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 | 1410 | 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 | 655 | 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 | 351 | 2022 |
Relational dynamic influence diagram language (rddl): Language description S Sanner Unpublished ms. Australian National University 32, 27, 2010 | 309 | 2010 |
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 | 212 | 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 | 193 | 2019 |
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 | 191 | 2002 |
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 | 184 | 2021 |
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 | 168 | 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 | 165 | 2014 |
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 | 159 | 2021 |
Algorithms for direct 0–1 loss optimization in binary classification T Nguyen, S Sanner International conference on machine learning, 1085-1093, 2013 | 144 | 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 | 141 | 2012 |
Practical solution techniques for first-order MDPs S Sanner, C Boutilier Artificial Intelligence 173 (5-6), 748-788, 2009 | 130 | 2009 |
Affine algebraic decision diagrams (AADDs) and their application to structured probabilistic inference S Sanner, D McAllester IJCAI 2005, 1384-1390, 2005 | 120 | 2005 |
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 | 116 | 2019 |
Gaussian process preference elicitation E Bonilla, S Sanner Neural Information Processing Systems (NIPS), 2010 | 113* | 2010 |
Symbolic dynamic programming for first-order POMDPs S Sanner, K Kersting Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1140-1146, 2010 | 107 | 2010 |
Efficient solutions to factored MDPs with imprecise transition probabilities KV Delgado, S Sanner, LN De Barros Artificial Intelligence 175 (9-10), 1498-1527, 2011 | 104 | 2011 |
Real-time multiattribute bayesian preference elicitation with pairwise comparison queries S Guo, S Sanner AI and Statistics (AISTATS), 2010 | 101 | 2010 |