2020 Conference
ICML Virtual Only (formerly Vienna) The Thirty-Seventh International Conference on Machine Learning Schedule Tutorials Invited Talks Papers Workshops ICML 2020 Virtual Site ICML 2020 Expo Sponsor Hall We're pleased to announce the invited speakers and panelists as well as the Test of Time and Outstanding paper award recipients for ICML 2020! The test of time talk will be live on Monday! Black Lives Matter The ICML community mourns George Floyd, Ahmaud Arbery, Breonna Taylor and countless other victims of police brutality and racial violence across the world. Black Lives Matter. We will deepen our partnership with Black in AI at ICML, and we share its goals of increasing participation of Black researchers in the field of AI. We affirm our commitment to investing in a future of machine learning research where Black researchers are empowered. ICML 2020 Conference Dates Sun EXPO Day Mon Tutorials and Test-of-Time Award Tue-Thr Main Conference and Invited Talks Fri-Sat Workshops Our Partners ICML would like to acknowledge the contribution of Hendrik Strobelt and Sasha Rush for helping to adopt their MiniConf system to the ICML 2020 Virtual Site. We would also like to SlidesLive.com for handling streaming and and video recording for our thousands of presentations and Zoom for handling our live interactions. (18 May 2020) Results of virtualization survey availabile. (30 May 2020) Announcement: Plan for how ICML 2020's Virtual Schedule will work (and rationale) released! Sponsors The ICML 2020 Sponsor Portal opened on Monday, April 6, 2020. Sponsors at the Platinum level can apply to participate in the EXPO . Application due date is Friday, June 5 and notification by June 14th. View ICML 2020 sponsors Become a 2026 Sponsor 2020 ICML Organizing Committee General Chair: David Blei (Columbia University) Program Chairs: Hal Daumé III (University of Maryland, Microsoft Research) Aarti Singh (Carnegie Mellon University) Workshop Chairs: Emtiyaz Khan (RIKEN) Po-ling Loh (University of Wisconsin) Tutorial Chairs: Alessandra Tosi (Mind Foundry) Xiaojin (Jerry) Zhu (University of Wisconsin) Diversity & Inclusion Chairs: Barbara Engelhardt (Princeton University) John Cunningham (Columbia University) Newcomers Chairs: Matthias Seeger (Amazon) Sinead Williamson (University of Texas at Austin) Sponsorship Chairs: Simon Lacoste-Julien (Université de Montréal) Caroline Uhler (Massachusetts Institute of Technology) Publications Chairs: Alexandre Bouchard-Côté (University of British Columbia) Samory Kpotufe (Columbia University) Press Chairs: Varun Kanade (Oxford University) Stefanie Jegelka (Massachusetts Institute of Technology) Workflow Chairs: Ivan Stelmakh (Carnegie Mellon University) Zhenyu (Sherry) Xue (Salk Institute) EXPO Chairs: Andrew G. Wilson (New York University) Marc Deisenroth (University College London) Virtual Chairs: Louvere Walker-Hannon (Mathworks) Anoush Najarian (MathWorks) Social Chairs: Olga Isupova (University of Bath) Adam White (Google) Technical Staff: Mary Ellen Perry (Salk)Brad Brockmeyer (Salk) Lee Campbell (Salk) Tony Manzo (Salk) Hendrik Strobelt (IBM) Sherry Xue (Salk) ICML is made possible by the hard work of the whole community, including a large team of reviewers, meta-reviewers, and expert reviewers . Reviewers are essential to selecting a good program, and to providing constructive feedback to authors. A huge thank you to all reviewers for their hard work from the program chairs. Board Successful Page Load ICML uses cookies for essential functions only. We do not sell your personal information. Our Privacy Policy » Accept
Executive Summary
The 2020 International Conference on Machine Learning (ICML) was held virtually due to the COVID-19 pandemic, marking a significant shift from its originally planned location in Vienna. The conference featured a robust schedule including tutorials, invited talks, paper presentations, workshops, and an expo. ICML 2020 also emphasized diversity and inclusion, particularly in response to global events, and honored outstanding contributions with awards such as the Test of Time and Outstanding Paper awards. The virtual format was supported by innovative technologies and partnerships, ensuring a seamless experience for attendees.
Key Points
- ▸ ICML 2020 was held virtually due to the COVID-19 pandemic.
- ▸ The conference included a diverse range of events and recognized outstanding contributions.
- ▸ Emphasis on diversity and inclusion, particularly in response to global events.
Merits
Innovative Virtual Format
The conference successfully adapted to a virtual format, leveraging technology to maintain engagement and accessibility.
Diversity and Inclusion Initiatives
ICML 2020 demonstrated a strong commitment to diversity and inclusion, particularly through its partnership with Black in AI.
Comprehensive Schedule
The conference offered a wide range of events, ensuring a rich and varied experience for attendees.
Demerits
Limited In-Person Interaction
The virtual format, while necessary, lacked the personal interaction and networking opportunities typical of in-person conferences.
Technical Challenges
Despite the best efforts, technical issues such as streaming and video recording could have impacted the overall experience.
Expert Commentary
The 2020 International Conference on Machine Learning (ICML) successfully navigated the challenges posed by the COVID-19 pandemic by transitioning to a virtual format. This adaptation not only ensured the continuity of the conference but also set a new standard for virtual academic events. The comprehensive schedule, which included tutorials, invited talks, paper presentations, workshops, and an expo, provided a rich and varied experience for attendees. The conference's emphasis on diversity and inclusion, particularly through its partnership with Black in AI, is commendable and reflects a growing recognition of the importance of these issues in the field of machine learning. However, the virtual format did come with limitations, such as the lack of in-person interaction and potential technical challenges. Despite these limitations, the successful execution of ICML 2020 demonstrates the potential of virtual conferences to maintain high standards of academic and professional engagement. The conference's initiatives in diversity and inclusion can serve as a model for other organizations, promoting more inclusive practices in the field of AI.
Recommendations
- ✓ Future conferences should consider hybrid formats that combine the benefits of virtual and in-person events.
- ✓ Continued emphasis on diversity and inclusion initiatives should be a priority for academic and professional organizations.
