Avishek Saha
Avishek Saha
Machine Learning Scientist, Amazon
Verified email at amazon.com
Title
Cited by
Cited by
Year
Frustratingly easy semi-supervised domain adaptation
H Daumé III, A Kumar, A Saha
Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language …, 2010
1972010
Co-regularization based semi-supervised domain adaptation
A Kumar, A Saha, H Daume
Advances in neural information processing systems, 478-486, 2010
1612010
Online Learning of Multiple Tasks and Their Relationships
A Saha, P Rai, H Daumé III, S Venkatasubramanian
update 1 (1), 2, 0
107*
Domain adaptation meets active learning
P Rai, A Saha, H Daumé III, S Venkatasubramanian
Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural …, 2010
972010
Sequential dependencies
L Golab, H Karloff, F Korn, A Saha, D Srivastava
Proceedings of the VLDB Endowment 2 (1), 574-585, 2009
962009
Metric functional dependencies
N Koudas, A Saha, D Srivastava, S Venkatasubramanian
2009 IEEE 25th International Conference on Data Engineering, 1275-1278, 2009
862009
Active supervised domain adaptation
A Saha, P Rai, H Daumé, S Venkatasubramanian, SL DuVall
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
582011
New pixel-decimation patterns for block matching in motion estimation
A Saha, J Mukherjee, S Sural
Signal Processing: Image Communication 23 (10), 725-738, 2008
492008
A neighborhood elimination approach for block matching in motion estimation
A Saha, J Mukherjee, S Sural
Signal Processing: Image Communication 26 (8-9), 438-454, 2011
432011
Efficient protocols for distributed classification and optimization
H Daumé, JM Phillips, A Saha, S Venkatasubramanian
International Conference on Algorithmic Learning Theory, 154-168, 2012
372012
SKIP prediction for fast rate distortion optimization in H. 264
A Saha, K Mallick, J Mukherjee, S Sural
IEEE Transactions on Consumer Electronics 53 (3), 1153-1160, 2007
292007
Characterization and Modeling of PIDX Parallel I/O for Performance Optimization
S Kumar, A Saha, V Vishwanath
Conference on High Performance Computing Networking, Storage and Analysis, 2013
282013
Protocols for learning classifiers on distributed data
H Daume III, J Phillips, A Saha, S Venkatasubramanian
Artificial Intelligence and Statistics, 282-290, 2012
282012
Ultra high-dimensional nonlinear feature selection for big biological data
M Yamada, J Tang, J Lugo-Martinez, E Hodzic, R Shrestha, A Saha, ...
IEEE Transactions on Knowledge and Data Engineering 30 (7), 1352-1365, 2018
252018
HD III, and S. Venkatasubramanian
A Saha, P Rai
Online learning of multiple tasks and their relationships. In AISTATS, 2011
122011
A comparative study of morse complex approximation using different neighborhood graphs
D Maljovec, A Saha, P Lindstrom, PT Bremer, B Wang, C Correa, ...
Workshop on Topological Methods in Data Analysis and Visualization (accepted), 2013
102013
Modeling 4D changes in pathological anatomy using domain adaptation: Analysis of TBI imaging using a tumor database
B Wang, M Prastawa, A Saha, SP Awate, A Irimia, MC Chambers, ...
International Workshop on Multimodal Brain Image Analysis, 31-39, 2013
92013
Processing data using sequential dependencies
L Golab, H Karloff, P Korn, D Srivastava, A Saha
US Patent 8,645,309, 2014
72014
Active online multitask learning
A Saha, P Rai, H Daumé III, S Venkatasubramanian
ICML 2010 Workshop on Budget Learning, 2010
72010
A geometric algorithm for scalable multiple kernel learning
J Moeller, P Raman, S Venkatasubramanian, A Saha
Artificial Intelligence and Statistics, 633-642, 2014
62014
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Articles 1–20