2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport
Mengting Li, Chuang Zhu
Noisy labels, which are common in real-world datasets, can significantly impair the training of deep learning models. However, recent adversarial noise-combating methods overlook t…
cs.CV2024★ 2 cited
Noisy Label Processing for Classification: A Survey
Mengting Li, Chuang Zhu
In recent years, deep neural networks (DNNs) have gained remarkable achievement in computer vision tasks, and the success of DNNs often depends greatly on the richness of data. How…
eess.AS2023★ 1 cited
TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch
Jeff Hwang, Moto Hira, Caroline Chen +21
TorchAudio is an open-source audio and speech processing library built for PyTorch. It aims to accelerate the research and development of audio and speech technologies by providing…