Who cites «Efficient softmax approximation for GPUs»
- Language Modeling with Gated Convolutional NetworksarXiv:1612.08083Yann N. Dauphin, Angela Fan, Michael Auli, et al.2016 · 1,315 citations
- FastText.zip: Compressing text classification modelsarXiv:1612.03651Armand Joulin, Edouard Grave, Piotr Bojanowski, et al.2016 · 1,214 citations
- Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 554 citations
- Pay Less Attention with Lightweight and Dynamic ConvolutionsarXiv:1901.10430Felix Wu, Angela Fan, Alexei Baevski, et al.2019 · 424 citationsLearning to Write with Cooperative DiscriminatorsAnnual Meeting of the Association for Computational Linguistics (ACL)Ari Holtzman, Jan Buys, Maxwell Forbes, et al.2018 · 301 citationsHAT: Hardware-Aware Transformers for Efficient Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Hanrui Wang, Zhanghao Wu, Zhijian Liu, et al.2020 · 290 citationsStructured Pruning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Wang, Jeremy Wohlwend, Tao Lei2020 · 197 citationsXLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Davis Liang, Hila Gonen, Yuning Mao, et al.2023 · 117 citations
- Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native EnglisharXiv:1810.13088Yan Yin, Ramon Prieto, Bin Wang, et al.2018 · 2 citations
fairseq: A Fast, Extensible Toolkit for Sequence ModelingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Myle Ott, Sergey Edunov, Alexei Baevski, et al.2019 · 3,951 citations
This page in Markdown → https://md.research.elamur.ai/free/en/papers/grave-2016-efficient-softmax-approximation-gpus/cited-by/