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Ruslan Salakhutdinov — all works

354 works · page 3 of 4 · 201–300 · ← Ruslan Salakhutdinov

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  1. Concurrent Meta Reinforcement Learning ↗arXiv (Cornell University) · no summary yetEmilio Parisotto et al.2019 · 13 citations
  2. Geometric Capsule Autoencoders for 3D Point Clouds ↗arXiv (Cornell University) · no summary yetNitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov2019 · 13 citations
  3. Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetPaul Pu Liang et al.2021 · 12 citations
  4. Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers ↗arXiv (Cornell University) · no summary yetBenjamin Eysenbach et al.2020 · 12 citations
  5. Learning Cognitive Models Using Neural Networks ↗Lecture notes in computer science · no summary yetDevendra Singh Chaplot et al.2018 · 12 citations
  6. "Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study ↗arXiv (Cornell University) · no summary yetDenny C.-Y. Wu et al.2018 · 12 citations
  7. Training a Generally Curious Agent ↗arXiv (Cornell University) · no summary yetFahim Tajwar et al.2025 · 11 citations
  8. Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRohan Pandey et al.2023 · 11 citations
  9. Robust Predictable Control ↗arXiv (Cornell University) · no summary yetBenjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine2021 · 11 citations
  10. Semi-Supervised Mixture-of-Experts Classification ↗Proceedings · no summary yetGrigoris J. Karakoulas, Ruslan Salakhutdinov2004 · 11 citations
  11. Conditional Contrastive Learning with Kernel ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2022 · 10 citations
  12. Neural Methods for Point-wise Dependency Estimation ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2020 · 10 citations
  13. How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network? ↗arXiv (Cornell University) · no summary yetSimon S. Du et al.2018 · 10 citations
  14. Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex ↗arXiv (Cornell University) · no summary yetHongyang Zhang, Junru Shao, Ruslan Salakhutdinov2018 · 10 citations
  15. Stylus: Automatic Adapter Selection for Diffusion Models ↗neural information processing systems · no summary yetMichael Luo et al.2024 · 9 citations
  16. Multimodal Fusion Interactions: A Study of Human and Automatic Quantification ↗INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · no summary yetPaul Pu Liang et al.2023 · 9 citations
  17. Instabilities of Offline RL with Pre-Trained Neural Representation ↗arXiv (Cornell University) · no summary yetRuosong Wang et al.2021 · 9 citations
  18. Feature-Robust Optimal Transport for High-Dimensional Data ↗Lecture notes in computer science · no summary yetMathis Petrovich et al.2020 · 9 citations
  19. Matrix reconstruction with the local max norm ↗arXiv (Cornell University) · no summary yetRina Foygel, Nathan Srebro, Ruslan Salakhutdinov2012 · 9 citations
  20. Rethinking Thinking Tokens: LLMs as Improvement Operators ↗arXiv (Cornell University) · no summary yetLovish Madaan et al.2025 · 8 citations
  21. HEMM: Holistic Evaluation of Multimodal Foundation Models ↗neural information processing systems · no summary yetPaul Pu Liang et al.2024 · 8 citations
  22. Manifold Preserving Guided Diffusion ↗arXiv (Cornell University) · no summary yetHe, Yutong et al.2023 · 8 citations
  23. Self-supervised Representation Learning with Relative Predictive Coding ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2021 · 8 citations
  24. The Omniglot challenge: a 3-year progress report ↗arXiv:1902.03477 · no summary yetBrenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum2019 · 8 citations
  25. Learning Neural Networks with Adaptive Regularization ↗arXiv (Cornell University) · no summary yetHan Zhao et al.2019 · 8 citations
  26. On the Complexity of Exploration in Goal-Driven Navigation ↗arXiv (Cornell University) · no summary yetMaruan Al-Shedivat et al.2018 · 8 citations
  27. Structured Control Nets for Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetMario Srouji, Jian Zhang, Ruslan Salakhutdinov2018 · 8 citations
  28. Evaluating probabilities under high-dimensional latent ↗no summary yetIain Murray, Ruslan Salakhutdinov2009 · 8 citations
  29. Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation ↗arXiv (Cornell University) · no summary yetQuanting Xie et al.2024 · 7 citations
  30. Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives ↗arXiv (Cornell University) · no summary yetMurtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov2021 · 7 citations
  31. Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation ↗arXiv (Cornell University) · no summary yetEmilio Parisotto, Ruslan Salakhutdinov2021 · 7 citations
