publications

publications by categories in reversed chronological order.

2024

  1. Preprint
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    Fairness and Bias Mitigation in Computer Vision: A Survey
    Sepehr Dehdashtian*, Ruozhen He*, Yi Li, Guha Balakrishnan, Nuno Vasconcelos, Vicente Ordonez, and Vishnu Naresh Boddeti
    Jul 2024
  2. FAccT’24
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    The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models
    Abeba Birhane*, Sepehr Dehdashtian*, Vinay Uday Prabhu, and Vishnu Boddeti
    In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency , Jul 2024
  3. CVPR’24
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    Utility-Fairness Trade-Offs and How to Find Them
    Sepehr Dehdashtian, Bashir Sadeghi, and Vishnu Boddeti
    In Conference on Computer Vision and Pattern Recognition 2024 , Jun 2024
  4. ICLR’24
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    FairerCLIP: Debiasing CLIP’s Zero-Shot Predictions using Functions in RKHSs
    Sepehr Dehdashtian*, Lan Wang*, and Vishnu Boddeti
    In International Conference on Learning Representations , May 2024

2022

  1. TMLR
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    On Characterizing the Trade-off in Invariant Representation Learning
    Bashir Sadeghi, Sepehr Dehdashtian, and Vishnu Boddeti
    Transactions on Machine Learning Research, May 2022
    Featured Certification

2021

  1. WCL
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    Deep-Learning-Based Blind Recognition of Channel Code Parameters Over Candidate Sets Under AWGN and Multi-Path Fading Conditions
    Sepehr Dehdashtian, Matin Hashemi, and Saber Salehkaleybar
    IEEE Wireless Communications Letters, May 2021