First, to reduce the distance between multi-source homogeneous signals in the feature space, we design a novel Contrastive Pairs AutoEncoder (CPAE), which is for feature alignment before aggregating ...

[conda] cuda-cudart 12.6.77 h5888daf_0 conda-forge [conda] cuda-cudart-dev 12.6.77 h5888daf_0 conda-forge [conda] cuda-cudart-dev_linux-64 12.6.77 h3f2d84a_0 conda ...

i am trying to write from scratch the code to train new transformers architecture and because I needed document mask as well as alibi bias, I decided to try to develop using FlexAttention + Nested ...

Abstract: Presents corrections to the paper, (Corrections to “Adaptive Multitask Autoencoder-Based Hyperspectral Unmixing Exploiting Auxiliary Data via Graph Associations”).