| {"paper_url": "https://huggingface.co/papers/2306.16635", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [A Large-scale Empirical Study on Improving the Fairness of Deep Learning Models](https://huggingface.co/papers/2401.03695) (2024)\n* [Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation](https://huggingface.co/papers/2312.05508) (2023)\n* [Falcon: Fair Active Learning using Multi-armed Bandits](https://huggingface.co/papers/2401.12722) (2024)\n* [Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification](https://huggingface.co/papers/2401.03097) (2024)\n* [Coupling Fairness and Pruning in a Single Run: a Bi-level Optimization Perspective](https://huggingface.co/papers/2312.10181) (2023)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"} |