Zobrazeno 1 - 4
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pro vyhledávání: '"BACELLAR, ALAN T. L."'
Autor:
Nag, Shashank, Bacellar, Alan T. L., Susskind, Zachary, Jha, Anshul, Liberty, Logan, Sivakumar, Aishwarya, John, Eugene B., Kailas, Krishnan, Lima, Priscila M. V., Yadwadkar, Neeraja J., Franca, Felipe M. G., John, Lizy K.
Transformers are set to become ubiquitous with applications ranging from chatbots and educational assistants to visual recognition and remote sensing. However, their increasing computational and memory demands is resulting in growing energy consumpti
Externí odkaz:
http://arxiv.org/abs/2411.01818
Autor:
Bacellar, Alan T. L., Susskind, Zachary, Breternitz Jr., Mauricio, John, Eugene, John, Lizy K., Lima, Priscila M. V., França, Felipe M. G.
Publikováno v:
International Conference on Machine Learning (ICML) 2024
We introduce the Differentiable Weightless Neural Network (DWN), a model based on interconnected lookup tables. Training of DWNs is enabled by a novel Extended Finite Difference technique for approximate differentiation of binary values. We propose L
Externí odkaz:
http://arxiv.org/abs/2410.11112
Autor:
Susskind, Zachary, Arora, Aman, Miranda, Igor D. S., Bacellar, Alan T. L., Villon, Luis A. Q., Katopodis, Rafael F., de Araujo, Leandro S., Dutra, Diego L. C., Lima, Priscila M. V., Franca, Felipe M. G., Breternitz Jr., Mauricio, John, Lizy K.
The deployment of AI models on low-power, real-time edge devices requires accelerators for which energy, latency, and area are all first-order concerns. There are many approaches to enabling deep neural networks (DNNs) in this domain, including pruni
Externí odkaz:
http://arxiv.org/abs/2304.10618
Akademický článek
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