Skip to main content

UltraMem

Project description

UltraMem (wip)

Implementation of UltraMem, improved Product Key Memory design, from Bytedance AI labs

Citations

@misc{huang2025ultrasparsememorynetwork,
    title   = {Ultra-Sparse Memory Network}, 
    author  = {Zihao Huang and Qiyang Min and Hongzhi Huang and Defa Zhu and Yutao Zeng and Ran Guo and Xun Zhou},
    year    = {2025},
    eprint  = {2411.12364},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2411.12364}, 
}
@inproceedings{anonymous2025continual,
    title   = {Continual Learning via Sparse Memory Finetuning},
    author  = {Anonymous},
    booktitle = {Submitted to The Fourteenth International Conference on Learning Representations},
    year    = {2025},
    url     = {https://openreview.net/forum?id=LGo7U1m24L},
    note    = {under review}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ultra_mem-0.0.2.tar.gz (190.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ultra_mem-0.0.2-py3-none-any.whl (6.0 kB view details)

Uploaded Python 3

File details

Details for the file ultra_mem-0.0.2.tar.gz.

File metadata

  • Download URL: ultra_mem-0.0.2.tar.gz
  • Upload date:
  • Size: 190.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for ultra_mem-0.0.2.tar.gz
Algorithm Hash digest
SHA256 4af7737decfc99bdcafda7b7efeb365584c6e08d8bd4111a69513ff41a3dcee2
MD5 52e2fdabe2588170eee248342da4af56
BLAKE2b-256 951afd579fc8f4c277c770f3fb6829138f0666177111c38f7241cbf185311a39

See more details on using hashes here.

File details

Details for the file ultra_mem-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: ultra_mem-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 6.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for ultra_mem-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 abc89fe19076de3e35f53787b7d236386f76aac6abe78936510aaa44fd9036b9
MD5 caa95680b21521d36cbe59e4ab3b82bb
BLAKE2b-256 d726a9c04829bb53dc3715c32f6b854149b7c08ec5e9b4ab4388ccb4b3364410

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page