Adversarial Examples that Fool both Computer Vision and Time-Limited Humans

Adversarial examples trained on an ensemble of CNNs with a retinal preprocessing layer reduce the accuracy of time-limited humans in a two alternative forced choice task.

Toddler-Inspired Visual Object Learning

Computer vision models trained on data obtained from head-mounted cameras on children performs better than data from adults.

Automatic Goal Generation for Reinforcement Learning Agents

Applies curriculum learning to a RL context to achieve policies.