Differences between deep neural networks and human perception

Data Sources 101

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations

Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions

Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation

Modeling other minds: Bayesian inference explains human choices in group decision-making

This object-recognition dataset stumped the world’s best computer vision models

Using computers to view the unseen

Distribution-Independent PAC Learning of Halfspaces with Massart Noise

Uniform convergence may be unable to explain generalization in deep learning