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yeah yes got it um all right thank you for inviting me to the talk and thank you all for coming um the work that iamp;#39;m about to present to you is work that iamp;#39;ve done in collaboration with folks at google brain including alex de moore who is one of the panelists all right all right here we go uh iamp;#39;m going to quickly give you an overview of the whole talk so that you can place this work in sort of a sea of related work um the narrative that weamp;#39;ve seen in the last few years has been that we can build these super accurate models and specifically deep learning deep neural networks that are great at making these predictions but what weamp;#39;ve seen is that theyamp;#39;re increasingly reliant on shortcuts and for now weamp;#39;ll say that shortcuts are spurious correlations that exist in the data and when these various correlations break the model is no longer able to give these like stellar accuracies that we see at training time so for example weamp;#39;r
