**DBlock** is a residual based block used in the discriminator of the [GAN-TTS](https://paperswithcode.com/method/gan-tts) architecture. They are similar to the [GBlocks](https://paperswithcode.com/method/gblock) used in the generator, but without batch normalisation.

Please enter a description about the method here

Library

0/1 Deep Neural Networks via Block Coordinate Descent

DBlock

High Fidelity Speech Synthesis with Adversarial Networks

A **Data-Efficient Image Transformer** is a type of [Vision Transformer](https://paperswithcode.com/method/vision-transformer) for image classification tasks. The model is trained using a teacher-student strategy specific to transformers. It relies on a distillation token ensuring that the student learns from the teacher through attention.

Source	High Fidelity Speech Synthesis with Adversarial Networks
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com