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Who cites Martín Abadi

1,301 citations of their works from 1,293 papers of our library (of the 149,439 whose bibliographies we read) · 103 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Martín Abadi

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  1. Array Programming with NumPyNatureCharles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.2020 · 23,607 citations
  2. TensorFlow: A system for large-scale machine learningarXiv:1605.08695Martin Abadi, Paul Barham, Jianmin Chen, et al.2016 · 12,711 citations
  3. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  4. Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksarXiv:1703.03400Chelsea Finn, Pieter Abbeel, Sergey Levine2017 · 6,549 citations
  5. Inductive Representation Learning on Large GraphsarXiv:1706.02216William L. Hamilton, Rex Ying, Jure Leskovec2017 · 4,795 citations
  6. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  7. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  8. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?arXiv:1703.04977Alex Kendall, Yarin Gal2017 · 2,870 citations
  9. 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
  10. AllenNLP: A Deep Semantic Natural Language Processing PlatformarXiv:1803.07640Matt Gardner, Joel Grus, Mark Neumann, et al.2018 · 1,819 citations
  11. Universal Sentence EncoderarXiv:1803.11175Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,629 citations
  12. 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
  13. Zero-Shot Text-to-Image GenerationarXiv:2102.12092Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,528 citations
  14. Understanding Black-box Predictions via Influence FunctionsarXiv:1703.04730Pang Wei Koh, Percy Liang2017 · 1,514 citations
  15. 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
  16. 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
  17. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
  18. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
  19. 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
  20. Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement LearningarXiv:1709.00103Victor Zhong, Caiming Xiong, Richard Socher2017 · 1,226 citations
  21. DailyDialog: A Manually Labelled Multi-turn Dialogue DatasetarXiv:1710.03957Yanran Li, Hui Su, Xiaoyu Shen, et al.2017 · 1,206 citations
  22. QSGD: Communication-Efficient SGD via Gradient Quantization and EncodingarXiv:1610.02132Dan Alistarh, Demjan Grubic, Jerry Li, et al.2016 · 962 citations
  23. 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
  24. TaPas: Weakly Supervised Table Parsing via Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, et al.2020 · 847 citations
  25. Revisiting Pre-Trained Models for Chinese Natural Language ProcessingarXiv:2004.13922Yiming Cui, Wanxiang Che, Ting Liu, et al.2020 · 790 citations
  26. Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsMAPL 2019Philippe Tillet, H. T. Kung, David Cox2019 · 729 citations
  27. Horovod: fast and easy distributed deep learning in TensorFlowarXiv:1802.05799Alexander Sergeev, Mike Del Balso2018 · 695 citations
  28. 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
  29. 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
  30. 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
  31. HDLTex: Hierarchical Deep Learning for Text ClassificationICMLA 2017Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, et al.2017 · 532 citations
  32. TabFact: A Large-scale Dataset for Table-based Fact VerificationarXiv:1909.02164Wenhu Chen, Hongmin Wang, Jianshu Chen, et al.2019 · 515 citations
  33. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
  34. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  35. Texygen: A Benchmarking Platform for Text Generation ModelsarXiv:1802.01886Yaoming Zhu, Sidi Lu, Lei Zheng, et al.2018 · 495 citations
  36. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
  37. Orca: A Distributed Serving System for Transformer-Based Generative ModelsOSDI 2022Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, et al.2022 · 478 citations
  38. 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
  39. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
  40. Hindsight Experience ReplayarXiv:1707.01495Marcin Andrychowicz, Filip Wolski, Alex Ray, et al.2017 · 421 citations
  41. Deep Learning: A Critical AppraisalarXiv:1801.00631Gary Marcus2018 · 417 citations
  42. Compressing BERT: Studying the Effects of Weight Pruning on Transfer LearningWorkshop on Representation Learning for NLPMitchell Gordon, Kevin Duh, Nicholas Andrews2020 · 407 citations
  43. 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
  44. Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four MinutesarXiv:1807.11205Xianyan Jia, Shutao Song, Wei He, et al.2018 · 348 citations
  45. Search-based Neural Structured Learning for Sequential Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang2017 · 330 citations
  46. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning AbstractionsarXiv:1802.04730Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, et al.2018 · 323 citations
  47. Beyond Data and Model Parallelism for Deep Neural NetworksSysML 2019Zhihao Jia, Matei Zaharia, Alex Aiken2018 · 280 citations
  48. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep LearningOSDI 2022Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.2022 · 279 citations
  49. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
  50. TAPEX: Table Pre-training via Learning a Neural SQL ExecutorarXiv:2107.07653Qian Liu, Bei Chen, Jiaqi Guo, et al.2021 · 255 citations
  51. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 244 citations
  52. FigureQA: An Annotated Figure Dataset for Visual ReasoningarXiv:1710.07300Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, et al.2017 · 240 citations
