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Yoshua Bengio — all works

122 works · page 1 of 2 · 1–100 · ← Yoshua Bengio

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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. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling ↗arXiv:1412.3555 · no summary yetJunyoung Chung et al.2014 · 10,908 citations
  4. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
  5. On the Properties of Neural Machine Translation: Encoder-Decoder ApproachesarXiv:1409.1259Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, et al.2014 · 7,803 citations
  6. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  7. Generative Adversarial Nets ↗arXiv (Cornell University) · no summary yetIan J. Goodfellow et al.2014 · 5,790 citations
  8. HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Zhilin Yang, Peng Qi, Saizheng Zhang, et al.2018 · 3,557 citations
  9. Word Representations: A Simple and General Method for Semi-Supervised LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Turian, Lev-Arie Ratinov, Yoshua Bengio2010 · 2,450 citations
  10. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 ↗arXiv:1602.02830 · no summary yetMatthieu Courbariaux et al.2016 · 2,143 citations
  11. BinaryConnect: Training Deep Neural Networks with binary weights during propagations ↗arXiv:1511.00363 · no summary yetMatthieu Courbariaux, Yoshua Bengio, Jean-Pierre David2015 · 1,885 citations
  12. Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
  13. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,797 citations
  14. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations ↗arXiv:1609.07061 · no summary yetItay Hubara et al.2016 · 1,610 citations
  15. End-to-end attention-based large vocabulary speech recognition ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetDzmitry Bahdanau et al.2016 · 1,179 citations
  16. Theano: new features and speed improvements ↗arXiv:1211.5590 · no summary yetFrédéric Bastien et al.2012 · 1,111 citations
  17. 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
  18. A Neural Probabilistic Language ModelJMLR 3:1137–1155Yoshua Bengio, Réjean Ducharme, Pascal Vincent, et al.2003 · 985 citations
  19. Multi-Way, Multilingual Neural Machine Translation with a Shared Attention MechanismConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Orhan Firat, Kyunghyun Cho, Yoshua Bengio2016 · 833 citations
  20. Identifying and attacking the saddle point problem in high-dimensional non-convex optimization ↗arXiv (Cornell University) · no summary yetYann Dauphin et al.2014 · 818 citations
  21. On the Number of Linear Regions of Deep Neural Networks ↗arXiv (Cornell University) · no summary yetGuido Montúfar et al.2014 · 811 citations
  22. Curriculum LearningYoshua Bengio, Jérôme Louradour, Ronan Collobert, et al.Mova's core list · 724 citations
  23. Pointing the Unknown WordsAnnual Meeting of the Association for Computational Linguistics (ACL)Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.2016 · 651 citations
  24. On Using Monolingual Corpora in Neural Machine TranslationarXiv:1503.03535Caglar Gulcehre, Orhan Firat, Kelvin Xu, et al.2015 · 639 citations
  25. Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAnh Nguyen et al.2017 · 610 citations
  26. 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
  27. A Hierarchical Latent Variable Encoder-Decoder Model for Generating DialoguesProceedings of the AAAI Conference on Artificial IntelligenceIulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, et al.2016 · 547 citations
  28. Towards an Automatic Turing Test: Learning to Evaluate Dialogue ResponsesAnnual Meeting of the Association for Computational Linguistics (ACL)Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al.2017 · 499 citations
  29. Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding ↗Interspeech (USB) · no summary yetGrégoire Mesnil et al.2013 · 485 citations
  30. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
  31. Gated Feedback Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetChung, Junyoung et al.2015 · 438 citations
  32. End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results ↗arXiv (Cornell University) · no summary yetJan Chorowski et al.2014 · 416 citations
  33. 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
  34. Representation Learning: A Review and New PerspectivesarXiv:1206.5538Yoshua Bengio, Aaron Courville, Pascal Vincent2012 · 383 citations
  35. Managing extreme AI risks amid rapid progress ↗Science · no summary yetYoshua Bengio et al.2024 · 382 citations
  36. Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks ↗IEEE Transactions on Multimedia · no summary yetKyunghyun Cho, Aaron C. Courville, Yoshua Bengio2015 · 361 citations
