no code implementations • 15 May 2024 • Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi Kumar, Setayesh Radkani, Thomas H. Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian Paulun, Maria Ryskina, Ekin Akyurek, Ethan Wilcox, Nafisa Rashid, Leshem Chosen, Roger Levy, Evelina Fedorenko, Joshua Tenenbaum, Jacob Andreas
We present Elements of World Knowledge (EWOK), a framework for evaluating world modeling in language models by testing their ability to use knowledge of a concept to match a target text with a plausible/implausible context.
3 code implementations • 15 Jun 2021 • Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan
While current vision algorithms excel at many challenging tasks, it is unclear how well they understand the physical dynamics of real-world environments.
no code implementations • 23 Jul 2018 • R. T. Pramod, Harish Katti, S. P. Arun
Our vision is sharpest at the center of our gaze and becomes progressively blurry into the periphery.
no code implementations • CVPR 2016 • R. T. Pramod, S. P. Arun
Recent advances in neural networks have revolutionized computer vision, but these algorithms are still outperformed by humans.