1.1k citations · 1.1k across the 5 of their papers we have counts for
6 papers
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yonghao Liu, Mengyu Li, Ximing Li +5
Node classification is an essential problem in graph learning. However, many models typically obtain unsatisfactory performance when applied to few-shot scenarios. Some studies hav…
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
Yonghao Liu, Mengyu Li, Di Liang +5
Natural Language Inference (NLI) is a crucial task in natural language processing that involves determining the relationship between two sentences, typically referred to as the pre…
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
Mengyu Li, Yonghao Liu, Fausto Giunchiglia +3
Text classification is a crucial and fundamental task in web content mining. Compared with the previous learning paradigm of pre-training and fine-tuning by cross entropy loss, the…
Variational Wasserstein Barycenters with c-Cyclical Monotonicity
Jinjin Chi, Zhiyao Yang, Jihong Ouyang +1
Wasserstein barycenter, built on the theory of optimal transport, provides a powerful framework to aggregate probability distributions, and it has increasingly attracted great atte…
Lunar impact craters identification and age estimation with Chang'E data by deep and transfer learning
Chen Yang, Haishi Zhao, Lorenzo Bruzzone +7
Impact craters, as "lunar fossils", are the most dominant lunar surface features and occupy most of the Moon's surface. Their formation and evolution record the history of the Sola…
Compositional Learning of Relation Path Embedding for Knowledge Base Completion
Xixun Lin, Yanchun Liang, Fausto Giunchiglia +2
Large-scale knowledge bases have currently reached impressive sizes; however, these knowledge bases are still far from complete. In addition, most of the existing methods for knowl…