14 citations · 23 across the 6 of their papers we have counts for
6 papers
Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression
Nikos Arechiga, Francine Chen, Yan-Ying Chen +4
We consider the problem of learning free-form symbolic expressions from raw data, such as that produced by an experiment in any scientific domain. Accurate and interpretable models…
Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data
Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen +2
Interleaved texts, where posts belonging to different threads occur in a sequence, commonly occur in online chat posts, so that it can be time-consuming to quickly obtain an overvi…
Thoracic Disease Identification and Localization using Distance Learning and Region Verification
Cheng Zhang, Francine Chen, Yan-Ying Chen
The identification and localization of diseases in medical images using deep learning models have recently attracted significant interest. Existing methods only consider training t…
Addressing Data Bias Problems for Chest X-ray Image Report Generation
Philipp Harzig, Yan-Ying Chen, Francine Chen +1
Automatic medical report generation from chest X-ray images is one possibility for assisting doctors to reduce their workload. However, the different patterns and data distribution…
A Hierarchical Decoder with Three-level Hierarchical Attention to Generate Abstractive Summaries of Interleaved Texts
Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen +2
Interleaved texts, where posts belonging to different threads occur in one sequence, are a common occurrence, e.g., online chat conversations. To quickly obtain an overview of such…
Local Feature Descriptor Learning with Adaptive Siamese Network
Chong Huang, Qiong Liu, Yan-Ying Chen +2
Although the recent progress in the deep neural network has led to the development of learnable local feature descriptors, there is no explicit answer for estimation of the necessa…