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Ruslan Salakhutdinov — all works

354 works · page 1 of 4 · 1–100 · ← Ruslan Salakhutdinov

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  1. Dropout: A Simple Way to Prevent Neural Networks from OverfittingJMLR 15(56):1929–1958Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, et al.2014 · 34,422 citations
  2. Reducing the Dimensionality of Data with Neural Networks ↗Science · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2006 · 21,029 citations
  3. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionarXiv:1502.03044Kelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,670 citations
  4. Improving neural networks by preventing co-adaptation of feature detectors ↗arXiv:1207.0580 · no summary yetGeoffrey E. Hinton et al.2012 · 6,645 citations
  5. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetZihang Dai et al.2019 · 3,901 citations
  6. XLNet: Generalized Autoregressive Pretraining for Language UnderstandingarXiv:1906.08237Zhilin Yang, Zihang Dai, Yiming Yang, et al.2019 · 3,857 citations
  7. 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
  8. Probabilistic Matrix Factorization ↗neural information processing systems · no summary yetAndriy Mnih, Ruslan Salakhutdinov2007 · 3,483 citations
  9. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden UnitsIEEE/ACM Transactions on Audio Speech and Language ProcessingWei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, et al.2021 · 3,458 citations
  10. Siamese Neural Networks for One-shot Image Recognition ↗ICML 2015 Deep Learning Workshop · no summary yetGregory Koch, Richard Zemel, Ruslan Salakhutdinov2015 · 3,175 citations
  11. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksIEEE International Conference on Computer Vision (ICCV)Yukun Zhu, Ryan Kiros, Richard Zemel, et al.2015 · 3,083 citations
  12. Human-level concept learning through probabilistic program induction ↗Science 350(6266):1332–1338 · no summary yetBrenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum2015 · 2,959 citations
  13. Multimodal Transformer for Unaligned Multimodal Language SequencesAnnual Meeting of the Association for Computational Linguistics (ACL)Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.2019 · 2,193 citations
  14. Restricted Boltzmann machines for collaborative filtering ↗International Conference on Machine Learning · no summary yetRuslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton2007 · 1,865 citations
  15. Deep Boltzmann machines ↗no summary yetRuslan Salakhutdinov, Geoffrey E. Hinton2009 · 1,728 citations
  16. Neighbourhood Components Analysis ↗no summary yetJacob Goldberger et al.2004 · 1,676 citations
  17. Unsupervised Learning of Video Representations using LSTMs ↗arXiv (Cornell University) · no summary yetNitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov2015 · 1,616 citations
  18. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo ↗International Conference on Machine Learning · no summary yetRuslan Salakhutdinov, Andriy Mnih2008 · 1,437 citations
  19. Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsarXiv:1411.2539Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,371 citations
  20. Skip-Thought Vectors ↗arXiv (Cornell University) · no summary yetRyan Kiros et al.2015 · 1,267 citations
  21. Evaluation methods for topic models ↗International Conference on Machine Learning · no summary yetHanna Wallach et al.2009 · 922 citations
  22. Multimodal Learning with Deep Boltzmann Machines ↗no summary yetNitish Srivastava, Ruslan Salakhutdinov2012 · 657 citations
  23. Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetHaitian Sun et al.2018 · 623 citations
  24. Multimodal Neural Language Models ↗no summary yetRyan Kiros, Ruslan Salakhutdinov, Rich Zemel2014 · 589 citations
  25. Deep learning for neuroimaging: a validation study ↗Frontiers in Neuroscience · no summary yetSergey Plis et al.2014 · 588 citations
  26. Style Transfer Through Back-TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.2018 · 558 citations
  27. Toward Controlled Generation of TextarXiv:1703.00955Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.2017 · 537 citations
  28. Hamming Distance Metric Learning ↗no summary yetMohammad Norouzi, David J. Fleet, Ruslan Salakhutdinov2012 · 485 citations
  29. An Efficient Learning Procedure for Deep Boltzmann Machines ↗Neural Computation · no summary yetRuslan Salakhutdinov, Geoffrey E. Hinton2012 · 485 citations
  30. 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
  31. Replicated Softmax: an Undirected Topic Model ↗neural information processing systems · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2009 · 443 citations
  32. On the quantitative analysis of deep belief networks ↗International Conference on Machine Learning · no summary yetRuslan Salakhutdinov, Iain Murray2008 · 436 citations
  33. Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure ↗no summary yetRuslan Salakhutdinov, Geoffrey E. Hinton2007 · 434 citations
