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Who cites «ImageNet Classification with Deep Convolutional Neural Networks»

2,047 papers of our library cite it (of the 149,439 whose bibliographies we read) · 139 with a page here, the most cited first · page 1 of 2 · 1–100 · ← back to «ImageNet Classification with Deep Convolutional Neural Networks»

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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. 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. 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
  5. 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
  6. 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
  7. Sequence to Sequence Learning with Neural NetworksarXiv:1409.3215Ilya Sutskever, Oriol Vinyals, Quoc V. Le2014 · 18,409 citations
  8. Convolutional Neural Networks for Sentence ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Yoon Kim2014 · 16,299 citations
  9. Distilling the Knowledge in a Neural NetworkarXiv:1503.02531Geoffrey Hinton, Oriol Vinyals, Jeff Dean2015 · 15,229 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. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  13. A Simple Framework for Contrastive Learning of Visual RepresentationsarXiv:2002.05709Ting Chen, Simon Kornblith, Mohammad Norouzi, et al.2020 · 8,000 citations
  14. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  15. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 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. Intriguing properties of neural networksarXiv:1312.6199Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, et al.2013 · 5,999 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. 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
  22. EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML)Mingxing Tan, Quoc V. Le2019 · 5,416 citations
  23. Microsoft COCO: Common Objects in ContextarXiv:1405.0312Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.2014 · 5,131 citations
  24. mixup: Beyond Empirical Risk MinimizationarXiv:1710.09412Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al.2017 · 4,928 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. Caffe: Convolutional Architecture for Fast Feature EmbeddingarXiv:1408.5093Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al.2014 · 4,209 citations
  28. Neural Message Passing for Quantum ChemistryarXiv:1704.01212Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.2017 · 3,793 citations
  29. Scaling Laws for Neural Language ModelsarXiv:2001.08361Jared Kaplan, Sam McCandlish, Tom Henighan, et al.2020 · 3,434 citations
  30. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  31. 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
  32. 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
  33. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  34. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)arXiv:1511.07289Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter2015 · 2,314 citations
  35. 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
  36. Focal Loss for Dense Object DetectionarXiv:1708.02002Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.2017 · 1,995 citations
  37. Microsoft COCO Captions: Data Collection and Evaluation ServerarXiv:1504.00325Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.2015 · 1,948 citations
  38. Towards Deep Learning Models Resistant to Adversarial AttacksarXiv:1706.06083Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, et al.2017 · 1,874 citations
  39. Character-Aware Neural Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceYoon Kim, Yacine Jernite, David Sontag, et al.2015 · 1,874 citations
  40. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
  41. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,819 citations
  42. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
  43. Understanding Black-box Predictions via Influence FunctionsarXiv:1703.04730Pang Wei Koh, Percy Liang2017 · 1,514 citations
  44. 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
  45. Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsarXiv:1411.2539Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,371 citations
  46. 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
  47. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsarXiv:1312.6034Karen Simonyan, Andrea Vedaldi, Andrew Zisserman2013 · 1,210 citations
  48. Matching Networks for One Shot LearningarXiv:1606.04080Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.2016 · 1,197 citations
  49. 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
  50. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
  51. BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainarXiv:1708.06733Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg2017 · 1,024 citations
  52. U-Net: Convolutional Networks for Biomedical Image SegmentationarXiv:1505.04597Olaf Ronneberger, Philipp Fischer, Thomas Brox2015 · 997 citations
  53. Effective Use of Word Order for Text Categorization with Convolutional Neural NetworksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Rie Johnson, Tong Zhang2015 · 971 citations
  54. Visual7W: Grounded Question Answering in ImagesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionYuke Zhu, Oliver Groth, Michael Bernstein, et al.2015 · 952 citations
  55. Grounded Compositional Semantics for Finding and Describing Images with SentencesTransactions of the Association for Computational Linguistics (TACL)Richard Socher, Andrej Karpathy, Quoc V. Le, et al.2014 · 932 citations
  56. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191Peng Wang, Shuai Bai, Sinan Tan, et al.2024 · 860 citations
