🧑‍🔬 Who cites Matthieu Devin

1,647 citations of their works from 1,535 papers of our library (of the 149,439 whose bibliographies we read) · 96 with a page here, the most cited first · ← Matthieu Devin

1. Very Deep Convolutional Networks for Large-Scale Image RecognitionarXiv:1409.1556Karen Simonyan, Andrew Zisserman2014 · 73,393 citations
2. Efficient Estimation of Word Representations in Vector SpacearXiv:1301.3781Tomas Mikolov, Kai Chen, Greg Corrado, et al.2013 · 28,759 citations
3. Array Programming with NumPyNatureCharles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.2020 · 23,607 citations
4. Sequence to Sequence Learning with Neural NetworksarXiv:1409.3215Ilya Sutskever, Oriol Vinyals, Quoc V. Le2014 · 18,409 citations
5. Distilling the Knowledge in a Neural NetworkarXiv:1503.02531Geoffrey Hinton, Oriol Vinyals, Jeff Dean2015 · 15,229 citations
6. TensorFlow: A system for large-scale machine learningarXiv:1605.08695Martin Abadi, Paul Barham, Jianmin Chen, et al.2016 · 12,711 citations
7. 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
8. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsarXiv:1603.04467Martín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,512 citations
9. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
10. Explaining and Harnessing Adversarial ExamplesarXiv:1412.6572Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy2014 · 8,577 citations
11. Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksarXiv:1703.03400Chelsea Finn, Pieter Abbeel, Sergey Levine2017 · 6,549 citations
12. Intriguing properties of neural networksarXiv:1312.6199Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, et al.2013 · 5,999 citations
13. ADADELTA: An Adaptive Learning Rate MethodarXiv:1212.5701Matthew D. Zeiler2012 · 5,699 citations
14. Inductive Representation Learning on Large GraphsarXiv:1706.02216William L. Hamilton, Rex Ying, Jure Leskovec2017 · 4,795 citations
15. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
16. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
17. Gemini: A Family of Highly Capable Multimodal ModelsarXiv:2312.11805Gemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 3,050 citations
18. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
19. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?arXiv:1703.04977Alex Kendall, Yarin Gal2017 · 2,870 citations
20. Attention-based LSTM for Aspect-level Sentiment ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Yequan Wang, Minlie Huang, Xiaoyan Zhu, et al.2016 · 2,621 citations
21. OpenNMT: Open-Source Toolkit for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Guillaume Klein, Yoon Kim, Yuntian Deng, et al.2017 · 2,475 citations
22. 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
23. 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
24. 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
25. AllenNLP: A Deep Semantic Natural Language Processing PlatformarXiv:1803.07640Matt Gardner, Joel Grus, Mark Neumann, et al.2018 · 1,819 citations
26. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,819 citations
27. Universal Sentence EncoderarXiv:1803.11175Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,629 citations
28. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
29. Universal Sentence Encoder for EnglishConference on Empirical Methods in Natural Language Processing (EMNLP)Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,546 citations
30. Zero-Shot Text-to-Image GenerationarXiv:2102.12092Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,528 citations
31. Understanding Black-box Predictions via Influence FunctionsarXiv:1703.04730Pang Wei Koh, Percy Liang2017 · 1,514 citations
32. Pre-Training with Whole Word Masking for Chinese BERTIEEE/ACM Transactions on Audio Speech and Language ProcessingYiming Cui, Wanxiang Che, Ting Liu, et al.2019 · 1,490 citations
33. 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
34. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
35. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
36. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
37. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsarXiv:1312.6034Karen Simonyan, Andrea Vedaldi, Andrew Zisserman2013 · 1,210 citations
