5 days ago · The proposed Transformer-based model for multivariate time series forecasting and self-supervised representation learning utilizes two main methodological ...

5 days ago · This article introduces a robust convolutional neural network (CNN) architecture that supports input text sequences up to 200,000 characters, enabling effective ...

1 day ago · AI has a "bathtub curve" of value. At the low level, it's a super-autocomplete, able to write 1-3 lines of code that works good enough. At the high level, ...

5 days ago · ... models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that's best suited ...

6 days ago · Teams who want to work on large-scale transformer-based language model development can use TRLX. ... integrating visual and textual information to generate ...

3 days ago · Language models are trained on sequences of text, making their predictions dependent on the context, unlike image models where each prediction is independent.

6 days ago · There is some existing work in predicting some of the missing information ... Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit- ...

5 days ago · ... learning, particularly in natural language processing, to develop data-driven solutions that optimize business processes and improve customer experiences.

2 days ago · The schedule for 2024 is still being finalized. Recheck this page again closer to the conference start date. Show Detail.

4 days ago · PDF | To enhance the accuracy and efficiency of address parsing in traffic accident handling, this study designs a deep address parsing model based on.