Search Results for author:
Found 6 papers, 3 papers with code
Response Construct Tagging: NLP-Aided Assessment for Engineering Education
We further investigate multi-task training on the related task of sentiment classification, which improves our model’s performance to 55 F1.
Multi Domain Learning for Motion Magnification
But small motions are prone to noise, illumination changes, large motions, etc.
BERT is Not an Interlingua and the Bias of Tokenization
Multilingual transfer learning can benefit both high- and low-resource languages, but the source of these improvements is not well understood.
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering
XLDA is in contrast to, and performs markedly better than, a more naive approach that aggregates examples in various languages in a way that each example is solely in one language.
Cross-Lingual Natural Language Inference
Data Augmentation
+3
Rethinking Radiology: An Analysis of Different Approaches to BraTS
This paper discusses the deep learning architectures currently used for pixel-wise segmentation of primary and secondary glioblastomas and low-grade gliomas.
Attention on Attention: Architectures for Visual Question Answering (VQA)
Visual Question Answering (VQA) is an increasingly popular topic in deep learning research, requiring coordination of natural language processing and computer vision modules into a single architecture.
