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Who cites Shaoqing Ren

7,341 citations of their works from 6,228 papers of our library (of the 149,439 whose bibliographies we read) · 307 with a page here, the most cited first · page 1 of 4 · 1–100 · ← Shaoqing Ren

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  1. Very Deep Convolutional Networks for Large-Scale Image RecognitionarXiv:1409.1556Karen Simonyan, Andrew Zisserman2014 · 73,393 citations
  2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine IntelligenceShaoqing Ren, Kaiming He, Ross Girshick, et al.2015 · 65,090 citations
  3. Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsIEEE/CVF International Conference on Computer Vision (ICCV)Ze Liu, Yutong Lin, Yue Cao, et al.2021 · 33,968 citations
  4. An Image is Worth 16x16 Words: Transformers for Image Recognition at ScalearXiv:2010.11929Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, et al.2020 · 23,726 citations
  5. Attention Is All You NeedarXiv:1706.03762Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.2017 · 17,458 citations
  6. Momentum Contrast for Unsupervised Visual Representation LearningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKaiming He, Haoqi Fan, Yuxin Wu, et al.2019 · 13,302 citations
  7. TensorFlow: A system for large-scale machine learningarXiv:1605.08695Martin Abadi, Paul Barham, Jianmin Chen, et al.2016 · 12,711 citations
  8. 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
  9. A Comprehensive Survey on Graph Neural NetworksarXiv:1901.00596Zonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,312 citations
  10. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsarXiv:1704.04861Andrew G. Howard, Menglong Zhu, Bo Chen, et al.2017 · 9,729 citations
  11. Deep Residual Learning for Image RecognitionarXiv:1512.03385Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.2015 · 9,425 citations
  12. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
  13. Semi-Supervised Classification with Graph Convolutional NetworksarXiv:1609.02907Thomas N. Kipf, Max Welling2016 · 9,023 citations
  14. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  15. A Simple Framework for Contrastive Learning of Visual RepresentationsarXiv:2002.05709Ting Chen, Simon Kornblith, Mohammad Norouzi, et al.2020 · 8,000 citations
  16. Representation Learning with Contrastive Predictive CodingarXiv:1807.03748Aaron van den Oord, Yazhe Li, Oriol Vinyals2018 · 7,022 citations
  17. Learning Transferable Architectures for Scalable Image RecognitionIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBarret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.2017 · 6,583 citations
  18. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer VisionRamprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al.2016 · 6,394 citations
  19. Emerging Properties in Self-Supervised Vision TransformersIEEE/CVF International Conference on Computer Vision (ICCV)Mathilde Caron, Hugo Touvron, Ishan Misra, et al.2021 · 6,046 citations
  20. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image AnnotationsInternational Journal of Computer VisionRanjay Krishna, Yuke Zhu, Oliver Groth, et al.2016 · 5,876 citations
  21. EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML)Mingxing Tan, Quoc V. Le2019 · 5,416 citations
  22. WaveNet: A Generative Model for Raw AudioarXiv:1609.03499Aaron van den Oord, Sander Dieleman, Heiga Zen, et al.2016 · 5,269 citations
  23. mixup: Beyond Empirical Risk MinimizationarXiv:1710.09412Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al.2017 · 4,928 citations
  24. Inductive Representation Learning on Large GraphsarXiv:1706.02216William L. Hamilton, Rex Ying, Jure Leskovec2017 · 4,795 citations
  25. Billion-scale similarity search with GPUsIEEE Transactions on Big DataJeff Johnson, Matthijs Douze, Hervé Jégou2017 · 4,728 citations
  26. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
  27. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  28. Convolutional Sequence to Sequence LearningarXiv:1705.03122Jonas Gehring, Michael Auli, David Grangier, et al.2017 · 3,042 citations
  29. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?arXiv:1703.04977Alex Kendall, Yarin Gal2017 · 2,870 citations
  30. LXMERT: Learning Cross-Modality Encoder Representations from TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Tan, Mohit Bansal2019 · 2,789 citations
  31. Self-critical Sequence Training for Image CaptioningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionSteven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al.2016 · 2,404 citations
  32. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)arXiv:1511.07289Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter2015 · 2,314 citations
