Elamur Research⌕
☰
home / authors / Yangqing Jia / cited by

Who cites Yangqing Jia

2,608 citations of their works from 2,224 papers of our library (of the 149,439 whose bibliographies we read) · 174 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Yangqing Jia

1 2

  1. Very Deep Convolutional Networks for Large-Scale Image RecognitionarXiv:1409.1556Karen Simonyan, Andrew Zisserman2014 · 73,393 citations
  2. 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
  3. 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
  4. Array Programming with NumPyNatureCharles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.2020 · 23,607 citations
  5. PyTorch: An Imperative Style, High-Performance Deep Learning LibraryarXiv:1912.01703Adam Paszke, Sam Gross, Francisco Massa, et al.2019 · 18,645 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. FaceNet: A Unified Embedding for Face Recognition and ClusteringIEEE Computer Society Conference on Computer Vision and Pattern RecognitionFlorian Schroff, Dmitry Kalenichenko, James Philbin2015 · 12,016 citations
  9. 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
  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. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsarXiv:1603.04467Martín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,512 citations
  12. Deep Residual Learning for Image RecognitionarXiv:1512.03385Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.2015 · 9,425 citations
  13. Explaining and Harnessing Adversarial ExamplesarXiv:1412.6572Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy2014 · 8,577 citations
  14. A Simple Framework for Contrastive Learning of Visual RepresentationsarXiv:2002.05709Ting Chen, Simon Kornblith, Mohammad Norouzi, et al.2020 · 8,000 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. 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
  17. Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksarXiv:1703.03400Chelsea Finn, Pieter Abbeel, Sergey Levine2017 · 6,549 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. 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. 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. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
  26. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural NetworksLecture notes in computer scienceMohammad Rastegari, Vicente Ordonez, Joseph Redmon, et al.2016 · 4,402 citations
  27. Caffe: Convolutional Architecture for Fast Feature EmbeddingarXiv:1408.5093Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al.2014 · 4,209 citations
  28. Continual Lifelong Learning with Neural Networks: A ReviewarXiv:1802.07569German I. Parisi, Ronald Kemker, Jose L. Part, et al.2018 · 3,224 citations
  29. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  30. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksIEEE International Conference on Computer Vision (ICCV)Yukun Zhu, Ryan Kiros, Richard Zemel, et al.2015 · 3,083 citations
  31. Scalable Diffusion Models with TransformersIEEE/CVF International Conference on Computer Vision (ICCV)William Peebles, Saining Xie2022 · 2,670 citations
  32. 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
  33. Recurrent Neural Network RegularizationarXiv:1409.2329Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals2014 · 2,412 citations
  34. Embedding Entities and Relations for Learning and Inference in Knowledge BasesarXiv:1412.6575Bishan Yang, Wen-tau Yih, Xiaodong He, et al.2014 · 2,370 citations
  35. 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
  36. Deep Networks with Stochastic DepthLecture notes in computer scienceGao Huang, Yu Sun, Zhuang Liu, et al.2016 · 2,160 citations
  37. 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
  38. 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
  39. 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
  40. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsarXiv:1512.01274Tianqi Chen, Mu Li, Yutian Li, et al.2015 · 2,000 citations
  41. BinaryConnect: Training Deep Neural Networks with binary weights during propagationsarXiv:1511.00363Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David2015 · 1,885 citations
  42. Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringConference on Neural Information Processing Systems (NeurIPS)Michael Defferrard, Xavier Bresson, Pierre Vandergheynst2016 · 1,861 citations
