Petuum: A new platform for distributed machine learning on big data EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ... IEEE Transactions on Big Data 1 (2), 49-67, 2015 | 632 | 2015 |
Exploiting bounded staleness to speed up big data analytics H Cui, J Cipar, Q Ho, JK Kim, S Lee, A Kumar, J Wei, W Dai, GR Ganger, ... 2014 USENIX Annual Technical Conference (USENIX ATC 14), 37-48, 2014 | 210 | 2014 |
High-performance distributed ml at scale through parameter server consistency models W Dai, A Kumar, J Wei, Q Ho, G Gibson, EP Xing arXiv preprint arXiv:1410.8043, 2014 | 165 | 2014 |
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. A Beutel, A Kumar, PP Talukdar, C Faloutsos, EE Papalexakis, EP Xing SDM, 109-117, 2014 | 138 | 2014 |
Towards an integration of text and graph clustering methods as a lens for studying social interaction in MOOCs D Yang, M Wen, A Kumar, EP Xing, CP Rose The International Review of Research in Open and Distributed Learning 15 (5), 2014 | 72 | 2014 |
Supervised language modeling for temporal resolution of texts A Kumar, M Lease, J Baldridge Proceedings of the 20th ACM international conference on Information and …, 2011 | 60 | 2011 |
Modeling annotator accuracies for supervised learning A Kumar, M Lease Proceedings of the Workshop on Crowdsourcing for Search and Data Mining …, 2011 | 53 | 2011 |
Distributed Machine Learning via Sufficient Factor Broadcasting P Xie, JK Kim, Y Zhou, Q Ho, A Kumar, Y Yu, E Xing arXiv preprint arXiv:1511.08486, 2015 | 30 | 2015 |
Learning Latent Space Models with Angular Constraints P Xie, Y Deng, Y Zhou, A Kumar, Y Yu, J Zou, EP Xing International Conference on Machine Learning, 3799-3810, 2017 | 26 | 2017 |
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting P Xie, JK Kim, Y Zhou, Q Ho, A Kumar, Y Yu, E Xing Proceedings of the 32nd International Conference on Conference on …, 2016 | 26 | 2016 |
Learning to rank from a noisy crowd A Kumar, M Lease Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 25 | 2011 |
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. A Kumar, A Beutel, Q Ho, EP Xing AISTATS, 531-539, 2014 | 24 | 2014 |
Dating texts without explicit temporal cues A Kumar, J Baldridge, M Lease, J Ghosh arXiv preprint arXiv:1211.2290, 2012 | 17 | 2012 |
Consistent bounded-asynchronous parameter servers for distributed ML J Wei, W Dai, A Kumar, X Zheng, Q Ho, EP Xing arXiv preprint arXiv:1312.7869, 2013 | 12 | 2013 |
Automatic classification of communicative functions of definiteness A Bhatia, CC Lin, N Schneider, Y Tsvetkov, FT Al-Raisi, L Roostapour, ... Association for Computational Linguistics, 2014 | 7 | 2014 |
Self-Supervised Contextual Bandits in Computer Vision AA Deshmukh, A Kumar, L Boyles, D Charles, E Manavoglu, U Dogan arXiv preprint arXiv:2003.08485, 2020 | 3 | 2020 |
Data Transformation Insights in Self-supervision with Clustering Tasks A Kumar, AA Deshmukh, U Dogan, D Charles, E Manavoglu arXiv preprint arXiv:2002.07384, 2020 | 1 | 2020 |
Simple Unsupervised Topic Discovery for Attribute Extraction in SEM Tasks using WordNet A Kumar, R Chatwin, J Ghosh Semantic Relations-II. Enhancing Resources and Applications Workshop …, 2012 | 1 | 2012 |
Self-Supervised Contextual Bandits in Computer Vision A Anand Deshmukh, A Kumar, L Boyles, D Charles, E Manavoglu, ... arXiv, arXiv: 2003.08485, 2020 | | 2020 |
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums A Kumar, S Palakodety, C Wang, CP Rose, EP Xing, M Wen arXiv preprint arXiv:1512.03443, 2015 | | 2015 |