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Who cites Jurgen Schmidhuber

1,218 citations of their works from 1,133 papers of our library (of the 149,439 whose bibliographies we read) · 199 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Jurgen Schmidhuber

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  1. Sequence to Sequence Learning with Neural NetworksarXiv:1409.3215Ilya Sutskever, Oriol Vinyals, Quoc V. Le2014 · 18,409 citations
  2. Deep Residual Learning for Image RecognitionarXiv:1512.03385Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.2015 · 9,425 citations
  3. LSTM: A Search Space OdysseyIEEE Transactions on Neural Networks and Learning SystemsKlaus Greff, Rupesh Kumar Srivastava, Jan Koutnik, et al.2015 · 7,008 citations
  4. Character-level Convolutional Networks for Text ClassificationarXiv:1509.01626Xiang Zhang, Junbo Zhao, Yann LeCun2015 · 4,827 citations
  5. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
  6. Bidirectional LSTM-CRF Models for Sequence TaggingarXiv:1508.01991Zhiheng Huang, Wei Xu, Kai Yu2015 · 3,822 citations
  7. ImageNet Classification with Deep Convolutional Neural NetworksNeurIPS 2012Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton2012 · 2,801 citations
  8. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  9. Deep Networks with Stochastic DepthLecture notes in computer scienceGao Huang, Yu Sun, Zhuang Liu, et al.2016 · 2,160 citations
  10. Bidirectional Attention Flow for Machine ComprehensionarXiv:1611.01603Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.2016 · 1,988 citations
  11. Incorporating Copying Mechanism in Sequence-to-Sequence LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiatao Gu, Zhengdong Lu, Hang Li, et al.2016 · 1,915 citations
  12. Pointer Sentinel Mixture ModelsarXiv:1609.07843Stephen Merity, Caiming Xiong, James Bradbury, et al.2016 · 1,733 citations
  13. End-to-End Relation Extraction using LSTMs on Sequences and Tree StructuresAnnual Meeting of the Association for Computational Linguistics (ACL)Makoto Miwa, Mohit Bansal2016 · 1,606 citations
  14. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
  15. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention TransferarXiv:1612.03928Sergey Zagoruyko, Nikos Komodakis2016 · 1,542 citations
  16. Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion GraphAnnual Meeting of the Association for Computational Linguistics (ACL)AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.2018 · 1,522 citations
  17. Sequence Transduction with Recurrent Neural NetworksarXiv:1211.3711Alex Graves2012 · 1,433 citations
  18. OverFeat: Integrated Recognition, Localization and Detection using Convolutional NetworksarXiv:1312.6229Pierre Sermanet, David Eigen, Xiang Zhang, et al.2013 · 1,423 citations
  19. Generation and Comprehension of Unambiguous Object DescriptionsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunhua Mao, Jonathan Huang, Alexander Toshev, et al.2015 · 1,388 citations
  20. Deep Biaffine Attention for Neural Dependency ParsingTimothy Dozat, Christopher D. Manning2016 · 1,326 citations
  21. A Primer on Neural Network Models for Natural Language ProcessingJournal of Artificial Intelligence ResearchYoav Goldberg2015 · 1,303 citations
  22. Adversarial NLI: A New Benchmark for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Adina Williams, Emily Dinan, et al.2020 · 1,296 citations
  23. Neural Responding Machine for Short-Text ConversationAnnual Meeting of the Association for Computational Linguistics (ACL)Lifeng Shang, Zhengdong Lu, Hang Li2015 · 1,257 citations
  24. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsarXiv:1312.6034Karen Simonyan, Andrea Vedaldi, Andrew Zisserman2013 · 1,210 citations
  25. Modeling Context in Referring ExpressionsLecture notes in computer scienceLicheng Yu, Patrick Poirson, Shan Yang, et al.2016 · 1,203 citations
  26. 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
  27. Exact solutions to the nonlinear dynamics of learning in deep linear neural networksarXiv:1312.6120Andrew M. Saxe, James L. McClelland, Surya Ganguli2013 · 1,027 citations
  28. BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainarXiv:1708.06733Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg2017 · 1,024 citations
  29. Visualizing and Understanding Recurrent NetworksarXiv:1506.02078Andrej Karpathy, Justin Johnson, Li Fei-Fei2015 · 954 citations
  30. 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
  31. Transition-Based Dependency Parsing with Stack Long Short-Term MemoryChris Dyer, Miguel Ballesteros, Wang Ling, et al.2015 · 868 citations
  32. Reasoning about Entailment with Neural AttentionarXiv:1509.06664Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.2015 · 802 citations
  33. Visualizing and Understanding Convolutional NetworksarXiv:1311.2901Matthew D Zeiler, Rob Fergus2013 · 771 citations
