In this work, we study the continual semantic segmentation problem, where the deep neural
networks are required to incorporate new classes continually without catastrophic forgetting …

Breast cancer is the most common invasive cancer in women and the second main cause of
cancer death in females, which can be classified benign or malignant. Research and …

Current state-of-the-art cross-lingual summarization models employ multi-task learning
paradigm, which works on a shared vocabulary module and relies on the self-attention …

摘要在人工智能迅速发展的今天, 深度神经网络广泛应用于各个研究领域并取得了巨大的成功,
但也同样面临着诸多挑战. 首先, 为了解决复杂的问题和提高模型的训练效果 …

One of the most efficient methods for model compression is hint distillation, where the
student model is injected with information (hints) from several different layers of the teacher …

摘要在这项工作中, 本文研究了连续语义分割问题. 在这个问题上, 深度神经网络需要不断地纳入
新的类别, 而不会产生灾难性遗忘的问题. 本文提出使用一种结构化的重参数化机制 …

Network quantization has rapidly become one of the most widely used methods to compress
and accelerate deep neural networks on edge devices. While existing approaches offer …

Quantizing deep networks with adaptive bit-widths is a promising technique for efficient
inference across many devices and resource constraints. In contrast to static methods that …