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data/2306.01685.json

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+{"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`"}

data/2307.15663.json

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+{"paper_url": "https://huggingface.co/papers/2307.15663", "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* [Hard ASH: Sparsity and the right optimizer make a continual learner](https://huggingface.co/papers/2404.17651) (2024)\n* [Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling](https://huggingface.co/papers/2405.14578) (2024)\n* [AdaFisher: Adaptive Second Order Optimization via Fisher Information](https://huggingface.co/papers/2405.16397) (2024)\n* [Exact Gauss-Newton Optimization for Training Deep Neural Networks](https://huggingface.co/papers/2405.14402) (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`"}

data/2404.17651.json

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+{"paper_url": "https://huggingface.co/papers/2404.17651", "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* [Task agnostic continual learning with Pairwise layer architecture](https://huggingface.co/papers/2405.13632) (2024)\n* [HyperInterval: Hypernetwork approach to training weight interval regions in continual learning](https://huggingface.co/papers/2405.15444) (2024)\n* [On Sequential Loss Approximation for Continual Learning](https://huggingface.co/papers/2405.16498) (2024)\n* [Meta-Learning Neural Procedural Biases](https://huggingface.co/papers/2406.07983) (2024)\n* [Learning Continually by Spectral Regularization](https://huggingface.co/papers/2406.06811) (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`"}