A Novel Methodology For Crowdsourcing AI Models in an Enterprise
Not on the map. Why?
Abstract (arXiv)
The evolution of AI is advancing rapidly, creating both challenges and opportunities for industry-community collaboration. In this work, we present a novel methodology aiming to facilitate this collaboration through crowdsourcing of AI models. Concretely, we have implemented a system and a process that any organization can easily adopt to host AI competitions. The system allows them to automatically harvest and evaluate the submitted models against in-house proprietary data and also to incorporate them as reusable services in a product.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 10 references that are in the map. First posted on arXiv 22 Mar 2021.
Builds on
3 of 10 references.
References · 3
- 2019The Deepfake Detection Challenge (DFDC) Preview Datasetcited by 209
- 2018Microsoft Malware Classification Challengecited by 46
- 2019EvalAI: Towards Better Evaluation Systems for AI Agentscited by 34
Built on by
Not cited yet.