Tools For Misusing GPT2, Tensorflow, and ML Unfairness
Journal Club
English - April 15, 2020 12:00 - 25 minutes - 29.7 MBMathematics Science Education computerscience machinelearning modelinterpretability Homepage Download Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Dark Secrets of Bert, Radioactive Data, and Vanishing Gradients
Next Episode: Adversarial Examples Protein Folding and Shapley Values
Today on the show, George leads a discussion about the Giant Language Test Room. Lan presents a news item about Setting Fairness Goals with TensorFlow Constrained Optimization Library. This library lets users configure and train machine learning problems based on multiple different metrics, making it easy to formulate and solve many problems of interest to the fairness community. Last but not least, Kyle discusses ML Unfairness, Juvenile Recidivism in Catalonia.