI solutions.
Conclusion
ICLR 2020 presents a valuable opportunity for researchers and practitioners to contribute to the discourse on critical AI topics through workshops. Interested organizers are encouraged to submit their proposals by the deadline and engage with the community to explore innovative ideas and solutions in the field of machine learning.
Category: Conferences & Workshops
Tags: iclr, workshops, machine learning, ai for social good, deep learning, representation learning, neuroscience, healthcare, education, climate change
