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Ruslan Salakhutdinov — all works

354 works · page 2 of 4 · 101–200 · ← Ruslan Salakhutdinov

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  1. Geometry of Optimization and Implicit Regularization in Deep Learning ↗arXiv (Cornell University) · no summary yetBehnam Neyshabur et al.2017 · 80 citations
  2. Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetYuxin Xiao et al.2022 · 79 citations
  3. Learning Data Manipulation for Augmentation and Weighting ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2019 · 79 citations
  4. Learning in Markov Random Fields using Tempered Transitions ↗no summary yetRuslan Salakhutdinov2009 · 78 citations
  5. Differentiable Reasoning over a Virtual Knowledge Base ↗arXiv (Cornell University) · no summary yetBhuwan Dhingra et al.2020 · 76 citations
  6. Enhanced Convolutional Neural Tangent Kernels ↗arXiv (Cornell University) · no summary yetZhiyuan Li et al.2019 · 76 citations
  7. Learning Deep Boltzmann Machines using Adaptive MCMC ↗no summary yetRuslan Salakhutdinov2010 · 76 citations
  8. On Multiplicative Integration with Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetYuhuai Wu et al.2016 · 69 citations
  9. Encode, Review, and Decode: Reviewer Module for Caption Generation. ↗arXiv (Cornell University) · no summary yetZhilin Yang et al.2016 · 69 citations
  10. Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm ↗neural information processing systems · no summary yetNathan Srebro, Ruslan Salakhutdinov2010 · 69 citations
  11. Deep Lambertian Networks ↗arXiv (Cornell University) · no summary yetYichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton2012 · 66 citations
  12. Words or Characters? Fine-grained Gating for Reading Comprehension ↗arXiv (Cornell University) · no summary yetZhilin Yang et al.2016 · 65 citations
  13. Topological Sort for Sentence Ordering ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetShrimai Prabhumoye, Ruslan Salakhutdinov, Alan W Black2020 · 64 citations
  14. Modeling Documents with Deep Boltzmann Machines ↗arXiv (Cornell University) · no summary yetNitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton2013 · 63 citations
  15. Tree Search for Language Model Agents ↗arXiv:2407.01476 · no summary yetJing Yu Koh et al.2024 · 61 citations
  16. OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web ↗Lecture notes in computer science · no summary yetRaghav Kapoor et al.2024 · 60 citations
  17. Resource configurable spoken query detection using Deep Boltzmann Machines ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetYaodong Zhang et al.2012 · 60 citations
  18. Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension ↗arXiv (Cornell University) · no summary yetRuosong Wang, Ruslan Salakhutdinov, Lin Forrest Yang2020 · 56 citations
  19. Active Neural Localization ↗arXiv (Cornell University) · no summary yetDevendra Singh Chaplot, Emilio Parisotto, Ruslan Salakhutdinov2018 · 56 citations
  20. On Characterizing the Capacity of Neural Networks using Algebraic Topology ↗arXiv (Cornell University) · no summary yetWilliam H. Guss, Ruslan Salakhutdinov2018 · 56 citations
  21. Focused Attention Improves Document-Grounded Generation ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetShrimai Prabhumoye et al.2021 · 55 citations
  22. Search on the Replay Buffer: Bridging Planning and Reinforcement Learning ↗arXiv (Cornell University) · no summary yetBenjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine2019 · 55 citations
  23. The Power of Asymmetry in Binary Hashing ↗arXiv (Cornell University) · no summary yetBehnam Neyshabur et al.2013 · 55 citations
  24. On the Convergence of Bound Optimization Algorithms ↗arXiv (Cornell University) · no summary yetRuslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani2012 · 53 citations
  25. Learning and Evaluating Boltzmann Machines ↗no summary yetRuslan Salakhutdinov2008 · 53 citations
  26. A Generic Approach for Escaping Saddle points ↗arXiv (Cornell University) · no summary yetSashank Jakkam Reddi et al.2017 · 52 citations
  27. Learning with the Weighted Trace-norm under Arbitrary Sampling Distributions ↗arXiv (Cornell University) · no summary yetRina Foygel et al.2011 · 52 citations
  28. The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors ↗arXiv (Cornell University) · no summary yetWilliam H. Guss et al.2019 · 51 citations
  29. Transformer-XL: Language Modeling with Longer-Term Dependency ↗no summary yetZihang Dai et al.2018 · 51 citations
  30. StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetYiwei Lyu et al.2021 · 50 citations
  31. Deep Generative Models with Learnable Knowledge Constraints ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2018 · 48 citations
  32. Improving One-Shot Learning through Fusing Side Information ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai, Ruslan Salakhutdinov2017 · 48 citations
  33. Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning ↗arXiv (Cornell University) · no summary yetYue Wu et al.2021 · 47 citations
