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Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head

One unexpected technique that emerged in recent years consists in traini...

DayDreamer: World Models for Physical Robot Learning

To solve tasks in complex environments, robots need to learn from experi...

Visualizing and Understanding Self-Supervised Vision Learning

Self-Supervised vision learning has revolutionized deep learning, becomi...

SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving

Self-supervised learning (SSL) is an emerging technique that has been su...

Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction

The unparalleled ability of machine learning algorithms to learn pattern...