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+{"paper_url": "https://huggingface.co/papers/1703.06114", "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* [Generalization is not a universal guarantee: Estimating similarity to training data with an ensemble out-of-distribution metric](https://huggingface.co/papers/2502.16329) (2025)\n* [Advances in Set Function Learning: A Survey of Techniques and Applications](https://huggingface.co/papers/2501.14991) (2025)\n* [Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success](https://huggingface.co/papers/2502.12930) (2025)\n* [Fr\\'echet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects](https://huggingface.co/papers/2502.15374) (2025)\n* [Random Forest Autoencoders for Guided Representation Learning](https://huggingface.co/papers/2502.13257) (2025)\n* [Learning Hyperparameters via a Data-Emphasized Variational Objective](https://huggingface.co/papers/2502.01861) (2025)\n* [Simplifying DINO via Coding Rate Regularization](https://huggingface.co/papers/2502.10385) (2025)\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`"}