Please enter a description about the method here

**XLM** is a [Transformer](https://paperswithcode.com/method/transformer) based architecture that is pre-trained using one of three language modelling objectives:

1. Causal Language Modeling - models the probability of a word given the previous words in a sentence.
2. Masked Language Modeling - the masked language modeling objective of [BERT](https://paperswithcode.com/method/bert).
3. Translation Language Modeling - a (new) translation language modeling objective for improving cross-lingual pre-training.

The authors find that both the CLM and MLM approaches provide strong cross-lingual features that can be used for pretraining models.

Cross-lingual Language Model Pretraining

Library

0/1 Deep Neural Networks via Block Coordinate Descent

**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.

Source	0/1 Deep Neural Networks via Block Coordinate Descent
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com