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Who cites Alex Krizhevsky

4,603 citations of their works from 4,289 papers of our library (of the 149,439 whose bibliographies we read) · 472 with a page here, the most cited first · page 1 of 5 · 1–100 · ← Alex Krizhevsky

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  1. Adam: A Method for Stochastic OptimizationarXiv:1412.6980Diederik P. Kingma, Jimmy Ba2014 · 90,277 citations
  2. Very Deep Convolutional Networks for Large-Scale Image RecognitionarXiv:1409.1556Karen Simonyan, Andrew Zisserman2014 · 73,393 citations
  3. Dropout: A Simple Way to Prevent Neural Networks from OverfittingJMLR 15(56):1929–1958Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, et al.2014 · 34,422 citations
  4. 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
  5. Rich feature hierarchies for accurate object detection and semantic segmentationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionRoss Girshick, Jeff Donahue, Trevor Darrell, et al.2013 · 31,930 citations
  6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, et al.2014 · 26,725 citations
  7. 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
  8. Sequence to Sequence Learning with Neural NetworksarXiv:1409.3215Ilya Sutskever, Oriol Vinyals, Quoc V. Le2014 · 18,409 citations
  9. Attention Is All You NeedarXiv:1706.03762Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.2017 · 17,458 citations
  10. Convolutional Neural Networks for Sentence ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Yoon Kim2014 · 16,299 citations
  11. Distilling the Knowledge in a Neural NetworkarXiv:1503.02531Geoffrey Hinton, Oriol Vinyals, Jeff Dean2015 · 15,229 citations
  12. Deep Contextualized Word RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.2018 · 14,944 citations
  13. TensorFlow: A system for large-scale machine learningarXiv:1605.08695Martin Abadi, Paul Barham, Jianmin Chen, et al.2016 · 12,711 citations
  14. 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
  15. YOLOv4: Optimal Speed and Accuracy of Object DetectionarXiv:2004.10934Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao2020 · 10,403 citations
  16. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsarXiv:1704.04861Andrew G. Howard, Menglong Zhu, Bo Chen, et al.2017 · 9,729 citations
  17. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsarXiv:1603.04467Martín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,512 citations
  18. Deep Residual Learning for Image RecognitionarXiv:1512.03385Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.2015 · 9,425 citations
  19. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
  20. Semi-Supervised Classification with Graph Convolutional NetworksarXiv:1609.02907Thomas N. Kipf, Max Welling2016 · 9,023 citations
  21. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  22. Explaining and Harnessing Adversarial ExamplesarXiv:1412.6572Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy2014 · 8,577 citations
  23. A Simple Framework for Contrastive Learning of Visual RepresentationsarXiv:2002.05709Ting Chen, Simon Kornblith, Mohammad Norouzi, et al.2020 · 8,000 citations
  24. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  25. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  26. Representation Learning with Contrastive Predictive CodingarXiv:1807.03748Aaron van den Oord, Yazhe Li, Oriol Vinyals2018 · 7,022 citations
  27. 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
  28. 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
  29. Intriguing properties of neural networksarXiv:1312.6199Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, et al.2013 · 5,999 citations
  30. 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
  31. Generative Adversarial NetsIan J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, et al.2014 · 5,790 citations
  32. A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Adina Williams, Nikita Nangia, Samuel R. Bowman2018 · 5,551 citations
  33. EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML)Mingxing Tan, Quoc V. Le2019 · 5,416 citations
  34. Neural Architectures for Named Entity RecognitionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, et al.2016 · 5,319 citations
  35. A large annotated corpus for learning natural language inferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Samuel R. Bowman, Gabor Angeli, Christopher Potts, et al.2015 · 5,299 citations
