Abhimanu Kumar

According to our database, Abhimanu Kumar authored at least 17 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Self-Supervised Contextual Bandits in Computer Vision.

Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan

CoRR, 2020

Data Transformation Insights in Self-supervision with Clustering Tasks.

Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu

CoRR, 2020

2017

Learning Latent Space Models with Angular Constraints.

Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.

Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015

Petuum: A New Platform for Distributed Machine Learning on Big Data.

Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu

IEEE Trans. Big Data, 2015

Distributed Machine Learning via Sufficient Factor Broadcasting.

Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing

CoRR, 2015

Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums.

Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn P. Rosé, Eric P. Xing, Miaomiao Wen

CoRR, 2015

High-Performance Distributed ML at Scale through Parameter Server Consistency Models.

Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Exploiting Bounded Staleness to Speed Up Big Data Analytics.

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

Proceedings of the 2014 USENIX Annual Technical Conference, 2014

FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop.

Alex Beutel, Partha Pratim Talukdar, Abhimanu Kumar, Christos Faloutsos, Evangelos E. Papalexakis, Eric P. Xing

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Automatic Classification of Communicative Functions of Definiteness.

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

Proceedings of the COLING 2014, 2014

Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data.

Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Consistent Bounded-Asynchronous Parameter Servers for Distributed ML.

Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing

CoRR, 2013

2012

Dating Texts without Explicit Temporal Cues

Abhimanu Kumar, Jason Baldridge, Matthew Lease, Joydeep Ghosh

CoRR, 2012

2011

Learning to rank from a noisy crowd.

Abhimanu Kumar, Matthew Lease

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Supervised language modeling for temporal resolution of texts.

Abhimanu Kumar, Matthew Lease, Jason Baldridge

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2009

A real world network pricing game with less severe Braess' Paradox

Abhimanu Kumar, Sanjib Kumar Das

CoRR, 2009