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Found 6 papers, 1 papers with code
Robust Multi-Task Learning with Excess Risks
To overcome this limitation, we propose Multi-Task Learning with Excess Risks (ExcessMTL), an excess risk-based task balancing method that updates the task weights by their distances to convergence instead.
Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications
This paper explores Memory-Augmented Neural Networks (MANNs), delving into how they blend human-like memory processes into AI.
Gradual Domain Adaptation: Theory and Algorithms
Unsupervised domain adaptation (UDA) adapts a model from a labeled source domain to an unlabeled target domain in a one-off way.
Greedy Modality Selection via Approximate Submodular Maximization
We formulate a theoretical framework for optimizing modality selection in multimodal learning and introduce a utility measure to quantify the benefit of selecting a modality.
FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries
Discrete Fourier Transform (DFT) libraries are one of the most critical software components for scientific computing.
The action of the Virasoro algebra in the two-dimensional Potts and loop models at generic $Q$
Here, we solve the problem for generic values of $Q$.
High Energy Physics - Theory Statistical Mechanics Mathematical Physics Mathematical Physics