  43. AllenNLP: A Deep Semantic Natural Language Processing PlatformarXiv:1803.07640Matt Gardner, Joel Grus, Mark Neumann, et al.2018 · 1,819 citations
  44. YFCC100M: The New Data in Multimedia ResearchCommunications of the ACMBart Thomee, David A. Shamma, Gerald Friedland, et al.2015 · 1,671 citations
  45. Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionInternational Conference on Machine Learning (ICML)Chao Jia, Yinfei Yang, Ye Xia, et al.2021 · 1,615 citations
  46. 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
  47. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
  48. Understanding Black-box Predictions via Influence FunctionsarXiv:1703.04730Pang Wei Koh, Percy Liang2017 · 1,514 citations
  49. 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
  50. AMC: AutoML for Model Compression and Acceleration on Mobile DevicesLecture notes in computer scienceYihui He; Ji Lin; Zhijian Liu; Hanrui Wang; Li-Jia Li;, Song Han2018 · 1,444 citations
  51. 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
  52. FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture SearchIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBichen Wu, Xiaoliang Dai, Peizhao Zhang, et al.2018 · 1,405 citations
  53. Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsarXiv:1411.2539Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,371 citations
  54. VideoBERT: A Joint Model for Video and Language Representation LearningIEEE/CVF International Conference on Computer Vision (ICCV)Chen Sun, Austin Myers, Carl Vondrick, et al.2019 · 1,345 citations
  55. cuDNN: Efficient Primitives for Deep LearningarXiv 2014 (NVIDIA)Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, et al.2014 · 1,240 citations
  56. DailyDialog: A Manually Labelled Multi-turn Dialogue DatasetarXiv:1710.03957Yanran Li, Hui Su, Xiaoyu Shen, et al.2017 · 1,206 citations
  57. "Why Should I Trust You?": Explaining the Predictions of Any ClassifierarXiv:1602.04938Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin2016 · 1,205 citations
  58. Matching Networks for One Shot LearningarXiv:1606.04080Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.2016 · 1,197 citations
  59. 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
  60. MASS: Masked Sequence to Sequence Pre-training for Language GenerationarXiv:1905.02450Kaitao Song, Xu Tan, Tao Qin, et al.2019 · 1,143 citations
  61. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
  62. BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainarXiv:1708.06733Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg2017 · 1,024 citations
  63. U-Net: Convolutional Networks for Biomedical Image SegmentationarXiv:1505.04597Olaf Ronneberger, Philipp Fischer, Thomas Brox2015 · 997 citations
  64. 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
  65. QSGD: Communication-Efficient SGD via Gradient Quantization and EncodingarXiv:1610.02132Dan Alistarh, Demjan Grubic, Jerry Li, et al.2016 · 962 citations
  66. Segment AnythingarXiv:2304.02643Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 960 citations
  67. PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph CompilationACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)Jason Ansel, Edward Yang, Horace He, et al.2024 · 946 citations
  68. Scaling Neural Machine TranslationConference on Machine Translation: Research PapersMyle Ott, Sergey Edunov, David Grangier, et al.2018 · 826 citations
  69. 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
  70. Visualizing and Understanding Convolutional NetworksarXiv:1311.2901Matthew D Zeiler, Rob Fergus2013 · 771 citations
  71. Learning Distributed Representations of Sentences from Unlabelled DataConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Felix Hill, Kyunghyun Cho, Anna Korhonen2016 · 765 citations
  72. EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksarXiv:1901.11196Jason Wei, Kai Zou2019 · 761 citations
  73. Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and EvaluationIEEE/CVF International Conference on Computer Vision (ICCV)Xin Chen, Lingxi Xie, Jun Wu, et al.2019 · 732 citations
  74. Adversarial Multi-task Learning for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Pengfei Liu, Xipeng Qiu, Xuanjing Huang2017 · 729 citations
  75. Show and Tell: A Neural Image Caption GeneratorarXiv:1411.4555Oriol Vinyals, Alexander Toshev, Samy Bengio, et al.2014 · 729 citations
