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Filters: Author is Xavier Boix [Clear All Filters]
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations. (2022).
CBMM-Memo-119.pdf (31.08 MB)
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Transformer Module Networks for Systematic Generalization in Visual Question Answering. (2022).
CBMM-Memo-121.pdf (1.06 MB)
version 2 (3/22/2023) (1.33 MB)
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Frivolous Units: Wider Networks Are Not Really That Wide. AAAI 2021 (2021). at <https://dblp.org/rec/conf/aaai/CasperBDGSVK21.html>
1912.04783.pdf (6.69 MB)
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On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations. (2020).
CBMM-Memo-111.pdf (9.76 MB)
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Do Neural Networks for Segmentation Understand Insideness?. (2020).
CBMM-Memo-105.pdf (4.63 MB)
CBMM Memo 105 v2 (July 2, 2020) (3.2 MB)
CBMM Memo 105 v3 (January 25, 2022) (8.33 MB)
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Can Deep Neural Networks Do Image Segmentation by Understanding Insideness?. (2018).
CBMM-Memo-095.pdf (1.96 MB)
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The Language of Fake News: Opening the Black-Box of Deep Learning Based Detectors. workshop on "AI for Social Good", NIPS 2018 (2018). at <http://hdl.handle.net/1721.1/120056>
fake-news-paper-NIPS.pdf (147.36 KB)
fake-news-paper-NIPS_2018_v2.pdf (147.36 KB)
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Active Video Summarization: Customized Summaries via On-line Interaction. AAAI Conference on Artificial Intelligence (2017).
21-Garcia-del-Molino-14856.pdf (413.77 KB)
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Eccentricity Dependent Deep Neural Networks for Modeling Human Vision. Vision Sciences Society (2017).
Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision. AAAI Spring Symposium Series, Science of Intelligence (2017). at <https://www.aaai.org/ocs/index.php/SSS/SSS17/paper/view/15360>
paper.pdf (963.87 KB)
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Theory of Deep Learning III: explaining the non-overfitting puzzle. (2017).
CBMM-Memo-073.pdf (2.65 MB)
CBMM Memo 073 v2 (revised 1/15/2018) (2.81 MB)
CBMM Memo 073 v3 (revised 1/30/2018) (2.72 MB)
CBMM Memo 073 v4 (revised 12/30/2018) (575.72 KB)
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Foveation-based Mechanisms Alleviate Adversarial Examples. (2016).
cbmm_memo_044.pdf (11.48 MB)
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