Structured state space sequence models. Contribute to stash-196/research-s4 development by creating an account on GitHub.
Implemenation of the HIERarchical imagionation On Structured State Space Sequence Models (HIEROS) paper - Snagnar/Hieros
Models baseline(Bi-LSTM, CRF) 1.Bi-LSTM 标准的双向LSTM模型(输入层embedding+输出层softmax) 输入的自然语言的句子,首先转化为sequence of tokens[xt]1T,然后输入到embedding层得到词表示,通过双向LSTM提取特征[ω(x)]1T,输出层接一个softmax。end to end模型,损失函数:交叉熵 2.CRF ...
Autoregressive sequence models achieve state-of-the-art performance in domains like machine translation. However, due to the autoregressive factorization nature, these models suffer from heavy latency during inference. Recently, non-autoregressive sequence models were proposed to reduce the inference time....
Fig. 1: Key concepts of structured state space sequence (S4) models for chemical language modeling. a Simplified Molecular Input Line Entry System (SMILES) strings14, used as the chemical language. SMILES strings are obtained by traversing the molecular graph and annotating atom types, rings, and...
Structured state space sequence models. Contribute to Sandy4321/s4-Long-Sequences-SSS development by creating an account on GitHub.