  32. C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks ↗arXiv (Cornell University) · no summary yetTianjun Zhang et al.2021 · 7 citations
  33. Weakly-Supervised Reinforcement Learning for Controllable Behavior ↗arXiv (Cornell University) · no summary yetLisa Lee et al.2020 · 7 citations
  34. Unsupervised Domain Adaptation for Visual Navigation ↗arXiv (Cornell University) · no summary yetShangda Li et al.2020 · 7 citations
  35. On Emergent Communication in Competitive Multi-Agent Teams ↗Adaptive Agents and Multi-Agents Systems · no summary yetPaul Pu Liang et al.2020 · 7 citations
  36. Information Obfuscation of Graph Neural Networks ↗arXiv (Cornell University) · no summary yetPeiyuan Liao et al.2020 · 7 citations
  37. POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration ↗arXiv (Cornell University) · no summary yetYuxiao Qu et al.2026 · 6 citations
  38. Neural MP: A Generalist Neural Motion Planner ↗arXiv (Cornell University) · no summary yetMurtaza Dalal et al.2024 · 6 citations
  39. Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions ↗arXiv (Cornell University) · no summary yetHaitian Sun, William W. Cohen, Ruslan Salakhutdinov2023 · 6 citations
  40. Reasoning over Logically Interacted Conditions for Question Answering ↗arXiv (Cornell University) · no summary yetHaitian Sun, William W. Cohen, Ruslan Salakhutdinov2022 · 6 citations
  41. A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search ↗arXiv (Cornell University) · no summary yetBrandon Trabucco et al.2022 · 6 citations
  42. Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification ↗arXiv (Cornell University) · no summary yetBenjamin Eysenbach, Sergey Levine, Ruslan Salakhutdinov2021 · 6 citations
  43. Understanding the Tradeoffs in Client-side Privacy for Downstream Speech Tasks ↗arXiv (Cornell University) · no summary yetPeter Wu et al.2021 · 6 citations
  44. Gated Path Planning Networks ↗arXiv (Cornell University) · no summary yetLisa Lee et al.2018 · 6 citations
  45. Notes on the KL-divergence between a Markov chain and its equilibrium distribution ↗no summary yetIain Murray, Ruslan Salakhutdinov2008 · 6 citations
  46. Local Policies Enable Zero-Shot Long-Horizon Manipulation ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetMurtaza Dalal et al.2025 · 5 citations
  47. InSTA: Towards Internet-Scale Training For Agents ↗arXiv (Cornell University) · no summary yetBrandon Trabucco et al.2025 · 5 citations
  48. Situated Instruction Following ↗Lecture notes in computer science · no summary yetSo Yeon Min et al.2024 · 5 citations
  49. AgentKit: Structured LLM Reasoning with Dynamic Graphs ↗arXiv (Cornell University) · no summary yetYue Wu et al.2024 · 5 citations
  50. Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation ↗arXiv (Cornell University) · no summary yetHe, Yutong et al.2024 · 5 citations
  51. Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetXiang Fan et al.2023 · 5 citations
  52. Self-Supervised Object Goal Navigation with In-Situ Finetuning ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetSo Yeon Min et al.2023 · 5 citations
  53. Zero-Shot Transfer Learning Within a Heterogeneous Graph Via Knowledge Transfer Networks ↗neural information processing systems · no summary yetMinji Yoon et al.2022 · 5 citations
  54. Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetLiangke Gui et al.2021 · 5 citations
  55. Integrating Auxiliary Information in Self-supervised Learning ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2021 · 5 citations
  56. Guaranteeing Reproducibility in Deep Learning Competitions ↗arXiv (Cornell University) · no summary yetBrandon Houghton et al.2020 · 5 citations
  57. On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps ↗arXiv (Cornell University) · no summary yetWilliam H. Guss, Ruslan Salakhutdinov2019 · 5 citations
  58. LSTM Iteration Networks: An Exploration of Differentiable Path Finding ↗International Conference on Learning Representations · no summary yetLisa Lee et al.2018 · 5 citations
  59. Data-Dependent Path Normalization in Neural Networks ↗arXiv (Cornell University) · no summary yetBehnam Neyshabur et al.2015 · 5 citations
  60. Bayesian Probabilistic Matrix Factorization: A User Frequency Analysis ↗arXiv (Cornell University) · no summary yetCody Severinski, Ruslan Salakhutdinov2014 · 5 citations
  61. Maximum Likelihood Reinforcement Learning ↗arXiv (Cornell University) · no summary yetFahim Tajwar et al.2026 · 4 citations
  62. Automatic Question-Answer Generation for Long-Tail Knowledge ↗arXiv (Cornell University) · no summary yetRohan S. Kumar et al.2024 · 4 citations
  63. Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications ↗arXiv (Cornell University) · no summary yetPaul Pu Liang et al.2023 · 4 citations
