Sarath Chandar Anbil Parthipan
, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou and Yoshua Bengio
Article (2019)
Document published while its authors were not affiliated with Polytechnique Montréal
An external link is available for this item
| PolyPublie URL: | https://publications.polymtl.ca/46832/ |
|---|---|
| Journal Title: | AAAI Conference on Artificial Intelligence (vol. 33, no. 1) |
| DOI: | 10.1609/aaai.v33i01.33013280 |
| Official URL: | https://doi.org/10.1609/aaai.v33i01.33013280 |
| Date Deposited: | 18 Apr 2023 15:01 |
| Last Modified: | 08 Apr 2025 07:13 |
| Cite in APA 7: | Anbil Parthipan, S. C., Sankar, C., Vorontsov, E., Kahou, S. E., & Bengio, Y. (2019). Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. AAAI Conference on Artificial Intelligence, 33(1), 3280-3287. https://doi.org/10.1609/aaai.v33i01.33013280 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
