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....
Generative deep learning is reshaping drug design. Chemical language models (CLMs) – which generate molecules in the form of molecular strings – bear particular promise for this endeavor. Here, we introduce a recent deep learning architecture, termed S
Structured state space sequence models. Contribute to Sandy4321/s4-Long-Sequences-SSS development by creating an account on GitHub.