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Vanessa D'Amario
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2020 – today
- 2024
- [j2]Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix:
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [i5]Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix:
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering. CoRR abs/2309.08798 (2023) - 2022
- [j1]Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki
, Xavier Boix:
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions. Frontiers Comput. Neurosci. 16: 760085 (2022) - [i4]Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki:
Transformer Module Networks for Systematic Generalization in Visual Question Answering. CoRR abs/2201.11316 (2022) - 2021
- [c5]Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman:
Frivolous Units: Wider Networks Are Not Really That Wide. AAAI 2021: 6921-6929 - [c4]Vanessa D'Amario, Tomotake Sasaki, Xavier Boix:
How Modular should Neural Module Networks Be for Systematic Generalization? NeurIPS 2021: 23374-23385 - [i3]Vanessa D'Amario, Tomotake Sasaki, Xavier Boix:
How Modular Should Neural Module Networks Be for Systematic Generalization? CoRR abs/2106.08170 (2021) - [i2]Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix:
The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions. CoRR abs/2107.06409 (2021) - 2020
- [b1]Vanessa D'Amario:
Machine Learning for Understanding Focal Epilepsy. University of Genoa, Italy, 2020
2010 – 2019
- 2019
- [i1]Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf
, Kasper Vinken, Gabriel Kreiman:
Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks. CoRR abs/1912.04783 (2019) - 2018
- [c3]Vanessa D'Amario, Gabriele Arnulfo, Lino Nobili, Annalisa Barla
:
Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings. CIBB 2018: 69-79 - [c2]Vanessa D'Amario, Federico Tomasi, Veronica Tozzo, Gabriele Arnulfo, Annalisa Barla, Lino Nobili:
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy. MLHC 2018: 348-382 - 2017
- [c1]Veronica Tozzo, Vanessa D'Amario, Annalisa Barla
:
Hey there's DALILA: a DictionAry LearnIng LibrAry. ICCSW 2017: 6:1-6:14
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last updated on 2024-08-10 01:21 CEST by the dblp team
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