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Who cites Rupesh Kumar Srivastava

356 citations of their works from 342 papers of our library (of the 149,439 whose bibliographies we read) · 57 with a page here, the most cited first · ← Rupesh Kumar Srivastava

  1. Deep Residual Learning for Image RecognitionarXiv:1512.03385Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.2015 · 9,425 citations
  2. Character-level Convolutional Networks for Text ClassificationarXiv:1509.01626Xiang Zhang, Junbo Zhao, Yann LeCun2015 · 4,827 citations
  3. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
  4. Deep Networks with Stochastic DepthLecture notes in computer scienceGao Huang, Yu Sun, Zhuang Liu, et al.2016 · 2,160 citations
  5. Bidirectional Attention Flow for Machine ComprehensionarXiv:1611.01603Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.2016 · 1,988 citations
  6. Pointer Sentinel Mixture ModelsarXiv:1609.07843Stephen Merity, Caiming Xiong, James Bradbury, et al.2016 · 1,733 citations
  7. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention TransferarXiv:1612.03928Sergey Zagoruyko, Nikos Komodakis2016 · 1,542 citations
  8. Deep Biaffine Attention for Neural Dependency ParsingTimothy Dozat, Christopher D. Manning2016 · 1,326 citations
  9. Modeling Context in Referring ExpressionsLecture notes in computer scienceLicheng Yu, Patrick Poirson, Shan Yang, et al.2016 · 1,203 citations
  10. Visualizing and Understanding Recurrent NetworksarXiv:1506.02078Andrej Karpathy, Justin Johnson, Li Fei-Fei2015 · 954 citations
  11. Efficient Neural Architecture Search via Parameter SharingarXiv:1802.03268Hieu Pham, Melody Y. Guan, Barret Zoph, et al.2018 · 699 citations
  12. Regularizing and Optimizing LSTM Language ModelsarXiv:1708.02182Stephen Merity, Nitish Shirish Keskar, Richard Socher2017 · 633 citations
  13. QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionarXiv:1804.09541Adams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 597 citations
  14. Learning Structured Sparsity in Deep Neural NetworksarXiv:1608.03665Wei Wen, Chunpeng Wu, Yandan Wang, et al.2016 · 530 citations
  15. Deep Learning Scaling is Predictable, EmpiricallyarXiv:1712.00409Joel Hestness, Sharan Narang, Newsha Ardalani, et al.2017 · 518 citations
  16. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  17. Tying Word Vectors and Word Classifiers: A Loss Framework for Language ModelingarXiv:1611.01462Hakan Inan, Khashayar Khosravi, Richard Socher2016 · 414 citations
  18. Compressive Transformers for Long-Range Sequence ModellingarXiv:1911.05507Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar, et al.2019 · 340 citations
  19. xLSTM: Extended Long Short-Term MemoryConference on Neural Information Processing Systems (NeurIPS)Maximilian Beck, Korbinian Pöppel, Markus Spanring, et al.2024 · 296 citations
  20. Hierarchical Multiscale Recurrent Neural NetworksarXiv:1609.01704Junyoung Chung, Sungjin Ahn, Yoshua Bengio2016 · 288 citations
  21. Improving Neural Language Models with a Continuous CachearXiv:1612.04426Edouard Grave, Armand Joulin, Nicolas Usunier2016 · 179 citations
  22. Recurrent Highway NetworksarXiv:1607.03474Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnik, et al.2016 · 147 citations
  23. Data Augmentation for Morphological ReinflectionConference on Computational Natural Language Learning (CoNLL)Miikka Silfverberg, Adam Wiemerslage, Ling Liu, et al.2017 · 122 citations
  24. Universal Dependencies Parsing for Colloquial Singaporean EnglishHongmin Wang, Yue Zhang, GuangYong Leonard Chan, et al.2017 · 49 citations
  25. Morphosyntactic probing of multilingual BERT modelsNatural Language EngineeringJudit Acs, Endre Hamerlik, Roy Schwartz, et al.2023 · 26 citations

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