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

2 days ago · Recognizing the need for a more comprehensive approach to accurately model time series prediction, we propose a collaborative modeling framework that ...

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

2 days 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, ...

4 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.

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

6 days ago · Grok-1.5V excels at OCR and contextual understanding on this benchmark. The model's ability to extract and interpret textual information from images opens up ...

19 hours ago · This strategy is based on the model's current uncertainty, prioritizing data ... This illustration demonstrates how the proposed model combines image and textual ...

6 days ago · Large language models (LLMs) are trained on massive textual data to generate creative and contextually relevant content. Since enterprises are utilizing LLMs to ...

3 days ago · Expo Workshop: Run PyTorch Models On Device. (ends 7:30 AM) ; Expo Talk Panel: Accelerating research in Private Federated Learning with the pfl-research ...