The family of Win Rozario, a Queens teenager who was killed by two police officers while experiencing a mental health crisis, has yet to receive any answers about the 19-year-old’s death a year after ...

Abstract: Few-shot learning (FSL) aims to learn novel concepts with very limited labeled data. The popular FSL methods typically rely on metric learning to measure image similarity in a learned ...

Despite strong demand for lifelong learning among business school graduates, most alumni are looking beyond their alma maters to meet those needs, according to a new global study. The Alumni ...

Abstract: Few-shot learning (FSL) aims to train a model using a minimal number of samples and subsequently apply this model to recognize unseen classes. Recently, metric-based methods mainly focus on ...

In this work, we start by analyzing the learning dynamics of PEFT techniques when trained on few-shot data from only a subset of categories, referred to as the “base” classes. We show that such ...

SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per ...