Online inference of topics with latent Dirichlet allocation K Canini, L Shi, T Griffiths Artificial Intelligence and Statistics, 65-72, 2009 | 324 | 2009 |
Finding credible information sources in social networks based on content and social structure KR Canini, B Suh, PL Pirolli 2011 IEEE Third International Conference on Privacy, Security, Risk and …, 2011 | 210 | 2011 |
Deep lattice networks and partial monotonic functions S You, D Ding, K Canini, J Pfeifer, M Gupta Advances in neural information processing systems 30, 2017 | 171 | 2017 |
Monotonic calibrated interpolated look-up tables M Gupta, A Cotter, J Pfeifer, K Voevodski, K Canini, A Mangylov, ... Journal of Machine Learning Research 17 (109), 1-47, 2016 | 149 | 2016 |
Unifying rational models of categorization via the hierarchical Dirichlet process TL Griffiths, KR Canini, AN Sanborn, DJ Navarro Proceedings of the Annual Meeting of the Cognitive Science Society 29 (29), 2007 | 123 | 2007 |
Fast and flexible monotonic functions with ensembles of lattices M Milani Fard, K Canini, A Cotter, J Pfeifer, M Gupta Advances in neural information processing systems 29, 2016 | 78 | 2016 |
Categorization as nonparametric Bayesian density estimation TL Griffiths, AN Sanborn, KR Canini, DJ Navarro The probabilistic mind: Prospects for Bayesian cognitive science, 303-328, 2008 | 74 | 2008 |
A case for adaptive datacenters to conserve energy and improve reliability P Bodik, MP Armbrust, K Canini, A Fox, M Jordan, DA Patterson University of California at Berkeley, Tech. Rep. UCB/EECS-2008-127, 2008 | 50 | 2008 |
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process. KR Canini, MM Shashkov, TL Griffiths ICML, 151-158, 2010 | 47 | 2010 |
Online collaborative filtering J Abernethy, K Canini, J Langford, A Simma University of California at Berkeley, Tech. Rep, 2007 | 45 | 2007 |
Parallel boosting with momentum I Mukherjee, K Canini, R Frongillo, Y Singer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 44 | 2013 |
Launch and iterate: Reducing prediction churn M Milani Fard, Q Cormier, K Canini, M Gupta Advances in Neural Information Processing Systems 29, 2016 | 41 | 2016 |
Revealing human inductive biases for category learning by simulating cultural transmission KR Canini, TL Griffiths, W Vanpaemel, ML Kalish Psychonomic Bulletin & Review 21, 785-793, 2014 | 32 | 2014 |
Fast linear interpolation N Zhang, K Canini, S Silva, M Gupta ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (2), 1-15, 2021 | 31 | 2021 |
Diminishing returns shape constraints for interpretability and regularization M Gupta, D Bahri, A Cotter, K Canini Advances in neural information processing systems 31, 2018 | 26 | 2018 |
A nonparametric Bayesian model of multi-level category learning K Canini, T Griffiths Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 307-312, 2011 | 25 | 2011 |
Nonparametric Bayesian models of categorization TL Griffiths, AN Sanborn, KR Canini, DJ Navarro, JB Tenenbaum Formal approaches in categorization, 173-198, 2011 | 21 | 2011 |
Segmenting and recognizing human action using low-level video features D Buchsbaum, K Canini, T Griffiths Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011 | 16 | 2011 |
Finding relevant sources in twitter based on content and social structure KR Canini, B Suh, P Pirolli NIPS Workshop, 2010 | 14 | 2010 |
System and method for identifying users relevant to a topic of interest B Suh, KR Canini, PL Pirolli, EH Chi US Patent 8,275,769, 2012 | 12 | 2012 |