Search Results for author: Maryam Tavakol

Found 4 papers, 2 papers with code

Toward Robust Uncertainty Estimation with Random Activation Functions

2 code implementations28 Feb 2023 Yana Stoyanova, Soroush Ghandi, Maryam Tavakol

Deep neural networks are in the limelight of machine learning with their excellent performance in many data-driven applications.

Uncertainty Quantification

Survey on Fair Reinforcement Learning: Theory and Practice

no code implementations20 May 2022 Pratik Gajane, Akrati Saxena, Maryam Tavakol, George Fletcher, Mykola Pechenizkiy

In this article, we provide an extensive overview of fairness approaches that have been implemented via a reinforcement learning (RL) framework.

Decision Making Fairness +3

Distantly Supervised Question Parsing

1 code implementation27 Sep 2019 Hamid Zafar, Maryam Tavakol, Jens Lehmann

The emergence of structured databases for Question Answering (QA) systems has led to developing methods, in which the problem of learning the correct answer efficiently is based on a linking task between the constituents of the question and the corresponding entries in the database.

Knowledge Graphs Question Answering +2

Cannot find the paper you are looking for? You can Submit a new open access paper.