  33. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksarXiv:1908.02265Jiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,302 citations
  34. Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Shashi Narayan, Shay B. Cohen, Mirella Lapata2018 · 2,149 citations
  35. GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question AnsweringIEEE Computer Society Conference on Computer Vision and Pattern RecognitionDrew A. Hudson, Christopher D. Manning2019 · 2,078 citations
  36. Focal Loss for Dense Object DetectionarXiv:1708.02002Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.2017 · 1,995 citations
  37. Incorporating Copying Mechanism in Sequence-to-Sequence LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiatao Gu, Zhengdong Lu, Hang Li, et al.2016 · 1,915 citations
  38. Oscar: Object-Semantics Aligned Pre-training for Vision-Language TasksLecture notes in computer scienceXiujun Li, Xi Yin, Chunyuan Li, et al.2020 · 1,877 citations
  39. Towards Deep Learning Models Resistant to Adversarial AttacksarXiv:1706.06083Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, et al.2017 · 1,874 citations
  40. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
  41. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,755 citations
  42. VisualBERT: A Simple and Performant Baseline for Vision and LanguagearXiv:1908.03557Liunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,568 citations
  43. Zero-Shot Text-to-Image GenerationarXiv:2102.12092Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,528 citations
  44. Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionPeter Anderson, Qi Wu, Damien Teney, et al.2017 · 1,414 citations
  45. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
  46. Language Modeling with Gated Convolutional NetworksarXiv:1612.08083Yann N. Dauphin, Angela Fan, Michael Auli, et al.2016 · 1,346 citations
  47. Adversarial NLI: A New Benchmark for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Adina Williams, Emily Dinan, et al.2020 · 1,296 citations
  48. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  49. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question AnsweringInternational Journal of Computer VisionYash Goyal, Tejas Khot, Douglas Summers-Stay, et al.2016 · 1,281 citations
  50. Modeling Context in Referring ExpressionsLecture notes in computer scienceLicheng Yu, Patrick Poirson, Shan Yang, et al.2016 · 1,203 citations
  51. MASS: Masked Sequence to Sequence Pre-training for Language GenerationarXiv:1905.02450Kaitao Song, Xu Tan, Tao Qin, et al.2019 · 1,143 citations
  52. MS MARCO: A Human Generated MAchine Reading COmprehension DatasetarXiv:1611.09268Payal Bajaj, Daniel Campos, Nick Craswell, et al.2016 · 1,138 citations
  53. Very Deep Convolutional Networks for Text ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL)Alexis Conneau, Holger Schwenk, Loïc Barrault, et al.2017 · 1,094 citations
  54. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
  55. BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainarXiv:1708.06733Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg2017 · 1,024 citations
  56. MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.2020 · 1,016 citations
  57. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIIEEE Computer Society Conference on Computer Vision and Pattern RecognitionXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 1,005 citations
  58. U-Net: Convolutional Networks for Biomedical Image SegmentationarXiv:1505.04597Olaf Ronneberger, Philipp Fischer, Thomas Brox2015 · 997 citations
  59. Generating Long Sequences with Sparse TransformersarXiv:1904.10509Rewon Child, Scott Gray, Alec Radford, et al.2019 · 967 citations
  60. Segment AnythingarXiv:2304.02643Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 960 citations
  61. LayoutLM: Pre-training of Text and Layout for Document Image UnderstandingarXiv:1912.13318Yiheng Xu, Minghao Li, Lei Cui, et al.2019 · 896 citations
  62. End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRFarXiv:1603.01354Xuezhe Ma, Eduard Hovy2016 · 868 citations
  63. DocVQA: A Dataset for VQA on Document ImagesarXiv:2007.00398Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar2020 · 844 citations
  64. Scaling Neural Machine TranslationConference on Machine Translation: Research PapersMyle Ott, Sergey Edunov, David Grangier, et al.2018 · 826 citations
  65. Learning Deep Transformer Models for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Qiang Wang, Bei Li, Tong Xiao, et al.2019 · 810 citations
  66. ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionarXiv:2102.03334Wonjae Kim, Bokyung Son, Ildoo Kim2021 · 804 citations
  67. Achieving Human Parity on Automatic Chinese to English News TranslationarXiv:1803.05567Hany Hassan, Anthony Aue, Chang Chen, et al.2018 · 799 citations
