Webpages tagged with «NeurIPS»

A hierarchical contrastive learning framework that effectively captures both local and global temporal patterns in time-series analysis by using a progressive memory attention architecture.  

The work "Progressive Memory Transformer: Memory-Aware Attention for Time-Series" by Tord Sture Stangeland, Andreas Köhler, Steffen Maeland, and Adín Ramírez Rivera was accepted at NeurIPS 2026!