  64. Localized Text-to-Image Generation for Free via Cross Attention Control ↗arXiv (Cornell University) · no summary yetHe, Yutong, Ruslan Salakhutdinov, J. Zico Kolter2023 · 4 citations
  65. Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data ↗arXiv (Cornell University) · no summary yetChongyi Zheng et al.2023 · 4 citations
  66. Graph Generative Model for Benchmarking Graph Neural Networks ↗arXiv (Cornell University) · no summary yetMinji Yoon et al.2022 · 4 citations
  67. LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. ↗arXiv (Cornell University) · no summary yetYanbin Liu et al.2019 · 4 citations
  68. Style Transfer Through Multilingual and Feedback-Based Back-Translation ↗arXiv:1809.06284 · no summary yetShrimai Prabhumoye et al.2018 · 4 citations
  69. Expectation-conjugate gradient: An alternative to EM ↗Cambridge University Engineering Department Publications Database · no summary yetRuslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani2002 · 4 citations
  70. Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models ↗arXiv (Cornell University) · no summary yetWentse Chen et al.2026 · 3 citations
  71. Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks ↗arXiv (Cornell University) · no summary yetLawrence Jang et al.2026 · 3 citations
  72. Scaling Test-Time Compute for Agentic Coding ↗arXiv (Cornell University) · no summary yetJoongwon Kim et al.2026 · 3 citations
  73. Neural MP: A Neural Motion Planner ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetMurtaza Dalal et al.2025 · 3 citations
  74. RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems ↗arXiv (Cornell University) · no summary yetQu, Yuxiao et al.2025 · 3 citations
  75. Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference ↗neural information processing systems · no summary yetBenjamin Eysenbach et al.2024 · 3 citations
  76. Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery ↗arXiv (Cornell University) · no summary yetDoherty, Kyle et al.2024 · 3 citations
  77. MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models ↗Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yetPaul Pu Liang et al.2023 · 3 citations
  78. Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective ↗arXiv (Cornell University) · no summary yetRaj Ghugare et al.2022 · 3 citations
  79. On Proximal Policy Optimization's Heavy-tailed Gradients ↗arXiv (Cornell University) · no summary yetGarg, Saurabh et al.2021 · 3 citations
  80. Few-Shot Learning with Intra-Class Knowledge Transfer ↗arXiv (Cornell University) · no summary yetVivek Roy et al.2020 · 3 citations
  81. Investigating the Working of Text Classifiers ↗Proceedings of the 27th International Conference on Computational Linguistics · no summary yetDevendra Sachan, Manzil Zaheer, Ruslan Salakhutdinov2018 · 3 citations
  82. State Combinatorial Generalization In Decision Making With Conditional Diffusion Models ↗arXiv (Cornell University) · no summary yetDuan, Xintong et al.2025 · 2 citations
  83. Multimodal Graph Learning for Generative Tasks ↗arXiv (Cornell University) · no summary yetMinji Yoon et al.2023 · 2 citations
  84. Contrastive Difference Predictive Coding ↗arXiv (Cornell University) · no summary yetChongyi Zheng, Ruslan Salakhutdinov, Benjamin Eysenbach2023 · 2 citations
  85. Learning Weakly-Supervised Contrastive Representations ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2022 · 2 citations
  86. The Information Geometry of Unsupervised Reinforcement Learning ↗arXiv (Cornell University) · no summary yetBenjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine2021 · 2 citations
  87. Online Sub-Sampling for Reinforcement Learning with General Function Approximation ↗arXiv (Cornell University) · no summary yetDingwen Kong et al.2021 · 2 citations
  88. Progressive Knowledge Distillation For Generative Modeling ↗no summary yetYu-Xiong Wang et al.2019 · 2 citations
  89. Learning Deep Generative Models With Discrete Latent Variables ↗no summary yetHengyuan Hu, Ruslan Salakhutdinov2018 · 2 citations
  90. Selecting the Best in GANs Family: a Post Selection Inference Framework ↗arXiv (Cornell University) · no summary yetYao-Hung Hubert Tsai et al.2018 · 2 citations
  91. Learning to Learn with Compound HD Models ↗no summary yetRuslan Salakhutdinov, Joshua B. Tenenbaum, Antonio B. Torralba2012 · 2 citations
  92. Simultaneous Localization and Surveying with Multiple Agents ↗Lecture notes in computer science · no summary yetSam T. Roweis, Ruslan Salakhutdinov2005 · 2 citations
  93. iOSWorld: A Benchmark for Personally Intelligent Phone Agents ↗arXiv (Cornell University) · no summary yetLawrence Jang et al.2026 · 1 citation

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