🧑‍🔬 Who cites Evan Shelhamer

1,602 citations of their works from 1,417 papers of our library (of the 149,439 whose bibliographies we read) · 75 with a page here, the most cited first · ← Evan Shelhamer

1. Very Deep Convolutional Networks for Large-Scale Image RecognitionarXiv:1409.1556Karen Simonyan, Andrew Zisserman2014 · 73,393 citations
2. PyTorch: An Imperative Style, High-Performance Deep Learning LibraryarXiv:1912.01703Adam Paszke, Sam Gross, Francisco Massa, et al.2019 · 18,645 citations
3. 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
4. TensorFlow: A system for large-scale machine learningarXiv:1605.08695Martin Abadi, Paul Barham, Jianmin Chen, et al.2016 · 12,711 citations
5. 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
6. YOLOv4: Optimal Speed and Accuracy of Object DetectionarXiv:2004.10934Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao2020 · 10,403 citations
7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsarXiv:1704.04861Andrew G. Howard, Menglong Zhu, Bo Chen, et al.2017 · 9,729 citations
8. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsarXiv:1603.04467Martín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,512 citations
9. Deep Residual Learning for Image RecognitionarXiv:1512.03385Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.2015 · 9,425 citations
10. 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
11. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural NetworksLecture notes in computer scienceMohammad Rastegari, Vicente Ordonez, Joseph Redmon, et al.2016 · 4,402 citations
12. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
13. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?arXiv:1703.04977Alex Kendall, Yarin Gal2017 · 2,870 citations
14. 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
15. 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
16. High-Resolution Image Synthesis with Latent Diffusion ModelsarXiv:2112.10752Robin Rombach, Andreas Blattmann, Dominik Lorenz, et al.2021 · 1,996 citations
17. Focal Loss for Dense Object DetectionarXiv:1708.02002Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.2017 · 1,995 citations
18. YFCC100M: The New Data in Multimedia ResearchCommunications of the ACMBart Thomee, David A. Shamma, Gerald Friedland, et al.2015 · 1,671 citations
19. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
20. Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
21. 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
22. 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
23. cuDNN: Efficient Primitives for Deep LearningarXiv 2014 (NVIDIA)Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, et al.2014 · 1,240 citations
24. 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
25. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
26. U-Net: Convolutional Networks for Biomedical Image SegmentationarXiv:1505.04597Olaf Ronneberger, Philipp Fischer, Thomas Brox2015 · 997 citations
27. 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
28. Feature Pyramid Networks for Object DetectionarXiv:1612.03144Tsung-Yi Lin, Piotr Dollar, Ross Girshick, et al.2016 · 767 citations
29. CoCa: Contrastive Captioners are Image-Text Foundation ModelsarXiv:2205.01917Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 667 citations
30. Learning Structured Sparsity in Deep Neural NetworksarXiv:1608.03665Wei Wen, Chunpeng Wu, Yandan Wang, et al.2016 · 530 citations
31. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 467 citations
32. Action-Conditional Video Prediction using Deep Networks in Atari GamesarXiv:1507.08750Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, et al.2015 · 467 citations
33. NVIDIA Tensor Core Programmability, Performance & PrecisionIPDPSW 2018 (arXiv)Stefano Markidis, Steven Wei Der Chien, Erwin Laure, et al.2018 · 465 citations
34. 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
35. 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
36. Detecting Sarcasm in Multimodal Social PlatformsACM International Conference on Multimedia (ACM MM)Rossano Schifanella, Paloma de Juan, Joel Tetreault, et al.2016 · 290 citations
37. Guided Open Vocabulary Image Captioning with Constrained Beam SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Peter Anderson, Basura Fernando, Mark Johnson, et al.2017 · 286 citations
38. Beyond Data and Model Parallelism for Deep Neural NetworksSysML 2019Zhihao Jia, Matei Zaharia, Alex Aiken2018 · 280 citations
39. 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
40. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
41. Sparse GPU Kernels for Deep Learning2012 International Conference for High Performance Computing, Networking, Storage and AnalysisTrevor Gale, Matei Zaharia, Cliff Young, et al.2020 · 259 citations
42. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionarXiv:1411.4389Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 245 citations
43. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 222 citations
44. Unsupervised Deep Embedding for Clustering AnalysisInternational Conference on Machine Learning (ICML)Junyuan Xie, Ross Girshick, Ali Farhadi2016 · 222 citations
45. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 208 citations
46. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training WorkloadsarXiv:1901.05758Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.2019 · 179 citations
47. PipeDream: Fast and Efficient Pipeline Parallel DNN TrainingarXiv:1806.03377Aaron Harlap, Deepak Narayanan, Amar Phanishayee, et al.2018 · 162 citations
48. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsarXiv:2405.09818Chameleon Team2024 · 159 citations
49. Unsolved Problems in ML SafetyarXiv:2109.13916Dan Hendrycks, Nicholas Carlini, John Schulman, et al.2021 · 151 citations
50. Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos2019 · 150 citations
51. HyperLex: A Large-Scale Evaluation of Graded Lexical EntailmentComputational LinguisticsIvan Vulić, Daniela Gerz, Douwe Kiela, et al.2017 · 148 citations
52. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
53. Direct Acoustics-to-Word Models for English Conversational Speech RecognitionInterspeechKartik Audhkhasi, Bhuvana Ramabhadran, George Saon, et al.2017 · 122 citations
54. ImageNet Training in MinutesarXiv:1709.05011Yang You, Zhao Zhang, Cho-Jui Hsieh, et al.2017 · 112 citations
55. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
56. Vidur: A Large-Scale Simulation Framework For LLM InferencearXiv:2405.05465Amey Agrawal, Nitin Kedia, Jayashree Mohan, et al.2024 · 90 citations
57. vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignMICRO 2016Minsoo Rhu, Natalia Gimelshein, Jason Clemons, et al.2016 · 81 citations
58. Large Language Models in Law: A SurveyarXiv:2312.03718Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.2023 · 80 citations
59. TASO: Optimizing Deep Learning Computation with Automatic Generation of Graph SubstitutionsSOSP 2019Zhihao Jia, Oded Padon, James Thomas, et al.2019 · 72 citations
60. AdaMerging: Adaptive Model Merging for Multi-Task LearningarXiv:2310.02575Enneng Yang, Zhenyi Wang, Li Shen, et al.2023 · 59 citations
61. Dynamic Cheatsheet: Test-Time Learning with Adaptive MemoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, et al.2026 · 37 citations
62. Multimodal Semantic Learning from Child-Directed InputConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Angeliki Lazaridou, Grzegorz Chrupała, Raquel Fernández, et al.2016 · 29 citations
63. Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural NetworksConference of the North American Chapter of the Association for Computational Linguistics: Student Research WorkshopVasu Jindal2018 · 23 citations
64. Violet: A Vision-Language Model for Arabic Image Captioning with Gemini DecoderArabic Natural Language Processing Conference (ArabicNLP)Abdelrahman Mohamed, Fakhraddin Alwajih, El Moatez Billah Nagoudi, et al.2023 · 18 citations
65. Cross-layer Attention Sharing for Pre-trained Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.2026 · 2 citations
66. Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Shen, Ting Ying, Jiajie Lu, et al.2026 · 2 citations
67. ASTraNet at SemEval-2026 Task 13: Not All Code Looks the Same: Multi-View Structural and Semantic Detection of Machine-Generated CodeInternational Workshop on Semantic Evaluation (SemEval)Ruwad Naswan, Dipit Saha, Md. Kabir, et al.2026 · 1 citation
68. TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Avi Patel, Manthan Laddha, Pushti Sapovadiya, et al.2026 · 1 citation
69. FedReFT: Federated Representation Fine-Tuning with All-But-Me AggregationFindings of the Association for Computational LinguisticsFatema Siddika, Md Anwar Hossen, Juan Pablo Munoz, et al.2026
70. From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual SegmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, et al.2026
71. Generative-to-Discriminative Test-Time Adaptation via Manifold-Aware Diffusion and Bayesian DistillationFindings of the Association for Computational LinguisticsBoyun Zhang, Zequn Xie, Fangming Feng, et al.2026
72. SAME: Signer-Aware Mixture-of-Experts for Test-Time Adaptation in Sign Language TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Lujia Yang, Weicai Yan, Yongbo He, et al.2026
73. Structured Confidence–Guided Online Adaptation for LLM-based Multi-Label ClassificationFindings of the Association for Computational LinguisticsPengyu Xu, JingRen Hou, Liping Jing, et al.2026
74. Training-Free Test-Time Contrastive Learning for Large Language ModelsFindings of the Association for Computational LinguisticsKaiwen Zheng, Kai Zhou, Jinwu Hu, et al.2026
75. Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math ReasoningFindings of the Association for Computational LinguisticsYongcan Yu, Lingxiao He, Jian Liang, et al.2026

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