Zobrazeno 1 - 10
of 11 592
pro vyhledávání: '"Sanket AS"'
Autor:
Zhang, Ruisi, Liu, Tianyu, Feng, Will, Gu, Andrew, Purandare, Sanket, Liang, Wanchao, Massa, Francisco
Distributed training of large models consumes enormous computation resources and requires substantial engineering efforts to compose various training techniques. This paper presents SimpleFSDP, a PyTorch-native compiler-based Fully Sharded Data Paral
Externí odkaz:
http://arxiv.org/abs/2411.00284
An important open question for the current generation of highly controllable quantum devices is understanding which phases can be realized as stable steady-states under local quantum dynamics. In this work, we show how robust steady-state phases with
Externí odkaz:
http://arxiv.org/abs/2410.21402
While transformers have been at the core of most recent advancements in sequence generative models, their computational cost remains quadratic in sequence length. Several subquadratic architectures have been proposed to address this computational iss
Externí odkaz:
http://arxiv.org/abs/2410.12982
Autor:
Lehmann, Terence, Berger, Lukas, Howarth, Thomas L., Gauding, Michael, Girhe, Sanket, Dally, Bassam B., Pitsch, Heinz
Two-dimensional direct numerical simulations of planar laminar premixed ammonia/hydrogen/air flames are conducted for a wide range of equivalence ratios, hydrogen ($\rm H_2$) fractions in the fuel blend, pressures, and unburned temperatures to study
Externí odkaz:
http://arxiv.org/abs/2410.11466
Autor:
Liang, Wanchao, Liu, Tianyu, Wright, Less, Constable, Will, Gu, Andrew, Huang, Chien-Chin, Zhang, Iris, Feng, Wei, Huang, Howard, Wang, Junjie, Purandare, Sanket, Nadathur, Gokul, Idreos, Stratos
The development of large language models (LLMs) has been instrumental in advancing state-of-the-art natural language processing applications. Training LLMs with billions of parameters and trillions of tokens require sophisticated distributed systems
Externí odkaz:
http://arxiv.org/abs/2410.06511
Publikováno v:
In: Barney Smith, E.H., Liwicki, M., Peng, L. (eds) Document Analysis and Recognition - ICDAR 2024. ICDAR 2024. Lecture Notes in Computer Science, vol 14804. Springer, Cham
General-purpose ID, or travel, document image- and video-based verification systems have yet to achieve good enough performance to be considered a solved problem. There are several factors that negatively impact their performance, including low-resol
Externí odkaz:
http://arxiv.org/abs/2410.02456
Publikováno v:
Connected and Autonomous Vehicles in Smart Cities. CRC Press, 2020. 133-172
Traffic management and on-road safety have been a concern for the transportation authorities and the engineering communities for many years. Most of the implemented technologies for intelligent highways focus on safety measures and increased driver a
Externí odkaz:
http://arxiv.org/abs/2410.02785
Autor:
Kamble, Shalaka A., Karmakar, Soumen, Bhopale, Somnath R., Jangale, Sanket D., Gadke, Neha P., Ghorui, Srikumar, Bhoraskar, S. V., More, M. A., Mathe, V. L.
Herein, we report a case study in which we saw the spontaneous conversion of commercial bulk graphite into LaB6 decorated carbon nanotubes (CNTs) under normal atmospheric conditions. The feedstock graphite was used as a hollow cylindrical anode fille
Externí odkaz:
http://arxiv.org/abs/2409.06410
Although foundational vision-language models (VLMs) have proven to be very successful for various semantic discrimination tasks, they still struggle to perform faithfully for fine-grained categorization. Moreover, foundational models trained on one d
Externí odkaz:
http://arxiv.org/abs/2409.01835
The proliferation of scene text in both structured and unstructured environments presents significant challenges in optical character recognition (OCR), necessitating more efficient and robust text spotting solutions. This paper presents FastTextSpot
Externí odkaz:
http://arxiv.org/abs/2408.14998