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thank you so much for the introduction itamp;#39;s my great pleasure to be here at the open data science conference today and so iamp;#39;ll be sharing with you some of the recent exciting work around building reliable open world machine learning models that can detect out of distribution data and feel free to ask any question during the talk and if you do please go ahead and post in the uh the channel the qa channel and i will be addressing all the questions towards the end of the talk now letamp;#39;s get started so i would like to open up the talk using the following example imagine yourself trying to develop an app that can automatically classify and recognize the pictures of food taken and so it can show users some nutrition information and possible recipes that can be made with it and so when users go to grocery store they can just snap a photo and get some inspiration for what what to cook for dinner and to do so the typical standard workflow is to collect the trainin