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Found 5 papers, 2 papers with code
Read classification using semi-supervised deep learning
In this paper, we propose a semi-supervised deep learning method for detecting the specific types of reads that impede the de novo genome assembly process.
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images
Recent progress of deep image classification models has provided great potential to improve state-of-the-art performance in related computer vision tasks.
Task-Aware Representation of Sentences for Generic Text Classification
State-of-the-art approaches for text classification leverage a transformer architecture with a linear layer on top that outputs a class distribution for a given prediction problem.
Enhancing Product Safety in E-Commerce with NLP
Ensuring safety of the products offered to the customers is of paramount importance to any e- commerce platform.
Task-Specific Embeddings for Ante-Hoc Explainable Text Classification
In a series of experiments, we show that this yields a number of interesting benefits: (1) The resulting order induced by distances in the embedding space can be used to directly explain classification decisions.
