62 citations · 264 across the 21 of their papers we have counts for
22 papers
On the correlation functions in stable first-order relativistic hydrodynamics
Navid Abbasi, Ali Davody, Sara Tahery
First-order relativistic conformal hydrodynamics in a general (hydrodynamic) frame is characterized by a shear viscosity coefficient and two UV-regulator parameters. Within a certa…
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models
Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer +1
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 targ…
Preventing Author Profiling through Zero-Shot Multilingual Back-Translation
David Ifeoluwa Adelani, Miaoran Zhang, Xiaoyu Shen +3
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…
SuperCoder: Program Learning Under Noisy Conditions From Superposition of States
Ali Davody, Mahmoud Safari, Răzvan V. Florian
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 pro…
Privacy Guarantees for De-identifying Text Transformations
David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer +1
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 protect…
On the effect of normalization layers on Differentially Private training of deep Neural networks
Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer +1
Differentially private stochastic gradient descent (DPSGD) is a variation of stochastic gradient descent based on the Differential Privacy (DP) paradigm, which can mitigate privacy…