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Found 5 papers, 4 papers with code
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models
Groundbreaking inventions and highly significant performance improvements in deep learning based Natural Language Processing are witnessed through the development of transformer based large Pre-trained Language Models (PLMs).
Learning primal-dual sparse kernel machines
In this paper, instead of using the traditional representer theorem, we propose to search for a solution in RKHS that has a pre-image decomposition in the original data space, where the elements don't necessarily correspond to the elements in the training set.
Understanding the Limitations of Network Online Learning
We call this querying process Network Online Learning and present a family of algorithms called NOL*.
Warping Resilient Scalable Anomaly Detection in Time Series
These two challenges make it hard to detect anomalies in time series as often such warpings could get detected as anomalies erroneously.
Multi-view Kernel Completion
In this paper, we introduce the first method that (1) can complete kernel matrices with completely missing rows and columns as opposed to individual missing kernel values, (2) does not require any of the kernels to be complete a priori, and (3) can tackle non-linear kernels.
