Part of The Israel Statistical Association workshop: Explainable AI (XAI) workshop Title: Explaining visual understanding: Learn to reason about the perceived world. Speaker: Prof. Gal Chechik Abstract: AI aims to build systems that can interact with their environment, with people and with other agents in the real world. This vision poses hard algorithmic challenges for ... Read more

Talk at AI For Human Languages (free student tickets available for biu students - talk to Reut) Title: What's wrong with Hebrew NLP? And How to Make it Right Speaker: Prof. Reut Tsarfaty The ability to automatically process massive volumes of unstructured texts and turn them into structured information is key to many success stories ... Read more

Title: Differentially Private Ordinary Least Squares Abstract: Linear regression is one of the most prevalent techniques in machine learning; however, it is also common to use linear regression for its explanatory capabilities rather than label prediction. Ordinary Least Squares (OLS) is often used in statistics to establish a correlation between an attribute (e.g. gender) and ... Read more