The Computer and Software Engineering Dept. at Polytechnique Montreal is hiring for a tenure-track faculty position in Trustworthy AI! Eligible candidates will be nominated to become affiliated with Mila - Institut québécois d'IA! Link to the official call in the next tweet! Deadline: 8 April

Our recent AAAI paper shows that certain attention heads in transformers are responsible for bias and pruning them improves fairness! In collaboration with Goncalo Mordido, Samira Shabanian , Ioana Baldini, and Sarath Chandar Paper 📰: arxiv.org/pdf/2312.15398…

What is the best way of switching between controllers in Reset Free RL? Read this thread (and come by our poster this Friday morning at ICLR, Hall B) to find out! #ICLR2024 1/n

🚨Is solving complex tasks still challenging for your RL agent? 👑 Subgoal Distillation: A Method to Improve Small Language Agents Paper: arxiv.org/abs/2405.02749 w/ Elias Stengel-Eskin Marc-Alexandre Côté Sarath Chandar

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Our ACL main paper explains why fairness metrics don't correlate and proposes CAIRO to make them correlate! Extremely grateful to Gonçalo Mordido, Ioana Baldini, and Sarath Chandar! Paper📰:arxiv.org/pdf/2406.05918

Are you a working professional looking to get started with machine learning and AI? I am teaching a 2-day master class in ML foundations in August! This is an ideal training program for doctors, lawyers, policymakers, software engineers, and financial analysts who want to learn

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🚀 Introducing VisMin arxiv.org/abs/2407.16772 – a benchmark for Visual Minimal Change Understanding! Evaluates VLMs' fine-grained understanding of objects, attributes, relationships, and counting. Code, models & datasets at vismin.net 📷📷[1/13]🧵

If you want to know why fairness metrics don’t agree, and how to make them correlate with CAIRO, come to our ACL poster in Bangkok (room A1) on August 12 from 4:00 pm to 5:30 pm! arxiv.org/abs/2406.05918