  36. Microsoft COCO: Common Objects in ContextarXiv:1405.0312Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.2014 · 5,131 citations
  37. mixup: Beyond Empirical Risk MinimizationarXiv:1710.09412Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al.2017 · 4,928 citations
  38. Character-level Convolutional Networks for Text ClassificationarXiv:1509.01626Xiang Zhang, Junbo Zhao, Yann LeCun2015 · 4,827 citations
  39. Billion-scale similarity search with GPUsIEEE Transactions on Big DataJeff Johnson, Matthijs Douze, Hervé Jégou2017 · 4,728 citations
  40. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
  41. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural NetworksLecture notes in computer scienceMohammad Rastegari, Vicente Ordonez, Joseph Redmon, et al.2016 · 4,402 citations
  42. Caffe: Convolutional Architecture for Fast Feature EmbeddingarXiv:1408.5093Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al.2014 · 4,209 citations
  43. SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,942 citations
  44. Neural Message Passing for Quantum ChemistryarXiv:1704.01212Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.2017 · 3,793 citations
  45. Conformer: Convolution-augmented Transformer for Speech RecognitionInterspeechAnmol Gulati, James Qin, Chung-Cheng Chiu, et al.2020 · 3,475 citations
  46. DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionarXiv:1310.1531Jeff Donahue, Yangqing Jia, Oriol Vinyals, et al.2013 · 3,463 citations
  47. Scaling Laws for Neural Language ModelsarXiv:2001.08361Jared Kaplan, Sam McCandlish, Tom Henighan, et al.2020 · 3,434 citations
  48. A Neural Attention Model for Abstractive Sentence SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Alexander M. Rush, Sumit Chopra, Jason Weston2015 · 3,390 citations
  49. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  50. Convolutional Sequence to Sequence LearningarXiv:1705.03122Jonas Gehring, Michael Auli, David Grangier, et al.2017 · 3,042 citations
  51. ImageNet Classification with Deep Convolutional Neural NetworksNeurIPS 2012Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton2012 · 2,801 citations
  52. Revisiting Unreasonable Effectiveness of Data in Deep Learning EraIEEE International Conference on Computer Vision (ICCV)Chen Sun, Abhinav Shrivastava, Saurabh Singh, et al.2017 · 2,512 citations
  53. 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
  54. Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image CaptioningAnnual Meeting of the Association for Computational Linguistics (ACL)Piyush Sharma, Nan Ding, Sebastian Goodman, et al.2018 · 2,348 citations
  55. Deep Speech 2: End-to-End Speech Recognition in English and MandarinarXiv:1512.02595Dario Amodei, Rishita Anubhai, Eric Battenberg, et al.2015 · 2,341 citations
  56. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  57. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)arXiv:1511.07289Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter2015 · 2,314 citations
  58. A Fast and Accurate Dependency Parser using Neural NetworksDanqi Chen, Christopher Manning2014 · 2,314 citations
  59. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Peng Zhou, Wei Shi, Jun Tian, et al.2016 · 2,219 citations
  60. Deep Networks with Stochastic DepthLecture notes in computer scienceGao Huang, Yu Sun, Zhuang Liu, et al.2016 · 2,160 citations
  61. Stacked Attention Networks for Image Question AnsweringIEEE Computer Society Conference on Computer Vision and Pattern RecognitionZichao Yang, Xiaodong He, Jianfeng Gao, et al.2015 · 2,157 citations
  62. 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
  63. Designing Network Design SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionIlija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, et al.2020 · 2,040 citations
  64. Focal Loss for Dense Object DetectionarXiv:1708.02002Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.2017 · 1,995 citations
  65. Bidirectional Attention Flow for Machine ComprehensionarXiv:1611.01603Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.2016 · 1,988 citations
  66. Microsoft COCO Captions: Data Collection and Evaluation ServerarXiv:1504.00325Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.2015 · 1,948 citations
  67. BinaryConnect: Training Deep Neural Networks with binary weights during propagationsarXiv:1511.00363Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David2015 · 1,885 citations
  68. Towards Deep Learning Models Resistant to Adversarial AttacksarXiv:1706.06083Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, et al.2017 · 1,874 citations