  57. Visualizing and Understanding Neural Models in NLPConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jiwei Li, Xinlei Chen, Eduard Hovy, et al.2016 · 855 citations
  58. Contextual Augmentation: Data Augmentation by Words with Paradigmatic RelationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sosuke Kobayashi2018 · 810 citations
  59. ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionarXiv:2102.03334Wonjae Kim, Bokyung Son, Ildoo Kim2021 · 804 citations
  60. Visualizing and Understanding Convolutional NetworksarXiv:1311.2901Matthew D Zeiler, Rob Fergus2013 · 771 citations
  61. Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsMAPL 2019Philippe Tillet, H. T. Kung, David Cox2019 · 729 citations
  62. Highway NetworksarXiv:1505.00387Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber2015 · 680 citations
  63. CoCa: Contrastive Captioners are Image-Text Foundation ModelsarXiv:2205.01917Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 667 citations
  64. Harnessing Deep Neural Networks with Logic RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, et al.2016 · 627 citations
  65. Deep Visual-Semantic Alignments for Generating Image DescriptionsarXiv:1412.2306Andrej Karpathy, Li Fei-Fei2014 · 608 citations
  66. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 596 citations
  67. 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
  68. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 524 citations
  69. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  70. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
  71. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
  72. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
  73. 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
  74. Data Augmentation for Low-Resource Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Marzieh Fadaee, Arianna Bisazza, Christof Monz2017 · 425 citations
  75. Deep Learning: A Critical AppraisalarXiv:1801.00631Gary Marcus2018 · 417 citations
  76. Combating Adversarial Misspellings with Robust Word RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton2019 · 390 citations
  77. Green AIarXiv:1907.10597Roy Schwartz, Jesse Dodge, Noah A. Smith, et al.2019 · 389 citations
  78. Representation Learning: A Review and New PerspectivesarXiv:1206.5538Yoshua Bengio, Aaron Courville, Pascal Vincent2012 · 383 citations
  79. Combining Language and Vision with a Multimodal Skip-gram ModelConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Angeliki Lazaridou, Nghia The Pham, Marco Baroni2015 · 368 citations
  80. Visualizing and Measuring the Geometry of BERTarXiv:1906.02715Andy Coenen, Emily Reif, Ann Yuan, et al.2019 · 349 citations
  81. How Transferable are Neural Networks in NLP Applications?Conference on Empirical Methods in Natural Language Processing (EMNLP)Lili Mou, Zhao Meng, Rui Yan, et al.2016 · 328 citations
  82. Good-Enough Compositional Data AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jacob Andreas2020 · 313 citations
  83. Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity MeasurementConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hua He, Jimmy Lin2016 · 297 citations
  84. Black Holes and White Rabbits: Metaphor Identification with Visual FeaturesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ekaterina Shutova, Douwe Kiela, Jean Maillard2016 · 293 citations
  85. SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Xinyi Wang, Hieu Pham, Zihang Dai, et al.2018 · 290 citations
  86. TreeTalk: Composition and Compression of Trees for Image DescriptionsTransactions of the Association for Computational Linguistics (TACL)Polina Kuznetsova, Vicente Ordonez, Tamara L. Berg, et al.2014 · 290 citations
  87. Analysing Mathematical Reasoning Abilities of Neural ModelsarXiv:1904.01557David Saxton, Edward Grefenstette, Felix Hill, et al.2019 · 288 citations
  88. Logic Tensor NetworksArtificial IntelligenceSamy Badreddine, Artur d'Avila Garcez, Luciano Serafini, et al.2020 · 276 citations
  89. Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Angeliki Lazaridou, Georgiana Dinu, Marco Baroni2015 · 276 citations
  90. Perceiver: General Perception with Iterative AttentionarXiv:2103.03206Andrew Jaegle, Felix Gimeno, Andrew Brock, et al.2021 · 269 citations
  91. SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!International Workshop on Semantic Evaluation (SemEval)Chhavi Sharma, Deepesh Bhageria, William Scott, et al.2020 · 261 citations
  92. A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence ClassificationInternational Joint Conference on Natural Language Processing (IJCNLP)Ye Zhang, Byron Wallace2017 · 260 citations
  93. An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL)Jiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 254 citations
  94. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionarXiv:1411.4389Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 245 citations
  95. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
  96. Concrete Problems in AI SafetyarXiv:1606.06565Dario Amodei, Chris Olah, Jacob Steinhardt, et al.2016 · 232 citations
  97. A Diagram Is Worth A Dozen ImagesarXiv:1603.07396Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.2016 · 231 citations
  98. Few-Shot Charge Prediction with Discriminative Legal AttributesInternational Conference on Computational Linguistics (COLING)Zikun Hu, Xiang Li, Cunchao Tu, et al.2018 · 221 citations
  99. Mesh-TensorFlow: Deep Learning for SupercomputersarXiv:1811.02084Noam Shazeer, Youlong Cheng, Niki Parmar, et al.2018 · 203 citations
  100. Representation of Linguistic Form and Function in Recurrent Neural NetworksComputational LinguisticsÁkos Kádár, Grzegorz Chrupała, Afra Alishahi2017 · 192 citations

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