Overview
The International Conference on Learning Representations (ICLR) 2020 is inviting proposals for workshops, which will take place on April 26, 2020, in Addis Ababa, Ethiopia. This initiative aims to foster informal gatherings for individuals with shared interests, featuring discussions on ongoing research, future directions, and community engagement. Organizers are encouraged to propose creative formats for their workshops, which will include a full-day schedule with breaks for lunch and coffee. Accepted workshops will receive four complimentary registrations for their organizers.
Background & Relevance
Workshops at ICLR serve as a platform for collaboration and knowledge sharing among researchers and practitioners in the field of machine learning. They provide an opportunity to delve into emerging themes and foster discussions that can lead to innovative solutions and advancements in AI. The significance of these workshops lies in their potential to address pressing issues in machine learning, such as fairness, transparency, and applications for societal benefit.
Key Details
- Workshop Application Opens: September 4, 2019
- Application Deadline: October 25, 2019
- Notification of Acceptance: November 27, 2019
- Notification to Participants: February 25, 2020
- Workshop Date: April 26, 2020
- Location: Addis Ababa, Ethiopia
- Submission Link: ICLR 2020 Submission Site
Eligibility & Participation
The call for workshop proposals is open to all interested organizers who can present innovative topics within the realm of machine learning. This includes researchers, practitioners, and educators who wish to engage the community in meaningful discussions.
Submission or Application Guidelines
Proposals should be submitted as a single PDF file and must include the following elements:
– Title: A concise and descriptive workshop title.
– Organizers and Biographies: Brief bios highlighting relevant experience and expertise.
– Workshop Summary: 2-3 paragraphs detailing the workshop’s focus, significance, and intended contributions.
– Tentative Schedule: A list of potential speakers and a description of how discussions will be facilitated.
– Diversity Commitment: A statement on how the workshop will promote diversity.
– Access: Plans to engage participants who cannot attend in person.
– Previous Related Workshops: Information on any similar past workshops.
– Funding Plan: Details on sponsorships and funding needs.
Additional Context / Real-World Relevance
The workshops at ICLR 2020 are particularly relevant as they encourage discussions around pressing societal issues through the lens of AI. Topics such as AI for social good, healthcare, and climate change are critical in today’s context, making this a timely opportunity for researchers to contribute to impactful solutions.
Conclusion
ICLR 2020 presents a valuable opportunity for researchers and practitioners to share their insights and collaborate on innovative topics in machine learning. Interested organizers are encouraged to submit their proposals by the deadline and contribute to the advancement of the field. Explore this chance to engage with the community and share your ideas.
Category: CFP & Deadlines
Tags: iclr, workshops, machine learning, ai for social good, representation learning, deep learning, neuroscience, healthcare, natural language processing
