Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma and Sarath Chandar Anbil Parthipan
Paper (2022)
An external link is available for this item| Department: | Department of Computer Engineering and Software Engineering |
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| ISBN: | 9781577358763 |
| PolyPublie URL: | https://publications.polymtl.ca/52626/ |
| Conference Title: | 36th AAAI Conference on Artificial Intelligence (AAAI 2022) |
| Conference Date(s): | 2022-02-22 - 2022-03-01 |
| DOI: | 10.1609/aaai.v36i1.19938 |
| Official URL: | https://doi.org/10.1609/aaai.v36i1.19938 |
| Date Deposited: | 18 Apr 2023 14:58 |
| Last Modified: | 08 Apr 2025 14:40 |
| Cite in APA 7: | Faramarzi, M., Amini, M., Badrinaaraayanan, A., Verma, V., & Anbil Parthipan, S. C. (2022, February). PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks [Paper]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). https://doi.org/10.1609/aaai.v36i1.19938 |
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