| Data cleaning: Overview and emerging challenges X Chu, IF Ilyas, S Krishnan, J Wang Proceedings of the 2016 international conference on management of data, 2201 …, 2016 | 750 | 2016 |
| Communication-efficient distributed dual coordinate ascent M Jaggi, V Smith, M Takác, J Terhorst, S Krishnan, T Hofmann, MI Jordan Advances in neural information processing systems 27, 2014 | 428 | 2014 |
| Activeclean: Interactive data cleaning for statistical modeling S Krishnan, J Wang, E Wu, MJ Franklin, K Goldberg Proceedings of the VLDB Endowment 9 (12), 948-959, 2016 | 370* | 2016 |
| Learning to optimize join queries with deep reinforcement learning S Krishnan, Z Yang, K Goldberg, J Hellerstein, I Stoica arXiv preprint arXiv:1808.03196, 2018 | 292 | 2018 |
| Deep unsupervised cardinality estimation Z Yang, E Liang, A Kamsetty, C Wu, Y Duan, X Chen, P Abbeel, ... arXiv preprint arXiv:1905.04278, 2019 | 269 | 2019 |
| Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning S Krishnan, A Garg, S Patil, C Lea, G Hager, P Abbeel, K Goldberg The International journal of robotics research 36 (13-14), 1595-1618, 2017 | 192 | 2017 |
| Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning B Thananjeyan, A Garg, S Krishnan, C Chen, L Miller, K Goldberg 2017 IEEE international conference on robotics and automation (ICRA), 2371-2378, 2017 | 175 | 2017 |
| A sample-and-clean framework for fast and accurate query processing on dirty data J Wang, S Krishnan, MJ Franklin, K Goldberg, T Kraska, T Milo Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 168 | 2014 |
| Multi-level discovery of deep options R Fox, S Krishnan, I Stoica, K Goldberg arXiv preprint arXiv:1703.08294, 2017 | 154 | 2017 |
| Fine-grained partitioning for aggressive data skipping L Sun, MJ Franklin, S Krishnan, RS Xin Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 146 | 2014 |
| Boostclean: Automated error detection and repair for machine learning S Krishnan, MJ Franklin, K Goldberg, E Wu arXiv preprint arXiv:1711.01299, 2017 | 127 | 2017 |
| A methodology for learning, analyzing, and mitigating social influence bias in recommender systems S Krishnan, J Patel, MJ Franklin, K Goldberg Proceedings of the 8th ACM Conference on Recommender systems, 137-144, 2014 | 125* | 2014 |
| Palm: Machine learning explanations for iterative debugging S Krishnan, E Wu Proceedings of the 2Nd workshop on human-in-the-loop data analytics, 1-6, 2017 | 119 | 2017 |
| Towards reliable interactive data cleaning: A user survey and recommendations S Krishnan, D Haas, MJ Franklin, E Wu Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-5, 2016 | 113 | 2016 |
| Ddco: Discovery of deep continuous options for robot learning from demonstrations S Krishnan, R Fox, I Stoica, K Goldberg Conference on robot learning, 418-437, 2017 | 111 | 2017 |
| Tsc-dl: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with deep learning A Murali, A Garg, S Krishnan, FT Pokorny, P Abbeel, T Darrell, K Goldberg 2016 IEEE international conference on robotics and automation (ICRA), 4150-4157, 2016 | 96 | 2016 |
| Activeclean: An interactive data cleaning framework for modern machine learning S Krishnan, MJ Franklin, K Goldberg, J Wang, E Wu Proceedings of the 2016 international conference on management of data, 2117 …, 2016 | 94 | 2016 |
| Learning accurate kinematic control of cable-driven surgical robots using data cleaning and gaussian process regression J Mahler, S Krishnan, M Laskey, S Sen, A Murali, B Kehoe, S Patil, ... 2014 IEEE international conference on automation science and engineering …, 2014 | 94 | 2014 |
| Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations M Laskey, C Chuck, J Lee, J Mahler, S Krishnan, K Jamieson, A Dragan, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 358-365, 2017 | 87 | 2017 |
| How large language models will disrupt data management RC Fernandez, AJ Elmore, MJ Franklin, S Krishnan, C Tan Proceedings of the VLDB Endowment 16 (11), 3302-3309, 2023 | 80 | 2023 |
Ken GoldbergProfessor, UC Berkeley and UCSFPreverjeni e-poštni naslov na berkeley.edu