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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