  34. On Exact Computation with an Infinitely Wide Neural Net ↗arXiv:1904.11955 · no summary yetSanjeev Arora et al.2019 · 396 citations
  35. Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetJimmy Lei Ba et al.2015 · 361 citations
  36. Spatially Adaptive Computation Time for Residual Networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMichael Figurnov et al.2017 · 351 citations
  37. Revisiting Semi-Supervised Learning with Graph Embeddings ↗arXiv (Cornell University) · no summary yetZhilin Yang, William W. Cohen, Ruslan Salakhutdinov2016 · 340 citations
  38. Learning to share visual appearance for multiclass object detection ↗no summary yetRuslan Salakhutdinov, Antonio B. Torralba, Joshua B. Tenenbaum2011 · 338 citations
  39. Efficient Learning of Deep Boltzmann Machines ↗no summary yetRuslan Salakhutdinov, Hugo Larochelle2010 · 335 citations
  40. The More You Know: Using Knowledge Graphs for Image Classification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta2017 · 326 citations
  41. Importance Weighted Autoencoders ↗arXiv (Cornell University) · no summary yetYuri Burda, Roger Grosse, Ruslan Salakhutdinov2015 · 316 citations
  42. Action Recognition using Visual Attention ↗arXiv (Cornell University) · no summary yetShikhar Sharma, Ryan Kiros, Ruslan Salakhutdinov2015 · 313 citations
  43. Learning Factorized Multimodal Representations ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2018 · 286 citations
  44. Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks ↗arXiv (Cornell University) · no summary yetZhilin Yang, Ruslan Salakhutdinov, William W. Cohen2017 · 285 citations
  45. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 271 citations
  46. Towards Debiasing Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Pu Liang, Irene Mengze Li, Emily Zheng, et al.2020 · 262 citations
  47. Modelling Relational Data using Bayesian Clustered Tensor Factorization ↗no summary yetIlya Sutskever, Ruslan Salakhutdinov, Joshua B. Tenenbaum2009 · 255 citations
  48. Object Goal Navigation using Goal-Oriented Semantic Exploration ↗arXiv (Cornell University) · no summary yetDevendra Singh Chaplot et al.2020 · 245 citations
  49. Learning to Explore using Active Neural SLAM ↗arXiv (Cornell University) · no summary yetDevendra Singh Chaplot et al.2020 · 243 citations
  50. Politeness Transfer: A Tag and Generate ApproachAnnual Meeting of the Association for Computational Linguistics (ACL)Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.2020 · 235 citations
  51. Neural Topological SLAM for Visual Navigation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDevendra Singh Chaplot et al.2020 · 227 citations
  52. Multi-Task Cross-Lingual Sequence Tagging from Scratch ↗arXiv (Cornell University) · no summary yetZhilin Yang, Ruslan Salakhutdinov, William W. Cohen2016 · 226 citations
  53. Good Semi-supervised Learning that Requires a Bad GAN ↗arXiv (Cornell University) · no summary yetDai, Zihang et al.2017 · 220 citations
  54. Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning ↗arXiv (Cornell University) · no summary yetEmilio Parisotto, Jimmy Lei Ba, Ruslan Salakhutdinov2015 · 217 citations
  55. Exploiting Image-trained CNN Architectures for Unconstrained Video Classification ↗British Machine Vision Conference (BMVC) · no summary yetShengxin Zha et al.2015 · 216 citations
  56. Deep Sets ↗arXiv (Cornell University) · no summary yetManzil Zaheer et al.2017 · 199 citations
  57. Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetYao-Hung Hubert Tsai et al.2019 · 194 citations
  58. Semi-Supervised QA with Generative Domain-Adaptive Nets ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhilin Yang et al.2017 · 187 citations
  59. Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes ↗neural information processing systems · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2007 · 178 citations
  60. Gated-Attention Architectures for Task-Oriented Language Grounding ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDevendra Singh Chaplot et al.2018 · 177 citations
  61. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model ↗arXiv (Cornell University) · no summary yetZhilin Yang et al.2017 · 174 citations
  62. Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ↗arXiv (Cornell University) · no summary yetZichao Yang et al.2017 · 174 citations
  63. Learning Representations for Multimodal Data with Deep Belief Nets ↗no summary yetNitish Srivastava, Ruslan Salakhutdinov2012 · 168 citations
  64. Robust Boltzmann Machines for recognition and denoising ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton2012 · 168 citations
  65. Discriminative Transfer Learning with Tree-based Priors ↗no summary yetNitish Srivastava, Ruslan Salakhutdinov2013 · 167 citations
  66. Learning Robust Visual-Semantic Embeddings ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetYao-Hung Hubert Tsai, Liang-Kang Huang, Ruslan Salakhutdinov2017 · 165 citations
  67. Path-SGD: Path-Normalized Optimization in Deep Neural Networks ↗arXiv (Cornell University) · no summary yetBehnam Neyshabur, Ruslan Salakhutdinov, Nathan Srebro2015 · 165 citations
