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Found 6 papers, 3 papers with code
VizSeq: A Visual Analysis Toolkit for Text Generation Tasks
Automatic evaluation of text generation tasks (e. g. machine translation, text summarization, image captioning and video description) usually relies heavily on task-specific metrics, such as BLEU and ROUGE.
Predictive Ensemble Learning with Application to Scene Text Detection
Taking scene text detection as the application, where no suitable ensemble learning strategy exists, PEL can significantly improve the performance, compared to either individual state-of-the-art models, or the fusion of multiple models by non-maximum suppression.
A Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing
This paper describes Fudan{'}s submission to CoNLL 2018{'}s shared task Universal Dependency Parsing.
Memory-Efficient Implementation of DenseNets
A 264-layer DenseNet (73M parameters), which previously would have been infeasible to train, can now be trained on a single workstation with 8 NVIDIA Tesla M40 GPUs.
Multi-Scale Dense Networks for Resource Efficient Image Classification
In this paper we investigate image classification with computational resource limits at test time.
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification
Recently, neural networks have achieved great success on sentiment classification due to their ability to alleviate feature engineering.
