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Pramod Kaushik Mudrakarta
Person information
- affiliation: University of Chicago, Department of Computer Science
- affiliation: Saarland University, Department of Mathematics and Computer Science
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Conference and Workshop Papers
- 2019
- [c4]Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew G. Howard:
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning. ICLR (Poster) 2019 - 2018
- [c3]Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? ACL (1) 2018: 1896-1906 - 2016
- [c2]Nedelina Teneva, Pramod Kaushik Mudrakarta, Risi Kondor:
Multiresolution Matrix Compression. AISTATS 2016: 1441-1449 - 2014
- [c1]Syama Sundar Rangapuram, Pramod Kaushik Mudrakarta, Matthias Hein:
Tight Continuous Relaxation of the Balanced k-Cut Problem. NIPS 2014: 3131-3139
Informal and Other Publications
- 2019
- [i6]Pramod Kaushik Mudrakarta, Shubhendu Trivedi, Risi Kondor:
Asymmetric Multiresolution Matrix Factorization. CoRR abs/1910.05132 (2019) - 2018
- [i5]Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
It was the training data pruning too! CoRR abs/1803.04579 (2018) - [i4]Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? CoRR abs/1805.05492 (2018) - [i3]Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew G. Howard:
K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning. CoRR abs/1810.10703 (2018) - 2015
- [i2]Syama Sundar Rangapuram, Pramod Kaushik Mudrakarta, Matthias Hein:
Tight Continuous Relaxation of the Balanced k-Cut Problem. CoRR abs/1505.06478 (2015) - [i1]Risi Kondor, Nedelina Teneva, Pramod Kaushik Mudrakarta:
Parallel MMF: a Multiresolution Approach to Matrix Computation. CoRR abs/1507.04396 (2015)
Coauthor Index
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