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Who cites «Dropout: A Simple Way to Prevent Neural Networks from Overfitting»

2,041 papers of our library cite it (of the 149,439 whose bibliographies we read) · 242 with a page here, the most cited first · page 1 of 3 · 1–100 · ← back to «Dropout: A Simple Way to Prevent Neural Networks from Overfitting»

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  1. Attention Is All You NeedarXiv:1706.03762Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.2017 · 17,458 citations
  2. Distilling the Knowledge in a Neural NetworkarXiv:1503.02531Geoffrey Hinton, Oriol Vinyals, Jeff Dean2015 · 15,229 citations
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
  4. YOLOv4: Optimal Speed and Accuracy of Object DetectionarXiv:2004.10934Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao2020 · 10,403 citations
  5. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
  6. Semi-Supervised Classification with Graph Convolutional NetworksarXiv:1609.02907Thomas N. Kipf, Max Welling2016 · 9,023 citations
  7. Explaining and Harnessing Adversarial ExamplesarXiv:1412.6572Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy2014 · 8,577 citations
  8. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  9. mixup: Beyond Empirical Risk MinimizationarXiv:1710.09412Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al.2017 · 4,928 citations
  10. Conformer: Convolution-augmented Transformer for Speech RecognitionInterspeechAnmol Gulati, James Qin, Chung-Cheng Chiu, et al.2020 · 3,475 citations
  11. Convolutional Sequence to Sequence LearningarXiv:1705.03122Jonas Gehring, Michael Auli, David Grangier, et al.2017 · 3,042 citations
  12. 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
  13. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  14. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1arXiv:1602.02830Matthieu Courbariaux, Itay Hubara, Daniel Soudry, et al.2016 · 2,143 citations
  15. Bidirectional Attention Flow for Machine ComprehensionarXiv:1611.01603Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.2016 · 1,988 citations
  16. BinaryConnect: Training Deep Neural Networks with binary weights during propagationsarXiv:1511.00363Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David2015 · 1,885 citations
  17. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and ActivationsarXiv:1609.07061Itay Hubara, Matthieu Courbariaux, Daniel Soudry, et al.2016 · 1,610 citations
  18. On the Convergence of Adam and BeyondarXiv:1904.09237Sashank J. Reddi, Satyen Kale, Sanjiv Kumar2019 · 1,598 citations
  19. Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsarXiv:1411.2539Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,371 citations
  20. Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement LearningarXiv:1709.00103Victor Zhong, Caiming Xiong, Richard Socher2017 · 1,226 citations
  21. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
  22. A Theoretically Grounded Application of Dropout in Recurrent Neural NetworksarXiv:1512.05287Yarin Gal, Zoubin Ghahramani2015 · 1,032 citations
  23. Segment AnythingarXiv:2304.02643Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 960 citations
  24. End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRFarXiv:1603.01354Xuezhe Ma, Eduard Hovy2016 · 868 citations
  25. Scaling Neural Machine TranslationConference on Machine Translation: Research PapersMyle Ott, Sergey Edunov, David Grangier, et al.2018 · 826 citations
  26. TuckER: Tensor Factorization for Knowledge Graph CompletionarXiv:1901.09590Ivana Balažević, Carl Allen, Timothy M. Hospedales2019 · 799 citations
  27. SoundStream: An End-to-End Neural Audio CodecIEEE/ACM Transactions on Audio Speech and Language ProcessingNeil Zeghidour, Alejandro Luebs, Ahmed Omran, et al.2021 · 733 citations
  28. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural NetworksarXiv:1802.08232Nicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.2018 · 692 citations
  29. PathNet: Evolution Channels Gradient Descent in Super Neural NetworksarXiv:1701.08734Chrisantha Fernando, Dylan Banarse, Charles Blundell, et al.2017 · 667 citations
  30. How Powerful are Graph Neural Networks?arXiv:1810.00826Keyulu Xu, Weihua Hu, Jure Leskovec, et al.2018 · 655 citations
  31. Regularizing and Optimizing LSTM Language ModelsarXiv:1708.02182Stephen Merity, Nitish Shirish Keskar, Richard Socher2017 · 633 citations
  32. Dynamic Coattention Networks For Question AnsweringarXiv:1611.01604Caiming Xiong, Victor Zhong, Richard Socher2016 · 596 citations
  33. Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesarXiv:1907.05019Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 564 citations
  34. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 560 citations
  35. SearchQA: A New Q&A Dataset Augmented with Context from a Search EnginearXiv:1704.05179Matthew Dunn, Levent Sagun, Mike Higgins, et al.2017 · 555 citations
  36. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  37. Deep Exploration via Bootstrapped DQNarXiv:1602.04621Ian Osband, Charles Blundell, Alexander Pritzel, et al.2016 · 490 citations
  38. 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
  39. FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingarXiv:1909.11764Chen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 452 citations
  40. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  41. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
  42. Many Languages, One ParserTransactions of the Association for Computational Linguistics (TACL)Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al.2016 · 382 citations
  43. Revisiting Few-sample BERT Fine-tuningarXiv:2006.05987Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al.2020 · 368 citations
  44. Averaging Weights Leads to Wider Optima and Better GeneralizationarXiv:1803.05407Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, et al.2018 · 366 citations
  45. 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
  46. RobBERT: a Dutch RoBERTa-based Language ModelarXiv:2001.06286Pieter Delobelle, Thomas Winters, Bettina Berendt2020 · 349 citations
  47. 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
  48. 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
  49. Learning to Mine Aligned Code and Natural Language Pairs from Stack OverflowarXiv:1805.08949Pengcheng Yin, Bowen Deng, Edgar Chen, et al.2018 · 308 citations
  50. Overcoming Catastrophic Forgetting by Incremental Moment MatchingarXiv:1703.08475Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, et al.2017 · 298 citations
  51. Hierarchical Multiscale Recurrent Neural NetworksarXiv:1609.01704Junyoung Chung, Sungjin Ahn, Yoshua Bengio2016 · 288 citations

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