| {"paper_url": "https://huggingface.co/papers/2306.01685", "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* [LoQT: Low Rank Adapters for Quantized Training](https://huggingface.co/papers/2405.16528) (2024)\n* [SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs](https://huggingface.co/papers/2405.16325) (2024)\n* [4-bit Shampoo for Memory-Efficient Network Training](https://huggingface.co/papers/2405.18144) (2024)\n* [AdaFisher: Adaptive Second Order Optimization via Fisher Information](https://huggingface.co/papers/2405.16397) (2024)\n* [AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning](https://huggingface.co/papers/2405.01067) (2024)\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`"} |