🧑‍🔬 Who cites Moustapha Cisse

392 citations of their works from 391 papers of our library (of the 141,840 whose bibliographies we read) · 27 with a page here, the most cited first · ← Moustapha Cisse

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
1. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,845 citations
2. Language Modeling with Gated Convolutional NetworksarXiv:1612.08083Yann N. Dauphin, Angela Fan, Michael Auli, et al.2016 · 1,315 citations
3. FastText.zip: Compressing text classification modelsarXiv:1612.03651Armand Joulin, Edouard Grave, Piotr Bojanowski, et al.2016 · 1,214 citations
   Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
4. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 937 citations
5. ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionarXiv:2102.03334Wonjae Kim, Bokyung Son, Ildoo Kim2021 · 768 citations
6. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 554 citations
7. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 476 citations
8. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 469 citations
9. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 455 citations
10. Pay Less Attention with Lightweight and Dynamic ConvolutionsarXiv:1901.10430Felix Wu, Angela Fan, Alexei Baevski, et al.2019 · 424 citations
    MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaao Chen, Zichao Yang, Diyi Yang2020 · 413 citations
11. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 412 citations
12. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 328 citations
    Good-Enough Compositional Data AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jacob Andreas2020 · 307 citations
    Learning to Write with Cooperative DiscriminatorsAnnual Meeting of the Association for Computational Linguistics (ACL)Ari Holtzman, Jan Buys, Maxwell Forbes, et al.2018 · 301 citations
    HAT: 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 citations
    GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationFindings of the Association for Computational LinguisticsKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 268 citations
    An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL)Jiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 253 citations
    Supporting Clustering with Contrastive LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dejiao Zhang, Feng Nan, Xiaokai Wei, et al.2021 · 239 citations
    Structured Pruning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Wang, Jeremy Wohlwend, Tao Lei2020 · 197 citations
    Measure and Improve Robustness in NLP Models: A SurveyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
    STEMM: Self-learning with Speech-text Manifold Mixup for Speech TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Qingkai Fang, Rong Ye, Lei Li, et al.2022 · 133 citations
    XLM-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
    Sequence-to-Sequence Data Augmentation for Dialogue Language UnderstandingInternational Conference on Computational Linguistics (COLING)Yutai Hou, Yijia Liu, Wanxiang Che, et al.2018 · 87 citations
13. 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

364 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/moustapha-cisse/cited-by/