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Found 8 papers, 0 papers with code
A Roadmap for Big Model
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.
WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models
The results show that WuDaoMM can be applied as an efficient dataset for VLPMs, especially for the model in text-to-image generation task.
Calculating Question Similarity is Enough: A New Method for KBQA Tasks
Knowledge Base Question Answering (KBQA) aims to answer natural language questions with the help of an external knowledge base.
Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact
The Turing Award is recognized as the most influential and prestigious award in the field of computer science(CS).
Attention: to Better Stand on the Shoulders of Giants
In the progress of science, the previously discovered knowledge principally inspires new scientific ideas, and citation is a reasonably good reflection of this cumulative nature of scientific research.
Modeling and Predicting Citation Count via Recurrent Neural Network with Long Short-Term Memory
The rapid evolution of scientific research has been creating a huge volume of publications every year.
Digital Libraries Physics and Society
Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism
Here we propose a deep learning attention mechanism to model the process through which individual items gain their popularity.
Expert Finding in Community Question Answering: A Review
Moreover, we use innovative diagrams to clarify several important concepts of ensemble learning, and find that ensemble models with several specific single models can further boosting the performance.
