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First-order relativistic conformal hydrodynamics in a general (hydrodynamic) frame is characterized by a shear viscosity coefficient and two UV-regulator parameters. Within a certain range of these parameters, the equilibrium is stable and propagatio
Externí odkaz:
http://arxiv.org/abs/2212.14619
Transferring knowledge from one domain to another is of practical importance for many tasks in natural language processing, especially when the amount of available data in the target domain is limited. In this work, we propose a novel few-shot approa
Externí odkaz:
http://arxiv.org/abs/2206.07841
Autor:
Adelani, David Ifeoluwa, Zhang, Miaoran, Shen, Xiaoyu, Davody, Ali, Kleinbauer, Thomas, Klakow, Dietrich
Documents as short as a single sentence may inadvertently reveal sensitive information about their authors, including e.g. their gender or ethnicity. Style transfer is an effective way of transforming texts in order to remove any information that ena
Externí odkaz:
http://arxiv.org/abs/2109.09133
We propose a new method of program learning in a Domain Specific Language (DSL) which is based on gradient descent with no direct search. The first component of our method is a probabilistic representation of the DSL variables. At each timestep in th
Externí odkaz:
http://arxiv.org/abs/2012.03925
Machine Learning approaches to Natural Language Processing tasks benefit from a comprehensive collection of real-life user data. At the same time, there is a clear need for protecting the privacy of the users whose data is collected and processed. Fo
Externí odkaz:
http://arxiv.org/abs/2008.03101
Differentially private stochastic gradient descent (DPSGD) is a variation of stochastic gradient descent based on the Differential Privacy (DP) paradigm, which can mitigate privacy threats that arise from the presence of sensitive information in trai
Externí odkaz:
http://arxiv.org/abs/2006.10919
Publikováno v:
In Neurocomputing 7 June 2022 489:323-332
Publikováno v:
Phys. Rev. C 98, 024906 (2018)
The distribution of flow harmonics in heavy ion experiment can be characterized by standardized cumulants. We first model the ellipticity and power parameters of the elliptic-power distribution by employing MC-Glauber model. Then we use the elliptic-
Externí odkaz:
http://arxiv.org/abs/1704.06295
Publikováno v:
Phys. Rev. D 96, 126002 (2017)
We study the long wavelength excitations in rotating QCD fluid in presence of an external magnetic field at finite vector and axial charge densities. We consider the fluctuations of vector and axial charge currents coupled to energy and momentum fluc
Externí odkaz:
http://arxiv.org/abs/1612.08614