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Bias Mitigation
Self-Paced Fair Ranking with Loss as a Proxy for Bias
Self-paced fair ranking using loss as a proxy for bias.
Hai Son Le
,
Shirin Seyedsalehi
,
Morteza Zihayat
,
Ebrahim Bagheri
Bias-Aware Curriculum Sampling For Fair Ranking
Bias-aware curriculum sampling for fair ranking.
Shirin Seyedsalehi
,
Hai Son Le
,
Morteza Zihayat
,
Ebrahim Bagheri
Gender disentangled representation learning in neural rankers
Gender disentangled representation learning in neural rankers for bias mitigation.
Shirin Seyedsalehi
,
Sara Salamat
,
Negar Arabzadeh
,
Sajad Ebrahimi
,
Morteza Zihayat
,
Ebrahim Bagheri
Who Gets to be an Expert? The Hidden Bias in Expert Finding
Investigating hidden biases in expert finding systems.
Seyedehfatemeh Karimi
,
Havva Alizadeh Noughabi
,
Fattane Zarrinkalam
,
Morteza Zihayat
De-biasing relevance judgements for fair ranking
Methods for de-biasing relevance judgements for fair ranking.
Amin Bigdeli
,
Negar Arabzadeh
,
Shirin Seyedsalehi
,
Bhaskar Mitra
,
Morteza Zihayat
,
Ebrahim Bagheri
A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
Light-weight strategy for restraining gender biases in neural rankers.
Amin Bigdeli
,
Negar Arabzadeh
,
Shirin Seyedsalehi
,
Morteza Zihayat
,
Ebrahim Bagheri
A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
Light-weight strategy for restraining gender biases in neural rankers.
Amin Bigdeli
,
Negar Arabzadeh
,
Shirin Seyedsalehi
,
Morteza Zihayat
,
Ebrahim Bagheri
Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases
Bias-aware fair neural ranking for addressing stereotypical gender biases.
Shirin Seyedsalehi
,
Amin Bigdeli
,
Negar Arabzadeh
,
Bhaskar Mitra
,
Morteza Zihayat
,
Ebrahim Bagheri
Gender fairness in information retrieval systems
Approaches for ensuring gender fairness in information retrieval systems.
Amin Bigdeli
,
Negar Arabzadeh
,
Shirin Seyedsalehi
,
Morteza Zihayat
,
Ebrahim Bagheri
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