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Who cites Shakir Mohamed

797 citations of their works from 699 papers of our library (of the 149,439 whose bibliographies we read) · 48 with a page here, the most cited first · ← Shakir Mohamed

  1. Auto-Encoding Variational BayesarXiv:1312.6114Diederik P Kingma, Max Welling2013 · 15,450 citations
  2. Generative Adversarial NetsIan J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, et al.2014 · 5,790 citations
  3. Categorical Reparameterization with Gumbel-SoftmaxarXiv:1611.01144Eric Jang, Shixiang Gu, Ben Poole2016 · 3,656 citations
  4. Generating Sentences from a Continuous SpaceConference on Computational Natural Language Learning (CoNLL)Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.2016 · 2,435 citations
  5. High-Resolution Image Synthesis with Latent Diffusion ModelsarXiv:2112.10752Robin Rombach, Andreas Blattmann, Dominik Lorenz, et al.2021 · 1,996 citations
  6. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
  7. Deep Unsupervised Learning using Nonequilibrium ThermodynamicsarXiv:1503.03585Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, et al.2015 · 1,761 citations
  8. The Concrete Distribution: A Continuous Relaxation of Discrete Random VariablesarXiv:1611.00712Chris J. Maddison, Andriy Mnih, Yee Whye Teh2016 · 1,629 citations
  9. Improved Techniques for Training GANsarXiv:1606.03498Tim Salimans, Ian Goodfellow, Wojciech Zaremba, et al.2016 · 1,558 citations
  10. Zero-Shot Text-to-Image GenerationarXiv:2102.12092Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,528 citations
  11. Variational Inference with Normalizing FlowsDanilo Jimenez Rezende, Shakir Mohamed2015 · 1,441 citations
  12. Generative Modeling by Estimating Gradients of the Data DistributionarXiv:1907.05600Yang Song, Stefano Ermon2019 · 1,274 citations
  13. A Theoretically Grounded Application of Dropout in Recurrent Neural NetworksarXiv:1512.05287Yarin Gal, Zoubin Ghahramani2015 · 1,032 citations
  14. DRAW: A Recurrent Neural Network For Image GenerationarXiv:1502.04623Karol Gregor, Ivo Danihelka, Alex Graves, et al.2015 · 947 citations
  15. Denoising Diffusion Implicit ModelsarXiv:2010.02502Jiaming Song, Chenlin Meng, Stefano Ermon2020 · 576 citations
  16. Toward Controlled Generation of TextarXiv:1703.00955Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.2017 · 537 citations
  17. Diffusion-LM Improves Controllable Text GenerationarXiv:2205.14217Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.2022 · 440 citations
  18. Learning Latent Dynamics for Planning from PixelsarXiv:1811.04551Danijar Hafner, Timothy Lillicrap, Ian Fischer, et al.2018 · 394 citations
  19. The Next Decade in AI: Four Steps Towards Robust Artificial IntelligencearXiv:2002.06177Gary Marcus2020 · 332 citations
  20. Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified FlowarXiv:2209.03003Xingchao Liu, Chengyue Gong, Qiang Liu2022 · 315 citations
  21. Structured Denoising Diffusion Models in Discrete State-SpacesarXiv:2107.03006Jacob Austin, Daniel D. Johnson, Jonathan Ho, et al.2021 · 284 citations
  22. Survey of Low-Resource Machine TranslationComputational LinguisticsBarry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.2022 · 251 citations
  23. A Deep Generative Framework for Paraphrase GenerationarXiv:1709.05074Ankush Gupta, Arvind Agarwal, Prawaan Singh, et al.2017 · 233 citations
  24. AlphaEvolve: A coding agent for scientific and algorithmic discoveryarXiv:2506.13131Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.2025 · 202 citations
  25. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 172 citations
  26. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
  27. PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image SynthesisarXiv:2310.00426Junsong Chen, Jincheng Yu, Chongjian Ge, et al.2023 · 87 citations
  28. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations
  29. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Acta Automatica Sinica (自动化学报)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026

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