  37. Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetIulian Vlad Serban et al.2016 · 351 citations
  38. An Actor-Critic Algorithm for Sequence PredictionarXiv:1607.07086Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, et al.2016 · 335 citations
  39. Speech Model Pre-Training for End-to-End Spoken Language Understanding ↗Interspeech (USB) · no summary yetLoren Lugosch et al.2019 · 328 citations
  40. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims ↗arXiv:2004.07213 · no summary yetMiles Brundage et al.2020 · 320 citations
  41. How to Construct Deep Recurrent Neural Networks ↗arXiv:1312.6026 · no summary yetRazvan Pascanu et al.2013 · 302 citations
  42. Hierarchical Multiscale Recurrent Neural Networks ↗arXiv:1609.01704 · no summary yetJunyoung Chung, Sungjin Ahn, Yoshua Bengio2016 · 288 citations
  43. ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation ↗IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetFrancesco Visin et al.2016 · 285 citations
  44. FigureQA: An Annotated Figure Dataset for Visual Reasoning ↗arXiv:1710.07300 · no summary yetSamira Ebrahimi Kahou et al.2017 · 240 citations
  45. Learning to Understand Phrases by Embedding the DictionaryTransactions of the Association for Computational Linguistics (TACL)Felix Hill, Kyunghyun Cho, Anna Korhonen, et al.2016 · 236 citations
  46. Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks ↗Interspeech (USB) · no summary yetSantiago Pascual et al.2019 · 234 citations
  47. Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetIulian Vlad Serban et al.2017 · 229 citations
  48. ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks ↗arXiv (Cornell University) · no summary yetFrancesco Visin et al.2015 · 228 citations
  49. Fine-grained attention mechanism for neural machine translation ↗Neurocomputing · no summary yetHeeyoul Choi, Kyunghyun Cho, Yoshua Bengio2018 · 208 citations
  50. Montreal Neural Machine Translation Systems for WMT'15 ↗Proceedings of the Tenth Workshop on Statistical Machine Translation · no summary yetSébastien Jean et al.2015 · 185 citations
  51. HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution ↗arXiv (Cornell University) · no summary yetNguyen, Eric et al.2023 · 184 citations
  52. Hyena Hierarchy: Towards Larger Convolutional Language Models ↗arXiv:2302.10866 · no summary yetMichael Poli et al.2023 · 182 citations
  53. Theano: A Python framework for fast computation of mathematical expressionsarXiv:1605.02688The Theano Development Team, Rami Al-Rfou, Guillaume Alain, et al.2016 · 179 citations
  54. Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetChinnadhurai Sankar et al.2019 · 174 citations
  55. Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks ↗Lecture notes in computer science · no summary yetÇağlar Gülçehre et al.2014 · 171 citations
  56. Blocks and Fuel: Frameworks for deep learning ↗arXiv:1506.00619 · no summary yetBart van Merrienboer et al.2015 · 152 citations
  57. FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYuwei Cheng et al.2021 · 149 citations
  58. On integrating a language model into neural machine translation ↗Computer Speech & Language · no summary yetÇağlar Gülçehre et al.2017 · 148 citations
  59. A Neural Knowledge Language Model ↗arXiv:1608.00318 · no summary yetSungjin Ahn et al.2016 · 146 citations
  60. Denoising Criterion for Variational Auto-Encoding Framework ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDaniel Im Jiwoong Im et al.2017 · 144 citations
  61. Straight to the Tree: Constituency Parsing with Neural Syntactic Distance ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYikang Shen et al.2018 · 132 citations
  62. BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning ↗arXiv:1810.08272 · no summary yetMaxime Chevalier-Boisvert et al.2018 · 123 citations
  63. Multi-Prediction Deep Boltzmann Machines ↗neural information processing systems · no summary yetIan Goodfellow et al.2013 · 121 citations
  64. Context-dependent word representation for neural machine translation ↗Computer Speech & Language · no summary yetHeeyoul Choi, Kyunghyun Cho, Yoshua Bengio2017 · 118 citations
  65. Gradient based sample selection for online continual learning ↗arXiv:1903.08671 · no summary yetRahaf Aljundi et al.2019 · 115 citations
  66. Architectural Complexity Measures of Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetSaizheng Zhang et al.2016 · 115 citations
  67. Multi-way, multilingual neural machine translation ↗Computer Speech & Language · no summary yetOrhan Fırat et al.2016 · 114 citations
  68. Boundary-Seeking Generative Adversarial Networks ↗arXiv (Cornell University) · no summary yetR Devon Hjelm et al.2017 · 113 citations
  69. Model evaluation for extreme risks ↗arXiv:2305.15324 · no summary yetToby Shevlane et al.2023 · 104 citations
