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Found 4 papers, 1 papers with code
Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
Cobweb, a human like category learning system, differs from other incremental categorization models in constructing hierarchically organized cognitive tree-like structures using the category utility measure.
Avoiding Catastrophic Forgetting in Visual Classification Using Human Concept Formation
Deep neural networks have excelled in machine learning, particularly in vision tasks, however, they often suffer from catastrophic forgetting when learning new tasks sequentially.
Speech Detection Task Against Asian Hate: BERT the Central, While Data-Centric Studies the Crucial
With the COVID-19 pandemic continuing, hatred against Asians is intensifying in countries outside Asia, especially among the Chinese.
Unsupervised Multilingual Alignment using Wasserstein Barycenter
We study unsupervised multilingual alignment, the problem of finding word-to-word translations between multiple languages without using any parallel data.
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