Abstract: Existing time series variable-length motif mining algorithms based on suffix arrays suffer from long running times and are prone to premature termination of matching due to variations in ...

Abstract: Deep neural networks (DNN) has achieved great successes across multiple domains. In recent years, a number of approaches have emerged on automatically finding the optimal DNN configurations.

:description: Learn how to use PyTorch's varlen_attn API for efficient variable length attention without padding. Complete tutorial with code examples for training Transformers with packed sequences. ...

### Steps to reproduce _No response_ ### GraphRAG Config Used ```yaml # Paste your config here ### This config file contains required core defaults that must be set ...