Abstract: In deep learning community, gradient based methods are typically employed to train the proposed models. These methods generally operate in a mini-batch training manner wherein a small ...

the cross-attention cache size must equal the encoder sequence length. batch size for both self-attention and cross-attention caches must be the same as the generating batch size. I have been working ...

The ability to accurately interpret complex visual information is a crucial focus of multimodal large language models (MLLMs). Recent work shows that enhanced visual perception significantly reduces ...

There is an ever-increasing demand for accuracy in many manufacturing industries. Adding to this general need for higher accuracy is the fact that industry sectors such as semiconductors and ...

Hello. I noticed that the output of encoder (f16) (evaluation mode is turned on) slightly changes if a batch size changes. but it didn't help. Also I replaced all normalisation layers with identity ...

Abstract: A batch uniformization autoencoder (BU-AE) often performs poorly in anomaly detection problems if the initial weights of the network are determined by a random number-based method. This ...

Deep learning algorithms' powerful capabilities for extracting useful latent information give them the potential to outperform traditional financial models in solving problems of the stock market ...