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pro vyhledávání: '"Rajaram, Achyuta"'
Autor:
Shaham, Tamar Rott, Schwettmann, Sarah, Wang, Franklin, Rajaram, Achyuta, Hernandez, Evan, Andreas, Jacob, Torralba, Antonio
This paper describes MAIA, a Multimodal Automated Interpretability Agent. MAIA is a system that uses neural models to automate neural model understanding tasks like feature interpretation and failure mode discovery. It equips a pre-trained vision-lan
Externí odkaz:
http://arxiv.org/abs/2404.14394
To date, most discoveries of network subcomponents that implement human-interpretable computations in deep vision models have involved close study of single units and large amounts of human labor. We explore scalable methods for extracting the subgra
Externí odkaz:
http://arxiv.org/abs/2404.14349
Autor:
Woo, Kyoungwan, Rajaram, Achyuta
FREDSR is a GAN variant that aims to outperform traditional GAN models in specific tasks such as Single Image Super Resolution with extreme parameter efficiency at the cost of per-dataset generalizeability. FREDSR integrates fast Fourier transformati
Externí odkaz:
http://arxiv.org/abs/2211.16678