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Scientific Reports
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October 17, 2024
Multi-domain improves classification in out-of-distribution and data-limited scenarios for medical image analysis
Ece Ozkan, Xavier Boix
Communications Biology
|
March 7, 2025
Configural processing as an optimized strategy for robust object recognition in neural networks
Hojin Jang, Pawan Sinha, Xavier Boix
Frontiers in Computational Neuroscience
|
February 17, 2022
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions
Vanessa 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 Answering
Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, et al.
Scientific Reports
|
December 3, 2022
Recurrent connections facilitate symmetry perception in deep networks
Shobhita Sundaram, Darius Sinha, Matthew Groth, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
January 14, 2016
Learning to Predict Sequences of Human Visual Fixations
Ming Jiang, Xavier Boix, Gemma Roig, et al.
Neural Computation
|
August 19, 2021
Do Neural Networks for Segmentation Understand Insideness?
Kimberly Villalobos, Vilim Štih, Amineh Ahmadinejad, et al.
Neural Computation
|
October 16, 2023
Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations?
Hojin Jang, Syed Suleman Abbas Zaidi, Xavier Boix, et al.
Vision Research
|
January 31, 2023
Recognizing distant faces
Izzat N Jarudi, Ainsley Braun, Marin Vogelsang, 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 illuminations
Akira Sakai, Taro Sunagawa, Spandan Madan, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Scientific Reports
|
October 17, 2024
Multi-domain improves classification in out-of-distribution and data-limited scenarios for medical image analysis
Ece Ozkan, Xavier Boix
Communications Biology
|
March 7, 2025
Configural processing as an optimized strategy for robust object recognition in neural networks
Hojin Jang, Pawan Sinha, Xavier Boix
Frontiers in Computational Neuroscience
|
February 17, 2022
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions
Vanessa 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 Answering
Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, et al.
Scientific Reports
|
December 3, 2022
Recurrent connections facilitate symmetry perception in deep networks
Shobhita Sundaram, Darius Sinha, Matthew Groth, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
January 14, 2016
Learning to Predict Sequences of Human Visual Fixations
Ming Jiang, Xavier Boix, Gemma Roig, et al.
Neural Computation
|
August 19, 2021
Do Neural Networks for Segmentation Understand Insideness?
Kimberly Villalobos, Vilim Štih, Amineh Ahmadinejad, et al.
Neural Computation
|
October 16, 2023
Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations?
Hojin Jang, Syed Suleman Abbas Zaidi, Xavier Boix, et al.
Vision Research
|
January 31, 2023
Recognizing distant faces
Izzat N Jarudi, Ainsley Braun, Marin Vogelsang, 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 illuminations
Akira Sakai, Taro Sunagawa, Spandan Madan, et al.
Page
of 1