8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Toward Robust Uncertainty Estimation with Random Activation Functions
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. However, they can lead to inaccurate predictions wh…
cs.LG2022★ 8 cited
Survey on Fair Reinforcement Learning: Theory and Practice
Pratik Gajane, Akrati Saxena, Maryam Tavakol +2
Fairness-aware learning aims at satisfying various fairness constraints in addition to the usual performance criteria via data-driven machine learning techniques. Most of the resea…
cs.LG2019
Distantly Supervised Question Parsing
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…