The International Conference on Learning Representations (ICLR) is a renowned conference that focuses on deep learning and representation learning. It serves as a pivotal platform for researchers, practitioners, and students to share their latest findings, innovations, and insights in the field of artificial intelligence and machine learning. The conference features a wide range of activities including paper presentations, workshops, tutorials, and poster sessions, fostering a collaborative environment for the advancement of AI technologies.
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3.5 pages per visit
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Allows researchers to submit their papers for peer review and potential presentation at the conference.
Interactive sessions focusing on specific topics within AI and machine learning, led by experts in the field.
Educational sessions designed to provide attendees with foundational knowledge or advanced skills in specific areas of AI.
Opportunities for researchers to present their work in a visual format, facilitating one-on-one discussions with attendees.
Presentations by leading figures in AI and machine learning, sharing insights and visions for the future of the field.
Organized gatherings to encourage collaboration and exchange of ideas among conference participants.
Options for remote participation, making the conference accessible to a global audience.
A transparent review system that allows for constructive feedback and discussion on submitted papers.
The conference location varies each year, with past venues including cities in North America, Europe, and Asia.
ICLR is organized by a committee of leading researchers and professionals in the field of AI and machine learning.
The conference is supported by various academic institutions, tech companies, and research organizations.
ICLR recognizes outstanding contributions with awards for best papers, posters, and presentations.
ICLR encourages community involvement through volunteer opportunities, mentorship programs, and social media engagement.
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