  76. Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)International Conference on Learning Representations (ICLR)Junhua Mao, Wei Xu, Yi Yang, et al.2014 · 715 citations
  77. Horovod: fast and easy distributed deep learning in TensorFlowarXiv:1802.05799Alexander Sergeev, Mike Del Balso2018 · 695 citations
  78. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural NetworksarXiv:1802.08232Nicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.2018 · 692 citations
  79. Highway NetworksarXiv:1505.00387Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber2015 · 680 citations
  80. Regularizing and Optimizing LSTM Language ModelsarXiv:1708.02182Stephen Merity, Nitish Shirish Keskar, Richard Socher2017 · 633 citations
  81. A simple neural network module for relational reasoningarXiv:1706.01427Adam Santoro, David Raposo, David G. T. Barrett, et al.2017 · 632 citations
  82. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasmConference on Empirical Methods in Natural Language Processing (EMNLP)Bjarke Felbo, Alan Mislove, Anders Søgaard, et al.2017 · 621 citations
  83. Deep Visual-Semantic Alignments for Generating Image DescriptionsarXiv:1412.2306Andrej Karpathy, Li Fei-Fei2014 · 608 citations
  84. 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
  85. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 596 citations
  86. Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsConference on Empirical Methods in Natural Language Processing (EMNLP)Emma Strubell, Patrick Verga, David Belanger, et al.2017 · 548 citations
  87. HDLTex: Hierarchical Deep Learning for Text ClassificationICMLA 2017Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, et al.2017 · 532 citations
  88. Learning Structured Sparsity in Deep Neural NetworksarXiv:1608.03665Wei Wen, Chunpeng Wu, Yandan Wang, et al.2016 · 530 citations
  89. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 524 citations
  90. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
  91. Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelarXiv:2401.09417Lianghui Zhu, Bencheng Liao, Qian Zhang, et al.2024 · 500 citations
  92. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  93. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
  94. Action-Conditional Video Prediction using Deep Networks in Atari GamesarXiv:1507.08750Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, et al.2015 · 467 citations
  95. In-Datacenter Performance Analysis of a Tensor Processing UnitarXiv:1704.04760Norman P. Jouppi; Cliff Young; Nishant Patil; David Patterson; Gaurav Agrawal; Raminder Bajwa; Sarah Bates; Suresh Bhatia; Nan Boden; Al Borchers; Rick Boyle; Pierre-luc Cantin; Clifford Chao; Chris Clark; Jeremy Coriell; Mike Daley; Matt Dau; Jeffrey Dean; Ben Gelb; Tara Vazir Ghaemmaghami; Rajendra Gottipati; William Gulland; Robert Hagmann; C. Richard Ho; Doug Hogberg; John Hu; Robert Hundt; Dan Hurt; Julian Ibarz; Aaron Jaffey; Alek Jaworski; Alexander Kaplan; Harshit Khaitan; Andy Koch; Naveen Kumar; Steve Lacy; James Laudon; James Law; Diemthu Le; Chris Leary; Zhuyuan Liu; Kyle Lucke; Alan Lundin; Gordon MacKean; Adriana Maggiore; Maire Mahony; Kieran Miller; Rahul Nagarajan; Ravi Narayanaswami; Ray Ni; Kathy Nix; Thomas Norrie; Mark Omernick; Narayana Penukonda; Andy Phelps; Jonathan Ross; Matt Ross; Amir Salek; Emad Samadiani; Chris Severn; Gregory Sizikov; Matthew Snelham; Jed Souter; Dan Steinberg; Andy Swing; Mercedes Tan; Gregory Thorson; Bo Tian; Horia Toma; Erick Tuttle; Vijay Vasudevan; Richard Walter; Walter Wang; Eric Wilcox;, Doe Hyun Yoon2017 · 449 citations
  96. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
  97. Massively Parallel Methods for Deep Reinforcement LearningarXiv:1507.04296Arun Nair, Praveen Srinivasan, Sam Blackwell, et al.2015 · 427 citations
  98. Hindsight Experience ReplayarXiv:1707.01495Marcin Andrychowicz, Filip Wolski, Alex Ray, et al.2017 · 421 citations
  99. Compressing BERT: Studying the Effects of Weight Pruning on Transfer LearningWorkshop on Representation Learning for NLPMitchell Gordon, Kevin Duh, Nicholas Andrews2020 · 407 citations
  100. Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirectarXiv:1903.04611Ang Li, Shuaiwen Leon Song, Jieyang Chen, et al.2019 · 372 citations

1 2

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yangqing-jia/cited-by/