38. DailyDialog: A Manually Labelled Multi-turn Dialogue DatasetarXiv:1710.03957Yanran Li, Hui Su, Xiaoyu Shen, et al.2017 · 1,206 citations
39. PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph CompilationASPLOS 2024Jason Ansel, Edward Yang, Horace He, et al.2024 · 946 citations
40. 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
41. Scaling Neural Machine TranslationConference on Machine Translation: Research PapersMyle Ott, Sergey Edunov, David Grangier, et al.2018 · 826 citations
42. Revisiting Pre-Trained Models for Chinese Natural Language ProcessingarXiv:2004.13922Yiming Cui, Wanxiang Che, Ting Liu, et al.2020 · 790 citations
43. Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsMAPL 2019Philippe Tillet, H. T. Kung, David Cox2019 · 729 citations
44. 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
45. 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
46. Multilingual Universal Sentence Encoder for Semantic RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Yinfei Yang, Daniel Cer, Amin Ahmad, et al.2020 · 570 citations
47. 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
48. HDLTex: Hierarchical Deep Learning for Text ClassificationICMLA 2017Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, et al.2017 · 532 citations
49. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
50. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
51. Texygen: A Benchmarking Platform for Text Generation ModelsarXiv:1802.01886Yaoming Zhu, Sidi Lu, Lei Zheng, et al.2018 · 495 citations
52. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
53. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
54. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
55. Deep Learning: A Critical AppraisalarXiv:1801.00631Gary Marcus2018 · 417 citations
56. Compressing BERT: Studying the Effects of Weight Pruning on Transfer LearningWorkshop on Representation Learning for NLPMitchell Gordon, Kevin Duh, Nicholas Andrews2020 · 407 citations
57. emoji2vec: Learning Emoji Representations from their DescriptionInternational Workshop on Natural Language Processing for Social MediaBen Eisner, Tim Rocktäschel, Isabelle Augenstein, et al.2016 · 360 citations
58. ZeRO-Offload: Democratizing Billion-Scale Model TrainingarXiv:2101.06840Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, et al.2021 · 309 citations
59. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 244 citations
60. From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal LikelihoodAnnual Meeting of the Association for Computational Linguistics (ACL)Kelvin Guu, Panupong Pasupat, Evan Liu, et al.2017 · 236 citations
61. Hurdles to Progress in Long-form Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kalpesh Krishna, Aurko Roy, Mohit Iyyer2021 · 233 citations
62. Ring Attention with Blockwise Transformers for Near-Infinite ContextarXiv:2310.01889Hao Liu, Matei Zaharia, Pieter Abbeel2023 · 212 citations
63. Mesh-TensorFlow: Deep Learning for SupercomputersarXiv:1811.02084Noam Shazeer, Youlong Cheng, Niki Parmar, et al.2018 · 203 citations
64. Polyglot: Distributed Word Representations for Multilingual NLPConference on Computational Natural Language Learning (CoNLL)Rami Al-Rfou', Bryan Perozzi, Steven Skiena2013 · 201 citations
65. Tensor2Tensor for Neural Machine TranslationConference of the Association for Machine Translation in the Americas (AMTA)Ashish Vaswani, Samy Bengio, Eugene Brevdo, et al.2018 · 191 citations
66. DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer ModelsarXiv:2309.14509Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, et al.2023 · 162 citations
67. Unsupervised Text Style Transfer using Language Models as DiscriminatorsarXiv:1805.11749Zichao Yang, Zhiting Hu, Chris Dyer, et al.2018 · 161 citations
68. Effective Domain Mixing for Neural Machine TranslationConference on Machine Translation (WMT)Denny Britz, Quoc Le, Reid Pryzant2017 · 156 citations
69. ChID: A Large-scale Chinese IDiom Dataset for Cloze TestAnnual Meeting of the Association for Computational Linguistics (ACL)Chujie Zheng, Minlie Huang, Aixin Sun2019 · 119 citations
70. Entity Linking in 100 LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Jan A. Botha, Zifei Shan, Daniel Gillick2020 · 114 citations
71. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
