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Found 4 papers, 2 papers with code
Attention as Robust Representation for Time Series Forecasting
Time series forecasting is essential for many practical applications, with the adoption of transformer-based models on the rise due to their impressive performance in NLP and CV.
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors
Despite the impressive achievements of pre-trained models in the fields of natural language processing (NLP) and computer vision (CV), progress in the domain of time series analysis has been limited.
One Fits All:Power General Time Series Analysis by Pretrained LM
The main challenge that blocks the development of pre-trained model for time series analysis is the lack of a large amount of data for training.
Indoor Lighting Estimation Using an Event Camera
Image-based methods for indoor lighting estimation suffer from the problem of intensity-distance ambiguity.
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