Abhimanu Kumar

19 papers A* 4A 4B 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2020 J jnl
Data Transformation Insights in Self-supervision with Clustering Tasks.
CoRR
Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu
2020 J jnl
Self-Supervised Contextual Bandits in Computer Vision.
CoRR
Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan
2017 A* conf
Learning Latent Space Models with Angular Constraints.
ICML
Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing
2016 A conf
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.
UAI
Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
2015 J jnl
Distributed Machine Learning via Sufficient Factor Broadcasting.
CoRR
Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
2015 A* conf
High-Performance Distributed ML at Scale through Parameter Server Consistency Models.
AAAI
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
2015 A* conf
Petuum: A New Platform for Distributed Machine Learning on Big Data.
KDD
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015 J jnl
Petuum: A New Platform for Distributed Machine Learning on Big Data.
IEEE Trans. Big Data
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015 J jnl
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums.
CoRR
Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn P. Rosé, Eric P. Xing, Miaomiao Wen
2014 B conf
Automatic Classification of Communicative Functions of Definiteness.
COLING
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
2014 — conf
Exploiting Bounded Staleness to Speed Up Big Data Analytics.
USENIX ATC
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
2014 A conf
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop.
SDM
Alex Beutel, Partha Pratim Talukdar, Abhimanu Kumar, Christos Faloutsos, Evangelos E. Papalexakis, Eric P. Xing
2014 A conf
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data.
AISTATS
Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing
2014 J jnl
High-Performance Distributed ML at Scale through Parameter Server Consistency Models.
CoRR
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
2013 J jnl
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML.
CoRR
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
2012 J jnl
Dating Texts without Explicit Temporal Cues
CoRR
Abhimanu Kumar, Jason Baldridge, Matthew Lease, Joydeep Ghosh
2011 A* conf
Learning to rank from a noisy crowd.
SIGIR
Abhimanu Kumar, Matthew Lease
2011 A conf
Supervised language modeling for temporal resolution of texts.
CIKM
Abhimanu Kumar, Matthew Lease, Jason Baldridge
2009 J jnl
A real world network pricing game with less severe Braess' Paradox
CoRR
Abhimanu Kumar, Sanjib Kumar Das