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Found 3 papers, 1 papers with code
Boosting X-formers with Structured Matrix for Long Sequence Time Series Forecasting
We further establish the equivalence of the Surrogate Attention Block to the self-attention mechanism in terms of both expressiveness and trainability.
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
Providing various machine learning (ML) applications in the real world, concerns about discrimination hidden in ML models are growing, particularly in high-stakes domains.
AUTOACT: Automatic Agent Learning from Scratch via Self-Planning
Further analysis demonstrates the effectiveness of the division-of-labor strategy, with the trajectory quality generated by AutoAct significantly outperforming that of others.
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