| Marginalized denoising autoencoders for domain adaptation M Chen, Z Xu, K Weinberger, F Sha arXiv preprint arXiv:1206.4683, 2012 | 725 | 2012 |
| Co-training for domain adaptation M Chen, KQ Weinberger, J Blitzer Advances in neural information processing systems, 2456-2464, 2011 | 356 | 2011 |
| Fast image tagging M Chen, A Zheng, K Weinberger International conference on machine learning, 1274-1282, 2013 | 221 | 2013 |
| Learning with marginalized corrupted features L Maaten, M Chen, S Tyree, K Weinberger International Conference on Machine Learning, 410-418, 2013 | 165 | 2013 |
| Marginalized denoising auto-encoders for nonlinear representations M Chen, K Weinberger, F Sha, Y Bengio International Conference on Machine Learning, 1476-1484, 2014 | 134 | 2014 |
| Cost-sensitive tree of classifiers Z Xu, M Kusner, K Weinberger, M Chen International conference on machine learning, 133-141, 2013 | 120 | 2013 |
| Top-k off-policy correction for a REINFORCE recommender system M Chen, A Beutel, P Covington, S Jain, F Belletti, EH Chi Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 92 | 2019 |
| Automatic feature decomposition for single view co-training M Chen, KQ Weinberger, Y Chen ICML, 2011 | 91 | 2011 |
| Efficient vector representation for documents through corruption M Chen arXiv preprint arXiv:1707.02377, 2017 | 86 | 2017 |
| Classifier cascade for minimizing feature evaluation cost M Chen, Z Xu, K Weinberger, O Chapelle, D Kedem Artificial Intelligence and Statistics, 218-226, 2012 | 86* | 2012 |
| Classifier cascades and trees for minimizing feature evaluation cost Z Xu, MJ Kusner, KQ Weinberger, M Chen, O Chapelle The Journal of Machine Learning Research 15 (1), 2113-2144, 2014 | 73 | 2014 |
| Dynamical isometry and a mean field theory of RNNs: Gating enables signal propagation in recurrent neural networks M Chen, J Pennington, SS Schoenholz arXiv preprint arXiv:1806.05394, 2018 | 66 | 2018 |
| AntisymmetricRNN: A dynamical system view on recurrent neural networks B Chang, M Chen, E Haber, EH Chi arXiv preprint arXiv:1902.09689, 2019 | 55 | 2019 |
| Toward a two-tier clinical warning system for hospitalized patients G Hackmann, M Chen, O Chipara, C Lu, Y Chen, M Kollef, TC Bailey AMIA Annual Symposium Proceedings 2011, 511, 2011 | 36 | 2011 |
| An alternative text representation to tf-idf and bag-of-words M Chen, KQ Weinberger, F Sha arXiv preprint arXiv:1301.6770, 2013 | 35* | 2013 |
| Towards neural mixture recommender for long range dependent user sequences J Tang, F Belletti, S Jain, M Chen, A Beutel, C Xu, E H. Chi The World Wide Web Conference, 1782-1793, 2019 | 31 | 2019 |
| Marginalized denoising for link prediction and multi-label learning Z Chen, M Chen, K Weinberger, W Zhang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 28 | 2015 |
| Extended duality for nonlinear programming Y Chen, M Chen Computational optimization and applications 47 (1), 33-59, 2010 | 17 | 2010 |
| Dynamical isometry and a mean field theory of LSTMs and GRUs D Gilboa, B Chang, M Chen, G Yang, SS Schoenholz, EH Chi, ... arXiv preprint arXiv:1901.08987, 2019 | 15 | 2019 |
| Minimalrnn: Toward more interpretable and trainable recurrent neural networks M Chen arXiv preprint arXiv:1711.06788, 2017 | 14 | 2017 |
Zhixiang (Eddie) XuWashington UniversityEmail verificata su cse.wustl.edu
