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Who cites Razvan Pascanu

1,344 citations of their works from 1,183 papers of our library (of the 149,439 whose bibliographies we read) · 153 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Razvan Pascanu

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  1. 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
  2. Neural Machine Translation by Jointly Learning to Align and TranslatearXiv:1409.0473Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio2014 · 19,287 citations
  3. A Comprehensive Survey on Graph Neural NetworksIEEE Transactions on Neural Networks and Learning SystemsZonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,312 citations
  4. Deep Residual Learning for Image RecognitionarXiv:1512.03385Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.2015 · 9,425 citations
  5. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
  6. Explaining and Harnessing Adversarial ExamplesarXiv:1412.6572Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy2014 · 8,577 citations
  7. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  8. Generative Adversarial NetsIan J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, et al.2014 · 5,790 citations
  9. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
  10. Neural Message Passing for Quantum ChemistryarXiv:1704.01212Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.2017 · 3,793 citations
  11. Continual Lifelong Learning with Neural Networks: A ReviewarXiv:1802.07569German I. Parisi, Ronald Kemker, Jose L. Part, et al.2018 · 3,224 citations
  12. SuperGlue: Learning Feature Matching with Graph Neural NetworksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionPaul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, et al.2019 · 2,921 citations
  13. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  14. Recurrent Neural Network RegularizationarXiv:1409.2329Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals2014 · 2,412 citations
  15. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  16. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)arXiv:1511.07289Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter2015 · 2,314 citations
  17. 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
  18. 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
  19. BinaryConnect: Training Deep Neural Networks with binary weights during propagationsarXiv:1511.00363Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David2015 · 1,885 citations
  20. Character-Aware Neural Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceYoon Kim, Yacine Jernite, David Sontag, et al.2015 · 1,874 citations
  21. Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
  22. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  23. Pointer Sentinel Mixture ModelsarXiv:1609.07843Stephen Merity, Caiming Xiong, James Bradbury, et al.2016 · 1,733 citations
  24. 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
  25. Memory Aware Synapses: Learning what (not) to forgetLecture notes in computer scienceRahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, et al.2017 · 1,608 citations
  26. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
  27. VisualBERT: A Simple and Performant Baseline for Vision and LanguagearXiv:1908.03557Liunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,568 citations
  28. Fast Graph Representation Learning with PyTorch GeometricarXiv:1903.02428Matthias Fey, Jan Eric Lenssen2019 · 1,440 citations
  29. 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
  30. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
  31. Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, et al.2015 · 1,202 citations
  32. Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhao Zhang, Peng Qi, Christopher D. Manning2018 · 1,050 citations
  33. On Using Very Large Target Vocabulary for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Sébastien Jean, Kyunghyun Cho, Roland Memisevic, et al.2015 · 1,013 citations
  34. Convolutional Networks on Graphs for Learning Molecular FingerprintsarXiv:1509.09292David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, et al.2015 · 993 citations
  35. Interpretable Machine Learning: Fundamental Principles and 10 Grand ChallengesarXiv:2103.11251 · Statistics Surveys, 2021Cynthia Rudin; Chaofan Chen; Zhi Chen; Haiyang Huang; Lesia Semenova;, Chudi Zhong2021 · 974 citations
  36. Visualizing and Understanding Recurrent NetworksarXiv:1506.02078Andrej Karpathy, Justin Johnson, Li Fei-Fei2015 · 954 citations
  37. Using the Output Embedding to Improve Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ofir Press, Lior Wolf2017 · 909 citations
