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Bhargav Kanuparthi
Bhargav Kanuparthi
Deep Genomics
Verified email at deepgenomics.com
Title
Cited by
Cited by
Year
h-detach: Modifying the LSTM gradient towards better optimization
D Arpit, B Kanuparthi, G Kerg, NR Ke, I Mitliagkas, Y Bengio
arXiv preprint arXiv:1810.03023, 2018
512018
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
G Kerg, B Kanuparthi, AG ALIAS PARTH GOYAL, K Goyette, Y Bengio, ...
Advances in Neural Information Processing Systems 33, 19443-19454, 2020
282020
An RNA foundation model enables discovery of disease mechanisms and candidate therapeutics
A Celaj, AJ Gao, TTY Lau, EM Holgersen, A Lo, V Lodaya, CB Cole, ...
bioRxiv, 2023.09. 20.558508, 2023
212023
Discovering connotations as labels for weakly supervised image-sentence data
A Mogadala, B Kanuparthi, A Rettinger, Y Sure-Vetter
Companion Proceedings of the The Web Conference 2018, 379-386, 2018
12018
Towards better understanding and improving optimization in recurrent neural networks
B Kanuparthi
2020
Learning Long-term Dependencies Using Cognitive Inductive Biases in Self-attention RNNs
G Kerg, B Kanuparthi, A Goyal, K Goyette, Y Bengio, G Lajoie
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Articles 1–6