Search Results for author: Daniel L. Yamins

Found 2 papers, 0 papers with code

Learning to Play With Intrinsically-Motivated, Self-Aware Agents

no code implementations NeurIPS 2018 Nick Haber, Damian Mrowca, Stephanie Wang, Li F. Fei-Fei, Daniel L. Yamins

We demonstrate that this policy causes the agent to explore novel and informative interactions with its environment, leading to the generation of a spectrum of complex behaviors, including ego-motion prediction, object attention, and object gathering.

motion prediction Object

Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream

no code implementations NeurIPS 2013 Daniel L. Yamins, Ha Hong, Charles Cadieu, James J. DiCarlo

In this work, we construct models of the ventral stream using a novel optimization procedure for category-level object recognition problems, and produce RDMs resembling both macaque IT and human ventral stream.

Object Object Recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.