arXiv AI By Vasilii Feofanov, Zhenghan Tai, Andrei Ermakov, Irina Rish

Turning TS2Vec into a Foundation Model for Time Series Classification

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arXiv Machine Learning
4d ago

Backpropagation-free Deep Learning for Time-Series Classification

The paper evaluates three backpropagation‑free learning rules—Direct Feedback Alignment, Direct Random Target Projection, and NoProp—on 112 univariate time‑series classification datasets using 1D convolutional networks. Each method achieves mean F1 scores between 0.76 and 0.79, slightly below state‑of‑the‑art backpropagation baselines. The study also analyzes how dataset properties, especially intra‑class temporal variability, affect performance gaps and examines computational trade‑offs such as FLOPs, training speed, and memory usage.

By Miha Kap\v{s}, Bla\v{z} Bertalani\v{c}, Carolina Fortuna