Audrey WangCrucial Tips To Secure A Successful Data Annotation in ResearchEvery researcher would recognize the importance of data annotation, which affects not only the quality of data but also budget…Feb 13Feb 13
Audrey WangContinual Entity Alignment for Growing Knowledge GraphsEntity Alignment is a crucial technique for knowledge fusion when we want to integrate information from multiple sources. It aims to…Jul 23, 2022Jul 23, 2022
Audrey WangIncorporating Continual Learning methods into Continual Knowledge Graph EmbeddingIn recent years, inductive learning is definitely one of the on-trend research topics in knowledge graph embedding. The central concern of…Jun 8, 2022Jun 8, 2022
Audrey WangI finished a 6-hour long TOEFL test (home edition), and here are my sincere tips and adviceHonestly, I have never thought that my TOEFL test would last more than 6 hours. But this happened yesterday in my exam, due to frequent…May 30, 20221May 30, 20221
Audrey WangWhat is lifelong machine learning and its differences with other learning paradigmsLifelong learningOct 25, 2021Oct 25, 2021
Audrey WangInsight into PyTorch.nn: Parameter vs. Linear vs. EmbeddingIn a recent PyTorch practice, I used the torch.nn.Parameter() class to create a module parameter but found the parameter was initialized…May 9, 20212May 9, 20212
Audrey WangDifference Between Temporal KG and Dynamic KGTemporal Knowledge GraphNov 20, 2020Nov 20, 2020