  38. Transition-Based Dependency Parsing with Stack Long Short-Term MemoryChris Dyer, Miguel Ballesteros, Wang Ling, et al.2015 · 868 citations
  39. Multi-Task Learning for Multiple Language TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Daxiang Dong, Hua Wu, Wei He, et al.2015 · 796 citations
  40. Generating Radiology Reports via Memory-driven TransformerConference on Empirical Methods in Natural Language Processing (EMNLP)Zhihong Chen, Yan Song, Tsung-Hui Chang, et al.2020 · 715 citations
  41. Learning multiple visual domains with residual adaptersarXiv:1705.08045Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi2017 · 694 citations
  42. Highway NetworksarXiv:1505.00387Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber2015 · 680 citations
  43. A Joint Many-Task Model: Growing a Neural Network for Multiple NLP TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.2016 · 674 citations
  44. A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 670 citations
  45. PathNet: Evolution Channels Gradient Descent in Super Neural NetworksarXiv:1701.08734Chrisantha Fernando, Dylan Banarse, Charles Blundell, et al.2017 · 667 citations
  46. How Powerful are Graph Neural Networks?arXiv:1810.00826Keyulu Xu, Weihua Hu, Jure Leskovec, et al.2018 · 655 citations
  47. Pointing the Unknown WordsAnnual Meeting of the Association for Computational Linguistics (ACL)Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.2016 · 651 citations
  48. On Using Monolingual Corpora in Neural Machine TranslationarXiv:1503.03535Caglar Gulcehre, Orhan Firat, Kelvin Xu, et al.2015 · 639 citations
  49. A simple neural network module for relational reasoningarXiv:1706.01427Adam Santoro, David Raposo, David G. T. Barrett, et al.2017 · 632 citations
  50. Transferable Multi-Domain State Generator for Task-Oriented Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, et al.2019 · 628 citations
  51. Attention Guided Graph Convolutional Networks for Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijiang Guo, Yan Zhang, Wei Lu2019 · 602 citations
  52. Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesarXiv:1907.05019Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 564 citations
  53. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 560 citations
  54. 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
  55. Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network ModelsProceedings of the AAAI Conference on Artificial IntelligenceIulian V. Serban, Alessandro Sordoni, Yoshua Bengio, et al.2015 · 551 citations
  56. RL²: Fast Reinforcement Learning via Slow Reinforcement LearningarXiv:1611.02779Yan Duan, John Schulman, Xi Chen, et al.2016 · 524 citations
  57. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingarXiv:2308.14508Yushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 514 citations
  58. Rethinking Attention with PerformersarXiv:2009.14794Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, et al.2020 · 491 citations
  59. On the Automatic Generation of Medical Imaging ReportsAnnual Meeting of the Association for Computational Linguistics (ACL)Baoyu Jing, Pengtao Xie, Eric Xing2018 · 484 citations
  60. MuST-C: a Multilingual Speech Translation CorpusConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, et al.2019 · 437 citations
  61. Tying Word Vectors and Word Classifiers: A Loss Framework for Language ModelingarXiv:1611.01462Hakan Inan, Khashayar Khosravi, Richard Socher2016 · 414 citations
  62. A Character-level Decoder without Explicit Segmentation for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Junyoung Chung, Kyunghyun Cho, Yoshua Bengio2016 · 413 citations
  63. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language UnderstandingarXiv:1810.02338Kexin Yi, Jiajun Wu, Chuang Gan, et al.2018 · 407 citations
  64. FiLM: Visual Reasoning with a General Conditioning LayerarXiv:1709.07871Ethan Perez, Florian Strub, Harm de Vries, et al.2017 · 400 citations
  65. Learning Latent Dynamics for Planning from PixelsarXiv:1811.04551Danijar Hafner, Timothy Lillicrap, Ian Fischer, et al.2018 · 394 citations
  66. Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General AgentsJournal of Artificial Intelligence ResearchMarlos C. Machado, Marc G. Bellemare, Erik Talvitie, et al.2017 · 393 citations
  67. Text Understanding with the Attention Sum Reader NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, et al.2016 · 390 citations
  68. Deep Semantic Role Labeling with Self-AttentionProceedings of the AAAI Conference on Artificial IntelligenceZhixing Tan, Mingxuan Wang, Jun Xie, et al.2017 · 387 citations
  69. Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Demi Guo, Alexander Rush, Yoon Kim2021 · 367 citations
