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Who cites Volodymyr Mnih

1,031 citations of their works from 829 papers of our library (of the 149,439 whose bibliographies we read) · 110 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Volodymyr Mnih

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  1. TensorFlow: A system for large-scale machine learningarXiv:1605.08695Martin Abadi, Paul Barham, Jianmin Chen, et al.2016 · 12,711 citations
  2. Effective Approaches to Attention-based Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Thang Luong, Hieu Pham, Christopher D. Manning2015 · 9,718 citations
  3. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsarXiv:1603.04467Martín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,512 citations
  4. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  5. Representation Learning with Contrastive Predictive CodingarXiv:1807.03748Aaron van den Oord, Yazhe Li, Oriol Vinyals2018 · 7,022 citations
  6. Teaching Machines to Read and ComprehendarXiv:1506.03340Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al.2015 · 3,858 citations
  7. Towards A Rigorous Science of Interpretable Machine LearningarXiv:1702.08608Finale Doshi-Velez, Been Kim2017 · 3,226 citations
  8. 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
  9. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  10. Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
  11. 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
  12. The Concrete Distribution: A Continuous Relaxation of Discrete Random VariablesarXiv:1611.00712Chris J. Maddison, Andriy Mnih, Yee Whye Teh2016 · 1,629 citations
  13. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention TransferarXiv:1612.03928Sergey Zagoruyko, Nikos Komodakis2016 · 1,542 citations
  14. Deep Reinforcement Learning for Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Will Monroe, Alan Ritter, et al.2016 · 1,502 citations
  15. Sequence Level Training with Recurrent Neural NetworksarXiv:1511.06732Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.2015 · 1,370 citations
  16. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
  17. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence PairsTransactions of the Association for Computational Linguistics (TACL)Wenpeng Yin, Hinrich Schütze, Bing Xiang, et al.2016 · 1,055 citations
  18. BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainarXiv:1708.06733Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg2017 · 1,024 citations
  19. 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
  20. DRAW: A Recurrent Neural Network For Image GenerationarXiv:1502.04623Karol Gregor, Ivo Danihelka, Alex Graves, et al.2015 · 947 citations
  21. Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Yen-Chun Chen, Mohit Bansal2018 · 826 citations
  22. Reasoning about Entailment with Neural AttentionarXiv:1509.06664Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.2015 · 802 citations
  23. Red Teaming Language Models with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Saffron Huang, Francis Song, et al.2022 · 700 citations
  24. PathNet: Evolution Channels Gradient Descent in Super Neural NetworksarXiv:1701.08734Chrisantha Fernando, Dylan Banarse, Charles Blundell, et al.2017 · 667 citations
  25. AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationarXiv:2308.08155Qingyun Wu, Gagan Bansal, Jieyu Zhang, et al.2023 · 606 citations
  26. RL²: Fast Reinforcement Learning via Slow Reinforcement LearningarXiv:1611.02779Yan Duan, John Schulman, Xi Chen, et al.2016 · 524 citations
  27. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  28. Semi-Supervised Sequence Modeling with Cross-View TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.2018 · 494 citations
  29. On the Automatic Generation of Medical Imaging ReportsAnnual Meeting of the Association for Computational Linguistics (ACL)Baoyu Jing, Pengtao Xie, Eric Xing2018 · 484 citations
  30. An Unsupervised Neural Attention Model for Aspect ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Ruidan He, Wee Sun Lee, Hwee Tou Ng, et al.2017 · 477 citations
  31. Action-Conditional Video Prediction using Deep Networks in Atari GamesarXiv:1507.08750Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, et al.2015 · 467 citations
  32. Gated-Attention Readers for Text ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, et al.2016 · 463 citations
  33. Massively Parallel Methods for Deep Reinforcement LearningarXiv:1507.04296Arun Nair, Praveen Srinivasan, Sam Blackwell, et al.2015 · 427 citations
  34. WebShop: Towards Scalable Real-World Web Interaction with Grounded Language AgentsConference on Neural Information Processing Systems (NeurIPS)Shunyu Yao, Howard Chen, John Yang, et al.2022 · 420 citations
  35. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language UnderstandingarXiv:1810.02338Kexin Yi, Jiajun Wu, Chuang Gan, et al.2018 · 407 citations
