| XTREME-S: Evaluating Cross-lingual Speech Representations | 0 | 0.34 | 2022 |
| Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation | 0 | 0.34 | 2022 |
| XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale | 0 | 0.34 | 2022 |
| Larger-Scale Transformers For Multilingual Masked Language Modeling | 0 | 0.34 | 2021 |
| Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. | 0 | 0.34 | 2021 |
| Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning | 0 | 0.34 | 2021 |
| Unsupervised Cross-Lingual Representation Learning for Speech Recognition. | 5 | 0.41 | 2021 |
| Self-training Improves Pre-training for Natural Language Understanding | 0 | 0.34 | 2021 |
| Large-Scale Self- and Semi-Supervised Learning for Speech Translation. | 0 | 0.34 | 2021 |
| SELF-TRAINING AND PRE-TRAINING ARE COMPLEMENTARY FOR SPEECH RECOGNITION | 0 | 0.34 | 2021 |
| Unsupervised Cross-lingual Representation Learning at Scale | 5 | 0.44 | 2020 |
| CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data | 2 | 0.36 | 2020 |
| Emerging Cross-lingual Structure in Pretrained Language Models | 0 | 0.34 | 2020 |
| Cross-lingual Language Model Pretraining | 6 | 0.42 | 2019 |
| What You Can Cram Into A Single $&!#* Vector: Probing Sentence Embeddings For Linguistic Properties | 20 | 0.65 | 2018 |
| XNLI: Evaluating Cross-lingual Sentence Representations. | 12 | 0.56 | 2018 |
| Word translation without parallel data. | 0 | 0.34 | 2018 |
| Learning Visually Grounded Sentence Representations. | 6 | 0.49 | 2018 |
| Unsupervised Machine Translation Using Monolingual Corpora Only. | 0 | 0.34 | 2018 |
| Phrase-Based & Neural Unsupervised Machine Translation. | 22 | 0.63 | 2018 |
| SentEval: An Evaluation Toolkit for Universal Sentence Representations. | 13 | 0.51 | 2018 |
| Supervised Learning of Universal Sentence Representations from Natural Language Inference Data. | 147 | 3.54 | 2017 |
| Word Translation Without Parallel Data. | 40 | 0.93 | 2017 |
| Very Deep Convolutional Networks for Natural Language Processing. | 18 | 0.75 | 2016 |
| Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation. | 46 | 1.30 | 2016 |
