| Autorec: Autoencoders meet collaborative filtering S Sedhain, AK Menon, S Sanner, L Xie Proceedings of the 24th international conference on World Wide Web, 111-112, 2015 | 1521 | 2015 |
| Improving lda topic models for microblogs via tweet pooling and automatic labeling R Mehrotra, S Sanner, W Buntine, L Xie Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 684 | 2013 |
| Online continual learning in image classification: An empirical survey Z Mai, R Li, J Jeong, D Quispe, H Kim, S Sanner Neurocomputing 469, 28-51, 2022 | 471 | 2022 |
| Relational dynamic influence diagram language (rddl): Language description S Sanner Unpublished ms. Australian National University 32, 27, 2010 | 322 | 2010 |
| Online class-incremental continual learning with adversarial shapley value D Shim, Z Mai, J Jeong, S Sanner, H Kim, J Jang Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9630-9638, 2021 | 234 | 2021 |
| Expecting to be hip: Hawkes intensity processes for social media popularity MA Rizoiu, L Xie, S Sanner, M Cebrian, H Yu, P Van Hentenryck Proceedings of the 26th international conference on world wide web, 735-744, 2017 | 224 | 2017 |
| Deep learning with microfluidics for biotechnology J Riordon, D Sovilj, S Sanner, D Sinton, EWK Young Trends in biotechnology 37 (3), 310-324, 2019 | 217 | 2019 |
| Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning Z Mai, R Li, H Kim, S Sanner Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 206 | 2021 |
| Towards object mapping in non-stationary environments with mobile robots R Biswas, B Limketkai, S Sanner, S Thrun IEEE/RSJ international conference on intelligent robots and systems 1, 1014-1019, 2002 | 195 | 2002 |
| The 2014 international planning competition: Progress and trends M Vallati, L Chrpa, M Grześ, TL McCluskey, M Roberts, S Sanner Ai Magazine 36 (3), 90-98, 2015 | 183 | 2015 |
| Social collaborative filtering for cold-start recommendations S Sedhain, S Sanner, D Braziunas, L Xie, J Christensen Proceedings of the 8th ACM Conference on Recommender systems, 345-348, 2014 | 173 | 2014 |
| Algorithms for direct 0–1 loss optimization in binary classification T Nguyen, S Sanner International conference on machine learning, 1085-1093, 2013 | 154 | 2013 |
| A survey of the seventh international planning competition A Coles, A Coles, AG Olaya, S Jiménez, CL López, S Sanner, S Yoon Ai Magazine 33 (1), 83-88, 2012 | 144 | 2012 |
| Practical solution techniques for first-order MDPs S Sanner, C Boutilier Artificial Intelligence 173 (5-6), 748-788, 2009 | 134 | 2009 |
| Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data B Huchuk, S Sanner, W O'Brien Building and Environment 160, 106177, 2019 | 125 | 2019 |
| Affine algebraic decision diagrams (AADDs) and their application to structured probabilistic inference S Sanner, D McAllester IJCAI 2005, 1384-1390, 2005 | 121 | 2005 |
| Gaussian process preference elicitation E Bonilla, S Sanner Neural Information Processing Systems (NIPS), 2010 | 117* | 2010 |
| Large language models are competitive near cold-start recommenders for language-and item-based preferences S Sanner, K Balog, F Radlinski, B Wedin, L Dixon Proceedings of the 17th ACM conference on recommender systems, 890-896, 2023 | 112 | 2023 |
| A longitudinal study of thermostat behaviors based on climate, seasonal, and energy price considerations using connected thermostat data B Huchuk, W O'Brien, S Sanner Building and Environment 139, 199-210, 2018 | 111 | 2018 |
| Symbolic dynamic programming for first-order POMDPs S Sanner, K Kersting Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1140-1146, 2010 | 111 | 2010 |
Lexing XieProfessor at Australian National University在 anu.edu.au 的电子邮件经过验证