  36. Learning Latent Dynamics for Planning from PixelsarXiv:1811.04551Danijar Hafner, Timothy Lillicrap, Ian Fischer, et al.2018 · 394 citations
  37. 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
  38. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
  39. Learning to Navigate Unseen Environments: Back Translation with Environmental DropoutConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hao Tan, Licheng Yu, Mohit Bansal2019 · 358 citations
  40. Progress & Compress: A scalable framework for continual learningarXiv:1805.06370Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, et al.2018 · 338 citations
  41. Reinforcement Learning with Unsupervised Auxiliary TasksarXiv:1611.05397Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, et al.2016 · 319 citations
  42. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguagearXiv:2204.00598Andy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 302 citations
  43. Exploration by Random Network DistillationarXiv:1810.12894Yuri Burda, Harrison Edwards, Amos Storkey, et al.2018 · 302 citations
  44. Robust Distant Supervision Relation Extraction via Deep Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Pengda Qin, Weiran Xu, William Yang Wang2018 · 298 citations
  45. xLSTM: Extended Long Short-Term MemoryConference on Neural Information Processing Systems (NeurIPS)Maximilian Beck, Korbinian Pöppel, Markus Spanring, et al.2024 · 296 citations
  46. Hierarchical Multiscale Recurrent Neural NetworksarXiv:1609.01704Junyoung Chung, Sungjin Ahn, Yoshua Bengio2016 · 288 citations
  47. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
  48. Mapping Instructions and Visual Observations to Actions with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Dipendra Misra, John Langford, Yoav Artzi2017 · 255 citations
  49. Transformers learn in-context by gradient descentarXiv:2212.07677Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.2022 · 247 citations
  50. A Study of Reinforcement Learning for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Lijun Wu, Fei Tian, Tao Qin, et al.2018 · 234 citations
  51. Gradient Surgery for Multi-Task LearningarXiv:2001.06782Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al.2020 · 233 citations
  52. Scalable agent alignment via reward modeling: a research directionarXiv:1811.07871Jan Leike, David Krueger, Tom Everitt, et al.2018 · 227 citations
  53. Reinforced Self-Training (ReST) for Language ModelingarXiv:2308.08998Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 224 citations
  54. Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement LearningarXiv:1910.00177Xue Bin Peng, Aviral Kumar, Grace Zhang, et al.2019 · 223 citations
  55. Unsupervised Question Decomposition for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Patrick Lewis, Wen-tau Yih, et al.2020 · 222 citations
  56. Active Example Selection for In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Yiming Zhang, Shi Feng, Chenhao Tan2022 · 209 citations
  57. A Convolutional Attention Network for Extreme Summarization of Source CodearXiv:1602.03001Miltiadis Allamanis, Hao Peng, Charles Sutton2016 · 198 citations
  58. A Dataset for Multi-Target Stance DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu2017 · 190 citations
  59. Grounded Language Learning in a Simulated 3D WorldarXiv:1706.06551Karl Moritz Hermann, Felix Hill, Simon Green, et al.2017 · 190 citations
  60. Automatic Goal Generation for Reinforcement Learning AgentsarXiv:1705.06366Carlos Florensa, David Held, Xinyang Geng, et al.2017 · 181 citations
  61. Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsarXiv:2302.01560Zihao Wang, Shaofei Cai, Guanzhou Chen, et al.2023 · 174 citations
  62. Promptbreeder: Self-Referential Self-Improvement Via Prompt EvolutionarXiv:2309.16797Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, et al.2023 · 174 citations
  63. CLIPort: What and Where Pathways for Robotic ManipulationarXiv:2109.12098Mohit Shridhar, Lucas Manuelli, Dieter Fox2021 · 159 citations
  64. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Shenzhi Wang, Le Yu, Chang Gao, et al.2025 · 152 citations
  65. HyperTree Proof Search for Neural Theorem ProvingConference on Neural Information Processing Systems (NeurIPS)Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, et al.2022 · 151 citations
  66. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgearXiv:2206.08853Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.2022 · 149 citations
  67. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
  68. Diversity is All You Need: Learning Skills without a Reward FunctionarXiv:1802.06070Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, et al.2018 · 145 citations
  69. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 144 citations
  70. Measuring the Intrinsic Dimension of Objective LandscapesarXiv:1804.08838Chunyuan Li, Heerad Farkhoor, Rosanne Liu, et al.2018 · 143 citations
