Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Abstract: The attention-based encoder-decoder (AED) speech recognition model has been widely successful in recent years. However, the joint optimization of acoustic model and language model in ...

Recently, Meta Superintelligence Labs jointly proposed an efficient decoding framework called REFRAG, aimed at addressing the ...

IIT Bombay researchers develop AI model for interpreting satellite images with natural language prompts, revolutionising disaster response and surveillance.

Abstract: The existing encoder–decoder model, or encoder–decoder model with atrous convolutions, has exposed its limitations under diverse environments, such as road scales, shadows, building ...

This repository provides a step-by-step implementation of the Transformer architecture from scratch using PyTorch. The Transformer model, introduced in the seminal paper "Attention is All You Need," ...

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the "classification problem" describes the mapping from inputs to category labels, ...

cuDNN version : Probably one of the following: /usr/local/cuda-12.8/targets/x86_64-linux/lib/libcudnn.so.8 /usr/local/cuda-12.8/targets/x86_64-linux/lib/libcudnn_adv ...