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Learned Fine-Tuner for Incongruous Few-Shot Learning

Oct 20, 2020
Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin

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Neural Neighborhood Encoding for Classification

Aug 19, 2020
Kaushik Sinha, Parikshit Ram

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Solving Constrained CASH Problems with ADMM

Jul 11, 2020
Parikshit Ram, Sijia Liu, Deepak Vijaykeerthi, Dakuo Wang, Djallel Bouneffouf, Greg Bramble, Horst Samulowitz, Alexander G. Gray

* 7th ICML Workshop on Automated Machine Learning (2020) 

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Lale: Consistent Automated Machine Learning

Jul 04, 2020
Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar

* KDD Workshop on Automation in Machine Learning ([email protected]), August 2020 

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How can AI Automate End-to-End Data Science?

Oct 22, 2019
Charu Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander Gray

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Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Sep 05, 2019
Dakuo Wang, Justin D. Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, Alexander Gray

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Type-Driven Automated Learning with Lale

May 24, 2019
Martin Hirzel, Kiran Kate, Avraham Shinnar, Subhrajit Roy, Parikshit Ram

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Automated Machine Learning via ADMM

May 01, 2019
Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R Conn, Horst Samulowitz, Alexander Gray

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Plug-and-play dual-tree algorithm runtime analysis

Jan 21, 2015
Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram

* Submitted to JMLR 

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Fast Exact Max-Kernel Search

Oct 26, 2012
Ryan R. Curtin, Parikshit Ram, Alexander G. Gray

* Under submission in SIAM Data Mining conference 

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MLPACK: A Scalable C++ Machine Learning Library

Oct 23, 2012
Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray

* Submitted to JMLR MLOSS (

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