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Abhimanu Kumar
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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
6452015
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
2102014
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
1662014
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
1382014
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
732014
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
602011
Modeling annotator accuracies for supervised learning
A Kumar, M Lease
Proceedings of the Workshop on Crowdsourcing for Search and Data Mining …, 2011
532011
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
312015
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
262017
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
262016
Learning to rank from a noisy crowd
A Kumar, M Lease
Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011
252011
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data.
A Kumar, A Beutel, Q Ho, EP Xing
AISTATS, 531-539, 2014
242014
Dating texts without explicit temporal cues
A Kumar, J Baldridge, M Lease, J Ghosh
arXiv preprint arXiv:1211.2290, 2012
182012
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
122013
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
72014
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
32020
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
12020
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
12012
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
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