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Found 4 papers, 2 papers with code
Sentence Selection Strategies for Distilling Word Embeddings from BERT
Many applications crucially rely on the availability of high-quality word vectors.
UHRNet: A Deep Learning-Based Method for Accurate 3D Reconstruction from a Single Fringe-Pattern
Our experimental results show that our proposed method can increase the accuracy of 3D reconstruction from a single fringe pattern.
A Priori Calibration of Transient Kinetics Data via Machine Learning
As such, the proposed methodology demonstrates clear benefits over the traditional preprocessing in the calibration of the inert and feed mixture products without need of prior calibration experiments or heuristic input from the user.
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
Second, rather than learning a word vector directly, we use a topic model to partition the contexts in which words appear, and then learn different topic-specific vectors for each word.
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