  69. Character-Aware Neural Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceYoon Kim, Yacine Jernite, David Sontag, et al.2015 · 1,874 citations
  70. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
  71. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,819 citations
  72. Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
  73. DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth GradientsarXiv:1606.06160Shuchang Zhou, Yuxin Wu, Zekun Ni, et al.2016 · 1,762 citations
  74. YFCC100M: The New Data in Multimedia ResearchCommunications of the ACMBart Thomee, David A. Shamma, Gerald Friedland, et al.2015 · 1,671 citations
  75. 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
  76. Memory Aware Synapses: Learning what (not) to forgetLecture notes in computer scienceRahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, et al.2017 · 1,608 citations
  77. End-to-End Relation Extraction using LSTMs on Sequences and Tree StructuresAnnual Meeting of the Association for Computational Linguistics (ACL)Makoto Miwa, Mohit Bansal2016 · 1,606 citations
  78. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
  79. On the Convergence of Adam and BeyondarXiv:1904.09237Sashank J. Reddi, Satyen Kale, Sanjiv Kumar2019 · 1,598 citations
  80. Subword Regularization: Improving Neural Network Translation Models with Multiple Subword CandidatesAnnual Meeting of the Association for Computational Linguistics (ACL)Taku Kudo2018 · 1,573 citations
  81. Understanding Black-box Predictions via Influence FunctionsarXiv:1703.04730Pang Wei Koh, Percy Liang2017 · 1,514 citations
  82. From Captions to Visual Concepts and BackIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHao Fang, Saurabh Gupta, Forrest Iandola, et al.2014 · 1,450 citations
  83. OverFeat: Integrated Recognition, Localization and Detection using Convolutional NetworksarXiv:1312.6229Pierre Sermanet, David Eigen, Xiang Zhang, et al.2013 · 1,423 citations
  84. Generation and Comprehension of Unambiguous Object DescriptionsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunhua Mao, Jonathan Huang, Alexander Toshev, et al.2015 · 1,388 citations
  85. Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsarXiv:1411.2539Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,371 citations
  86. ReferItGame: Referring to Objects in Photographs of Natural ScenesConference on Empirical Methods in Natural Language Processing (EMNLP)Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, et al.2014 · 1,317 citations
  87. A Primer on Neural Network Models for Natural Language ProcessingJournal of Artificial Intelligence ResearchYoav Goldberg2015 · 1,303 citations
  88. cuDNN: Efficient Primitives for Deep LearningarXiv 2014 (NVIDIA)Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, et al.2014 · 1,240 citations
  89. Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement LearningarXiv:1709.00103Victor Zhong, Caiming Xiong, Richard Socher2017 · 1,226 citations
  90. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsarXiv:1312.6034Karen Simonyan, Andrea Vedaldi, Andrew Zisserman2013 · 1,210 citations
  91. Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, et al.2015 · 1,202 citations
  92. Matching Networks for One Shot LearningarXiv:1606.04080Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.2016 · 1,197 citations
  93. EIE: Efficient Inference Engine on Compressed Deep Neural NetworkACM/IEEE International Symposium on Computer Architecture (ISCA)Song Han, Xingyu Liu, Huizi Mao, et al.2016 · 1,193 citations
  94. Event Extraction via Dynamic Multi-Pooling Convolutional Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Yubo Chen, Liheng Xu, Kang Liu, et al.2015 · 1,177 citations
  95. 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
  96. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
  97. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
  98. A Theoretically Grounded Application of Dropout in Recurrent Neural NetworksarXiv:1512.05287Yarin Gal, Zoubin Ghahramani2015 · 1,032 citations
  99. Exact solutions to the nonlinear dynamics of learning in deep linear neural networksarXiv:1312.6120Andrew M. Saxe, James L. McClelland, Surya Ganguli2013 · 1,027 citations
  100. BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainarXiv:1708.06733Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg2017 · 1,024 citations

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