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Who cites Geoffrey E. Hinton

11,868 citations of their works from 10,217 papers of our library (of the 149,439 whose bibliographies we read) · 1,205 with a page here, the most cited first · page 4 of 13 · 301–400 · ← Geoffrey E. Hinton

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  1. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningarXiv:1612.06890Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2016 · 464 citations
  2. Deep Keyphrase GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Meng, Sanqiang Zhao, Shuguang Han, et al.2017 · 454 citations
  3. FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingarXiv:1909.11764Chen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 452 citations
  4. Masked Language Model ScoringAnnual Meeting of the Association for Computational Linguistics (ACL)Julian Salazar, Davis Liang, Toan Q. Nguyen, et al.2020 · 447 citations
  5. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  6. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
  7. Pay Less Attention with Lightweight and Dynamic ConvolutionsarXiv:1901.10430Felix Wu, Angela Fan, Alexei Baevski, et al.2019 · 437 citations
  8. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksarXiv:2312.14238Zhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 435 citations
  9. Benchmarking Neural Network Robustness to Common Corruptions and PerturbationsarXiv:1903.12261Dan Hendrycks, Thomas Dietterich2019 · 434 citations
  10. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
  11. Massively Parallel Methods for Deep Reinforcement LearningarXiv:1507.04296Arun Nair, Praveen Srinivasan, Sam Blackwell, et al.2015 · 427 citations
  12. Neural AMR: Sequence-to-Sequence Models for Parsing and GenerationIoannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.2017 · 425 citations
  13. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
  14. Deep Learning: A Critical AppraisalarXiv:1801.00631Gary Marcus2018 · 417 citations
  15. High Fidelity Neural Audio CompressionarXiv:2210.13438Alexandre Defossez, Jade Copet, Gabriel Synnaeve, et al.2022 · 414 citations
  16. Tying Word Vectors and Word Classifiers: A Loss Framework for Language ModelingarXiv:1611.01462Hakan Inan, Khashayar Khosravi, Richard Socher2016 · 414 citations
  17. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language UnderstandingarXiv:1810.02338Kexin Yi, Jiajun Wu, Chuang Gan, et al.2018 · 407 citations
  18. BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsarXiv:2106.10199Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg2021 · 406 citations
  19. A Simple Language Model for Task-Oriented DialoguearXiv:2005.00796Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, et al.2020 · 399 citations
  20. Gender Bias in Neural Natural Language ProcessingLecture notes in computer scienceKaiji Lu, Piotr Mardziel, Fangjing Wu, et al.2018 · 397 citations
  21. Green AIarXiv:1907.10597Roy Schwartz, Jesse Dodge, Noah A. Smith, et al.2019 · 389 citations
  22. Representation Learning: A Review and New PerspectivesarXiv:1206.5538Yoshua Bengio, Aaron Courville, Pascal Vincent2012 · 383 citations
  23. Many Languages, One ParserTransactions of the Association for Computational Linguistics (TACL)Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al.2016 · 382 citations
  24. SQLNet: Generating Structured Queries From Natural Language Without Reinforcement LearningarXiv:1711.04436Xiaojun Xu, Chang Liu, Dawn Song2017 · 372 citations
  25. Training Tips for the Transformer ModelarXiv:1804.00247 · The Prague Bulletin of Mathematical Linguistics 110, April 2018, pp. 43-70Martin Popel, Ondřej Bojar2018 · 370 citations
  26. Revisiting Few-sample BERT Fine-tuningarXiv:2006.05987Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al.2020 · 368 citations
  27. Averaging Weights Leads to Wider Optima and Better GeneralizationarXiv:1803.05407Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, et al.2018 · 366 citations
  28. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferencearXiv:2412.13663Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 358 citations
  29. Exploring Neural Text Simplification ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto, et al.2017 · 353 citations
  30. RobBERT: a Dutch RoBERTa-based Language ModelarXiv:2001.06286Pieter Delobelle, Thomas Winters, Bettina Berendt2020 · 349 citations
  31. Visualizing and Measuring the Geometry of BERTarXiv:1906.02715Andy Coenen, Emily Reif, Ann Yuan, et al.2019 · 349 citations
  32. Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four MinutesarXiv:1807.11205Xianyan Jia, Shutao Song, Wei He, et al.2018 · 348 citations
  33. Teaching Small Language Models to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, et al.2023 · 343 citations
  34. Progress & Compress: A scalable framework for continual learningarXiv:1805.06370Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, et al.2018 · 338 citations
  35. Sentence Compression by Deletion with LSTMsConference on Empirical Methods in Natural Language Processing (EMNLP)Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, et al.2015 · 338 citations
  36. Scaling Speech Technology to 1,000+ LanguagesarXiv:2305.13516Vineel Pratap, Andros Tjandra, Bowen Shi, et al.2023 · 334 citations
  37. Generating Wikipedia by Summarizing Long SequencesarXiv:1801.10198Peter J. Liu, Mohammad Saleh, Etienne Pot, et al.2018 · 334 citations
  38. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 332 citations
  39. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 328 citations
  40. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
  41. Carbon Emissions and Large Neural Network TrainingarXiv:2104.10350David Patterson, Joseph Gonzalez, Quoc Le, et al.2021 · 323 citations
  42. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning AbstractionsarXiv:1802.04730Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, et al.2018 · 323 citations
  43. ALFWorld: Aligning Text and Embodied Environments for Interactive LearningarXiv:2010.03768Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al.2020 · 322 citations
  44. Multi-task Sequence to Sequence LearningarXiv:1511.06114Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al.2015 · 321 citations

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