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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Title: EvalAI: Evaluating AI Systems at Scale
Abstract: Artificial Intelligence research has progressed tremendously in the last few years. There has been the introduction of several new multi-modal datasets and tasks due to which it is becoming much harder to compare new algorithms with existing ones. To solve this problem, this thesis introduces EvalAI, an open source platform for evaluating and comparing machine learning and artificial intelligence algorithms at scale. This platform is built to provide an open source, standardized, scalable solution for evaluating learned models using automatic metrics as well as with human-in-the-loop evaluation. By simplifying and standardizing the process of benchmarking, EvalAI seeks to lower the barrier to entry for participating in the global scientific effort to push the frontiers of machine learning and artificial intelligence, increasing the rate of measurable progress in these communities.
Date and Venue Details:
Date: 30th November 2018
Time: 1 pm to 2 pm
Venue: CCB 247