  71. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning WorkloadsarXiv:2008.09213Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, et al.2020 · 141 citations
  72. Reinforcement Learning Neural Turing Machines - RevisedarXiv:1505.00521Wojciech Zaremba, Ilya Sutskever2015 · 139 citations
  73. Secrets of RLHF in Large Language Models Part I: PPOarXiv:2307.04964Rui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 135 citations
  74. DeepMind LabarXiv:1612.03801Charles Beattie, Joel Z. Leibo, Denis Teplyashin, et al.2016 · 134 citations
  75. Pre-Trained Language Models for Interactive Decision-MakingarXiv:2202.01771Shuang Li, Xavier Puig, Chris Paxton, et al.2022 · 124 citations
  76. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 122 citations
  77. Reinforcement Learning on Web Interfaces Using Workflow-Guided ExplorationarXiv:1802.08802Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, et al.2018 · 119 citations
  78. Gradient based sample selection for online continual learningarXiv:1903.08671Rahaf Aljundi, Min Lin, Baptiste Goujaud, et al.2019 · 115 citations
  79. Gymnasium: A Standard Interface for Reinforcement Learning EnvironmentsarXiv:2407.17032Mark Towers, Ariel Kwiatkowski, Jordan Terry, et al.2024 · 113 citations
  80. Linear Transformers Are Secretly Fast Weight ProgrammersarXiv:2102.11174Imanol Schlag, Kazuki Irie, Jurgen Schmidhuber2021 · 111 citations
  81. Disentangling Length from Quality in Direct Preference OptimizationFindings of the Association for Computational LinguisticsRyan Park, Rafael Rafailov, Stefano Ermon, et al.2024 · 105 citations
  82. Rewarding Progress: Scaling Automated Process Verifiers for LLM ReasoningarXiv:2410.08146Amrith Setlur, Chirag Nagpal, Adam Fisch, et al.2024 · 93 citations
  83. Deep Reinforcement Learning at the Edge of the Statistical PrecipicearXiv:2108.13264Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, et al.2021 · 90 citations
  84. AndroidWorld: A Dynamic Benchmarking Environment for Autonomous AgentsarXiv:2405.14573Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, et al.2024 · 82 citations
  85. Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attentionarXiv:2404.07143Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal2024 · 80 citations
  86. Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Julia Kreutzer, Joshua Uyheng, Stefan Riezler2018 · 73 citations
  87. Learning to Reason under Off-Policy GuidanceConference on Neural Information Processing Systems (NeurIPS)Jianhao Yan, Yafu Li, Zican Hu, et al.2025 · 68 citations
  88. Reasoning with Exploration: An Entropy PerspectivearXiv:2506.14758Daixuan Cheng, Shaohan Huang, Xuekai Zhu, et al.2025 · 63 citations
  89. OpenAgents: An Open Platform for Language Agents in the WildarXiv:2310.10634Tianbao Xie, Fan Zhou, Zhoujun Cheng, et al.2023 · 62 citations
  90. ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Mingjie Liu, Shizhe Diao, Ximing Lu, et al.2025 · 58 citations
  91. End-to-end Deep Reinforcement Learning Based Coreference ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Hongliang Fei, Xu Li, Dingcheng Li, et al.2019 · 58 citations
  92. Zoology: Measuring and Improving Recall in Efficient Language ModelsarXiv:2312.04927Simran Arora; Sabri Eyuboglu; Aman Timalsina; Isys Johnson; Michael Poli; James Zou; Atri Rudra;, Christopher Re2023 · 55 citations
  93. Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse LearningInternational Conference on Computational Linguistics (COLING)Fengyu Guo, Ruifang He, Di Jin, et al.2018 · 49 citations
  94. Zero Pronoun Resolution with Attention-based Neural NetworkInternational Conference on Computational Linguistics (COLING)Qingyu Yin, Yu Zhang, Weinan Zhang, et al.2018 · 44 citations
  95. TransS-Driven Joint Learning Architecture for Implicit Discourse Relation RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Ruifang He, Jian Wang, Fengyu Guo, et al.2020 · 41 citations
  96. Aligning Language Models with Preferences through f-divergence MinimizationarXiv:2302.08215Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.2023 · 39 citations
  97. CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and GeneralizationarXiv:2310.10134Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, et al.2023 · 34 citations
  98. Rethinking Entropy Interventions in RLVR: An Entropy Change PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Haoyang Liu, et al.2026 · 22 citations
  99. Just read twice: closing the recall gap for recurrent language modelsarXiv:2407.05483Simran Arora; Aman Timalsina; Aaryan Singhal; Benjamin Spector; Sabri Eyuboglu; Xinyi Zhao; Ashish Rao; Atri Rudra;, Christopher Re2024 · 8 citations
  100. MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoliang Fu, Jiaye Lin, Yangyi Fang, et al.2026 · 7 citations

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