Progressive Memory Transformer: Memory-Aware Attention for Time-Series

arXiv:2609.31351 · cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/dsb-ifi/pmt

Terminology

• Transformer — 50× in this paper · explained in 2 episodes
• Accuracy — 20× in this paper · explained in 1 episode
• Ablation — 17× in this paper · explained in 1 episode
• Embeddings — 16× in this paper · explained in 2 episodes
• Benchmark — 14× in this paper · explained in 2 episodes
• Cosine Similarity — 11× in this paper · explained in 3 episodes
• Aggregation — 10× in this paper · explained in 1 episode
• AUC — 9× in this paper · explained in 2 episodes
• Progressive Memory Transformer — 8× in this paper
• Self-Supervised Learning — 7× in this paper · explained in 8 episodes
• Representation Learning — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Contrastive Learning — 5× in this paper · explained in 5 episodes
• Progressive Memory Attention — 5× in this paper
• Downstream Tasks — 4× in this paper · explained in 2 episodes
• Tokenization — 4× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• PMA Contrastive Loss — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Hierarchical Gaussian Contrastive Loss — 2× in this paper
• Human Activity Recognition — 2× in this paper
• Self-Distillation — 2× in this paper · explained in 7 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Allocator — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Instance Contrastive Loss — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Representation Learning with Contrastive Predictive Coding
• TS2Vec: Towards Universal Representation of Time Series
• The UEA multivariate time series classification archive, 2018

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