Xavier Boix - Computer Vision Lab, ETH Zurich, Switzerland

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论文共 49 篇作者统计合作学者相似作者

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Modularity Trumps Invariance for Compositional Robustness

Ian Mason, Anirban Sarkar,Tomotake Sasaki,Xavier Boix

CoRR (2023)

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D3: Data Diversity Design for Systematic Generalization in Visual Question Answering

Amir Rahimi,Vanessa D'Amario,Moyuru Yamada, Kentaro Takemoto,Tomotake Sasaki,Xavier Boix

arxiv（2023）

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Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts

Anirban Sarkar, Matthew Groth, Ian Mason, Tomotake Sasaki,Xavier Boix

arxiv（2023）

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Recurrent connections facilitate symmetry perception in deep networks

Shobhita Sundaram, Darius Sinha, Matthew Groth, Tomotake Sasaki,Xavier Boix

Sci Rep（2022）

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When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations

Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari,Tomotake Sasaki,Fredo Durand,Hanspeter Pfister,Xavier Boix

NATURE MACHINE INTELLIGENCE（2022）

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The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions

Vanessa D'Amario,Sanjana Srivastava,Tomotake Sasaki,Xavier Boix

FRONTIERS IN COMPUTATIONAL NEUROSCIENCE（2022）

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Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations

Akira Sakai, Taro Sunagawa,Spandan Madan,Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi,Hanspeter Pfister,Pawan Sinha,Xavier Boix,Tomotake Sasaki

Neural Networks（2022）

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When and how convolutional neural networks generalize to out-of-distribution category–viewpoint combinations

Madan, Spandan, Henry, Timothy, Dozier, Jamell, Ho, Helen, Bhandari, Nishchal,Sasaki, Tomotake,Durand, Frédo,Pfister, Hanspeter,Boix, Xavier

Nature Machine Intelligence（2022）

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Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers

Spandan Madan, Tomotake Sasaki,Tzu-Mao Li,Xavier Boix,Hanspeter Pfister

CoRR (2021)

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Do Neural Networks for Segmentation Understand Insideness

Kimberly Villalobos,Vilim Stih, Amineh Ahmadinejad,Shobhita Sundaram, Jamell Dozier,Andrew Francl,Frederico Azevedo,Tomotake Sasaki,Xavier Boix

NEURAL COMPUTATION（2021）

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