All Publications

2020

CBMM Funded
Y. - L. Kuo, Katz, B., and Barbu, A., Deep compositional robotic planners that follow natural language commands , in International Conference on Robotics and Automation (ICRA), Palais des Congrès de Paris, Paris, France, 2020.
CBMM Funded
G. Ben-Yosef, Kreiman, G., and Ullman, S., What can human minimal videos tell us about dynamic recognition models?, in International Conference on Learning Representations (ICLR 2020), Virtual Conference, 2020.PDF icon Authors' final version (516.09 KB)
CBMM Funded
I. Dasgupta, Schulz, E., Tenenbaum, J. B., and Gershman, S. J., A theory of learning to infer., Psychological Review, vol. 127, no. 3, pp. 412 - 441, 2020.
CBMM Funded
T. Eisape, Levy, R., Tenenabum, J. B., and Zaslavsky, N., Toward human-like object naming in artificial neural systems , in International Conference on Learning Representations (ICLR 2020), Bridging AI and Cognitive Science workshop, Virtual conference (due to Covid-19), 2020.
CBMM Funded
CBMM Funded
N. Zaslavsky, Hu, J., and Levy, R., Emergence of Pragmatic Reasoning From Least-Effort Optimization , in 13th International Conference on the Evolution of Language (EvoLang) , The conference was canceled due to Covid-19, 2020.
CBMM Funded
CBMM Funded
W. A. Freiwald, The neural mechanisms of face processing: cells, areas, networks, and models, Current Opinion in Neurobiology, vol. 60, pp. 184 - 191, 2020.
CBMM Funded
G. Kreiman and Serre, T., Beyond the feedforward sweep: feedback computations in the visual cortex, Ann. N.Y. Acad. Sci. | Special Issue: The Year in Cognitive Neuroscience, vol. 1464, no. 1, pp. 222-241, 2020.PDF icon gk7812.pdf (1.93 MB)
CBMM Funded
J. M. Hicks and McDermott, J. H., Segregation from Noise as Outlier Detection , in Association for Research in Otolaryngology, San Jose, CA, USA, 2020.
CBMM Funded

Pages