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+{"paper_url": "https://huggingface.co/papers/1609.09106", "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* [Efficient Language Modeling for Low-Resource Settings with Hybrid RNN-Transformer Architectures](https://huggingface.co/papers/2502.00617) (2025)\n* [Adaptive Width Neural Networks](https://huggingface.co/papers/2501.15889) (2025)\n* [Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models](https://huggingface.co/papers/2503.00838) (2025)\n* [Growth strategies for arbitrary DAG neural architectures](https://huggingface.co/papers/2501.12690) (2025)\n* [Modular Training of Neural Networks aids Interpretability](https://huggingface.co/papers/2502.02470) (2025)\n* [Syntactic Learnability of Echo State Neural Language Models at Scale](https://huggingface.co/papers/2503.01724) (2025)\n* [The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE](https://huggingface.co/papers/2502.17391) (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`"}