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Abhimanu Kumar
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2020 – today
- 2020
- [i8]Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu:
Data Transformation Insights in Self-supervision with Clustering Tasks. CoRR abs/2002.07384 (2020) - [i7]Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan:
Self-Supervised Contextual Bandits in Computer Vision. CoRR abs/2003.08485 (2020)
2010 – 2019
- 2017
- [c10]Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing:
Learning Latent Space Models with Angular Constraints. ICML 2017: 3799-3810 - 2016
- [c9]Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing:
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. UAI 2016 - 2015
- [j1]Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu:
Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data 1(2): 49-67 (2015) - [c8]Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing:
High-Performance Distributed ML at Scale through Parameter Server Consistency Models. AAAI 2015: 79-87 - [c7]Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu:
Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD 2015: 1335-1344 - [i6]Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing:
Distributed Machine Learning via Sufficient Factor Broadcasting. CoRR abs/1511.08486 (2015) - [i5]Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn P. Rosé, Eric P. Xing, Miaomiao Wen:
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums. CoRR abs/1512.03443 (2015) - 2014
- [c6]Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing:
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. AISTATS 2014: 531-539 - [c5]Archna Bhatia, Chu-Cheng Lin, Nathan Schneider, Yulia Tsvetkov, Fatima Talib Al-Raisi, Laleh Roostapour, Jordan Bender, Abhimanu Kumar, Lori S. Levin, Mandy Simons, Chris Dyer:
Automatic Classification of Communicative Functions of Definiteness. COLING 2014: 1059-1070 - [c4]Alex Beutel, Partha Pratim Talukdar, Abhimanu Kumar, Christos Faloutsos, Evangelos E. Papalexakis, Eric P. Xing:
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. SDM 2014: 109-117 - [c3]Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing:
Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX ATC 2014: 37-48 - [i4]Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing:
High-Performance Distributed ML at Scale through Parameter Server Consistency Models. CoRR abs/1410.8043 (2014) - 2013
- [i3]Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing:
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. CoRR abs/1312.7869 (2013) - 2012
- [i2]Abhimanu Kumar, Jason Baldridge, Matthew Lease, Joydeep Ghosh:
Dating Texts without Explicit Temporal Cues. CoRR abs/1211.2290 (2012) - 2011
- [c2]Abhimanu Kumar, Matthew Lease, Jason Baldridge:
Supervised language modeling for temporal resolution of texts. CIKM 2011: 2069-2072 - [c1]Abhimanu Kumar, Matthew Lease:
Learning to rank from a noisy crowd. SIGIR 2011: 1221-1222
2000 – 2009
- 2009
- [i1]Abhimanu Kumar, Sanjib Kumar Das:
A real world network pricing game with less severe Braess' Paradox. CoRR abs/0910.2113 (2009)
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