5 papers
Fast randomized algorithms for low-rank matrix approximations with applications in global comparative analysis of a class of data sets
Weiwei Xu, Weijie Shen, Wen Li +2
Generalized singular values (GSVs) play an essential role in the comparative analysis. In the real world data for comparative analysis, both data matrices are usually numerically l…
MEP: Multiple Kernel Learning Enhancing Relative Positional Encoding Length Extrapolation
Weiguo Gao
When the predicted sequence length exceeds the length seen during training, the transformer's inference accuracy diminishes. Existing relative position encoding methods, such as th…
PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Information
Long Ma, Kai Lu, Tianbo Che +3
The MultiCoNER II task aims to detect complex, ambiguous, and fine-grained named entities in low-context situations and noisy scenarios like the presence of spelling mistakes and t…
A More Stable Accelerated Gradient Method Inspired by Continuous-Time Perspective
Yasong Feng, Weiguo Gao
Nesterov's accelerated gradient method (NAG) is widely used in problems with machine learning background including deep learning, and is corresponding to a continuous-time differen…
Balanced Partitioning of Several Cache-Oblivious Algorithms
Yuan Tang, Weiguo Gao
Frigo et al. proposed an ideal cache model and a recursive technique to design sequential cache-efficient algorithms in a cache-oblivious fashion. Ballard et al. pointed out that i…