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Found 3 papers, 1 papers with code
A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures
We present a new strategy for learning the functional relation between a pair of variables, while addressing inhomogeneities in the correlation structure of the available data, by modelling the sought function as a sample function of a non-stationary Gaussian Process (GP), that nests within itself multiple other GPs, each of which we prove can be stationary, thereby establishing sufficiency of two GP layers.
Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection
With the recent surge and exponential growth of social media usage, scrutinizing social media content for the presence of any hateful content is of utmost importance.
Learning Domain Terms - Empirical Methods to Enhance Enterprise Text Analytics Performance
Performance of standard text analytics algorithms are known to be substantially degraded on consumer generated data, which are often very noisy.
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