  34. The Goldilocks Principle: Reading Children's Books with Explicit Memory RepresentationsarXiv:1511.02301Felix Hill, Antoine Bordes, Sumit Chopra, et al.2015 · 708 citations
  35. Efficient Neural Architecture Search via Parameter SharingarXiv:1802.03268Hieu Pham, Melody Y. Guan, Barret Zoph, et al.2018 · 699 citations
  36. Highway NetworksarXiv:1505.00387Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber2015 · 680 citations
  37. Regularizing and Optimizing LSTM Language ModelsarXiv:1708.02182Stephen Merity, Nitish Shirish Keskar, Richard Socher2017 · 633 citations
  38. Transformation Networks for Target-Oriented Sentiment ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Li, Lidong Bing, Wai Lam, et al.2018 · 600 citations
  39. 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
  40. 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
  41. Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative RefinementConference on Empirical Methods in Natural Language Processing (EMNLP)Jason Lee, Elman Mansimov, Kyunghyun Cho2018 · 568 citations
  42. 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
  43. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  44. Learning Structured Sparsity in Deep Neural NetworksarXiv:1608.03665Wei Wen, Chunpeng Wu, Yandan Wang, et al.2016 · 530 citations
  45. Deep Learning Scaling is Predictable, EmpiricallyarXiv:1712.00409Joel Hestness, Sharan Narang, Newsha Ardalani, et al.2017 · 518 citations
  46. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  47. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  48. Action-Conditional Video Prediction using Deep Networks in Atari GamesarXiv:1507.08750Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, et al.2015 · 467 citations
  49. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
  50. Deep Learning: A Critical AppraisalarXiv:1801.00631Gary Marcus2018 · 417 citations
  51. Tying Word Vectors and Word Classifiers: A Loss Framework for Language ModelingarXiv:1611.01462Hakan Inan, Khashayar Khosravi, Richard Socher2016 · 414 citations
  52. Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMsConference on Empirical Methods in Natural Language Processing (EMNLP)Miguel Ballesteros, Chris Dyer, Noah A. Smith2015 · 403 citations
  53. Representation Learning: A Review and New PerspectivesarXiv:1206.5538Yoshua Bengio, Aaron Courville, Pascal Vincent2012 · 383 citations
  54. An Analysis of Encoder Representations in Transformer-Based Machine TranslationEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlessandro Raganato, Jörg Tiedemann2018 · 369 citations
  55. Compressive Transformers for Long-Range Sequence ModellingarXiv:1911.05507Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar, et al.2019 · 340 citations
  56. On the Practical Computational Power of Finite Precision RNNs for Language RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Gail Weiss, Yoav Goldberg, Eran Yahav2018 · 313 citations
  57. Finding Function in Form: Compositional Character Models for Open Vocabulary Word RepresentationarXiv:1508.02096Wang Ling, Tiago Luis, Luis Marujo, et al.2015 · 308 citations
  58. Overcoming Catastrophic Forgetting by Incremental Moment MatchingarXiv:1703.08475Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, et al.2017 · 298 citations
  59. xLSTM: Extended Long Short-Term MemoryConference on Neural Information Processing Systems (NeurIPS)Maximilian Beck, Korbinian Pöppel, Markus Spanring, et al.2024 · 296 citations
  60. Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Jue Wang, Wei Lu2020 · 288 citations
  61. Hierarchical Multiscale Recurrent Neural NetworksarXiv:1609.01704Junyoung Chung, Sungjin Ahn, Yoshua Bengio2016 · 288 citations
  62. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
  63. Reinforced Mnemonic Reader for Machine Reading ComprehensionInternational Joint Conference on Artificial IntelligenceMinghao Hu, Yuxing Peng, Zhen Huang, et al.2017 · 273 citations
  64. Deep Recurrent Models with Fast-Forward Connections for Neural Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Jie Zhou, Ying Cao, Xuguang Wang, et al.2016 · 265 citations
  65. Transformers learn in-context by gradient descentarXiv:2212.07677Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.2022 · 247 citations
  66. CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of ServicearXiv:1805.01217 · Artif. Intell. Law 27 (2019) 117-139Marco Lippi, Przemyslaw Palka, Giuseppe Contissa, et al.2018 · 246 citations
  67. What learning algorithm is in-context learning? Investigations with linear modelsarXiv:2211.15661Ekin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022 · 236 citations
  68. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsarXiv:2407.16741Xingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 221 citations
  69. 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