72. Finding Skill Neurons in Pre-trained Transformer-based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, et al.2022 · 85 citations
73. Deep Models for Arabic Dialect Identification on Benchmarked DataInternational Conference on Computational Linguistics (COLING)Mohamed Elaraby, Muhammad Abdul-Mageed2018 · 85 citations
74. Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level PredictionTransactions of the Association for Computational Linguistics (TACL)Daniela Gerz, Ivan Vulić, Edoardo Ponti, et al.2018 · 82 citations
75. Are you serious?: Rhetorical Questions and Sarcasm in Social Media DialogShereen Oraby, Vrindavan Harrison, Amita Misra, et al.2017 · 70 citations
76. Highly Effective Arabic Diacritization using Sequence to Sequence ModelingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hamdy Mubarak, Ahmed Abdelali, Hassan Sajjad, et al.2019 · 51 citations
77. WebLINX: Real-World Website Navigation with Multi-Turn DialoguearXiv:2402.05930Xing Han Lu, Zden\vek Kasner, Siva Reddy2024 · 50 citations
78. Cross-Domain Generalization of Neural Constituency ParsersDaniel Fried, Nikita Kitaev, Dan Klein2019 · 46 citations
79. Symbolic Learning Enables Self-Evolving AgentsarXiv:2406.18532Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.2024 · 34 citations
80. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment RecognitionFindings of the Association for Computational LinguisticsSihao Chen, Senaka Buthpitiya, Alex Fabrikant, et al.2023 · 31 citations
81. A Survey on Asking Clarification Questions Datasets in Conversational SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Hossein A. Rahmani, Xi Wang, Yue Feng, et al.2023 · 28 citations
82. Predicting In-Game Actions from Interviews of NBA PlayersComputational LinguisticsNadav Oved, Amir Feder, Roi Reichart2020 · 24 citations
83. CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationTransactions of the Association for Computational Linguistics (TACL)Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.2025 · 20 citations
84. Deep Contextualized Pairwise Semantic Similarity for Arabic Language QuestionsProceedings - International Conference on Tools with Artificial Intelligence, TAIHesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, et al.2019 · 16 citations
85. ARBML: Democratizing Arabic Natural Language Processing ToolsWorkshop for NLP Open Source Software (NLP-OSS)Zaid Alyafeai, Maged S. Al-Shaibani2020 · 14 citations
86. A Characterwise Windowed Approach to Hebrew Morphological SegmentationAmir Zeldes2018 · 6 citations
87. Automatically Detecting Reduced-formed English Pronunciations by Using Deep LearningWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Lei Chen, Chenglin Jiang, Yiwei Gu, et al.2022 · 4 citations
88. DeepSTL — From English Requirements to Signal Temporal LogicarXiv:2109.10294Jie He, Ezio Bartocci, Dejan Ničkovic, et al.2021 · 4 citations
89. The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018Workshop on Computational Approaches to Linguistic Code-SwitchingFlorian Janke, Tongrui Li, Eric Rincón, et al.2018 · 4 citations
90. CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention KernelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xing Ma, Yangjie Zhou, Wu Sun, et al.2026 · 3 citations
91. SiPOS: A Benchmark Dataset for Sindhi Part-of-Speech TaggingRecent Advances in Natural Language Processing (RANLP)Wazir Ali, Zenglin Xu, Jay Kumar2021 · 3 citations
92. Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native EnglisharXiv:1810.13088Yan Yin, Ramon Prieto, Bin Wang, et al.2018 · 2 citations
93. DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and TrustworthinessConference of the European Chapter of the Association for Computational Linguistics (EACL)Evgenii Nikolaev, Timur Ionov, Anna Korzanova, et al.2026
94. Prefix Parsing is Just ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Clemente Pasti, Andreas Opedal, Timothy J. O'Donnell, et al.2026
95. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Journal of SoftwareYanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025
96. ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning MethodsInternational Workshop on Semantic Evaluation (SemEval)Zhenghang Yin, Feixiang Wang, Man Lan, et al.2018

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