Search Results for author: Ali Davody

Found 5 papers, 3 papers with code

TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models

1 code implementation15 Jun 2022 Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer, Dietrich Klakow

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.

Domain Adaptation named-entity-recognition +1

Preventing Author Profiling through Zero-Shot Multilingual Back-Translation

1 code implementation EMNLP 2021 David Ifeoluwa Adelani, Miaoran Zhang, Xiaoyu Shen, Ali Davody, Thomas Kleinbauer, Dietrich Klakow

Documents as short as a single sentence may inadvertently reveal sensitive information about their authors, including e. g. their gender or ethnicity.

Style Transfer Text Style Transfer +1

SuperCoder: Program Learning Under Noisy Conditions From Superposition of States

no code implementations7 Dec 2020 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.

Privacy Guarantees for De-identifying Text Transformations

no code implementations7 Aug 2020 David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer, Dietrich Klakow

Machine Learning approaches to Natural Language Processing tasks benefit from a comprehensive collection of real-life user data.

BIG-bench Machine Learning De-identification +5

On the effect of normalization layers on Differentially Private training of deep Neural networks

1 code implementation19 Jun 2020 Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer, Dietrich Klakow

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 training data.

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