David Grangier
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Speech Recognition and Synthesis, Advanced Image and Video Retrieval Techniques
Most-Cited Works
- → fairseq: A Fast, Extensible Toolkit for Sequence Modeling(2019)2,487 cited
- → Convolutional Sequence to Sequence Learning(2017)1,901 cited
- → Language Modeling with Gated Convolutional Networks(2016)1,120 cited
- → Understanding Back-Translation at Scale(2018)1,010 cited
- → A Convolutional Encoder Model for Neural Machine Translation(2017)430 cited
- → A Discriminative Kernel-Based Approach to Rank Images from Text Queries(2008)326 cited
- → AudioLM: A Language Modeling Approach to Audio Generation(2023)322 cited
- → ELI5: Long Form Question Answering(2019)297 cited