  70. What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine AlignmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hongyuan Mei, Mohit Bansal, Matthew R. Walter2016 · 353 citations
  71. Compressive Transformers for Long-Range Sequence ModellingarXiv:1911.05507Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar, et al.2019 · 340 citations
  72. Progress & Compress: A scalable framework for continual learningarXiv:1805.06370Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, et al.2018 · 338 citations
  73. Neural Paraphrase Generation with Stacked Residual LSTM NetworksInternational Conference on Computational Linguistics (COLING)Aaditya Prakash, Sadid A. Hasan, Kathy Lee, et al.2016 · 337 citations
  74. Reinforcement Learning with Unsupervised Auxiliary TasksarXiv:1611.05397Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, et al.2016 · 319 citations
  75. How to Construct Deep Recurrent Neural NetworksarXiv:1312.6026Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, et al.2013 · 302 citations
  76. Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.2020 · 300 citations
  77. Overcoming Catastrophic Forgetting by Incremental Moment MatchingarXiv:1703.08475Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, et al.2017 · 298 citations
  78. xLSTM: Extended Long Short-Term MemoryConference on Neural Information Processing Systems (NeurIPS)Maximilian Beck, Korbinian Pöppel, Markus Spanring, et al.2024 · 296 citations
  79. Analysing Mathematical Reasoning Abilities of Neural ModelsarXiv:1904.01557David Saxton, Edward Grefenstette, Felix Hill, et al.2019 · 288 citations
  80. Logic Tensor NetworksArtificial IntelligenceSamy Badreddine, Artur d'Avila Garcez, Luciano Serafini, et al.2020 · 276 citations
  81. Perceiver: General Perception with Iterative AttentionarXiv:2103.03206Andrew Jaegle, Felix Gimeno, Andrew Brock, et al.2021 · 269 citations
  82. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
  83. Retentive Network: A Successor to Transformer for Large Language ModelsarXiv:2307.08621Yutao Sun, Li Dong, Shaohan Huang, et al.2023 · 265 citations
  84. Neural End-to-End Learning for Computational Argumentation MiningAnnual Meeting of the Association for Computational Linguistics (ACL)Steffen Eger, Johannes Daxenberger, Iryna Gurevych2017 · 263 citations
  85. Transformers learn in-context by gradient descentarXiv:2212.07677Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.2022 · 247 citations
  86. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionarXiv:1904.12584Jiayuan Mao, Chuang Gan, Pushmeet Kohli, et al.2019 · 241 citations
  87. FigureQA: An Annotated Figure Dataset for Visual ReasoningarXiv:1710.07300Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, et al.2017 · 240 citations
  88. Gradient Surgery for Multi-Task LearningarXiv:2001.06782Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al.2020 · 233 citations
  89. Scalable agent alignment via reward modeling: a research directionarXiv:1811.07871Jan Leike, David Krueger, Tom Everitt, et al.2018 · 227 citations
  90. Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence RerankingAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Tsung-Hsien Wen, Milica Gašić, Dongho Kim, et al.2015 · 216 citations
  91. Compositional Attention Networks for Machine ReasoningarXiv:1803.03067Drew A. Hudson, Christopher D. Manning2018 · 213 citations
  92. Nematus: a Toolkit for Neural Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al.2017 · 206 citations
  93. Multimodal Transformer for Multimodal Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shaowei Yao, Xiaojun Wan2020 · 200 citations
  94. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical ReasoningFindings of the Association for Computational LinguisticsJiaqi Chen, Jianheng Tang, Jinghui Qin, et al.2021 · 184 citations
  95. Measuring abstract reasoning in neural networksarXiv:1807.04225David G. T. Barrett, Felix Hill, Adam Santoro, et al.2018 · 173 citations
  96. DeepProbLog: Neural Probabilistic Logic ProgrammingarXiv:1805.10872Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, et al.2018 · 172 citations
  97. Mooncake: A KVCache-centric Disaggregated Architecture for LLM ServingFAST 2025Ruoyu Qin, Zheming Li, Weiran He, et al.2024 · 161 citations
  98. Abstraction and analogy-making in artificial intelligenceMelanie Mitchell2021 · 161 citations
  99. Continual Relation Learning via Episodic Memory Activation and ReconsolidationAnnual Meeting of the Association for Computational Linguistics (ACL)Xu Han, Yi Dai, Tianyu Gao, et al.2020 · 152 citations
  100. Recurrent Highway NetworksarXiv:1607.03474Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnik, et al.2016 · 147 citations

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