  68. LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingACM International Conference on Multimedia (ACM MM)Yupan Huang, Tengchao Lv, Lei Cui, et al.2022 · 778 citations
  69. ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningFindings of the Association for Computational LinguisticsAhmed Masry, Do Xuan Long, Jia Qing Tan, et al.2022 · 774 citations
  70. ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday TasksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer;, Dieter Fox2019 · 765 citations
  71. SentEval: An Evaluation Toolkit for Universal Sentence RepresentationsLanguage Resources and Evaluation Conference (LREC)Alexis Conneau, Douwe Kiela2018 · 747 citations
  72. Dice Loss for Data-imbalanced NLP TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoya Li, Xiaofei Sun, Yuxian Meng, et al.2020 · 735 citations
  73. Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsMAPL 2019Philippe Tillet, H. T. Kung, David Cox2019 · 729 citations
  74. Generating Radiology Reports via Memory-driven TransformerConference on Empirical Methods in Natural Language Processing (EMNLP)Zhihong Chen, Yan Song, Tsung-Hui Chang, et al.2020 · 715 citations
  75. Learning multiple visual domains with residual adaptersarXiv:1705.08045Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi2017 · 694 citations
  76. TVQA: Localized, Compositional Video Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Jie Lei, Licheng Yu, Mohit Bansal, et al.2018 · 687 citations
  77. Highway NetworksarXiv:1505.00387Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber2015 · 680 citations
  78. Similarity of Neural Network Representations RevisitedarXiv:1905.00414Simon Kornblith, Mohammad Norouzi, Honglak Lee, et al.2019 · 679 citations
  79. A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 670 citations
  80. CoCa: Contrastive Captioners are Image-Text Foundation ModelsarXiv:2205.01917Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 667 citations
  81. Pointing the Unknown WordsAnnual Meeting of the Association for Computational Linguistics (ACL)Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.2016 · 651 citations
  82. Object Hallucination in Image CaptioningConference on Empirical Methods in Natural Language Processing (EMNLP)Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al.2018 · 626 citations
  83. Towards a Unified View of Parameter-Efficient Transfer LearningarXiv:2110.04366Junxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 619 citations
  84. Transformation Networks for Target-Oriented Sentiment ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Li, Lidong Bing, Wai Lam, et al.2018 · 600 citations
  85. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 596 citations
  86. Dissecting Contextual Word Embeddings: Architecture and RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.2018 · 592 citations
  87. OCR-free Document Understanding TransformerLecture notes in computer scienceGeewook Kim, Teakgyu Hong, Moonbin Yim, et al.2021 · 584 citations
  88. Massive Exploration of Neural Machine Translation ArchitecturesConference on Empirical Methods in Natural Language Processing (EMNLP)Denny Britz, Anna Goldie, Minh-Thang Luong, et al.2017 · 574 citations
  89. Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative RefinementConference on Empirical Methods in Natural Language Processing (EMNLP)Jason Lee, Elman Mansimov, Kyunghyun Cho2018 · 568 citations
  90. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 560 citations
  91. The Best of Both Worlds: Combining Recent Advances in Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Mia Xu Chen, Orhan Firat, Ankur Bapna, et al.2018 · 559 citations
  92. Simple, Scalable Adaptation for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Ankur Bapna, Orhan Firat2019 · 530 citations
  93. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 524 citations
  94. Deep Learning Scaling is Predictable, EmpiricallyarXiv:1712.00409Joel Hestness, Sharan Narang, Newsha Ardalani, et al.2017 · 518 citations
  95. DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)John Giorgi, Osvald Nitski, Bo Wang, et al.2021 · 516 citations
  96. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  97. A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeLecture notes in computer scienceDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 509 citations
  98. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  99. A Convolutional Encoder Model for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Jonas Gehring, Michael Auli, David Grangier, et al.2017 · 492 citations
  100. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations

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