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Found 4 papers, 0 papers with code
Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning
Firstly, our pre-trained knowledge encoder aims at reasoning the MWP by using outside knowledge from the pre-trained transformer-based models.
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning
The weakly supervised prompt learning model only utilizes the classes of images in the dataset to guide the learning of the specific class vector in the prompt, while the learning of other context vectors in the prompt requires no manual annotations for guidance.
Intensive Vision-guided Network for Radiology Report Generation
Given the above limitation in feature extraction, we propose a Globally-intensive Attention (GIA) module in the medical image encoder to simulate and integrate multi-view vision perception.
AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts
Additionally, the proposed AdaNAS model is compared with other neural architecture search methods and previous studies.
