Baidu & UTS Propose Practical Quantum Self-Attention Neural Networks for Text Classification | Synced
In the new paper Quantum Self-Attention Neural Networks for Text Classification, a team from Baidu Research and the University of Technology Sydney proposes the quantum self-attention neural networ...
Source: Synced | AI Technology & Industry Review
In the new paper Quantum Self-Attention Neural Networks for Text Classification, a team from Baidu Research and the University of Technology Sydney proposes the quantum self-attention neural network (QSANN), a simple yet powerful architecture that is effective and scalable to large real-world datasets.