  70. Morphological Inflection Generation with Hard Monotonic AttentionAnnual Meeting of the Association for Computational Linguistics (ACL)Roee Aharoni, Yoav Goldberg2017 · 211 citations
  71. 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
  72. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
  73. Improving Neural Language Models with a Continuous CachearXiv:1612.04426Edouard Grave, Armand Joulin, Nicolas Usunier2016 · 179 citations
  74. Data Augmentation via Dependency Tree Morphing for Low-Resource LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Gözde Gül Şahin, Mark Steedman2018 · 171 citations
  75. Humor Detection: A Transformer Gets the Last LaughConference on Empirical Methods in Natural Language Processing (EMNLP)Orion Weller, Kevin Seppi2019 · 165 citations
  76. Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgearXiv:2410.02736Jiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 148 citations
  77. Recurrent Highway NetworksarXiv:1607.03474Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnik, et al.2016 · 147 citations
  78. SGM: Sequence Generation Model for Multi-label ClassificationInternational Conference on Computational Linguistics (COLING)Pengcheng Yang, Xu Sun, Wei Li, et al.2018 · 146 citations
  79. Adversarial Connective-exploiting Networks for Implicit Discourse Relation ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.2017 · 145 citations
  80. Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QAAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen Jiang, Mohit Bansal2019 · 143 citations
  81. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTsTransactions of the Association for Computational Linguistics (TACL)Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, et al.2021 · 141 citations
  82. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
  83. Character-Level Language Modeling with Deeper Self-AttentionProceedings of the AAAI Conference on Artificial IntelligenceRami Al-Rfou, Dokook Choe, Noah Constant, et al.2018 · 138 citations
  84. Affective and Contextual Embedding for Sarcasm DetectionInternational Conference on Computational Linguistics (COLING)Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.2020 · 135 citations
  85. The Impact of Positional Encoding on Length Generalization in TransformersConference on Neural Information Processing Systems (NeurIPS)Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, et al.2023 · 134 citations
  86. Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge EnhancementConference on Empirical Methods in Natural Language Processing (EMNLP)Hui Liu, Wenya Wang, Haoliang Li2022 · 132 citations
  87. Still a Pain in the Neck: Evaluating Text Representations on Lexical CompositionTransactions of the Association for Computational Linguistics (TACL)Vered Shwartz, Ido Dagan2019 · 130 citations
  88. Arabic Language Sentiment Analysis on Health ServicesarXiv:1702.03197 · Proc. 1st International Workshop on Arabic Script Analysis and Recognition (ASAR '17), pp. 114-118. IEEE, 2017Abdulaziz M. Alayba, Vasile Palade, Matthew England, et al.2017 · 126 citations
  89. Data Augmentation for Morphological ReinflectionConference on Computational Natural Language Learning (CoNLL)Miikka Silfverberg, Adam Wiemerslage, Ling Liu, et al.2017 · 122 citations
  90. Direct Acoustics-to-Word Models for English Conversational Speech RecognitionInterspeechKartik Audhkhasi, Bhuvana Ramabhadran, George Saon, et al.2017 · 122 citations
  91. Deliberative Alignment: Reasoning Enables Safer Language ModelsarXiv:2412.16339Melody Y. Guan, Manas Joglekar, Eric Wallace, et al.2024 · 115 citations
  92. Unified Pragmatic Models for Generating and Following InstructionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Daniel Fried, Jacob Andreas, Dan Klein2018 · 115 citations
  93. A Dynamic LLM-Powered Agent Network for Task-Oriented Agent CollaborationarXiv:2310.02170Zijun Liu, Yanzhe Zhang, Peng Li, et al.2023 · 114 citations
  94. On the Relation between Linguistic Typology and (Limitations of) Multilingual Language ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, et al.2018 · 113 citations
  95. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
  96. Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP)Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 99 citations
  97. A Stacking Gated Neural Architecture for Implicit Discourse Relation ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Lianhui Qin, Zhisong Zhang, Hai Zhao2016 · 98 citations
  98. Teaching Algorithmic Reasoning via In-context LearningarXiv:2211.09066Hattie Zhou, Azade Nova, Hugo Larochelle, et al.2022 · 96 citations
  99. Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
  100. AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations

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