Mamba: Linear-Time Sequence Modeling with Selective State Spaces 翻译 基础模型现在为深度学习中大多数令人兴奋的应用程序提供支持,几乎普遍基于 Transformer 架构及其核心注意力模块。许多次二次时间架构(例如线性注意力、门控卷积和循环模型以及结构化状态… 易显维发表于南湖研究院 Mamba
Mamba: Linear-Time Sequence Modeling with Selective State Spacesarxiv.org/abs/2312.00752 github:github.com/state-spaces Intro Mamba模型最近在深度学习领域掀起了不小的热潮,国内很多一部分研究者都在追赶这个热点,通用赛道的人想着把Transformer替换成Mamba刷个热点,具体赛道的想着哪个块能换成Mamba跑上一跑。
灵感来自经典状态空间模型。 这些模型可以被解释为循环神经网络(RNN)和卷积神经网络(CNN)的组合, 这类模型可以非常有效地进行递归或卷积计算,序列长度呈线性或近线性缩放。 优点: 在某些数据形式中具有建模长程依赖性的原理机制,并主导了诸如长程竞技场等基准测试。许多 SSMs 在涉及连续信号数据(如音频和视觉)的领域...
Remark E.1. We also note that the schedule was not tuned, and we never experimented with turning o sequence length warmup for these pretraining experiments. We later found that SLW did not help noticeably for audio pretraining at similar lengths (Section 4.4), and it is possible that it...
https://www.youtube.com/watch?v=9dSkvxS2EB0 OUTLINE: 0:00 - Introduction 0:45 - Transformers vs RNNs vs S4 6:10 - What are sttate space models? 12:30 - Selective State Space Models 17:55 - The Mamba architecture 22:20 - The SSM layer and forward propagation 31:15 - Utilizing...
Mamba: Linear-Time Sequence Modeling with Selective State Spaces Albert Gu*, Tri Dao* Paper:https://arxiv.org/abs/2312.00752 About Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall...
Mamba: Linear-time sequence modeling with selective state spaces, 2023. Gu, A., Dao, T., Ermon, S., Rudra, A., and Re, C. Hippo: Recurrent memory with optimal polynomial projections, 2020. Gu, A., Goel, K., and Ré, C. Efficiently modeling long sequences with structured state ...
目录概Mamba代码 Gu A. and Dao T. Mamba: Linear-time sequence modeling with selective state spaces. 2023. 概 Mamba. Mamba S4 和 S4D 虽然解决了 SSM 计算速度的问题, 但是有一个前提
Time-based Token Selection Attending to Future Tokens For Bidirectional Sequence Generation Information-Transport-based Policy for Simultaneous Translation ...点击展开更多... 该求助已完结,感谢关注 如需该文献,请重新发布求助,前往发布 在科研通,轻松享有文献下载的自由 请遵守相关知识产权规定,勿将文件分享给...
Mamba: Linear-Time Sequence Modeling with Selective State SpacesMamba:基于选择状态空间的线性时间序列建模 论文两位作者Albert Gu和Tri Dao,博士都毕业于斯坦福大学,导师为Christopher Ré。 Albert Gu现…