  70. Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation ↗Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation · no summary yetJean Pouget-Abadie et al.2014 · 96 citations
  71. Learning to Compute Word Embeddings On the Fly ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2017 · 91 citations
  72. Foundational Challenges in Assuring Alignment and Safety of Large Language Models ↗arXiv:2404.09932 · no summary yetUsman Anwar et al.2024 · 87 citations
  73. On Multiplicative Integration with Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetYuhuai Wu et al.2016 · 69 citations
  74. CLOSURE: Assessing Systematic Generalization of CLEVR Models ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2019 · 67 citations
  75. Slow, Decorrelated Features for Pretraining Complex Cell-like Networks ↗neural information processing systems · no summary yetYoshua Bengio, James Bergstra2009 · 64 citations
  76. The representational geometry of word meanings acquired by neural machine translation models ↗Machine Translation · no summary yetFelix Hill et al.2017 · 58 citations
  77. Embedding Word Similarity with Neural Machine Translation ↗arXiv (Cornell University) · no summary yetFelix Hill et al.2014 · 58 citations
  78. Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes ↗Neural Computation · no summary yetÇağlar Gülçehre et al.2018 · 56 citations
  79. Not All Neural Embeddings are Born Equal ↗arXiv (Cornell University) · no summary yetFelix Hill et al.2014 · 53 citations
  80. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving ↗arXiv:2405.12205 · no summary yetAniket Didolkar et al.2024 · 45 citations
  81. International AI Safety Report ↗arXiv (Cornell University) · no summary yetYoshua Bengio et al.2025 · 41 citations
  82. GEO-Bench: Toward Foundation Models for Earth Monitoring ↗neural information processing systems · no summary yetAlexandre Lacoste et al.2023 · 41 citations
  83. Commonsense mining as knowledge base completion? A study on the impact of novelty ↗Proceedings of the Workshop on Generalization in the Age of Deep Learning · no summary yetStanislaw Jastrzębski et al.2018 · 41 citations
  84. Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes ↗arXiv (Cornell University) · no summary yetÇağlar Gülçehre et al.2016 · 37 citations
  85. Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning ↗arXiv (Cornell University) · no summary yetKyunghyun Cho, Yoshua Bengio2014 · 37 citations
  86. Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety ↗arXiv (Cornell University) · no summary yetTomek Korbak et al.2025 · 35 citations
  87. Task Loss Estimation for Sequence Prediction ↗arXiv (Cornell University) · no summary yetDzmitry Bahdanau et al.2015 · 29 citations
  88. Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems ↗arXiv (Cornell University) · no summary yetDavid Dalrymple et al.2024 · 24 citations
  89. AI-Assisted Generation of Difficult Math Questions ↗arXiv:2407.21009 · no summary yetVedant Shah et al.2024 · 23 citations
  90. Iterative Neural Autoregressive Distribution Estimator (NADE-k) ↗arXiv (Cornell University) · no summary yetTapani Raiko et al.2014 · 23 citations
  91. Self-Evolving Curriculum for LLM Reasoning ↗arXiv:2505.14970 · no summary yetXiaoyin Chen et al.2025 · 20 citations
  92. Machine learning and information theory concepts towards an AI Mathematician ↗arXiv:2403.04571 · no summary yetYoshua Bengio, Nikolay Malkin2024 · 18 citations
  93. Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? ↗arXiv:2502.15657 · no summary yetYoshua Bengio et al.2025 · 16 citations
  94. Bounding the Test Log-Likelihood of Generative Models ↗arXiv (Cornell University) · no summary yetYoshua Bengio, Yao, Li, Kyunghyun Cho2013 · 16 citations
  95. Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future ↗arXiv (Cornell University) · no summary yetNan Rosemary Ke et al.2019 · 15 citations
  96. Modeling the Long Term Future in Model-Based Reinforcement Learning ↗International Conference on Learning Representations · no summary yetNan Rosemary Ke et al.2018 · 14 citations
  97. International Scientific Report on the Safety of Advanced AI (Interim Report) ↗arXiv (Cornell University) · no summary yetYoshua Bengio et al.2024 · 13 citations
  98. Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions ↗neural information processing systems · no summary yetStefano Massaroli et al.2023 · 13 citations
  99. BabyAI 1.1 ↗arXiv (Cornell University) · no summary yetDavid Yu-Tung Hui et al.2020 · 12 citations
  100. NYU-MILA Neural Machine Translation Systems for WMT'16 ↗Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers · no summary yetJunyoung Chung, Kyunghyun Cho, Yoshua Bengio2016 · 12 citations

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