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Found 2 papers, 1 papers with code
Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation
Some Transformer-based models can perform cross-lingual transfer learning: those models can be trained on a specific task in one language and give relatively good results on the same task in another language, despite having been pre-trained on monolingual tasks only.
Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Distillation
For this, we propose a framework that makes use of semantic knowledge and estimates the relevance of object pairs during both training and test phases.
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