  53. 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
  54. 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
  55. Did the Model Understand the Question?Annual Meeting of the Association for Computational Linguistics (ACL)Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, et al.2018 · 214 citations
  56. 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
  57. End-to-End Differentiable ProvingarXiv:1705.11040Tim Rocktäschel, Sebastian Riedel2017 · 188 citations
  58. Open Question Answering over Tables and TextarXiv:2010.10439Wenhu Chen, Ming-Wei Chang, Eva Schlinger, et al.2020 · 182 citations
  59. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training WorkloadsarXiv:1901.05758Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.2019 · 179 citations
  60. PipeDream: Fast and Efficient Pipeline Parallel DNN TrainingarXiv:1806.03377Aaron Harlap, Deepak Narayanan, Amar Phanishayee, et al.2018 · 162 citations
  61. Unsupervised Text Style Transfer using Language Models as DiscriminatorsarXiv:1805.11749Zichao Yang, Zhiting Hu, Chris Dyer, et al.2018 · 161 citations
  62. MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUsarXiv:2402.15627Ziheng Jiang, Haibin Lin, Yinmin Zhong, et al.2024 · 157 citations
  63. Effective Domain Mixing for Neural Machine TranslationConference on Machine Translation (WMT)Denny Britz, Quoc Le, Reid Pryzant2017 · 156 citations
  64. SpotServe: Serving Generative Large Language Models on Preemptible InstancesACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)Xupeng Miao, Chunan Shi, Jiangfei Duan, et al.2023 · 145 citations
  65. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning WorkloadsarXiv:2008.09213Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, et al.2020 · 141 citations
  66. Learning to Represent Programs with GraphsarXiv:1711.00740Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi2017 · 127 citations
  67. Making Neural QA as Simple as Possible but not SimplerarXiv:1703.04816Dirk Weissenborn, Georg Wiese, Laura Seiffe2017 · 122 citations
  68. 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
  69. Entity Linking in 100 LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Jan A. Botha, Zifei Shan, Daniel Gillick2020 · 114 citations
  70. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & ToxicityarXiv:2305.13169Shayne Longpre, Gregory Yauney, Emily Reif, et al.2023 · 104 citations
  71. Simulating Action Dynamics with Neural Process NetworksarXiv:1711.05313Antoine Bosselut, Omer Levy, Ari Holtzman, et al.2017 · 102 citations
  72. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
  73. Text Modular Networks: Learning to Decompose Tasks in the Language of Existing ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tushar Khot, Daniel Khashabi, Kyle Richardson, et al.2021 · 95 citations
  74. Liger Kernel: Efficient Triton Kernels for LLM TrainingarXiv:2410.10989Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, et al.2024 · 87 citations
  75. Deep Models for Arabic Dialect Identification on Benchmarked DataInternational Conference on Computational Linguistics (COLING)Mohamed Elaraby, Muhammad Abdul-Mageed2018 · 85 citations
  76. 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
  77. Large Language Models in Law: A SurveyarXiv:2312.03718Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.2023 · 80 citations
  78. TASO: Optimizing Deep Learning Computation with Automatic Generation of Graph SubstitutionsSOSP 2019Zhihao Jia, Oded Padon, James Thomas, et al.2019 · 72 citations
  79. Are you serious?: Rhetorical Questions and Sarcasm in Social Media DialogShereen Oraby, Vrindavan Harrison, Amita Misra, et al.2017 · 70 citations
  80. Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Carolin Lawrence, Stefan Riezler2018 · 68 citations
  81. Learning an Executable Neural Semantic ParserComputational LinguisticsJianpeng Cheng, Siva Reddy, Vijay Saraswat, et al.2019 · 63 citations
  82. 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
  83. Cross-Domain Generalization of Neural Constituency ParsersDaniel Fried, Nikita Kitaev, Dan Klein2019 · 46 citations
  84. Symbolic Learning Enables Self-Evolving AgentsarXiv:2406.18532Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.2024 · 34 citations
  85. 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
  86. 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
  87. From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction TuningarXiv:2304.07995Qian Liu, Fan Zhou, Zhengbao Jiang, et al.2023 · 24 citations
  88. Predicting In-Game Actions from Interviews of NBA PlayersComputational LinguisticsNadav Oved, Amir Feder, Roi Reichart2020 · 24 citations
  89. 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
  90. 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
  91. ARBML: Democratizing Arabic Natural Language Processing ToolsWorkshop for NLP Open Source Software (NLP-OSS)Zaid Alyafeai, Maged S. Al-Shaibani2020 · 14 citations
  92. CodeS: Natural Language to Code Repository via Multi-Layer SketcharXiv:2403.16443Daoguang Zan, Ailun Yu, Wei Liu, et al.2024 · 9 citations
  93. A Characterwise Windowed Approach to Hebrew Morphological SegmentationAmir Zeldes2018 · 6 citations
  94. 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
  95. DeepSTL — From English Requirements to Signal Temporal LogicarXiv:2109.10294Jie He, Ezio Bartocci, Dejan Ničkovic, et al.2021 · 4 citations
  96. 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
  97. 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
  98. SiPOS: A Benchmark Dataset for Sindhi Part-of-Speech TaggingRecent Advances in Natural Language Processing (RANLP)Wazir Ali, Zenglin Xu, Jay Kumar2021 · 3 citations
  99. 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
  100. 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

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