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Frontiers in Computational Neuroscience|February 17, 2022
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input DimensionsVanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|August 6, 2024
Transformer Module Networks for Systematic Generalization in Visual Question AnsweringMoyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, et al.Scientific Reports|December 3, 2022
Recurrent connections facilitate symmetry perception in deep networksShobhita Sundaram, Darius Sinha, Matthew Groth, et al.Neural Computation|August 19, 2021
Do Neural Networks for Segmentation Understand Insideness?Kimberly Villalobos, Vilim Štih, Amineh Ahmadinejad, et al.Neural Networks : the Official Journal of the International Neural Network Society|September 2, 2022
Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminationsAkira Sakai, Taro Sunagawa, Spandan Madan, et al.Pageof 1