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Found 3 papers, 1 papers with code
Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
Although the widespread use of AI systems in today's world is growing, many current AI systems are found vulnerable due to hidden bias and missing information, especially in the most commonly used forecasting system.
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
In this paper, we provide an in-depth analysis of the underlying parse tree-like structure involved in the effect prediction task and we further establish a Hierarchical Capsule Prediction Network (HapNet) for predicting the effects of marketing campaigns.
Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention
Furthermore, a new metric is devised to evaluate the geometric consistency in the translation process.
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