-
COMET: A neural framework for MT evaluation
The COMET dataset contains human-annotated scores for machine translation candidates. -
WMT2020 Metrics Shared Task
The WMT2020 Metrics Shared Task dataset contains human-annotated scores for machine translation candidates. -
RoBLEURT Submission for the WMT2021 Metrics Task
RoBLEURT is a robustly optimizing the training of BLEURT, a trainable metric model for evaluating the semantic consistency between machine translation candidates and golden... -
Discriminative Deep Forest (DisDF)
A Discriminative Deep Forest (DisDF) as a metric learning algorithm is proposed in the paper. -
Automated Vulnerability Detection Framework for Smart Contracts
The proposed framework utilizes metric learning based DNN to make vulnerability detection for smart contracts. -
Memory-Augmented Relation Network for Few-Shot Learning
The proposed method Memory-Augmented Relation Network (MRN) for few-shot learning.