  68. Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks ↗NeuroImage · no summary yetR Devon Hjelm et al.2014 · 153 citations
  69. Neural Models for Reasoning over Multiple Mentions Using CoreferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bhuwan Dhingra, Qiao Jin, Zhilin Yang, et al.2018 · 151 citations
  70. Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training? ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetWei-Ning Hsu et al.2021 · 147 citations
  71. Multi-task Neural Networks for QSAR Predictions ↗arXiv (Cornell University) · no summary yetGeorge E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov2014 · 144 citations
  72. Think Locally, Act Globally: Federated Learning with Local and Global Representations ↗arXiv (Cornell University) · no summary yetPaul Pu Liang et al.2020 · 140 citations
  73. MineRL: A Large-Scale Dataset of Minecraft Demonstrations ↗International Joint Conference on Artificial Intelligence · no summary yetWilliam H. Guss et al.2019 · 132 citations
  74. Optimization with EM and expectation-conjugate-gradient ↗no summary yetRuslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani2003 · 132 citations
  75. segDeepM: Exploiting segmentation and context in deep neural networks for object detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYukun Zhu et al.2015 · 129 citations
  76. Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels ↗arXiv (Cornell University) · no summary yetSimon S. Du et al.2019 · 128 citations
  77. Architectural Complexity Measures of Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetSaizheng Zhang et al.2016 · 115 citations
  78. Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetPaul Pu Liang et al.2019 · 109 citations
  79. A Closer Look at Accuracy vs. Robustness ↗arXiv (Cornell University) · no summary yetYao-Yuan Yang et al.2020 · 107 citations
  80. Multiple Futures Prediction ↗arXiv (Cornell University) · no summary yetYichuan Tang, Ruslan Salakhutdinov2019 · 107 citations
  81. Exploring Controllable Text Generation Techniques ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetShrimai Prabhumoye, Alan W Black, Ruslan Salakhutdinov2020 · 106 citations
  82. Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetYao-Hung Hubert Tsai et al.2020 · 106 citations
  83. Stochastic Variational Deep Kernel Learning ↗arXiv (Cornell University) · no summary yetAndrew Gordon Wilson et al.2016 · 105 citations
  84. A Better Way to Pretrain Deep Boltzmann Machines ↗neural information processing systems · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2012 · 105 citations
  85. Neural Map: Structured Memory for Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetEmilio Parisotto, Ruslan Salakhutdinov2017 · 102 citations
  86. Discovering Binary Codes for Documents by Learning Deep Generative Models ↗Topics in Cognitive Science · no summary yetGeoffrey E. Hinton, Ruslan Salakhutdinov2010 · 101 citations
  87. Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYao-Hung Hubert Tsai et al.2019 · 98 citations
  88. On Unifying Deep Generative Models ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2017 · 98 citations
  89. Learning Stochastic Feedforward Neural Networks ↗no summary yetYichuan Tang, Ruslan Salakhutdinov2013 · 97 citations
  90. Efficient Exploration via State Marginal Matching ↗arXiv (Cornell University) · no summary yetLisa Lee et al.2019 · 96 citations
  91. Modeling documents with a Deep Boltzmann Machine ↗no summary yetNitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton2013 · 96 citations
  92. Learning Generative Models with Visual Attention ↗arXiv (Cornell University) · no summary yetYichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov2013 · 92 citations
  93. Effective Data Augmentation With Diffusion Models ↗arXiv (Cornell University) · no summary yetBrandon Trabucco et al.2023 · 89 citations
  94. Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDevendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov2019 · 89 citations
  95. Knowledge-based Word Sense Disambiguation using Topic Models ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDevendra Singh Chaplot, Ruslan Salakhutdinov2018 · 88 citations
  96. Generating Images from Captions with Attention ↗arXiv (Cornell University) · no summary yetElman Mansimov et al.2015 · 88 citations
  97. Deep Neural Networks with Massive Learned Knowledge ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetZhiting Hu et al.2016 · 86 citations
  98. Global Pose Estimation with an Attention-Based Recurrent Network ↗IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetEmilio Parisotto et al.2018 · 85 citations
  99. Grounding Language Models to Images for Multimodal Inputs and Outputs ↗arXiv (Cornell University) · no summary yetJing Yu Koh, Ruslan Salakhutdinov, Daniel Fried2023 · 82 citations
  100. Adaptive overrelaxed bound optimization methods ↗no summary yetRuslan Salakhutdinov, Sam T. Roweis2003 · 82 citations

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