no code implementations • 23 Jun 2020 • Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David Kung, Rogerio Feris, Bishwaranjan Bhattacharjee
The typical way of conducting large scale NAS is to search for an architectural building block on a small dataset (either using a proxy set from the large dataset or a completely different small scale dataset) and then transfer the block to a larger dataset.
no code implementations • 21 Mar 2018 • Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal, Radha Poovendran
In order to conduct large scale experiments, we propose using the model accuracy on images with reversed brightness as a metric to evaluate the shape bias property.
no code implementations • 20 Mar 2017 • Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal, Radha Poovendran
To this end, we evaluate CNNs on negative images, since they share the same structure and semantics as regular images and humans can classify them correctly.