Generative Large Language Models (LLMs) have demonstrated remarkable res...
Recent advances in state-of-the-art DNN architecture design have been mo...
The recent emergence of Large Language Models based on the Transformer
a...
For realistic and vivid colorization, generative priors have recently be...
The recently proposed Conformer model has become the de facto backbone m...
Imperative programming allows users to implement their deep neural netwo...
We present an automatic static analyzer PyTea that detects tensor-shape
...
A major challenge in deploying transformer models is their prohibitive
i...
End-to-end neural network models achieve improved performance on various...
As soon as abstract mathematical computations were adapted to computatio...
Transformer based models, like BERT and RoBERTa, have achieved
state-of-...