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Found 2 papers, 1 papers with code
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?
In this work, we consider the essential question if it is advantageous to train a foundation model on synthetic data or it is better to utilize only a limited number of real-life examples.
Sparse and Transferable Universal Singular Vectors Attack
The research in the field of adversarial attacks and models' vulnerability is one of the fundamental directions in modern machine learning.
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