Janardhan Rao (Jana)  Doppa
Janardhan Rao (Jana) Doppa
George and Joan Berry Chair Associate Professor, Computer Science, Washington State University
Verified email at eecs.wsu.edu - Homepage
Title
Cited by
Cited by
Year
Data-driven activity prediction: Algorithms, evaluation methodology, and applications
B Minor, JR Doppa, DJ Cook
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
652015
HC-Search: A Learning Framework for Search-based Structured Prediction.
JR Doppa, A Fern, P Tadepalli
Journal of Artificial Intelligence Research (JAIR) 50, 369-407, 2014
602014
Design-Space Exploration and Optimization of an Energy-Efficient and Reliable 3-D Small-World Network-on-Chip
S Das, JR Doppa, PP Pande, K Chakrabarty
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017
552017
Structured prediction via output space search
JR Doppa, A Fern, P Tadepalli
The Journal of Machine Learning Research 15 (1), 1317-1350, 2014
532014
Chance-constrained programs for link prediction
JR Doppa, J Yu, P Tadepalli, L Getoor
NIPS workshop on analyzing networks and learning with graphs, 2009
462009
Prune-and-score: Learning for greedy coreference resolution
C Ma, JR Doppa, JW Orr, P Mannem, X Fern, T Dietterich, P Tadepalli
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
432014
On-chip communication network for efficient training of deep convolutional networks on heterogeneous manycore systems
W Choi, K Duraisamy, RG Kim, JR Doppa, PP Pande, D Marculescu, ...
IEEE Transactions on Computers 67 (5), 672-686, 2017
422017
Optimizing 3D NoC design for energy efficiency: A machine learning approach
S Das, JR Doppa, DH Kim, PP Pande, K Chakrabarty
Proceedings of the IEEE/ACM International Conference on Computer-Aided …, 2015
412015
Imitation learning for dynamic VFI control in large-scale manycore systems
RG Kim, W Choi, Z Chen, JR Doppa, PP Pande, D Marculescu, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (9 …, 2017
392017
Hybrid network-on-chip architectures for accelerating deep learning kernels on heterogeneous manycore platforms
W Choi, K Duraisamy, RG Kim, JR Doppa, PP Pande, R Marculescu, ...
Proceedings of the International Conference on Compilers, Architectures and …, 2016
382016
A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video.
H Yu, N Siddharth, A Barbu, JM Siskind
Journal of Artificial Intelligence Research (JAIR) 52, 601-713, 2015
372015
HC-Search for structured prediction in computer vision
M Lam, JR Doppa, S Todorovic, TG Dietterich
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
352015
Output space search for structured prediction
JR Doppa, A Fern, P Tadepalli
International Conference on Machine Learning (ICML), 2012
322012
Learning Scripts as Hidden Markov Models.
JW Orr, P Tadepalli, JR Doppa, X Fern, TG Dietterich
AAAI Conference on Artificial Intelligence, 1565-1571, 2014
312014
HC-Search for Multi-Label Prediction: An Empirical Study.
JR Doppa, J Yu, C Ma, A Fern, P Tadepalli
AAAI Conference on Artificial Intelligence, 1795-1801, 2014
312014
Learning algorithms for link prediction based on chance constraints
JR Doppa, J Yu, P Tadepalli, L Getoor
European Conference on Machine Learning (ECML), 344-360, 2010
312010
Learning activity predictors from sensor data: Algorithms, evaluation, and applications
BD Minor, JR Doppa, DJ Cook
IEEE transactions on knowledge and data engineering 29 (12), 2744-2757, 2017
302017
Inverting Grice's maxims to learn rules from natural language extractions
M Sorower, J Doppa, W Orr, P Tadepalli, T Dietterich, X Fern
Advances in neural information processing systems 24, 1053-1061, 2011
272011
HC-Search: Learning Heuristics and Cost Functions for Structured Prediction.
JR Doppa, A Fern, P Tadepalli
AAAI Conference on Artificial Intelligence (Outstanding Paper Award), 2013
252013
Learning rules from incomplete examples via implicit mention models
JR Doppa, MS Sorower, M Nasresfahani, J Irvine, W Orr, TG Dietterich, ...
Journal of Machine Learning Research, Proceedings Track 20, 197-212, 2011
25*2011
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