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Found 6 papers, 1 papers with code
Data Optimization in Deep Learning: A Survey
Consequently, a huge number of studies in the existing literature have focused on the data aspect in deep learning tasks.
Compensation Learning
Furthermore, a family of new learning algorithms can be obtained by plugging the compensation learning into existing learning algorithms.
AI Marker-based Large-scale AI Literature Mining
Inspired by the idea of molecular markers tracing in the field of biochemistry, three named entities, namely, methods, datasets and metrics are used as AI markers for AI literature.
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention
We finally apply our model on PAKDD papers published from 2009-2019 to mine insightful results from scientific papers published in a longer time span.
Deep Human Answer Understanding for Natural Reverse QA
This study focuses on a reverse question answering (QA) procedure, in which machines proactively raise questions and humans supply the answers.
Method and Dataset Mining in Scientific Papers
In the field of machine learning, the involved methods (M) and datasets (D) are key information in papers.
