Frame.ai is a startup delivering analytics on CRM exchanges. I researched the accuracy of FastAI’s ULMFiT in low-data regimes and wrote a blog post about it with Jesse St. Charles at Frame.
PyTorchFastAI
Learning More with Less by @DataLives https://t.co/hYMQN3DDZ4
— Jeremy Howard (@jeremyphoward) December 10, 2018
Great to see folks doing additional ablation experiments beyond those we already did in the ULMFiT paper. This work shows that even just a little unlabeled data helps a lot!
Did you see that? Jeremy Howard from FastAI rewteeted and complemented our work! Jesse had the vision and the research experience, I had spent more time with FastAI's library and FloydHub's services, so I kickstarted the GitHub repo and blog post. Jesse perfected it and guaranteed that our science was rigorous!