4 papers
KVPruner: Structural Pruning for Faster and Memory-Efficient Large Language Models
Bo Lv, Quan Zhou, Xuanang Ding +2
The bottleneck associated with the key-value(KV) cache presents a significant challenge during the inference processes of large language models. While depth pruning accelerates inf…
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis
Yuxiang Yang, Xinyi Zeng, Pinxian Zeng +4
Deep learning has revolutionized the early detection of breast cancer, resulting in a significant decrease in mortality rates. However, difficulties in obtaining annotations and hu…
Noise Dimension of GAN: An Image Compression Perspective
Ziran Zhu, Tongda Xu, Ling Li +1
Generative adversial network (GAN) is a type of generative model that maps a high-dimensional noise to samples in target distribution. However, the dimension of noise required in G…
ASGNet: Adaptive Semantic Gate Networks for Log-Based Anomaly Diagnosis
Haitian Yang, Degang Sun, Wen Liu +3
Logs are widely used in the development and maintenance of software systems. Logs can help engineers understand the runtime behavior of systems and diagnose system failures. For an…