ICLR 2021 (Day 1)

2021/05/04

I’m virtually attending ICLR 2021 so I can tip my toes back into ML. Here are a few papers I found interesting on my exploration on day 1 (some of them appear as posters or oral sessions on later days):

The Traveling Observer Model 🎠

Link

This approach enables multi-task learning by using the same model for all tasks.

🤩 Result On the UCI 121 dataset which has a set of 121 classification tasks, TOM performs very well compared to other approaches.

Key Points

Next Steps I’m curious to see if this approach can be used for learning on Multimodal data. There’s a great deal of shared knowledge for such inputs in those scenarios.

Dataset Inference (Or how to spot Model thiefs)

Link

Coming Soon

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