Peter Gehler

Excited to share that my internship work @AmazonScience was accepted at WACV 2023! Do you want to adapt your computer vision model to a new distribution while using ~5-10x less data? Check out TeST: a 2 stage Test-Time adaptation model! @pegehler @FrancescoLocat8 Bernt Schiele

Can #NeuralNetworks generalize to factors of variation present in their training data? We investigated this with a large-scale study and showed limited generalization capabilities. Benchmark: github.com/bethgelab/InDo… Paper: arxiv.org/pdf/2107.08221… #MachineLearning #AI [1/6]

What's the role of pre-trained representations for RL and how important is this for OOD generalization? We attempted to find some answers on that! “Representation Learning for Out-of-Distribution Generalization in Reinforcement Learning” arxiv.org/abs/2107.05686 [1/5]

High quality in industrial production requires accurate visual inspection to remove defective parts. We develop a method, trained on normal images only, which achieves less than half the error of previous methods. @awscloud @AmazonScience Link: arxiv.org/abs/2106.08265… [1/4]

The State-Of-The-Art in AI changes all the time. What do you do if you made predictions on some data and someone releases a better model? We develop a probabilistic approach for backward-compatible prediction updates. @awscloud @AmazonScience draft: arxiv.org/pdf/2107.01057…

@gxr great

@gxr arriving at ac hotel forum in 5 minutes

@gxr same here. Wanna go for a beer?

Getting crowded up here

Biology afternoon party.

Javiers friday afternoon party.

This is why you should go ride a bike: vimeo.com/39819641

@eerac nice breakfast at cafe hirsch, didn't know that. Wilkommen zurück

@eerac cake is gone