The Language of Fake News: Opening the Black-Box of Deep Learning Based Detectors by O'Brien, Nicole, Latessa, Sophia, Evangelopoulos, Georgios, Boix, Xavier

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The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions by D'Amario, Vanessa, Srivastava, Sanjana, Sasaki, Tomotake, Boix, Xavier

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The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions by D'Amario, Vanessa, Srivastava, Sanjana, Sasaki, Tomotake, Boix, Xavier

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Foveation-based Mechanisms Alleviate Adversarial Examples by Lou, Yan, Boix, Xavier, Roig, Gemma, Poggio, Tomaso, Zhao, Qi

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Transformer Module Networks for Systematic Generalization in Visual Question Answering by Yamada, Moyuru, D'Amario, Vanessa, Takemoto, Kentaro, Boix, Xavier, Sasaki, Tomotake

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Theory of Deep Learning III: explaining the non-overfitting puzzle by Poggio, Tomaso, Kawaguchi, Kenji, Liao, Qianli, Miranda, Brando, Rosasco, Lorenzo, Boix, Xavier, Hidary, Jack, Mhaskar, Hrushikesh

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Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results by Arend, Luke, Han, Yena, Schrimpf, Martin, Bashivan, Pouya, Kar, Kohitij, Poggio, Tomaso, DiCarlo, James J., Boix, Xavier

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Do Neural Networks for Segmentation Understand Insideness? by Villalobos, Kimberly, Štih, Vilim, Ahmadinejad, Amineh, Sundaram, Shobhita, Dozier, Jamell, Francl, Andrew, Azevedo, Frederico, Sasaki, Tomotake, Boix, Xavier

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On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations by Madan, Spandan, Henry, Timothy, Dozier, Jamell, Ho, Helen, Bhandari, Nishchal, Sasaki, Tomotake, Durand, Fredo, Pfister, Hanspeter, Boix, Xavier

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When and how convolutional neural networks generalize to out-of-distribution category–viewpoint combinations by Madan, Spandan, Henry, Timothy, Dozier, Jamell, Ho, Helen, Bhandari, Nishchal, Sasaki, Tomotake, Durand, Frédo, Pfister, Hanspeter, Boix, Xavier

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Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations by Sakai, Akira, Sunagawa, Taro, Madan, Spandan, Suzuki, Kanata, Katoh, Takashi, Kobashi, Hiromichi, Pfister, Hanspeter, Sinha, Pawan, Boix, Xavier, Sasaki, Tomotake

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Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations by Sakai, Akira, Sunagawa, Taro, Madan, Spandan, Suzuki, Kanata, Katoh, Takashi, Kobashi, Hiromichi, Pfister, Hanspeter, Sinha, Pawan, Boix, Xavier, Sasaki, Tomotake

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