About ai workshops
About ai workshops
Blog Article
We invite high-good quality paper submissions of a theoretical and experimental nature on generative AI subjects together with, although not limited to, the following:
Code as well as other supplementary components can optionally be submitted; if working with GitHub, please make certain that the repository is nameless and has no data, like commit messages, that should crack anonymity.
The workshop is open to all registered participants. In the celebration of superior need, precedence will be specified to authors of approved papers.
This one-working day workshop will contain invited talks from keynote speakers, and oral/poster presentations of your accepted papers.
Impression analysis. Research assessing the influence of AI for schooling interventions on Discovering, academic, and career outcomes;
We invite submissions of prolonged abstracts (up to three internet pages) presenting the newest and finest research, case research, or placement papers relevant for the workshop topics. Submissions really should Keep to the AAAI formatting recommendations.
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We motivate submissions less than just one of those subjects of fascination, but we also welcome other appealing and appropriate analysis for preparing very good knowledge.
The kickoff AI Workshop, Checking out AI Trustworthiness, occurred on August 6, 2020. A report to the discussions is thanks out Soon. A recording in the workshop can be found within the celebration website page.
Q&A with AI Specialists: A chance for members to talk to questions and delve further into subject areas of fascination.
The workshop are going to be an entire-day workshop with a mixture of keynotes, contributed talks, concentrated conversations, and poster classes. The morning session will consist of talks and conversations regarding the worries of decision-creating and Finding out depending on cognitive modeling at cooperative MAS and AI remedies’ eyesight.
The Artificial Intelligence with Causal Technologies (AICT) workshop aims to debate latest innovations in causal methodology, including novel causal discovery and causal inference approaches, and also strategies for downstream causal responsibilities for instance causal representation learning, causal reinforcement Studying, causal fairness, etc. We will even investigate how these developments in the causal Neighborhood can add to various subfields of website AI including recommender methods, normal language processing, Laptop vision, and so on.
The workshop might be a a person-working day function, using an anticipated participation of about 50-60 attendees. It will start with an opening remark, accompanied by investigation paper displays focusing on SDU each morning session. The afternoon session will spotlight the latest developments in VRD, showcasing a investigation track in addition to a leaderboard monitor focused on structural knowledge in industrial experiences.
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