Content scoring tools work, but only for the first gate in Google’s pipeline

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...
IEEE

Kullback–Leibler Divergence-Based Regularized Normalization for Low-Resource Tasks

Abstract: Large pretrained models, like BERT, GPT, and Wav2Vec, have demonstrated their ability to learn transferable representations for various downstream tasks. However, obtaining a substantial ...
IEEE

Representative Batch Normalization with Feature Calibration

Abstract: Batch Normalization (BatchNorm) has become the default component in modern neural networks to stabilize training. In BatchNorm, centering and scaling operations, along with mean and variance ...