Computer Sciences

New logarithmic step size for stochastic gradient descent

The step size, often referred to as the learning rate, plays a pivotal role in optimizing the efficiency of the stochastic gradient descent (SGD) algorithm. In recent times, multiple step size strategies have emerged for ...

Computer Sciences

New mitigation framework reduces bias in classification outcomes

We use computers to help us make (hopefully) unbiased decisions. The problem is that machine-learning algorithms do not always make fair classifications if human bias is embedded in the data used to train them—which is ...

Computer Sciences

Researchers improve scene perception with innovative framework

Led by Prof. Liu Yong from the Hefei lnstitutes of Physical Science of the Chinese Academy of Sciences, researchers have proposed a novel framework, called Clip-based Knowledge Transfer and Relational Context Mining (CKT-RCM), ...

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