  34. FILM: Following Instructions in Language with Modular Methods ↗arXiv (Cornell University) · no summary yetMin, So Yeon et al.2021 · 46 citations
  35. A Multiplicative Model for Learning Distributed Text-Based Attribute Representations ↗arXiv (Cornell University) · no summary yetRyan Kiros, Richard S. Zemel, Ruslan Salakhutdinov2014 · 44 citations
  36. Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing ↗arXiv (Cornell University) · no summary yetYuri Burda, Roger Grosse, Ruslan Salakhutdinov2014 · 43 citations
  37. DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations ↗Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yetYiwei Lyu et al.2022 · 42 citations
  38. MultiBench: Multiscale Benchmarks for Multimodal Representation Learning ↗PubMed · no summary yetPaul Pu Liang et al.2021 · 42 citations
  39. Complex Transformer: A Framework for Modeling Complex-Valued Sequence ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetMuqiao Yang et al.2020 · 42 citations
  40. Deep Kernel Learning ↗arXiv (Cornell University) · no summary yetAndrew Gordon Wilson et al.2015 · 42 citations
  41. Deep Gamblers: Learning to Abstain with Portfolio Theory ↗arXiv (Cornell University) · no summary yetLiu Ziyin et al.2019 · 41 citations
  42. On the Quantitative Analysis of Decoder-Based Generative Models ↗arXiv (Cornell University) · no summary yetYuhuai Wu et al.2016 · 41 citations
  43. “My Way of Telling a Story”: Persona based Grounded Story Generation ↗Proceedings of the Second Workshop on Storytelling · no summary yetKhyathi Chandu et al.2019 · 40 citations
  44. Linguistic Knowledge as Memory for Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetBhuwan Dhingra et al.2017 · 40 citations
  45. Case Study: Deontological Ethics in NLP ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetShrimai Prabhumoye et al.2021 · 39 citations
  46. Worst Cases Policy Gradients ↗arXiv (Cornell University) · no summary yetYichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov2019 · 39 citations
  47. Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement ↗arXiv (Cornell University) · no summary yetBenjamin Eysenbach et al.2020 · 38 citations
  48. Strong and Simple Baselines for Multimodal Utterance Embeddings ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetPaul Pu Liang et al.2019 · 36 citations
  49. On Reward-Free Reinforcement Learning with Linear Function Approximation ↗arXiv (Cornell University) · no summary yetRuosong Wang et al.2020 · 35 citations
  50. The BrowserGym Ecosystem for Web Agent Research ↗arXiv (Cornell University) · no summary yetThibault Le Sellier De Chezelles et al.2024 · 34 citations
  51. ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHaitian Sun, William Cohen, Ruslan Salakhutdinov2022 · 34 citations
  52. FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYanan Zheng et al.2022 · 34 citations
  53. GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations ↗arXiv (Cornell University) · no summary yetZhilin Yang et al.2018 · 34 citations
  54. A Comparative Study of Word Embeddings for Reading Comprehension ↗arXiv (Cornell University) · no summary yetBhuwan Dhingra et al.2017 · 33 citations
  55. Exploiting compositionality to explore a large space of model structures ↗arXiv (Cornell University) · no summary yetRoger Grosse et al.2012 · 33 citations
  56. Deep Mixtures of Factor Analysers ↗arXiv (Cornell University) · no summary yetYichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton2012 · 33 citations
  57. Factorized Contrastive Learning: Going Beyond Multi-view Redundancy ↗neural information processing systems · no summary yetPaul Pu Liang et al.2023 · 32 citations
  58. Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning ↗arXiv (Cornell University) · no summary yetQu, Yuxiao et al.2025 · 30 citations
  59. Initialization Strategies of Spatio-Temporal Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetElman Mansimov, Nitish Srivastava, Ruslan Salakhutdinov2015 · 30 citations
  60. Learning nonlinear dynamic models ↗International Conference on Machine Learning · no summary yetJohn C. Langford, Ruslan Salakhutdinov, Tong Zhang2009 · 30 citations
  61. Learning Wake-Sleep Recurrent Attention Models ↗arXiv (Cornell University) · no summary yetJimmy Lei Ba et al.2015 · 29 citations
  62. Question Answering from Unstructured Text by Retrieval and Comprehension ↗arXiv (Cornell University) · no summary yetYusuke Watanabe, Bhuwan Dhingra, Ruslan Salakhutdinov2017 · 28 citations
  63. Reasoning Over Virtual Knowledge Bases With Open Predicate Relations ↗arXiv (Cornell University) · no summary yetHaitian Sun et al.2021 · 27 citations
  64. Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment ↗ACM International Conference on Multimedia (ACM MM) · no summary yetPaul Pu Liang et al.2021 · 25 citations
  65. C-Learning: Learning to Achieve Goals via Recursive Classification ↗arXiv (Cornell University) · no summary yetBenjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine2020 · 24 citations
  66. Embodied Multimodal Multitask Learning ↗International Joint Conference on Artificial Intelligence · no summary yetDevendra Singh Chaplot et al.2020 · 23 citations
  67. AutoLoss: Learning Discrete Schedules for Alternate Optimization ↗arXiv (Cornell University) · no summary yetHaowen Xu et al.2018 · 23 citations
  68. The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors ↗arXiv (Cornell University) · no summary yetWilliam H. Guss et al.2021 · 22 citations
  69. External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems ↗IEEE Data(base) Engineering Bulletin · no summary yetAndrew Pavlo et al.2019 · 22 citations
  70. Point Cloud GAN ↗arXiv (Cornell University) · no summary yetChunliang Li et al.2018 · 22 citations
  71. Imitating Task and Motion Planning with Visuomotor Transformers ↗arXiv (Cornell University) · no summary yetMurtaza Dalal et al.2023 · 21 citations
  72. MultiViz: Towards Visualizing and Understanding Multimodal Models ↗arXiv (Cornell University) · no summary yetPaul Pu Liang et al.2022 · 21 citations
  73. GLoMo: Unsupervised Learning of Transferable Relational Graphs ↗neural information processing systems · no summary yetZhilin Yang et al.2018 · 21 citations
  74. Dissecting Adversarial Robustness of Multimodal LM Agents ↗arXiv (Cornell University) · no summary yetChen Henry Wu et al.2024 · 20 citations
  75. Plan, Eliminate, and Track — Language Models are Good Teachers for Embodied Agents ↗arXiv (Cornell University) · no summary yetYue Wu et al.2023 · 20 citations
  76. Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs ↗arXiv (Cornell University) · no summary yetTianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov2021 · 20 citations
  77. End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents ↗arXiv (Cornell University) · no summary yetHaitian Sun, William W. Cohen, Ruslan Salakhutdinov2021 · 20 citations
  78. Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks ↗arXiv (Cornell University) · no summary yetSanjeev Arora et al.2019 · 20 citations
  79. Deep Determinantal Point Process for Large-Scale Multi-label Classification ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetPengtao Xie et al.2017 · 20 citations
  80. Confronting Reward Model Overoptimization with Constrained RLHF ↗arXiv (Cornell University) · no summary yetTed Moskovitz et al.2023 · 19 citations
  81. SPRING: Studying the Paper and Reasoning to Play Games ↗arXiv (Cornell University) · no summary yetYue Wu et al.2023 · 19 citations
  82. Connecting the Dots Between MLE and RL for Sequence Generation ↗arXiv (Cornell University) · no summary yetBowen Tan et al.2019 · 19 citations
  83. Transformation Autoregressive Networks ↗arXiv (Cornell University) · no summary yetJunier B. Oliva et al.2018 · 19 citations
  84. Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training. ↗arXiv (Cornell University) · no summary yetAdams Wei Yu et al.2017 · 19 citations
  85. Demystifying Self-Supervised Learning: An Information-Theoretical Framework. ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2020 · 18 citations
  86. Learning Not to Learn in the Presence of Noisy Labels ↗arXiv (Cornell University) · no summary yetLiu Ziyin et al.2020 · 18 citations
  87. AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents ↗neural information processing systems · no summary yetArman Serikuly Zharmagambetov et al.2025 · 17 citations
  88. PACS: A Dataset for Physical Audiovisual CommonSense Reasoning ↗Lecture notes in computer science · no summary yetSamuel Yu et al.2022 · 17 citations
  89. Capsules with Inverted Dot-Product Attention Routing ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2020 · 17 citations
  90. Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex ↗International Conference on Artificial Intelligence and Statistics · no summary yetChange Institutions to: University of Waterloo, Junru Shao, Ruslan Salakhutdinov2019 · 17 citations
  91. Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures ↗arXiv (Cornell University) · no summary yetHongyang Zhang et al.2018 · 17 citations
  92. Can Large Reasoning Models Self-Train? ↗arXiv:2505.21444 · no summary yetSheikh Shafayat et al.2025 · 16 citations
  93. Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations ↗arXiv (Cornell University) · no summary yetBehnam Neyshabur et al.2016 · 16 citations
  94. Multimodal Speech Summarization Through Semantic Concept Learning ↗Interspeech (USB) · no summary yetShruti Palaskar et al.2021 · 15 citations
  95. Adversarial Robustness Through Local Lipschitzness ↗no summary yetYao-Yuan Yang et al.2020 · 15 citations
  96. Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetSo Yeon Min et al.2022 · 14 citations
  97. SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency ↗arXiv (Cornell University) · no summary yetDevendra Singh Chaplot et al.2021 · 14 citations
  98. Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning ↗arXiv (Cornell University) · no summary yetMartin Q. Ma et al.2021 · 14 citations
  99. A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2021 · 14 citations
  100. Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks ↗arXiv (Cornell University) · no summary yetMurtaza Dalal et al.2024 · 13 citations

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